Figures
Abstract
C5-substituted 2,4-diaminoquinazolines (2,4-DAQs) ameliorate disease severity in SMA mice. It is uncertain, however, that these compounds increase SMN protein levels in vivo even though they were identified as activators of the SMN2 promoter. These compounds also regulate the expression of other transcripts in neuroblastoma cells. In this study, we investigate the mechanism by which the 2,4-DAQs regulate the expression of SMN2 as well as other targets. D156844, D158872, D157161 and D157495 (RG3039) increased SMN2 promoter-driven reporter gene activity by at least 3-fold in NSC-34 cells. These compounds, however, did not significantly increase SMN2 mRNA levels in type II SMA fibroblasts nor in NSC-34 cells, although there was a trend for these compounds increasing SMN protein in SMA fibroblasts. The number of SMN-containing gems was increased in SMA fibroblasts in response to 2,4-DAQ treatment in a dose-dependent manner. ATOH7 mRNA levels were significantly lower in type II SMA fibroblasts. 2,4-DAQs significantly increased ATOH7, DRNT1 and DRTN2 transcript levels in type II SMA fibroblasts and restored ATOH7 levels to those observed in healthy fibroblasts. These compounds also increase Atoh7 mRNA expression in NSC-34 cells. In conclusion, 2,4-DAQs regulate SMN2 by increasing protein levels and gem localization. They also increase ATOH7, DRNT1 and DRNT2 transcript levels. This study reveals that the protective effects of 2,4-DAQs in SMA may be independent of SMN2 gene regulation. These compounds could be used in concert with a proven SMN2 inducer to develop a multi-faceted approach to treating SMA.
Citation: Gentillon C, Connell AJ, Kirk RW, Butchbach MER (2017) The effects of C5-substituted 2,4-diaminoquinazolines on selected transcript expression in spinal muscular atrophy cells. PLoS ONE 12(6): e0180657. https://doi.org/10.1371/journal.pone.0180657
Editor: Ravindra N. Singh, Iowa State University, UNITED STATES
Received: April 6, 2017; Accepted: June 19, 2017; Published: June 29, 2017
Copyright: © 2017 Gentillon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper.
Funding: This work was supported in part by the Nemours Foundation (MERB), Cure SMA (MERB) and National Institutes of Health [grant number P30GM114736; MERB]. CG was supported by the University of Delaware. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Proximal spinal muscular atrophy (SMA) is an early-onset neurodegenerative disease characterized by the loss of α-motor neurons in the anterior horn of the spinal cord which leads to muscle weakness and atrophy [1;2]. SMA is an autosomal recessive disease that is a leading genetic cause of infant death worldwide with an incidence of 1 in ~10,000 births [3;4]. SMA can be classified into five clinical grades based on age of onset and the highest achieved motor milestone. Regardless of clinical grade, proximal SMA results from the loss or mutation of SMN1 (survival motor neuron 1) on chromosome 5q13 [5]. SMN protein is involved the assembly of small nuclear ribonucleoprotein (snRNP) complexes required for splicing [2]. SMN is also implicated in stabilizing messenger ribonucleoprotein (mRNP) complexes in axons [6]. In addition to these well characterized functions, SMN is involved in many other intracellular processes [7].
In humans a large tandem chromosomal duplication has lead to a second copy of this gene known as SMN2 [8;9]. SMN2 is functionally distinguishable from SMN1 by a single nucleotide difference (SMN2 c.850C>T) in exon 7 that disrupts an exonic splice enhancer. As a result, most SMN2 mRNAs lack exon 7 (SMNΔ7) and produce a protein that is both unstable and less than fully functional [10–12]. Although only 10–20% of the SMN2 gene product is fully functional [8;9], increased genomic copies of SMN2 inversely correlates with disease severity among individuals with SMA [13]. Studies using transgenic mouse models for SMA have shown that increased SMN2 copy number lessens the phenotypic severity of disease [14–16]. SMN2 copy number variation, therefore, is a major modifier of disease severity in SMA.
As SMN2 is a major genetic modifier of SMA phenotype, it has become the primary target for the development of therapies—both small molecular and biological—for SMA. Numerous studies have identified many classes of compounds as inducers of SMN2 expression [17]. Small molecule drugs can increase SMN2 expression in vivo at different levels of gene regulation, such as enhancing promoter activity or increasing the inclusion of exon 7 in SMN2 mRNA transcripts. C5-substituted 2,4-diaminoquinazolines (2,4-DAQs) are potent inducers of SMN2 promoter activity that were identified through a high-throughput drug screen [18]. The piperidine derivative D156844 increases SMN expression in type II SMA fibroblasts and ameliorates the survival and phenotype of SMNΔ7 SMA mice [19–22]. RG3039, also known as D157495, increases the mean lifespan in multiple mouse models of SMA [23;24].
The 2,4-DAQs bind to and inhibit the activity of the mRNA decapping enzyme DcpS [25]. DcpS is a member of the histidine triad family of nucleotide hydrolases and is implicated in mRNA degradation [26]. After complete 3’ to 5’ degradation of the mRNA in eukaryotes by exonucleases, DcpS hydrolyzes the residual cap structure, 7-methylguanosine nucleoside triphosphate (m7GpppN), to release 5’ diphosphate-oligonucleotide mRNA and 7-methylguanosine monophosphate (m7GMP) as products [26;27]. DcpS is also implicated in the 5’ to 3’ mRNA decay pathway where it is found to dephosphorylate the m7GDP decapