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Disrupted structure and aberrant function of CHIP mediates the loss of motor and cognitive function in preclinical models of SCAR16

  • Chang-he Shi ,

    Contributed equally to this work with: Chang-he Shi, Carrie Rubel

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Writing – original draft (YX); (JCS)

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Carrie Rubel ,

    Contributed equally to this work with: Chang-he Shi, Carrie Rubel

    Roles Conceptualization, Formal analysis, Visualization, Writing – original draft

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Sarah E. Soss,

    Roles Data curation, Formal analysis, Writing – original draft

    Current address: D.M. Grant NMR Center and Department of Chemistry, University of Utah, Salt Lake City, Utah, United States of America

    Affiliation Departments of Biochemistry and Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America

  • Rebekah Sanchez-Hodge,

    Roles Data curation, Visualization

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Shuo Zhang,

    Roles Data curation, Formal analysis

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Sabrina C. Madrigal,

    Roles Investigation

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Saranya Ravi,

    Roles Investigation

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Holly McDonough,

    Roles Data curation

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Richard C. Page,

    Roles Formal analysis, Visualization

    Affiliation Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio, United States of America

  • Walter J. Chazin,

    Roles Formal analysis, Writing – original draft

    Affiliation Departments of Biochemistry and Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America

  • Cam Patterson,

    Roles Conceptualization, Funding acquisition

    Affiliation The Office of the Chancellor, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America

  • Cheng-yuan Mao,

    Roles Data curation, Formal analysis

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Monte S. Willis,

    Roles Writing – review & editing

    Current address: Indiana Center for Musculoskeletal Health, University of Indiana School of Medicine, Indianapolis, Indiana, United States of America

    Affiliations McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, Department of Pharmacology, and Department of Pathology and Lab Medicine at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Hai-Yang Luo,

    Roles Data curation, Formal analysis

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Yu-sheng Li,

    Roles Investigation

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Donte A. Stevens,

    Roles Data curation, Investigation, Visualization

    Affiliation McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

  • Mi-bo Tang,

    Roles Data curation, Formal analysis

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Pan Du,

    Roles Methodology, Resources

    Affiliation National Center for International Research in Cell and Gene Therapy, Sino-British Research Centre for Molecular Oncology, School of Basic Medical Sciences, Academy of Medical Sciences, at Zhengzhou University, Zhengzhou, Henan, China

  • Yao-he Wang,

    Roles Methodology, Resources

    Affiliation National Center for International Research in Cell and Gene Therapy, Sino-British Research Centre for Molecular Oncology, School of Basic Medical Sciences, Academy of Medical Sciences, at Zhengzhou University, Zhengzhou, Henan, China

  • Zheng-wei Hu,

    Roles Data curation, Formal analysis

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  • Yu-ming Xu ,

    Roles Conceptualization, Funding acquisition, Resources, Supervision (YX); (JCS)

    Affiliation Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China

  •  [ ... ],
  • Jonathan C. Schisler

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing (YX); (JCS)

    Affiliations McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, Department of Pharmacology, and Department of Pathology and Lab Medicine at The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America

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Disrupted structure and aberrant function of CHIP mediates the loss of motor and cognitive function in preclinical models of SCAR16

  • Chang-he Shi, 
  • Carrie Rubel, 
  • Sarah E. Soss, 
  • Rebekah Sanchez-Hodge, 
  • Shuo Zhang, 
  • Sabrina C. Madrigal, 
  • Saranya Ravi, 
  • Holly McDonough, 
  • Richard C. Page, 
  • Walter J. Chazin


CHIP (carboxyl terminus of heat shock 70-interacting protein) has long been recognized as an active member of the cellular protein quality control system given the ability of CHIP to function as both a co-chaperone and ubiquitin ligase. We discovered a genetic disease, now known as spinocerebellar autosomal recessive 16 (SCAR16), resulting from a coding mutation that caused a loss of CHIP ubiquitin ligase function. The initial mutation describing SCAR16 was a missense mutation in the ubiquitin ligase domain of CHIP (p.T246M). Using multiple biophysical and cellular approaches, we demonstrated that T246M mutation results in structural disorganization and misfolding of the CHIP U-box domain, promoting oligomerization, and increased proteasome-dependent turnover. CHIP-T246M has no ligase activity, but maintains interactions with chaperones and chaperone-related functions. To establish preclinical models of SCAR16, we engineered T246M at the endogenous locus in both mice and rats. Animals homozygous for T246M had both cognitive and motor cerebellar dysfunction distinct from those observed in the CHIP null animal model, as well as deficits in learning and memory, reflective of the cognitive deficits reported in SCAR16 patients. We conclude that the T246M mutation is not equivalent to the total loss of CHIP, supporting the concept that disease-causing CHIP mutations have different biophysical and functional repercussions on CHIP function that may directly correlate to the spectrum of clinical phenotypes observed in SCAR16 patients. Our findings both further expand our basic understanding of CHIP biology and provide meaningful mechanistic insight underlying the molecular drivers of SCAR16 disease pathology, which may be used to inform the development of novel therapeutics for this devastating disease.

Author summary

CHIP is a multi-functional protein that bridges two opposing cellular processes: protein refolding and protein degradation. Mutations in CHIP are drivers of a debilitating and fatal disease, called spinocerebellar ataxia autosomal recessive 16 (SCAR16). Patients with CHIP mutations suffer from pathologies in both the brain, neuroendocrine, and muscle systems. Why or how CHIP mutations drive disease is unclear. At this early stage in understanding SCAR16, it is imperative to establish preclinical models to help understand the pathophysiology and mechanism of the disease, as well as to use as a platform to design and test therapies. In this manuscript we identified the structural, biochemical, cellular, and in vivo repercussions of the first mutation described in SCAR16 patients using two rodent models engineered with CRISPR/Cas9 editing to mimic a disease-causing human mutation. We established a new framework to better understand diseases involving the loss of CHIP function, the spectrum of disease-causing mutations, and the affected pathways that, in turn, will allow precision medicine approaches to treat this disease.


Protein quality control (PCQ) involves a specialized cellular surveillance system that monitors protein integrity, identifies unfolded or damaged proteins, and then either repairs or targets them for degradation. CHIP is abundantly expressed in most tissues and plays a central role in maintaining protein quality control [1]. CHIP is uniquely suited as a regulator of protein quality control due to its dual functions as both a co-chaperone protein and ubiquitin ligase enzyme. As a co-chaperone, CHIP interacts with heat shock protein (HSP)-bound proteins to aid in substrate stabilization and refolding [2]. Conversely, as a ubiquitin ligase CHIP ubiquitinates terminally-defective proteins and prepares them for degradation by the Ubiquitin Proteasome System (UPS) [3]. Since the discovery of CHIP in 1999 [1], numerous reports detailing CHIP’s co-chaperone and ubiquitin ligase activities in both the brain and heart have been published [47]. However, recent reports describing surprising new roles for CHIP have emerged. These roles include autonomous chaperone activity [8,9], the regulation of cardiac metabolic homeostasis via the metabolic sensor AMPK (AMP-activated protein kinase) [9], and DNA damage repair [10]. Most recently, CHIP was implicated in the pathophysiology associated with the disease spinocerebellar autosomal recessive 16 (SCAR16) [11,12], representing the first direct association between a CHIP polymorphism and a human disease.

SCAR16 is a form of autosomal recessive spinocerebellar ataxia that can also be accompanied with hypogonadism, similar to the clinical phenotype of Gordon Holmes Syndrome (GHS) [13]. Despite over 100 years of clinical recognition, only recently have causal mutations for GHS been identified. These mutations include the ubiquitin ligase RNF216 and deubiquitinase OTUD4 [14], which suggest that faulty ubiquitination plays an essential role in the pathophysiology of ataxia. Using exome sequencing, we identified a mutation in STUB1 (the gene encoding CHIP) in two patients initially diagnosed with GHS [11]. We found that this STUB1 mutation (p.T246M) resulted in a loss in the ubiquitin ligase function of CHIP [11]. Combined with our studies demonstrating that mice lacking the expression of CHIP display motor deficiencies and some aspects of the hypogonadism observed in patients with STUB1 mutations, our CHIP knockout mouse represented the first animal model of SCAR16 [11]. Subsequently, numerous clinical studies identified STUB1 mutations, confirming our initial identification of a new disease [12,1522]. Additional studies using in vitro models suggest that CHIP mutations can impart differential biochemical characteristics [23,24], although how these characteristics relate to cellular function and diseases processes are not known.

The amino acid substitutions reported in cases of SCAR16 result in nonsense, missense, frameshift, or splicing mutations; the majority of which are predicted to significantly alter protein function [12]. Given the clinical heterogeneity of neuroendocrine phenotypes in SCAR16 patients, specific CHIP mutations likely have varying biophysical and functional consequences to CHIP function. In this context, an animal model with a total loss of CHIP may not adequately represent the spectrum of human disease represented by SCAR16. For these reasons, we complemented the biophysical and cellular repercussions of CHIP-T246M with two rodent models engineered with CRISPR/Cas9 to mimic this human mutation. Additionally, we performed in-depth behavioral assessments to determine the effects of T246M mutation at a whole-animal level to establish a suitable preclinical model for SCAR16. Studying CHIP mutations both in vitro and in vivo allows us to delineate the contribution of co-chaperone, ubiquitin ligase, and other emerging CHIP activities to specific deficits observed in a disease-relevant context in vivo. These results provide insights that are valuable for the development of effective therapies for this devastating degenerative disease.


Biochemical and cellular analysis of CHIP-T246M

The T246M mutation destabilizes the structure of the U-box and CHIP-T246M forms decamers and dodecamers in vitro and in cells: Asymmetric homodimerization of CHIP as well as conformational flexibility are required for CHIP ubiquitin ligase activity. Critical to both the dimerization and conformational flexibility is the U-box domain [3,25] where T246 is located and is a highly conserved residue across CHIP homologs [11]. Furthermore, T246 is located in the core of a conserved beta hairpin turn that lies at the interface between the two molecules of the CHIP dimer (Fig 1A). Modeling of the T246M amino acid substitution predicts that this mutation would, in the absence of any structural rearrangement, result in a clash between M246 and L275. Thus, the T246M mutation likely perturbs the hydrophobic core of the U-box, impacting the tertiary structure of the U-box and hence disrupting the formation of functional dimers, consequently reducing or abolishing CHIP’s ubiquitin ligase function towards both chaperone and non-chaperone substrates. To test the effects of T246M substitution on U-box structure, we performed solution NMR on purified WT and T246M CHIP U-box domains. Whereas WT CHIP U-box exhibit distinct peaks spread throughout the 2D 15N-1H HSQC spectrum characteristic of a stable, structured domain (Fig 1B), the T246M spectrum is collapsed and has broad resonances, suggesting the loss of stable globular structure, multiple conformations and aggregation (Fig 1B). Additionally, circular dichroism spectra were acquired for the isolated WT and T246M CHIP U-box domains. Compared to the secondary structure content of the WT U-box, the signal from T246M U-box was consistent with loss or regular secondary structure and a shift to random coil conformation (Fig 1C). Further, we monitored the protein melting temperature (Tm) at 222 nm, the characteristic wavelength for α-helices. The WT U-box exhibited a sigmoidal curve consistent with unfolding of a globular, folded domain with a Tm of 30 °C, whereas T246M appeared to be unfolded at room temperature and did not undergo any change with temperature (Fig 1C). Together these data suggest the T246M mutation destabilizes the U-box domain, resulting in a loss of secondary and tertiary structure.

Fig 1. CHIP-T246M disrupts the structure of the U-box and promotes the formation of soluble oligomers.

(A) The structure of the U-box β-hairpin harboring residue 246 is shown for CHIP-WT (purple) and a Rosetta-relaxed model of CHIP-T246M (orange). The left panels show the CHIP-WT and CHIP-T246M backbones and the side chain of T246. The middle panels show the CHIP-T246M model. The right panels show T246M and the clashes (red discs) that would occur without adjustment of the U-box backbone structure. The lower panels shows identical structures rotated 90° about the x-axis from the view in the upper panels. Hydrogen bonds between residue 246 and neighboring residues are shown as black dashed lines for the left and middle panels. (B) 600-MHz 15N-1H transverse relaxation-optimized spectroscopy-HSQC spectra collected at 293 K for 2H,15N-labeled WT (left) and T246M (right) CHIP U box (218–303). (C, upper) Circular dichroism spectroscopy data collected for the U-box of WT (purple) and T246M (orange). (C, lower) Melting point determinations for the U-box of WT and T246M CHIP at 222nm. (D) Size distribution of full-length proteins of either WT (purple), T246M (orange), K30A (blue) and H260Q (green) CHIP determined by size-exclusion chromatography and multi-angle lights scattering. The molecular mass of oligomeric species of each protein are indicated (left Y-axis, thick lines) and the Rayleigh ratio chromatographs represent the amount of light scattering (right Y-axis, thin lines). (E) COS-7 cells were co-transfected with the indicated vectors (CTRL = pcDNA3, WT = pcDNA3-mycCHIP, T246M = pcDNA3-myc CHIP-T246M, K30A = pcDNA3-mycCHIP-K30A, H260Q = pcDNA3-mycCHIP-H260Q). Cells were collected on ice and total protein collected and freshly separated by BN PAGE under native conditions or SDS-PAGE under reducing conditions and immunoblotted with an anti-myc (CHIP). Locations of molecular weight standards in kilodaltons (kD) are indicated. (F) COS-7 cells were co-transfected with the indicated transgenes. 24 hours post transfection cells were fixed and immunostained for myc-CHIP expression (scale bar = 20 microns).

Previous size exclusion chromatography (SEC) analysis suggested that full-length CHIP harboring the T246M formed large aggregates greater than 670 kDa [23,24], however, SEC alone cannot account for differences in protein conformation or account for protein-column interactions [26]. Given the known dynamics of CHIP conformation in solution, we used an analytical approach, SEC coupled with multi-angle light scattering, to determine true molar mass and radius in solution and compared these data to the composition of native CHIP-T246M when expressed in cells using blue native PAGE and immunoblot analysis. We included in these analyses two synthetic and domain inactivating mutations of CHIP, K30A and H260Q. These mutations abolish either the chaperone binding or ubiquitin ligase function of CHIP, respectively [27]. As expected, both the WT protein and the K30A mutant were predominantly dimers, 72 kDa (Fig 1D, Table 1). However, the U-box domain mutants T246M and H260Q were detected as higher-order oligomers, suggesting CHIP-T246M exist in cells predominantly as 10-12mers (Fig 1D). Native gels of WT CHIP and the same point mutants expressed in COS-7 cells also confirmed that CHIP-WT and CHIP-K30A form dimers whereas CHIP-T246M and CHIP-H260Q form higher-order oligomers (Fig 1E). Next, we performed indirect immunofluorescence to observe CHIP localization and expression patterns in the same cell model. Not surprisingly, CHIP-WT protein is detected as diffuse staining throughout the cytoplasm and within the nucleus, while CHIP-T246M protein appears as punctate staining in the cytoplasm and perinuclear regions, perhaps reflective of CHIP-T246M oligomers (Fig 1E). Taken together, these data suggest that the mutation destabilizes the U-box domain resulting in the loss of ubiquitin ligase activity of CHIP-T246M previously observed [11] and promotion of oligomerization.

Table 1. SEC-MALS analysis of CHIP proteins.

The true molecular weight (mw) in Daltons is provided along with the fractional contribution of each oligomeric species (Xmer) of CHIP identified. With some proteins, a small amount was detected as very high molecular weight (VWMW).

CHIP-T246M maintains chaperone activity in vitro.

The oligomerization of CHIP-T246M observed in vitro could explain the loss of ubiquitin ligase activity we previously observed [11], as well as alter chaperone and co-chaperone activities. CHIP can directly chaperone the refolding of heat-denatured luciferase and can further increase HSP-mediated refolding of heat-denatured luciferase [8]. Moreover, CHIP increases the activity of AMP-activated kinase (AMPK) in vitro [9]. To determine if CHIP-T246M also results in a loss of chaperone-related activities, we tested the effect of this mutation on luciferase refolding and AMPK activity in vitro. Despite the oligomeric state of CHIP-T246M, this mutant was able to promote the refolding of heat denatured luciferase both in the absence and presence of the chaperones HSP40 and HSP70 (Fig 2A), unlike the synthetic K30A mutant that cannot bind chaperones and has decreased chaperone activity, as previously described [8]. Likewise, CHIP-T246M still functioned as an AMPK chaperone, with a similar EC50 to that of CHIP-WT (Fig 2B), an effect that required full-length CHIP, as U-box constructs had no effect on AMPK activity (Fig 2B).

Fig 2. CHIP-T246M has chaperone activity in cell-free assays.

(A) Relative luciferase activity on heat-denatured luciferase after one hour incubation with the indicated CHIP proteins (CTRL = no protein, IgG = immunoglobulin G), either in the absence (left) or presence of HSP40 and HSP70, represented by dot plot and summarized by the mean ± 95% CI, N = 4 experimental replicates: *, **** correspond to p < 0.05, and 0.0001 via Tukey’s post hoc test compared to CHIP-WT, †, †††† correspond to p < 0.05, and 0.0001 via Tukey’s post hoc test compared to IgG; ns indicates p > 0.05 compared to IgG. (B) AMPK kinase activity towards the Z’LYTE peptide substrate in the presence of increasing amounts of the indicated recombinant CHIP proteins or IgG protein control represented by scatter plot and summarized by the mean ± 95% CI, N = 3 experimental replicates. The half maximal effective concentration (EC50) for each protein is included.

The T246M mutation increases co-chaperone activity.

When cells are exposed to heat or when CHIP expression is increased, the co-chaperone activity of CHIP initiates the heat shock response through the activation of heat shock factor 1 (HSF1). At the same time, heat induces the oligomerization of CHIP both in vitro and in cells, enhancing the chaperone activity of the protein while not affecting ubiquitin ligase activity [8]. Remarkably, the oligomerization of CHIP-WT that occurs with heat resembles the oligomerization of CHIP-T246M and–H260Q [8]. Given T246M increased the interaction between CHIP and HSC70/HSP70 [11], the oligomeric status of CHIP-T246M (Fig 1E), and our observation that CHIP-T246M retains in vitro co-chaperone activity (Fig 2A), we hypothesized that CHIP-T246M would still have the ability to co-chaperone HSF1 in cells. To test whether CHIP’s regulation of HSF1 remains intact with T246M, we transiently expressed CHIP constructs in COS-7 cells and measured the nuclear translocation of HSF1 and changes in HSF1 transcriptional activity. As previously reported [28], we observed that expression of CHIP-WT promotes the nuclear translocation of HSF1 (Fig 3A) and stimulates HSF1 activity (Fig 3B) in cells cultured at physiological temperature. Remarkably, expression of CHIP-T246M also promoted HSF1 nuclear translocation to the same extent as CHIP-WT (Fig 3A) and further enhanced HSF1 transcriptional activity (Fig 3B). In contrast, abolishing chaperone interactions via the K30A mutation of CHIP did not affect HSF1 dynamics (Fig 3A and 3B), whereas the H260Q mutant increased HSF1 activity, as previously shown [29]. The ability of T246M to affect HSF1 was dependent on a functional TPR domain, as the effect of T246M on HSF1 activity is lost with the K30A-T246M double mutant (Fig 3B).

Fig 3. Cellular characterization of CHIP-T246M revealed enhanced activation of HSF1, changes in solubility, and increased turnover.

(A) Immunoblot analysis of HSF1, CHIP, HP1α (nuclear marker) and MEK (cytosolic marker) in cytosolic (C) and nuclear (N) fractions from COS-7 cells transiently transfected with the indicated vectors (CTRL = pcDNA3, WT = pcDNA3-mycCHIP, T246M = pcDNA3-mycCHIP-T246M, K30A = pcDNA3-mycCHIP-K30A) treated with or without heat shock as indicated. Densitometry of relative HSF1 protein is represented by the bar graph and 95% CI, N = 3 biological replicates; effect of heat shock: ‡ and † correspond to p < 0.01 and 0.0001 via Sidak’s post hoc comparison test to cytosolic or nuclear HSF1 in control conditions at 37 °C; effect of CHIP transgene: * p < 0.05 via Dunnett’s post hoc comparison to nuclear HSF1 levels in control conditions. (B) Bar graph of HSF1 transcription activity represented by the mean and 95% CI normalized to control vector (pcDNA) conditions in COS-7 cells transiently transfected with increasing amount if DNA using the indicated vectors (K30A-T246M = pcDNA3-mycCHIP-K30A-T246M, GFP = green fluorescent protein), N = 4 biological replicates, *** p < 0.0001 via Dunnet’s multiple comparison test to WT conditions. Immunoblot analysis of the myc-tag and β-tubulin confirmed transgene expression. (C) COS-7 cells were co-transfected with the indicated vectors (transgenes, HA-WT = pcDNA3-HA-CHIP, Myc-TM = pcDNA3-mycCHIP-T246M, WT + TM = HA-WT and Myc-TM). CHIP protein was immunoprecipitated with Anti-HA or Anti-Myc affinity gel. The inputs and resulting precipitants (IP) were separated by SDS-PAGE and immunoblotted with the indicated antibodies. (D) COS-7 cells were co-transfected with the indicated transgenes and cell lysates were separated by BN-PAGE and immunoblotted with the indicated antibodies. Locations of molecular weight standards in kilodaltons (kD) are indicated. (E) Micrographs of indirect immunofluorescence from COS-7 expressing the indicated transgenes to detect CHIP-WT (left), CHIP-T246M (center), or both (right). DAPI nuclear staining is also included (right panels) and the scale bar represents 20 microns. Co-localization of HA-WT and Myc-TM is represented by scatter plot and the indicated Pearson correlation (ρ). (F) Solubility analysis (in 1% Triton X-100, TX-100) of CHIP proteins, HSP70, and AMPKα in COS-7 cells determined by immunoblot analysis. (G) Immunoblot analysis of CHIP expression (top) in COS-7 cells treated with 50 μg/ml cycloheximide (CHX) for the indicated time (h) in the presence or absence of 20 μM MG132. β-tubulin. Densitometry analysis (bottom) represented by dot plot and summarized by the mean ± 95% CI of relative levels of CHIP protein were normalized to β-tubulin, N = 3 biological replicates, ‡, ‡‡, ‡‡‡ correspond to p < 0.05, 0.01, 0.0001 compared to starting expression levels within each construct via Tukey’s post hoc test.

Co-expression of CHIP-WT and CHIP-T246M does not alter oligomerization or localization.

The recessive basis of SCAR16 suggests that the wild-type allele is sufficient to overcome the disease-bearing mutated allele. Given the U-box is important to dimerization of CHIP we hypothesized that CHIP-WT would not interact with CHIP-T246M. Interestingly, using extracts from cells expressing both CHIP-WT and CHIP-T246M, these two proteins co-immunoprecipitated each other (Fig 3C) suggesting the two forms of CHIP can interact with each other. However, when we directly separated the lysates via BN-PAGE immunoblot analysis, we observed only subtle differences in oligomerization patterns when CHIP-WT and CHIP-T246M are co-expressed compared to the single protein expression conditions (Fig 3D). Given that BN-PAGE can limit antibody detection of proteins given the native conditions, possibly obscuring changes in visualizing heterocomplexes, we also analyzed expression via indirect immunofluorescence, and we observed that the localization of CHIP-WT was unaffected by co-expression of CHIP-T246M (Fig 3E) despite extensive overlap in the localization of CHIP expression within cells (Fig 3E). Together, these data suggest that while WT and T246M CHIP interact in crude extracts, the localization and dimerization status of CHIP-WT is largely unaffected by the presence of CHIP-T246M. Therefore, CHIP function likely also remains intact in the heterozygous condition and the presence of WT CHIP does not appear to alter the oligomerization or distribution of CHIP-T246M, consistent with the recessive nature of this disease-causing mutation.

Change in solubility and increased proteasome-dependent turnover of CHIP-T246.

We consistently observed lower levels of soluble CHIP-T246M, CHIP-H260Q, and CHIP-K30A/T246M protein relative to CHIP-WT when transiently transfecting equal amounts of vector DNA (Fig 3B). We hypothesized that this decrease in soluble CHIP-T246M expression could be due to changes in solubility and/or stability. To test for changes in solubility, we performed SDS-PAGE and immunoblot analysis of CHIP in both the soluble and insoluble fraction of whole cell lysates. We observed CHIP-T246M, -H260Q, and -K30A-T246M CHIP in both the soluble and insoluble fraction; in contrast, CHIP-WT or -K30A was found only in the soluble fraction (Fig 3F). In addition to the change in solubility, we also observed a shorter half-life of soluble CHIP-T246M compared to CHIP-WT, an effect that that was dependent on proteasome activity (Fig 3G). Taken together, our data suggest that the T246M mutation results in altered cellular distribution, solubility, and stability, likely contributing to a change in CHIP function.

Protein levels of CHIP-T246M are reduced in fibroblasts from SCAR16 patients and mice engineered with the equivalent mutation.

Prior to this report, analyses of CHIP-T246M by others were limited to in vitro analyses or exogenous expression of CHIP in cells that robustly express endogenous CHIP [23,24]. Thus, we utilized primary embryonic fibroblasts (MEFs) isolated from mice engineered with the corresponding murine amino acid substitution at the endogenous CHIP locus (T247M) [30]. Consistent with our exogenous expression models, soluble CHIP protein levels were robustly reduced in MEFs isolated from different M246/M246 mouse embryos relative to either T246/T246 or T246/M246 littermates (Fig 4A); however the cellular localization of endogenous CHIP protein did not appear to be affected by the T246M mutation (Fig 4B). The decrease in steady-state CHIP in M246/M246 MEFs appeared to be at the post-translational level, as mRNA levels of Stub1 were equal across all three genotypes (Fig 4C). We isolated protein extracts from patients homozygous for the CHIP-T246M mutation, and again, we found a decrease in steady-state soluble CHIP-T246M protein (Fig 4D). Together these data suggest that the reduction in CHIP-T246M protein is likely a result of post-translational regulation.

Fig 4. CHIP-T246M expressed from the endogenous locus results is regulated post-translationally resulting in decreased steady-state protein levels, however, interactions between CHIP and known interactors are not affected.

(A) Immunoblot analysis of CHIP and β-tubulin protein in primary fibroblasts (MEFs) isolated from T246/T246 (T/T), T246/M246 (T/M), or M246/M246 (M/M) mouse embryos (B) Maximum intensity projections of CHIP immunofluorescence in MEFs treated with 0.05% DMSO or MG132. (C) qPCR analysis of Stub1 mRNA levels in MEFs represented by the dot plot and summarized by the mean and 95% confidence intervals. (D) Immunoblot analysis of CHIP and β-actin protein in fibroblasts isolated from control patients (WT) or siblings that are homozygous for CHIP-T246M (II-1 and II-2). (E) Immunoblot analysis of CHIP under reducing SDS-PAGE (left) or blue native PAGE (right) of varying amounts of protein extracts (μg) from cerebellum (Cbl) or testes (Ts) from mice with the indicated genotypes. Protein loading on the reducing blot was confirmed via stain-free technology. As a reference, migration of recombinant CHIP protein is provided (purple). The dashed boxes identify the regions used for longer exposure. (F) Immunoblot analysis of CHIP and β-tubulin in soluble cell lysates from either T/T or M/M, fibroblasts, or fibroblasts isolated from CHIP−/− embryos (KO) after exposure to cycloheximide (CHX) indicated in hours (h). Two exposures of CHIP immunoblots are provided to help visualize M/M conditions. (G) Immunoblot analysis of CHIP and β-actin in either the soluble or insoluble fraction of lysates or whole cell lysates from T/T or M/M MEFs treated with 20 μM MG132 or 0.05% DMSO control for 4 hours. (H) Immunoblot analysis of AMPKα1 and CHIP in cell lysates from T/T or M/M MEFs either before (input) or after immunoprecipitation (IP) of the indicated protein. Control samples (C) contained a mixture of 50% T/T and T/M and were immunoprecipitated with either rabbit IgG or goat IgG as controls for the CHIP and AMPKα1 antibodies, respectively. (I) Immunoblot analysis of HSC70 and CHIP in cell lysates from T/T or M/M MEFs either before (input) or after immunoprecipitation (IP) of CHIP. Control samples (C) contained a mixture of 50% T/T and T/M and were immunoprecipitated with rabbit IgG to control for the CHIP antibody. (J) Immunoblot analysis of HSP70 and CHIP in MEFs with the indicated genotypes that were treated without heat shock (no) or with heat shock (HS) followed by the indicated recovery time. Densitometry of relative HSP70 protein is represented by the bar graph and 95% CI, N = 3; **, † correspond to p < 0.01 or 0.05 via Tukey’s post hoc test comparing M/M to either T/T or CHIP−/−, respectively, at the indicated time point.

High molecular weight species of endogenous CHIP-T246M in mouse tissue.

The decrease in steady-state CHIP-T246M was also observed in protein extracts prepared from mouse cerebellum (Fig 4E). We analyzed potential differences in the migration of CHIP using blue native PAGE from fresh tissue isolated from either T246/T246 or M246/M246 mice. In protein extracts from wild-type mouse cerebellum and testes, we observed CHIP-reactive bands predominantly at the same size as the recombinant CHIP-WT dimer (Fig 4E). In contrast, in samples from M246/M246 mouse cerebellums we did not observe any lower molecular weight CHIP species, rather we observed a distinct CHIP-reactive band at the same size of recombinant CHIP-T246M (Fig 4E), and a similar distinct, higher molecular weight species in protein extracts isolated from testes (Fig 4E). These data suggest that even at reduced levels of steady-state expression, CHIP-T246M does not appear to form dimers, moreover, the migration of CHIP-T246M is consistent with a specific oligomeric state.

Endogenous CHIP-T246M is degraded by the proteasome.

Given the difference in steady-state soluble protein levels of CHIP-T246M in primary cells from patients and our preclinical models, we evaluated the turnover rate of CHIP in MEFs. Similar to exogenously expressed CHIP proteins (Fig 3G), the turnover of soluble CHIP-T246M protein was rapid (t1/2 = 1.2 h) compared to the stable, CHIP-WT protein (Fig 4F). In fact, CHIP-T246M protein was undetectable after 6 hours of cycloheximide chase compared to approximately 75% of CHIP-WT protein that remained after 6 hours (Fig 4F). To evaluate the solubility distribution of CHIP-T246M and whether this distribution was effected by proteasome inhibition, we treated MEFs with 20 μM MG132 or 0.05% DMSO for 4 hours. We collected soluble, insoluble and total protein fractions from samples containing equal cell numbers and analyzed protein levels using immunoblot analysis. Total T246M protein is dramatically reduced compared to WT protein (Fig 4G). Secondly, the change in total protein levels is dramatically higher with proteasome inhibition for T246M (4-fold) protein compared to WT, suggesting a robust proteasome-dependent turnover of endogenous CHIP-T246M (Fig 4G).

CHIP-T246M maintains protein-protein interactions and the response to heat shock.

We previously demonstrated that exogenous CHIP-T246M immunoprecipitates more chaperone clients, such as HSP70 and HSC70, compared to CHIP-WT [11]. However, given the strong decrease in steady-state CHIP-T246M protein expression seen in primary cells, it is possible that these interactions are lost, resulting in a CHIP null phenotype. Remarkably, in primary cells we found that CHIP-T246M maintains interactions with its chaperone substrate AMPK (Fig 4H), as well as HSC70 (Fig 4I), at levels similar to CHIP-WT, consistent with our observations that CHIP-T246M exhibits activity towards these proteins in vitro (Fig 2). CHIP plays an important role in inducing the heat shock response via activation of HSP70, as such, we exposed primary cells to heat and to determine if cells expressing CHIP-T246M still respond to heat shock. M246/M246 cells still maintained activation of HSP70 during the recovery period following heat shock (Fig 4J), whereas cells completely lacking CHIP expression had an attenuated response, as previously described [28]. These data demonstrate that CHIP-T246M may retain some chaperone function, despite the increase in turnover.

Preclinical models of SCAR16

Generating in vivo models of CHIP-T246M.

Given the advantages of both mouse and rat models to study neurological disease, we developed a rat model also harboring the same endogenous CHIP-T246M mutation. Similar to the decrease seen in fibroblasts isolated from patients with T246M mutations, steady-state levels of CHIP-T246M expression are 40% lower in protein extracts isolated from the cerebellums, whole brain, and testes of T246M rats (Fig 5A) and further decrease with age (Fig 5B). The effect of the T246M mutation on CHIP expression in the cerebellum at 32 weeks of age was also evident via immunohistochemical reactivity (Fig 5C) and indirect immunofluorescence analysis (Fig 5D) in the rat model where we also identified Purkinje cell degeneration, evidenced by decreased calbindin staining (Fig 5D and 5E). In mice, we observed a similar decrease in CHIP-T246M expression in the brain and testes (Fig 5F) as well as in the cerebellum, where CHIP-T246M further declined in aged mice (Fig 5G). As we previously described, CHIP is robustly expressed in Purkinje cells [11], and much like the rat model, in aged CHIPM246/M246 mice, we observed a decrease in CHIP reactivity in Purkinje cells as well as a loss in calbindin-positive cells (Fig 5H), similar to our CHIP null phenotype [11]. As seen in primary cells (Fig 4C) the decrease in tissue expression of CHIP-T246M was not due to differences in levels of the mRNA that encodes CHIP (Fig 5I).

Fig 5. Rodents engineered with CHIP-T246M had decreased expression of CHIP in the brain and testes, Purkinje cell degeneration, increased mortality, and selective tissue atrophy.

(A) Immunoblot analysis of CHIP and β-actin in the cerebellum (cereb), brain, and testes of rats with either T246/T246 (T/T), T246/M246 (T/M), or M246/M246 (M/M) genotypes at harvested at different ages. (B) Densitometry analysis of relative CHIP protein represented by dot plot and summarized by the mean ± 95% CI: *** p < 0.001 compared to T/T or T/M; ‡, ‡‡‡ correspond to p < 0.05, or 0.001 compared to previous time point via Tukey’s post hoc test. (C) Representative micrographs of immunohistochemical detection of CHIP expression in rat cerebellums, 32 weeks of age, scale bar = 100 microns. (D) Indirect immunofluorescence of either calbindin or CHIP expression and the false color overlap (co-expression) in cerebellums of rats with the indicated genotypes, 32 weeks of age, scale bar = 100 microns. (E) Average number of Purkinje cells per section from rats at 32 weeks of age, summarized by the mean and 95% CI, N = 3 animals per genotype. Immunoblot analysis of CHIP in (F) brain and testes (26 weeks of age) or (G) cerebellum of mice of varying age, with the indicated genotypes. Densitometry analysis of relative CHIP protein levels, N = 3, * p < 0.05 via t-test in comparing CHIP in M/M mice at 52 versus 26 weeks normalized to stain-free protein levels. (H) Representative micrographs of immunohistochemical detection of either CHIP or calbindin expression in mouse cerebellums with the indicated genotypes, 52 weeks of age, scale bar = 200 microns. (I) qPCR analysis of Stub1 mRNA levels in four different tissues (heart, liver, brain, testes) isolated from mice with the indicated genotypes, N = 3 mice per tissue. Relative mRNA levels are represented by the dot plot and summarized by the mean and 95% confidence intervals.

Decreased survival, body weight, and brain mass in CHIP-T246M models.

We observed an increase in mortality in M246/M246 rats (Fig 6A), similar to what was observed in CHIP null mice [31]. We also found lower body weights across ages in M246/M246 rats (Fig 6B) and mice (Fig 6C). In addition to lower body weights, there was a selective, age-dependent atrophy in the brain of M246/M246 mice, whereas the heart was not affected (Fig 6D). Together, these data demonstrate that our two preclinical models of T246M recapitulate clinical features of SCAR16 in patients including decreased protein expression of CHIP, neurodegeneration, as well as neuro- and gonadal-atrophy.

Fig 6. Decreased mortality and weight in CHIP-T246M rodents.

(A) Survival analysis of rats with the indicated genotypes (Mantel-Cox test) with the median survival (ms) indicated in weeks (w), N = 12 animals per genotype. Total body weight of (B) rats or (C) mice with the indicated genotypes over age represented by scatter plot and summarized by the mean ± 95% CI. For rats, N = 10 (per genotype); for mice, N = 30, 29, and 18 for T/T, T/M, and M/M, respectively. Tukey’s post hoc test: * p < 0.05 M/M vs. T/T; †, ††, ††† correspond to p < 0.05, 0.01, 0.001 comparing M/M to T/T and T/M; # p < 0.05 M/M vs. T/M. (D) brain weight or (E) heart weight normalized to tibia length from mice with indicated genotypes represented by dot plot and summarized by the mean ± 95% CI: ††† corresponds to p < 0.001 comparing M/M to T/T and T/M.

M246 results in progressive ataxia and alterations in gait.

One measure of ataxia in rodent models is measured by performance on a rotating rod, known as the rotarod test. In rats, we found robust decreases in rotarod performance in M246/M246 mice at ages as young as 12 weeks of age that persisted for the duration of the experiment (up to 64 weeks of age, Fig 7A and S1 Video). The loss in rotatrod performance was also accompanied by changes in gait (Fig 7B–7E), and much like the effect on motor performance, the effect on gait was exacerbated by age with notable differences occurring at 32 weeks of age. In mice, we found that young M246/M246 mice performed similarly to T246/T246 and T246/M246 mice during the initial training on the rotarod (Fig 7F), however, with age, rotarod performance in M246/M246 mice decreased starting around 30 weeks of age (Fig 7F), consistent with an age-dependent effect on motor function. Remarkably, similarly aged mice that completely lack CHIP expression (CHIP−/−) had a complete lack of learning of rotarod behavior (Fig 7G) [11], suggesting that the CHIP-T246M model may differ in disease progression compared to the CHIP null model. To explore this concept, we utilized a second metric of ataxia progression. This composite test is comprised of hind limb clasping, ledge test, gait, and kyphosis [32] and was used to measured ataxia onset and progression in both the CHIP-T246M and CHIP−/−mouse lines (Fig 7H). Remarkably, we found that CHIP−/− mice were already ataxic at weaning (score = 4.4, S2 Video), and the rate of ataxia progression was equivalent to wild-type mice (rate = 0.16 vs. 0.20 points/week in −/− vs. +/+ mice, respectively). In contrast, M246/M246 mice had a high rate of disease progression, 0.38 point/week (S3 Video), suggesting the T246M mouse may reflect a more suitable preclinical model for SCAR16 compared to the CHIP−/− mouse. Thus both the mouse and the rat model of CHIP-T246M demonstrate progressive ataxia that worsens with age and recapitulates the clinical phenotype observed in SCAR16 patients that suffer from an early adult-onset progressive ataxia [12].

Fig 7. CHIP-T246M in rodents resulted in progressive ataxia and altered gait.

Changes in (A) rotatrod performance, (B) support base, (C) stride, and (D) support ratio over time in rats with the indicated genotypes represented by line plot and summarized by the mean ± SEM (N = 6 animals/genotype), Tukey’s post hoc test: a, b, c, and ††† correspond to p < 0.05, 0.01, 0.001, and 0.0001 comparing M/M to T/T and T/M. (E) Graphical representation of gait parameters with foot locations indicated (RH = right hand, RF = right foot, LH = left hand, LF = left foot). (F) Rotarod analysis during the initial learning phase (left) or over time (right) represented by a line graph of the change in latency to fall over the first three trials, including a re-test (R) two days later, summarized by the mean ± SEM (N = 10–20 animals/genotype), Dunnett’s post hoc test: #, ## correspond to p < 0.05, 0.01 within T/T and T/M mice compared to trial 1; ††† p < 0.001 within all three genotypes compared to trial 1; 0.001 compared to previous time point; Tukey’s post hoc test: *, ** correspond to p < 0.05, 0.01 comparing M/M vs. T/T. (G) The initial rotarod performance in CHIP null mice (−/−) or wild-type mice (+/+) over the first three trials, including a re-test (R) two days later, summarized by the mean ± SEM (N = 10 animals/genotype), Tukey’s post hoc test: ‡ corresponds to p < 0.05 compare to trial 1; *, ** correspond to p < 0.05, 0.01 comparing genotypes. (H) Composite ataxia score of mice with the indicated genotypes including wild-type (+/+), heterozygous (+/−), and homozygous (−/−) knockouts of the CHIP allele represented by scatterplot and summarized by the mean ± SEM (N = 12 animals/genotype). Results of the linear regression analysis are depicted by the line and equation provided and results of the mixed model analysis provided. In comparing slopes, only M/M mice had a different slope at α = 0.05.

Behavioral repercussions of CHIP-T246M include loss of prepulse inhibition, hyperactivity, and cognitive dysfunction.

We utilized our rodent models to determine effects of the T246M mutation on the additional clinical hallmarks of SCAR16—decreased sensorimotor reflexes and cognitive dysfunction. Given the onset of ataxia phenotype in both the mouse and rat models were observed around 30 weeks of age (Fig 7A and 7F), we tested mice at ages both before and after this time point, 8–12 and 33 weeks, respectively. Using the acoustic startle and prepulse inhibition test, we found that M246 had no effect on the amplitude of the acoustic startle response in either young or adult mice (Fig 8A) suggesting a lack of an overt motoric defect. Similarly, all young mice had comparable levels of prepulse inhibition (Fig 8B); however, older M246/M246 mice exhibited robust decreases in prepulse inhibition, indicating the emergence of sensorimotor gating deficits by the 33 weeks of age (Fig 8B). These degenerative deficits in prepulse inhibition are consistent with other mouse models of cerebellar degeneration with profound Purkinje cell loss [33]. Interestingly, CHIP−/− mice had a profound defect in startle amplitude (Fig 8A) and reaction time (S1 Fig), consistent with the strong motoric defect we observed (Fig 7G); however, CHIP−/− mice, unlike M246/M246 mice, did not exhibit any prepulse inhibition (Fig 8B).

Fig 8. CHIP-T246M resulted in age-dependent deficits in sensorimotor skills, increased anxiety, and changes in sociability in mice.

(A) The amplitude of startle response (red and green are no stimulus and acoustic startle stimulus alone trials, respectively) and (B) the amount of prepulse inhibition over increasing levels of sound, decibels (dB) in mice of the indicated genotypes. (C) The distance traveled, (D) time spent in the center, and (E) the number of rearing movements in open field test over time. Tests (A-E) were performed on mice with the indicated genotypes at 11–13 w of age (young) and repeated at 33 w of age (adult) and are represented by line plot and summarized by the mean ± SEM (N = 10–20 animals/genotype), Tukey’s post hoc test: *, ** correspond to p < 0.05, 0.01 comparing M/M to T/T (or +/+ to −/−); †, ††, ††† correspond to p < 0.05, 0.01, 0.001 comparing M/M to T/T and T/M; ‡ corresponds to p < 0.001 compared to the initial stimulus within the genotype (learning), ns = p > 0.05. (F) Time spent and (G) number of entries in either the side with stranger 1 (S) compared to an empty cage (E). (H) Time spent and (I) number of entries in either the side with previous stranger 1 (1) or novel stranger 2 (2). Tests F-I were performed on mice with the indicated genotypes represented by dot plot and summarized by the mean ± 95% CI (N = 10–20 animals/genotype), Tukey’s post hoc test: ‡, ‡‡, ‡‡‡ correspond to p < 0.05, 0.01, 0.001 within genotype; * p < 0.05 M/M vs. T/T.

Mice were tested in the elevated plus maze (EPM) at eight weeks of age and there was no difference between genotypes in any of the parameters measured (Table 2). The effect of T246M on the activity in the EPM was similar to CHIP−/− mice, in which we did not observe increased levels of activity (Table 2); however, CHIP−/− mice spent more time in the open arms, consistent with an aberrant pattern of exploration (Table 2). The EPM is usually given as the first behavioral test to avoid the possible effects of extensive handling, therefore, we used the open field test to observe any age-dependent changes in activity and impulsivity. The M246/M246 mice traveled father (Fig 8C) and spent more time in the center of the field (Fig 8D) compared to control mice or when the mice were younger. Interestingly, a different pattern emerged for rearing movements, a measure of vertical activity, as the M246/M246 mice had reduced levels of rearing at the beginning of each session (Fig 8E), indicating a deficit in the initial exploration of the open field, however, in older mice, higher levels of rearing emerged in the mutant group in the last half of the session, consistent with a hyperactive phenotype (Fig 8E). In a similar open field test, CHIP−/− mice trended towards increased activity (Table 2) [11], although not to the same extent as M246/M246 mice.

Table 2. Elevated plus maze, marble burying, olfactory sensing, and open field testing in mice.

The performance measurements from the elevated plus maze test, the marble-burying assay, and buried food test for olfactory function are represented by the mean ± SEM from mice with the indicated genotypes, † p < 0.05 comparing M/M to T/T and T/M; ‡ p < 0.05 and ¶ p = 0.07 comparing −/− and +/+.

Additional testing in the 3-chamber choice test found that the M246/M246 genotype associated with altered social behavior (Fig 8F–8I), such that M246/M246 mice had increased preference for social novelty towards the newly-introduced stranger 2 (Fig 8H and 8I). Further behavioral testing revealed the M246/M246 mice had reduced marble burying, indicating a decrease in exploratory digging (Table 2); moreover, no effects of genotype were observed for olfactory ability in a buried food test (Table 2).

Our data suggest CHIP-T246M results in impulsive and risky exploration, as observed in mouse models for mania and impulsivity and overt hyperactivity [34,35]. Interestingly, both impulsivity and hyperactivity have been attributed to cognitive cerebellar dysfunction in humans [3638]; therefore, we evaluated cognitive function using the Morris water maze and the conditioned fear response test, in rats and mice, respectively. We observed impaired learning in both young and adult M246/M246 rats measured by a decrease in the escape latency from the water maze (Fig 9A). Moreover, young M246/M246 rats had a 42% decrease in platform zone occupancy that worsened in older animals (Fig 9B), consistent with a profound deficit in memory recall. Likewise, M246/M246 mice had impairments in the conditioned fear procedure, both in contextual and cue-dependent learning (Fig 9C and 9D). On the initial training day, all genotypes had similar, low levels of freezing before any exposure to the aversive foot shock. On the next day, or two weeks later, the lack of learning in M246/M246 mice was apparent, as they did not increase their freezing time to either a contextual (Fig 9C) or cue-dependent (Fig 9D) stimulus. This lack of response could not be attributed to hearing impairment, since the mutant mice had normal performance in the acoustic startle test (Fig 8A). Together these data suggest significant impairment in learning and memory as a result of CHIP-T246M and are consistent with the clinical phenotype of patients with T246M [11].

Fig 9. CHIP-T246M rodents developed cognitive deficits.

In rats, (A) the average latency to find the platform over four consecutive training days in the Morris Water maze task is represented by line plot and summarized by the mean ± SEM. (B) The amount of time spent in the target quadrant when the platform was removed after the last trial is represented by dot plot and summarized by the mean ± 95% CI. Tests A-B were administered on rats with the indicated genotypes at 16 w of age (young) and repeated at 36 w of age (adult), N = 6 animals/genotype, Tukey’s post hoc test: ** corresponds to p < 0.01 comparing M/M vs. T/T; †, ††, ††† correspond to p < 0.05, 0.01, 0.001 comparing M/M to T/T and T/M; ‡ corresponds to p < 0.05 within genotype. Conditioned fear testing was measured in mice by calculating the percentage of time freezing (no movement) during either (C) context or (D) cue-dependent learning during the training day (D1), and over 5 minute periods either a day after training (left) or two weeks later (right). Tests C-D are represented by line plot and summarized by the mean ± SEM (N = 10–20 animals/genotype), Tukey’s post hoc test: †, ††, ††† correspond to p < 0.05, 0.01, 0.001 comparing M/M to T/T and T/M; ‡ corresponds to p < 0.001 compared to the initial stimulus within the genotype (learning), ns = p > 0.05.

Overall, the results of the battery of behavioral assessments performed suggest that M246/M246 leads to the dysregulation of inhibitory processes governing activity, exploration, and sensorimotor gating, as well as impaired learning and memory in tests for conditioned fear and cognition. Interestingly, impaired conditioned fear and decreased marble-burying were reported in mice with deletion of maternal E3 ubiquitin ligase Ube3a, a model for Angelman syndrome [39], again highlighting the critical role of protein ubiquitination in cerebellar homeostasis.

Alterations in the T246M proteome identified both known and potentially novel substrates of CHIP-dependent regulation.

Given the role of CHIP as a chaperone, co-chaperone, and ubiquitin ligase it is likely that disruption in CHIP function alters the regulation of proteins critical to cerebellar function and protein homeostasis. To identify candidate proteins that may mediate the pathogenesis of SCAR16, we performed unbiased proteomics via mass spectroscopy to identify differentially expressed proteins in cerebellar lysates prepared from either T246/T246 or M246/M246 rats at 32 weeks of age. We identified 63 and 80 unique proteins that were either less or more abundant, respectively, in M246/M246 relative to T246/T246 cerebellums (Fig 10A, S2 Fig, S1 Table). As expected, we identified a 50% decrease in CHIP protein in M246/M246 brains as measured via MS (mean ratio = 0.5, p = 3.47E-08). We confirmed the differential levels of selected proteins that were either increased in M246/M246 cerebellums including PDE9A and TAU, or decreased in M246/M246 cerebellums, such as PHLPP1, SNCA, CHIP, and Pink1 (Fig 10A). We then used samples spanning multiple ages and found that the expression levels of these proteins changes with age (Fig 10B, S3 Fig). Moreover, both the direction and magnitude of change was similar in the whole brain and cerebellum, likely reflecting the important role of CHIP throughout the brain, not just in cerebellar homeostasis. Next, we analyzed the dataset using known and predicted protein-protein association data combined with functional enrichment analysis via the STRING database [40] to identify proteins or pathways that may play a role in the neuro-pathophysiology of SCAR16. Of the 143 initial proteins, 60 proteins were identified in a total of 21 protein-protein interaction clusters (S2 Table) including a family of six proteins that contained CHIP and other regulators of protein quality control, such as BAG3 and several F-box proteins (Fig 10C). Additionally, we identified a cluster of proteins known to be affected by CHIP expression including TAU (MAPT), alpha-synuclein (SNCA), and PINK1 [5,41,42]. Of note, a seven member cluster that was also functionally enriched for coagulation processes (wound healing) and extracellular matrix function was identified (Fig 10C), and in total, 16 proteins involved in coagulation were affected by CHIP-T246M. Coagulation was recently identified as a significant component of spinocerebellar ataxia disease signatures (without Friedreich ataxia) from a large-scale analysis of 80,000 samples [43] and our analysis of CHIP-T246M cerebellums support the notion that coagulation may represent new targets for therapeutic interventions.

Fig 10. Changes in the cerebellar proteome due to CHIP-T246M.

(A) Heatmap (left) of cerebellar proteins determined to be differentially expressed in M246/M246 relative to T246/T246 rats and immunoblot analysis (right) of selected proteins in either cerebellums or whole brain in rats with the indicated genotype, GAPDH was used as a loading control. (B) Densitometry analysis of selected proteins from either cerebellum (Cbl) or brain (Brn) from rats of the indicated genotypes at different ages, represented by line plot and summarized by the mean ± SEM (N = 2 animals per tissue per genotype per timepoint). 3-way ANOVA analysis identified interactions between age and genotype for all five proteins (p < 0.0001) and no interaction between age, genotype, and tissue type (p range 0.14–0.91). Tukey’s post hoc test: **, ***, **** correspond to p < 0.01, 0.001, 0.0001 comparing M/M to T/T and T/M in both tissues. (C) Protein interactions analysis identified both the interaction clusters and functional enrichment of the differentially expressed proteins identified due to CHIP-T246M. The interaction clusters are connected with solid lines and additionally indicated by colored protein labels. Functional enrichment analysis is labeled by the colored spheres.


CHIP plays a vital role in cerebellar homeostasis, however, how do the various mutations that cause SCAR16 drive the disease pathogenesis? The simplest explanation is that the CHIP mutations that destabilize the protein lead to an effective CHIP null condition. However, a varying degree of CHIP protein levels is found in fibroblasts isolated from patients with CHIP mutations. For example, the N65 mutation results in an 80% loss of CHIP protein [21], whereas other mutations, such as T246M (Fig 4D) and the compound mutation M211I/E238* have more modest effects, approximately at the level of haploinsufficiency [16]. Moreover, the R119*/I294F and K145Q/P243K compound mutations do not appear to affect CHIP turnover [20]. Given the recessive nature of this disease in patients [12], and the lack of phenotype observed in our three rodent models of CHIP haploinsufficiency (Figs 6, 7, 8 and 9), these data suggest that either the loss or change in specific activities of CHIP drive the pathophysiologies as well as the clinical heterogeneity associated with SCAR16.

We identified that the T246M disrupts the U-box structure (Fig 1A, 1B and 1C), and the effect of the T246M conformational change on CHIP function appears to be three-fold. First, the destabilization of the U-box results in no appreciable ligase activity as demonstrated previously by our group [11] and others [23,24]. Secondly, CHIP-T246M is degraded in a proteasome-dependent manner at a higher rate than CHIP-WT, both when expressed exogenously (Fig 3G) and under native genomic conditions (Fig 4F and 4G), resulting in decreased steady-state levels that we observed both in both T246M patients (Fig 4D) and in our rodent models (Figs 4E, 5A, 5B, 5C, 5D, 5F, 5G and 5H). Lastly, and more surprisingly, the T246M mutation promotes the formation of soluble oligomeric forms of CHIP, comprised of 10–12 mers in vitro (Fig 1D and 1E) that retain chaperone activity (Fig 2). CHIP functions as a dimer [27,44], however under heat stress, CHIP forms higher-order oligomers that appear to have increased chaperone activity [8]. Therefore, we tested the effect of T246M on the chaperone-mediated activation of HSF1 and found that T246M stimulates nuclear localization of HSF1 (Fig 2A) and increased HSF1 activity (Fig 2B). We initially considered that CHIP-T246M was activating HSF1 simply because the cells were responding to a misfolded protein insult, and not a specific effect of CHIP-T246M on HSF1. To account for this, we engineered a CHIP-T246M protein that also contained the K30A mutation that abolishes the interaction between CHIP and its chaperone binding partners. Unlike T246M, the K30a-T246M double mutant had little effect on HSF1 activity (Fig 3B) despite similar levels of insoluble CHIP protein (Fig 3F). Importantly, our data suggest that these higher-ordered oligomers of CHIP-T246M occur in vivo and are not artifacts of over-expression (Fig 4E). Therefore, while the T246M may abolish ligase activity, it appears that one consequence of these mutations may be altering chaperone function by failing to process substrates usually triaged by the CHIP-HSC(P)70 complex in a manner distinct from the CHIP null condition. We previously observed increased pulldown of HSP70 and HSC70 with CHIP-T246M [11], and even in our rodent model with reduced steady-state levels of CHIP-T246M, this interaction is maintained (Fig 4H). In fact, comparable amounts of HSC70 as well as the chaperone substrate of CHIP, AMPK, immunoprecipitate with CHIP or CHIP-T246M (Fig 4H and 4I) suggesting that even though the expression of CHIP-T246M is reduced, it is still engaging with known client proteins at similar levels and maintains activity towards these substrates (Fig 2). In cell culture models, the synthetic CHIP mutation, H260Q, acted in similar to T246M regarding HSF1 activation (Fig 2B), confirming a previous report that also identified that a U-box mutation led to changes in BAG3 protein levels and suppression of the macro autophagy pathway [29]. Likewise, it was proposed that enhancing either macro or chaperone-mediated autophagy may be beneficial in CHIPopathies [16]. Interestingly, our proteomics analysis of the T246M rodent cerebellum revealed a decrease in Bag3 protein levels (S2 Fig, S1 Table), so one distinct possibility for the pathology associated with SCAR16 may be a disruption in either the macro autophagy or chaperone-mediated autophagy pathways, rendering cells susceptible to proteinopathies. Alteration of these autophagy pathways is implicated in other ataxias, such as spinocerebellar ataxia type 1, 3 7, and 14, [4548]. It is important to point out that our proteomics approach does not account for changes in cell-type distributions during neurodegeneration. Future work will include histological analysis of these candidate proteins in the brain and cerebellum to determine the cell populations that are driving these changes.

Central to disease-based research is the establishment of preclinical models that can be used as a platform to both better understand the mechanism of disease and to test therapies. Therefore, we created both a mouse and rat model that genocopies the human T246M. We found that these models recapitulate the key features of SCAR16, notably: decreased steady-state protein expression due to proteasome-dependent turnover (Figs 4E, 4F, 4G, 5A, 5B, 5F and 5G); brain atrophy (Fig 6D); increased mortality (Fig 6A); loss of motor function (Fig 7A and 7F); age-dependent impairment of sensorimotor function (Fig 8B); overt hyperactivity (Fig 8C, 8D and 8E); and impaired cognitive function (Fig 9A, 9B, 9C and 9D). Given these phenotypes were exacerbated with age, these models provide us with the ability to interrogate the pathophysiology at difference time points in disease progression. These data further support our previous findings that CHIP plays a critical role in cerebellar maintenance [11]. Interestingly, some of the behavioral deficits in M246/M246 rodents overlap with those observed in CHIP−/− mice [11], whereas others were unique to T246M mutation, further supporting our hypothesis that disease-causing mutations in CHIP and the total loss of CHIP are not functionally equivalent. For example, M246/M246 mice exhibited overt hyperactivity (Fig 8C), risky behavior (Fig 8D), and deficits in sensory motor gaiting (Fig 8B), phenotypes not observed in CHIP−/− mice (Table 2, Fig 8B) [11]. Conversely, CHIP−/− mice have profound motoric defects (Fig 7G) that is apparent even at weaning (Fig 7H). Moreover, M246/M246 rodents suffer from progressive phenotypes (Figs 7H, 8B, 8C, 8D, 8E and 9A) whereas CHIP−/− mice start with a high ataxic burden that progresses similar to healthy mice (Fig 7H). This could be due to developmental differences in the null versus hypomorph conditions, however, we hypothesize that the phenotypic differences observed between CHIP−/− mice and T246M mice are likely reflective of our cell-based and in vitro findings that while T246M CHIP no longer functions as an E3 ubiquitin ligase, other CHIP functions remain intact despite this mutation.

Perhaps even more intriguingly, the T246M mutation may modify the co-chaperone activity of CHIP in a deleterious manner. For example, mutant CHIP may be unable to either ubiquitinate chaperone-engaged proteins or promote the refolding of proteins that are usually degraded by the proteasome. Similarly, mutant CHIP may promote the activation of compensatory pathways involved in proteins degradation or clearing protein aggregates such as autophagy [29,49] that could sensitize the cells to additional proteotoxic stress. Moreover, the formation of soluble CHIP oligomers that alter the chaperone or co-chaperone functions of CHIP may also contribute to the pathophysiology. Remarkably, the oligomerization of CHIP-WT with heat is thought to increase its intrinsic chaperone activity by enhancing the binding activity of CHIP to substrates [8], thereby providing an additional mechanism through which coding mutations could affect CHIP activity. Alternatively, CHIP could function as a sink for other components of the ubiquitin proteasome system, such as E2 enzymes, ultimately altering the fate of proteins that are usually modified either by CHIP or other E3 enzymes that share the same E2 enzymes. In total, our data support our previous findings that highlight the role of aberrant ubiquitination in the pathogenesis of SCAR16; however, the loss of CHIP ubiquitin ligase activity alone may not fully explain the molecular mechanisms underlying the diverse pathophysiology observed in the heterogeneity of SCAR16 disease.

CHIP mutations associated with SCAR16 occur in all three of CHIP’s functional domains, although interestingly the majority are concentrated in the charged domain and the U-box domain. Biochemical studies using in vitro approaches demonstrated wide variance regarding how individual properties of CHIP change given the location of the mutation [23,24]; clearly, more cell-based and in vivo approaches are needed to fully understand how these mutations drive a disease that has a spectrum of clinical phenotypes. Given the diversity of mutations and the clinical heterogeneity of the ARCA patients harboring STUB1 mutations, we originally hypothesized that the affected protein domain might directly correlate to clinical phenotype. For example, cognitive impairment occurred in all SCAR16 patients described in the literature that harbor mutations in the U-box domain [11,15,1720,22], such that residual CHIP activity involving a defective or truncated U-box domain but intact TPR domain could directly correlate to specific clinical symptoms in some patients. Our extensive behavioral analysis of two T246M mammalian models provides direct evidence to support this hypothesis, demonstrating that particular cognitive deficits are in fact associated in vivo with a U-box domain point mutation that has been demonstrated in vitro and in cells to have a partially functionally intact TPR domain. The development of additional animal models with specific domain mutations may help to further validate this hypothesis and identify how the multifunctional roles of CHIP contribute to particular clinical pathologies. It seems clear, however, that while defective ubiquitination contributes to SCAR16 pathology, CHIP mutation as a driver of disease is not limited to loss of ubiquitin ligase activity but may represent a more multi-faceted disruption of CHIP-mediated PQC.

In light of the identification of T246M CHIP mutation and subsequent designation of SCAR16, the establishment of preclinical models of SCAR16 represents novel and important tools to evaluate CHIP dysfunction in vivo in a disease-relevant context. Our biophysical, cellular and in vivo characterization of T246M mutation provides significant insight into both the molecular mechanisms driving disease pathology in SCAR16 as well as basic CHIP biology, by shedding new light on the structure-function relationship, particularly regarding the multifaceted activities of CHIP within the cell. Furthermore, we are hopeful these studies provide valuable insight required for the future development of effective therapies for this devastating degenerative disease.

Materials and methods

Biochemical and cellular studies

Expression plasmids and recombinant proteins.

Mammalian expression plasmids pcDNA3-myc-CHIP, pcDNA3-myc-CHIP-K30A, pcDNA3-myc-CHIP-H260Q, HA-Ubiquitin, FLAG-SIRT6, FLAG-HSP70, β-galactosidase, and GFP were used as described previously [3,8,29,50,51]. CHIP, CHIP-H260Q, CHIP-K30A, CHIP-T246M and AMPK recombinant proteins were produced in Escherichia coli BL21(DE3) as His-tagged fusion proteins by induction with 0.1mM isopropyl-1-thio-β-D-galactopyranoside overnight at 18°C followed by purification with HisTrap HP columns (GE Healthcare), concentrated, and stored in in 20 mM HEPES pH 7.4 with 150 mM NaCl.


A point mutation of threonine to methionine at position 246 of CHIP was created for generation of single T246M point mutant and K30A-T246M double point mutant by site-directed mutagenesis using the Q5 Site-Directed Mutagenesis Kit (New England Biolabs, E0554S) according to manufacturer’s instructions using previously described pcDNA3-myc-CHIP template or pcDNA3-myc-K30A CHIP template [3] and mutagenic primers 5’-CCGTGCATCATGCCCAGTGGC-3’ and 5’-CTCCCGCATCAGCTCAAAGC-3’ (BaseChanger software, New England Biolabs). The myc-CHIP-T246M and myc-CHIP-K30A-T246M expression plasmids were produced by transformation in Escherichia coli DH5α, purified, and the single-base pair substitution was verified by DNA sequencing.

Light scattering.

The solution molecular weights of WT CHIP, K30A, H260Q and T246M point mutant CHIP were determined by size exclusion chromatography followed by multi-angle light scattering (SEC-MALS) of the eluant from a size exclusion chromatography column. The SEC-MALS system consisted of a GE Superdex 200 column connected to Wyatt DAWN HELEOS-II multi-angle light scattering instrument and a Wyatt T-Rex refractometer (Wyatt Technology, Santa Barbara, CA, USA). 100 μl of 0.5 mg/ml of each sample was loaded onto the column, and the light scattering and refractive index data were collected as the eluted samples passed through light scattering system. The molar masses of the samples eluting in various peaks were calculated from these data using ASTRA 6 software (Wyatt Technology).

Nuclear magnetic resonance spectroscopy.

Human WT and T246M U-box (amino acid residues 212–303) recombinant proteins were expressed and purified as previously described for WT CHIP U-box [52]. NMR spectra were recorded using a Bruker Avance 600 MHz (1H) spectrometer at 20 °C in buffer containing 20 mM HEPES (pH 7.5), 50 mM NaCl, and 1 mM DTT as previously described [52]. NMR data were processed with NMRPipe [53] and analyzed with SPARKY (T. D. Goddard and D. G. Kneller, SPARKY 3, University of California, San Francisco).

Circular dichroism spectroscopy.

CD spectra of WT and T246M U-box CHIP were collected as previously described [54] at 0.25 mg/mL and 15 °C in 10 mM sodium phosphate (pH 7.0) with 20 mM NaCl and 1 mM DTT. The Tm for WT and T246M U-box CHIP was determined by monitoring the temperature dependence of CD at 222 nm.

Luciferase refolding: The HSP70/HSP40 Glow-Fold Protein Refolding Kit (Boston Biochem) was used per the manufactures instructions. The luciferase was heat denatured for 15 min at 42 °C. CHIP proteins or IgG were added to the reactions at a final concentration of 0.28 mg/ml in the absence or presence of HSP40/70 and incubated for 60 min at 30 °C. Activity was measured by luminescence and data normalized to heat denatured luciferase in the absence of any additional proteins.

AMPK in vitro activity assay.

Recombinant proteins CHIP, CHIP point mutants, and AMPKα2β1Ɣ1 in 20 mM HEPES pH 7.4 with 150 mM NaCl prepared as previously described [9] were diluted to final concentrations of 730nM (pAMPKα2) or 7 point 5X serial dilution curve starting from 2.8 μM in 1X kinase buffer A (50 mM HEPES pH7.5, 1 mM EGTA,0.01%Brij-35 and 10mM MgCl2) and pre-incubated together at 30°C for 30 min with gentle shaking. Z’-LYTE Kinase Assay Kit-Ser/Thr 23 Peptide (Invitrogen) was utilized as per manufacturer’s instructions to determine pAMPKα2 enzymatic activity in the presence of CHIP with each condition measured in triplicate in 3 independent assays.

Cell culture and transfection.

CHIP+/+, CHIP−/− and T246M CHIP mouse embryonic fibroblasts (MEFs) were cultured as previously described [28]. COS-7 and shCTRL and shCHIP HEK293 cells were maintained in Dulbecco’s modified Eagle’s medium (Invitrogen) supplemented with 10% fetal bovine serum (Sigma) at 37 °C in an atmosphere of 5% CO2. Cell transfections were performed using X-tremeGENE 9 (Roche) with the indicated plasmid DNA at a 1:3 DNA to X-tremeGENE 9 ratio.

mRNA analysis.

CHIP mRNA levels in primary MEFs or tissue were determined using the SingleShot SYBR Green Kit (Biorad, 1725085) and Roche LightCycler 480 with PrimePCR SYBR green primer assays (Biorad) targeting the indicated transcripts: Actb (qMmuCED0027505), Gapdh (qMmuCED0027497), Hprt (qMmuCED0045738), Stub1 (qMmuCED0001075), Tbp (qMmuCID0040542). Relative expression values were calculated using the ΔCT method correcting for PCR efficiency and mean centered across the three genotypes. Expression was normalized to the geometric mean of Actb and Hprt, the two most stable reference mRNAs across genotypes as determined via Normfinder (also tested: Gapdh and Tbp) [55].

Protein and mRNA isolation/analysis from mouse tissue.

Intact tissues were isolated from anesthetized 4 month-old male littermates. Tissue was stored frozen in RNAlater solution (Ambion) until protein and mRNA were isolated using the Ambion PARIS Kit (Ambion, AM1921) as per manufacturer’s instructions. Tissue disruption prior to protein/RNA isolation was performed with Ambion PARIS Kit Cell Disruption Buffer and Qiagen TissueLyser LT with 5 mm steel beads. Any contaminating DNA was removed from RNA prepared by PARIS Kit by treatment with TURBO DNA-free Kit (Ambion) and mRNA was reverse transcribed using the iScript cDNA synthesis kit (Bio-Rad). Real-time PCR was performed using Roche LightCycler 480 and Sso Advanced Universal SYBR Green Supermix (Biorad) with PrimePCR SYBR green primer assays targeting the indicated mRNAs (Biorad) and methodology listed above. Expression was normalized to the geometric mean of Actb and Gapdh, the two most stable reference mRNAs across genotypes (also tested: Hprt and Tbp).

Cell lysate collection/nuclear fractionation/isolation of total, soluble and insoluble fractions.

For all assays, unless otherwise noted, cell lysates were prepared by first washing cells in cold PBS and lysed in Cell Lytic M (Sigma) containing 1X HALT protease/phosphatase inhibitor (Pierce) and 50 μM PR619 (Lifesensors). Lysates were clarified by centrifugation at 15,000 × g for 10 min at 4 °C. Total protein concentration was determined by BCA protein assay (Pierce). Alternatively, cells were lysed on ice for 15 min in Triton X-100 cell lysis buffer (50 mM Tris, pH 7.4, 150 mM NaCl, 1% Triton X-100, 1mM EDTA, protease inhibitor (Complete; Roche), 50 μM PR-619 (LifeSensors). Triton X-100 insoluble material was collected by solubilization of the insoluble pellet following 15,000 × g centrifugation by resuspension in 2X Laemmeli Sample buffer (Biorad), brief sonication and heating for 5 min at 100 °C. Nuclear fractions were prepared using the NE-PER kit (Pierce), as per manufacturer’s instructions. Total, soluble and insoluble fractions as shown in were prepared by first trypsinizing and counting P2 primary MEFs grown on 15-cm tissue-culture treated dishes to near 100% confluency. Cells were then divided equally between two tubes, spun at 500 × g, pellet rinsed in PBS and spun again at 500 × g. Cells for total protein fraction (tube 1) were then lysed in 2X Laemmeli SDS sample buffer (65mM Tris-HCl, 10% Glycerol, 2% SDS), sonicated briefly on ice and boiled at 100 °C for 5 min. The cell pellet in tube 2 was then lysed for collection of soluble and insoluble fractions. This pellet was lysed in Triton X-100 cell lysis buffer as described above and soluble protein collected following centrifugation at 15,000 × g for 10 min at 4 °C. The insoluble pellet was then rinsed once in lysis buffer and spun again at 15,000 × g for 10 min at 4 °C. The pellet was then solubilized in 2X Laemmeli SDS sample buffer (65mM Tris-HCl, 10% Glycerol, 2% SDS), sonicated briefly on ice and boiled at 100 °C for 5 min. Total protein concentrations in each fraction were then determined by 660nm Protein Assay (Thermo Scientific) and samples of equal total protein prepared for SDS-PAGE by addition of final concentrations of 0.025% bromophenol blue and 100mM DTT.

Polyacrylamide gel electrophoresis, Blue native polyacrylamide gel electrophoresis, gel immunoblotting, and densitometry.

For reduced and denatured conditions, protein samples were resolved on NuPAGE Novex Bis-Tris Gels (Life Technologies) using the MOPS/LDS buffer system or Mini-PROTEAN TGX Precast Gels (Bio-Rad) using the Tris/Glycine/SDS buffer. Native protein samples were resolved on 4–16% NativePAGE Novex Gels (Life Technologies) using 0.001% G-250 cathode buffer. Proteins were transferred to PVDF membranes and incubated with primary antibodies overnight (see following table for antibody information) and detected with either anti-rabbit or anti-mouse (GE Healthcare), or anti-goat (Sigma) HRP-conjugated antibodies and visualized with ECL Advance substrate (GE Healthcare) using the EC3 Imaging System (UVP). For quantification of relative protein levels, densitometry analysis was performed using LI-COR Image Studio Lite. For blue native PAGE analysis of mouse tissues, 50 mg wet weight of tissue was homogenized for 7 min at 50 Hz using the TissueLyzer II (Qiagen) in Native PAGE sample buffer (Invitrogen) with Halt protease and phosphatase inhibitors (Thermo) and 1% digitonin. Lysates were cleared at 20,000 × g for 30 min at 4 °C. G-250 Sample Additive (Invitrogen) was added to the samples and blue native PAGE was run using the dark blue and light blue cathode buffer protocol per the manufactures instructions (Invitrogen). Proteins were transferred and blotted as described above.

Immunoprecipitation/co-immunoprecipitation of AMPKα1/CHIP, Hsc70/CHIP from primary MEFs.

Primary MEFs were cultured as described above and plated in 2 × 15 cm tissue culture dishes and incubated overnight under normal growth conditions. 24 h after plating, cells were treated with 20 μM MG132 or DMSO for 2.5 h prior to harvest. Cells were washed 1X in cold PBS and lysed in Cell Lytic M (Sigma) containing 1X HALT protease/phosphatase inhibitor (Pierce) and 50 μM PR619 (LifeSensors). Lysates were clarified by centrifugation at 15,000 × g for 10 m. Total protein concentration was determined by BCA protein assay (Pierce) and 1.5 mg total protein clarified lysates were incubated overnight at 4 °C with 10 μg of anti-AMPKα1 (R and D Systems, AF3197), anti-CHIP (Abcam, ab4447), rabbit IgG or goat IgG antibodies. 120 μl Protein-G Dynabeads (Invitrogen) was then added to each sample and incubated for 0.5 h at room temperature with rotation. Beads were washed four times with Phosphate-Buffered Saline with 0.05% Tween-20; subsequently, proteins were eluted in SDS-sample buffer and analyzed by SDS-PAGE and western blotting using anti-CHIP (Sigma, S1073), anti-AMPKα1/2 (Cell Signaling Technologies, 2532) or anti-Hsc70 (Enzo, ADI-SPA 815) antibodies.

CHIP immunofluorescence.

Micrographs were obtained as previously described [56] with the following modifications. Cells were fixed in 4% paraformaldehyde for 10 min, then incubated in permeabilization buffer (PBS, 0.5% Triton X-100, 1% BSA) for 10 min. Primary and secondary antibodies were prepared at dilutions of 1:500 (CHIP-Sigma HPA043531) or (anti-c-myc, Sigma M4439) and 1:800 (Alexa-Fluor Goat anti-rabbit or Goat anti-mouse), respectively, in blocking buffer (PBS, 0.05% Triton X-100, 1% BSA). Coverslips were mounted using Vectashield Hardset with Dapi (Vector Laboratories). Cells were visualized using a Zeiss LSM 710 spectral confocal. Co-localization analysis was performed using the Coloc2 plugin (v 3.0.0) with Fiji [57,58].

HSF1 luciferase reporter assay.

COS-7 cells were cultured, plated at 5000 cells/well in clear-bottom white 96-well plates (Thermo Scientific, 165306) and transiently transfected as described above with the indicated transgene vectors and the Qiagen Cignal Heat Shock Response Reporter (luc) Kit (CCS4023L) as per manufacturer’s instructions. 24 h post-transfection cells, were lysed and luciferase assays were performed using a Dual-Luciferase Reporter Assay System (Promega, Madison, WI) on a BMG Labtech CLARIOstar dual-injection plate reader following the manufacturer’s protocol. Transfection of each construct was performed in triplicate in each assay and a total of three assays were performed on three separate days. Empty vector was transfected in each plate in triplicate to be used for normalization purposes. Ratios of Renilla luciferase readings to Firefly luciferase readings were taken for each experiment and triplicates were averaged. The average values of the tested constructs were normalized to the activity of the empty construct.

Cycloheximide chase.

COS-7 cells were co-transfected with the indicated vectors and 24 h post-transfection treated with 50 μg/ml cycloheximide for 0, 1 or 2.5 h in the presence or absence of 20 μM proteasome inhibitor MG132 and lysates collected and separated by SDS-PAGE and immunoblotted with antibodies against His-CHIP and β-tubulin as described above. Primary MEFs were plated and incubated for 24 h under normal growth conditions. Cells were then treated with for 0, 2, 4 or 6 h with 50 μg/ml cycloheximide and lysates collected and separated by SDS-PAGE and immunoblotted with antibodies against CHIP (ab4447) and β-tubulin as described above.

Heat shock and recovery.

Two models of heat stress and recovery were utilized. For measures of heat stress/CHIP-induced nuclear translocation of HSF1 in COS-7 cells, cells were heat shocked in a water bath for 30 min at 42 °C prior to lysate collection and nuclear fractionation as previously described [28]. For Hsp70 induction and recovery assays in primary MEFs, cells were heat shocked in a water bath for 10 min at 42°C prior to recovery at 37°C under normal growth conditions for the indicated times.

Generation of the equivalent CHIP-T246M at the endogenous rodent locus

The generation of the CHIP-T246M and CHIP−/− mice were previously described [28,30]. CRISPR/Cas9 genetic editing was used to generate the same mutation in Rattus norvegicus (S4A Fig).

Cas9-sgRNA targeting plasmid construction.

The precut pCS(puro) plasmid was used to express human codon-optimized Cas9 and sgRNA (S4B Fig). The sgRNA were comprised of twenty nucleotides followed by the PAM sequence: Top oligo 5’-3’:CACCGGAACCCTGCATTACACCCAG; Bottom oligo 5’-3’ AAACCTGGGTGTAATGCAGGGTTCC. The precut pCS(puro) plasmid was ligated with the annealed oligos DNA to generate the Cas9-sgRNA targeting plasmids for STUB1 (S4B Fig).

Donor vector construction.

To minimize random integrations, we used a circular donor vector for homologous recombination repair. The targeting construct consisted of rat genomic fragment containing exons 1–6 of Stub1 (S4C Fig). The construct carried one nucleotide substitution in the initiation codon (ATG>ACA), and two homology arms of ~2 kb each were used as templates to repair the double-strand breaks generated by Cas9. The donor vector was prepared using an endotoxin-free plasmid DNA kit.


Sprague Dawley (SD) female rats were used as embryo donors as well as for pseudo-pregnant foster mothers. Super-ovulated SD rats (3–4 weeks of age) were mated to SD males, and fertilized embryos were collected from the ampullae. Cas9-sgRNA targeting plasmids and donor vector were mixed at different concentrations and co-injected into the cytoplasm of fertilized eggs at the one-cell stage. After injection, surviving zygotes were transferred into the oviducts of SD pseudo-pregnant females.


Before weaning, all rats were genotyped by polymerase chain reaction (PCR) using tail DNA using a Stub1 forward primer: 5’-CTCATGGGCAGGCTCTGGTATGG-3’; and a Stub1 reverse primer 5’-GAGCAGTTCAGAACCCATCATCAGG-3’. PCR products were sequenced using sanger sequencing (S4D Fig). All rats were genotyped confirmed for a second time, post-mortem.

Behavioral studies

Data analysis: For all procedures, measures were taken by an observer blind to animal genotype. Behavioral data were analyzed using two-way repeated measures Analysis of Variance (ANOVA). If F values were < 0.05 on any individual factor or interaction of factors, Tukey’s multiple comparison test was used to compare means.

Elevated plus maze for anxiety–like behavior.

This procedure is based on a natural tendency of mice to actively explore a new environment, versus their fear of being in an open area. Mice were given one 5 min trial on the plus maze, which had two walled arms (the closed arms, 20 cm in height) and two open arms. The maze was elevated 50 cm from the floor, and the arms were 30 cm long. Animals were placed on the center section (8 cm × 8 cm), and allowed to freely explore the maze. Measures were taken of time on, and the number of entries into, the open and closed arms.

Marble-burying assay.

Mice were tested in a Plexiglas cage located in a sound-attenuating chamber with ceiling light and fan. The cage contained 5 cm of corncob bedding, with 20 black glass marbles (14 mm diameter) arranged in an equidistant 5 × 4 grid on top of the bedding. Subjects were given access to the marbles for 30 min. Measures were taken of the number of buried marbles (two-thirds of the marble covered by the bedding).

Buried food test for olfactory function.

Several days before the olfactory test, an unfamiliar food (Froot Loops, Kellogg Co., Battle Creek, MI) was placed overnight in the home cages of the mice. Observations of consumption were taken to ensure that the novel food was palatable. Sixteen to twenty hours before the test, all food was removed from the home cage. On the day of the test, each mouse was placed in a large, clean tub cage (46 cm L × 23.5 cm W × 20 cm H), containing paper chip bedding (3 cm deep), and allowed to explore for 5 min. The animal was removed from the cage, and one Froot Loop was buried in the cage bedding. The animal was then returned to the cage and given 15 min to locate the buried food. Measures were taken of latency to find the food reward.

Open field test.

Exploratory activity in a novel environment was assessed by a one-hour trial in an open field chamber (41 cm × 41 cm × 30 cm) crossed by a grid of photobeams (VersaMax system, AccuScan Instruments). Counts were taken of the number of photobeams broken during the trial in 5-min intervals, with separate measures for ambulation (total distance traveled) and rearing movements. Time spent in the center region of the open field was measured as an index of anxiety-like behavior. Mice were tested at two ages: 8–9 weeks- and 32 weeks of age.


Mice and rats were tested for motor coordination and learning on an accelerating rotarod (Ugo Basile, Stoelting Co., Wood Dale, IL or Rot-Rod, Softmaze, respectively). For mice, the first test session animals consisted of three trials, with 45 s between each trial. Two additional trials were given 48 hours later. Rpm (revolutions per min) was set at an initial value of three, with a progressive increase to a maximum of 30 rpm across 5 min (the maximum trial length). Measures were taken for latency to fall from the top of the rotating barrel. Additional tests (two trials per test) were conducted at the indicated ages. For rats, each rat was placed on the Rotarod at a constant speed (5 rpm) for a maximum of 5 min, and at an accelerated speed (4 to 40 rpm in 5 min) for a maximum of 5 min. The latency to fall was recorded. Rats perform four trials for each time point, with 15 min rest between trials. For summary analysis, the mean latency to fall of each trial was used.

Sociability in a 3-chamber choice test.

Mice were evaluated for differences in social preference. The test session consisted of three 10-min phases: a habituation period, a test for sociability, and a test for social novelty preference. For the sociability assay, mice were given a choice between being in the proximity of an unfamiliar conspecific (“stranger 1”), versus being alone. In the social novelty phase, mice were given a choice between the already-investigated stranger 1, versus a new, unfamiliar mouse (“stranger 2”). The social testing apparatus was a rectangular, 3-chambered box fabricated from clear Plexiglas. Dividing walls had doorways allowing access into each chamber. An automated image tracking system (Noldus Ethovision) provided measures of entries and duration in each side of the social test box, as well as time in spent within 5 cm of the Plexiglas cages (the cage proximity zone).

At the start of the test, the mouse was placed in the middle chamber and allowed to explore for 10 min, with the doorways into the two side chambers open. After the habituation period, the mouse was enclosed in the center compartment of the social test box, and an unfamiliar, sex-matched C57BL/6J mouse (stranger 1) was placed in one of the side chambers. The stranger mouse was enclosed in a small Plexiglas cage drilled with holes, which allowed nose contact, but prevented fighting. An identical empty Plexiglas cage was placed in the opposite side of the chamber. Following placement of the stranger and the empty cage, the doors were re-opened, and the subject was allowed to explore the entire social test box for 10 min. Measures were taken of the amount of time spent in each chamber and the number of entries into each chamber by the automated tracking system. At the end of the sociability phase, stranger 2 was placed in the empty Plexiglas container, and the test mouse was given an additional 10 min to explore the social test box.

Acoustic startle and prepulse inhibition.

This procedure was used to assess auditory function, reactivity to environmental stimuli, and sensorimotor gating. The test was based on the reflexive whole-body flinch, or startle response, which follows exposure to a sudden noise. Measures were taken of startle magnitude and prepulse inhibition, which occurs when a weak prestimulus leads to a reduced startle in response to a subsequent louder noise. Mice were tested at two ages: 11–13 weeks and 33 weeks. For each test, mice were placed into individual small Plexiglas cylinders within larger, sound-attenuating chambers. Each cylinder was seated upon a piezoelectric transducer, which allowed vibrations to be quantified and displayed on a computer. The chambers included a ceiling light, fan, and a loudspeaker for the acoustic stimuli. Background sound levels (70 dB) and calibration of the acoustic stimuli were confirmed with a digital sound level meter (San Diego Instruments). Each session consisted of 42 trials that began with a 5-min habituation period. There were seven different types of trials: the no-stimulus trials, trials with the acoustic startle stimulus (40 msec; 120 dB) alone, and trials in which a prepulse stimulus (20 msec; either 74, 78, 82, 86, or 90 dB) occurred 100 ms before the onset of the startle stimulus. Measures were taken of the startle amplitude for each trial across a 65-msec sampling window, and an overall analysis was performed for each subject’s data for levels of prepulse inhibition at each prepulse sound level (calculated as 100—[(response amplitude for prepulse stimulus and startle stimulus together / response amplitude for startle stimulus alone) × 100].

Fear conditioning.

Mice were evaluated for learning and memory in a conditioned fear test, using the Near-Infrared image tracking system (MED Associates, Burlington, VT). The procedure had the following phases: training on Day 1, a test for context-dependent learning on Day 2, and a test for cue-dependent learning on Day 3. Follow-up tests for retention of learning were conducted 2 weeks later.


On Day 1, each mouse was placed in the test chamber, contained in a sound-attenuating box, and allowed to explore for 2 min. The mice were then exposed to a 30 s tone (80 dB), followed by a 2 s scrambled foot shock (0.4 mA). Mice received two additional shock-tone pairings, with 80 s between each pairing.

Context- and cue-dependent learning.

On Day 2, mice were placed back into the original conditioning chamber for a test of contextual learning. Levels of freezing (immobility) were determined across a 5 min session. On Day 3, mice were evaluated for associative learning to the auditory cue in another 5 min session. The conditioning chambers were modified using a Plexiglas insert to change the wall and floor surface, and a novel odor (dilute vanilla flavoring) was added to the sound-attenuating box. Mice were placed in the modified chamber and allowed to explore. After 2 min, the acoustic stimulus (an 80 dB tone) was presented for a 3 min period. Levels of freezing before and during the stimulus were obtained by the image tracking system. Two weeks following each test, mice were given second tests to evaluate retention of context- and cue-dependent learning.

Gait analysis.

The CatWalk XT (Noldus information Technology, Wageningen, Netherlands) was used to analyze gait of unforced moving rats. CatWalk XT consists a hardware system of a long glass walkway plate, illuminated with green light that is reflected within the glass at points be touched, a high-speed video camera, and a software package for quantitative assessment of animal footprints. The parameters we observed included stride length: the distance between successive placements of the same paw; base of support: the average width between either the front paws or the hind paw; step cycle: the time in seconds between two consecutive initial contact of the same paw. All rats were trained to cross the runway in consistently at least six times a day for a week before any experimentation. A successful run was defined as an animal finishing the run down the tracks without any interruption or hesitation. Rats that failed the CatWalk training were excluded from the study. An average number of five replicate crossings by each rat was recorded. Rats were subjected to computer-assisted CatWalk monthly after 8 weeks of age.

Morris water maze.

The Morris water maze task was used to assess learning and memory. The task was conducted in a round tank, 160 cm in diameter and 54 cm deep, filled with water. The wall was colored with non-toxic black paint to ensure opaqueness. Throughout testing, the water temperature was monitored and maintained at 21 °C. The tank was divided into four equally sized quadrants, and a circular acrylic escape platform was placed in one of the quadrants. The escape platform was submerged in water by 2 cm so that it was not visible to the animals. A camera mounted above the tank recorded the movement of the animals in each trial. The Sunny Instruments Morris water maze Tracking Software was used to record the latency to reach the escape platform and the time spent in the target quadrant. The water maze task consisted of four training days with four trials on each day. In each trial, the animals were placed in the water facing the tank wall and had to locate the escape platform. The initial position of the animal was the vertices of one of the four quadrants and was different for each trial. It was assigned randomly and counterbalanced for the genotypes. Animals could utilize external visual cues on the walls surrounding the tank to locate the platform. The trial was completed when the animal either found the escape platform or 60 s had passed. If the animal was unable to locate the platform in 60 s, it was gently led to the platform. Animals were allowed to remain on the escape platform for 15 s before being removed and dried for the next trial. In addition, the platform position was kept constant between trials and days. The four trials of the first four training days were used as an indicator of spatial working memory. On day 5, the animals performed a 60 s probe trial without the platform. During this trial, the time spent in the target quadrant was recorded for each animal.

Study approval.

All animal work was performed according to one of the following protocols: 1) the Guide for the Care and Use of Laboratory Animals under approved IACUC animal use protocols within the AAALAC accredited program at the University of North Carolina at Chapel Hill (Animal Welfare Assurance Number: A-3410–01); or 2) the requirements of the Medical Research Ethics Committee Board of the First Affiliated Hospital of Zhengzhou University. All animals were euthanized according to the regulations of the governing protocol.

Proteomic studies

Sample preparation, iTRAQ labeling, and LC-MS/MS analysis: Immediately after termination, the cerebellum was dissected, briefly washed with PBS solution, snap-frozen in liquid nitrogen, and stored at -80 °C until use. Frozen samples were obtained from both genotypes (N = 3) and total proteins of each sample were extracted using lysis buffer (1% SDS, 50 mM Tris–HCl (pH 6.8), 10% glycerol, and 1× protease inhibitor). Lysates were boiled in water for 15 min, sonicated (80 W, pulse at 10 s then 15 s for 10 times), and then boiled again for 15 min. Finally, lysates were centrifuged at high speed for 30 min, and supernatants collected and stored in aliquots at—80 °C (longer term).

Protein solutions (100 μg) containing 8 M urea was diluted four times with 100 mM Triethylammonium bicarbonate. Trypsin Gold (Promega, Madison, WI, USA) was used to digest the proteins with the ratio of protein: trypsin = 40:1 at 37 °C overnight. After trypsin digestion, peptides were desalted with a Strata X C18 column (Phenomenex) and vacuum-dried according to the manufacturer’s protocol. Samples were labeled using the iTRAQ Reagent-8plex Multiplex Kit (AB SCIEX, Framingham, USA), according to the manufacturer’s instructions. T246/T246 samples were labeled with iTRAQ tags 117, 118, and 119, while M246/M246 samples were labeled with tags 114, 115, and 116 (three replicates from each group). After 2 h of incubation at room temperature, labeled samples were mixed at equal ratios, desalted with a Strata X C18 column (Phenomenex), and vacuum-dried according to the manufacturer’s protocol.

The peptides were separated on a Shimadzu LC-20AB HPLC Pump system coupled with a high pH RP column. The peptides were reconstituted with buffer A (5% acetonitrile, 95% H2O, adjusted pH to 9.8 with ammonia) to 2 ml and loaded onto a column containing 5-μm particles (Phenomenex). The peptides are separated at a flow rate of 1 mL/min with a gradient of 5% buffer B (5% H2O, 95% acetonitrile, adjusted pH to 9.8 with ammonia) for 10 min, 5–35% buffer B for 40min, 35–95% buffer B for 1 min. The system was then maintained in 95% buffer B for 3 min and decreased to 5% within 1 min before equilibrating with 5% buffer B for 10 min. Elution is monitored by measuring absorbance at 214 nm, and fractions are collected every 1 min. The eluted peptides are pooled as 20 fractions and vacuum dried.

Each fraction was resuspended in buffer A (2% acetonitrile and 0.1% formic acid in water) and centrifuged at 20,000 × g for 10 min. The supernatant was loaded onto a C18 trap column 5 μl/min for 8 min using an LC-20AD nano-HPLC instrument (Shimadzu, Kyoto, Japan) by the autosampler. Then, the peptides were eluted from trap column and separated by an analytical C18 column (inner diameter 75 μm) packed in-house. The gradient was run at 300 nl/min starting from 8 to 35% of buffer B (2% H2O and 0.1% formic acid in acetonitrile) in 35 min, then going up to 60% in 5 min, then maintenance at 80% B for 5 min, and finally returned to 5% in 0.1 min and equilibrated for 10 min.

Data acquisition was performed with a TripleTOF 5600 System (SCIEX, Framingham, MA, USA) equipped with a Nanospray III source (SCIEX, Framingham, MA, USA), a pulled quartz tip as the emitter (New Objectives, Woburn, MA) and controlled with software Analyst 1.6 (AB SCIEX, Concord, ON). Data were acquired with the following MS conditions: ion spray voltage 2,300 V, curtain gas of 30, nebulizer gas of 15, and interface heater temperature of 150 °C. High sensitivity mode was used for the whole data acquisition. The accumulation time for MS1 is 250ms, and the mass ranges were from 350 to 1500 Da. Based on the intensity in MS1 survey, as many as 30 product ion scans were collected exceeding a threshold of 120 counts per second (counts/s) and with charge-state 2+ to 5+. The dynamic exclusion was set for 1/2 of peak width (12 s). For ITRAQ data acquisition, the collision energy was adjusted to all precursor ions for collision-induced dissociation, and the Q2 transmission window for 100Da was 100%.

Protein identification.

The raw MS/MS data were converted into MGF format by ProteoWizard tool msConvert, and the exported MGF files were searched using Mascotversion 2.3.02 in this project against the selected database. At least one unique peptide was necessary for the identified protein. The databases used were: NCBInr, SwissProt, UniProt. An automated software called IQuant was used for quantitatively analyzing the labeled peptides with isobaric tags. It integrates Mascot Percolator, a well-performing machine learning method for rescoring database search results, to provide reliable significance measures. To assess the confidence of peptides, the PSMs were pre-filtered at a PSM-level FDR of 1%. Then based on the "simple principle" (the parsimony principle), identified peptide sequences are assembled into a set of confident proteins. To control the rate of false-positive identifications at the protein level, an FDR threshold of 1% was used, which is based on Picked protein FDR strategy, will also be estimated after protein inference (protein-level FDR < = 0.01). The protein quantification process includes the following steps: protein identification, tag impurity correction, data normalization, missing value imputation, protein ratio calculation, statistical analysis, results presentation. Protein identification was supported by all peptide matches with 95% confidence. Comparisons were made between genotypes and proteins were considered to be differentially that met the criteria of p < 0.05 and absolute fold change > 1.2.

StringDB analysis.

Differentially expressed proteins were analyzed using STRING analysis [40]. We filter excluded any proteins lacking interactions and used the Markov cluster algorithm (MCL) with an inflation parameter of three to identify clusters of related proteins based on their interaction network. Simultaneously, we used functional enrichment to identify biological processes, cellular components, and pathways that were over-represented in our protein list using a false discovery rate of less than 5%.

Supporting information

S1 Video. Performance on the accelerating rotoarod is decreased in adult rats homozygous for CHIP-T246M.

Three rats with either the M246/M246 (left) or T246/T246 (right) genotypes were placed on the non-moving rod. Once the rod starts to rotate, M246/M246 mice fall off within 15 s.


S2 Video. The effect of CHIP-T246M on hind limb clasping.

Mice with the M246/M246 (left, blue glove) or T246/T246 (right, white glove) genotype were tested for hind limb clasping. Increased clasping was observed in M246/M246 mice and further increased with age, relative to control mice.


S3 Video. The effect of CHIP gene disruption on hind limb clasping.

Mice that lack CHIP expression (left, blue glove) or a wild-type litter mate (right, white glove), were tested for hind limb clasping. Increased clasping was observed in CHIP−/− mice and further increased with age, relative to control mice.


S1 Table. Proteomics analysis of differentially expressed cerebellar proteins identified in the CHIP-T246M rat model.

The protein name is provided along with the values of each protein from biological replicates of M246/M246 cerebellums (M1, M2, and M3) relative to the mean values of three T246/T246 biological replicates. The mean of all three replicates, the standard deviation (SD), and the p value comparing M246/M246 vs. T246/T246 conditions are indicated. Additional annotations of each protein, including database ID, the mass, and decryption are provided.


S2 Table. Cluster analysis of interacting proteins.

Each cluster was color coded as found in Fig 10B. The number of proteins in each cluster, the protein name, ID, and description is provided.


S1 Fig. Reaction time in the acoustic startle response.

The reaction time of the startle following the acoustic stimulus (AS) in CHIP null mice (−/−, N = 6) and wild-type mice (+/+, N = 10) represented by the mean ± SEM: 2-way ANOVA, p < 0.001 on genotype (main effect), * corresponds to p < 0.05 comparing genotypes via Sidak’s post hoc test.


S2 Fig. Unsupervised cluster analysis of differentially expressed proteins due to CHIP-T246M.

Proteins were clustered using Ward linkage analysis. Each column is the mean of a biological replicate of an M246/M246 cerebellum relative to T246/T246 control cerebellums. The two primary clusters represent proteins that are either increased (left) or decreased (right) in M246/M246 cerebellums as indicated by the color bar.


S3 Fig. Immunoblots of differentially expressed proteins due to CHIP-T246M with age.

Representative immunoblots of the indicated proteins from either cerebellum or brain extracts isolated from rats with the indicated genotypes and age.


S4 Fig. Generation the corresponding CHIP-T246M mutation at the endogenous locus of Stub1 in Rattus norvegicus using CRISPR/Cas9.

(A) Schematic of targeting vector used for in vivo genome editing, targeting the Cas9 nuclease to exon 6. (B) Map of Cas9 vector. (C) Map of Stub1 T247M targeting vector (rodents have an additional coding exon relative to humans). (D) Sanger sequencing confirmation of the T246M mutation, changing the coding exon from ACA (threonine) to ATG (methionine).



We thank members of the Schisler Laboratory for critical review of the manuscript; the Willis, Jensen, McLean, and Stouffer Laboratories for support; and The McAllister Heart Institute administration team. We thank John B. Belcher, Alex Eaker, and Anna Beth Robertson for their help with animal studies. We also thank the core facilities at The University of North Carolina at Chapel Hill for their services, including the Mouse Behavioral Phenotyping Core (Sheryl Moy, PhD), the Animal Histopathology and Lab Medicine Core (Dawud Hilliard), and the Macromolecular Interactions Facility (Ashutosh Tripathy, PhD). All authors approved the final version of the manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed.


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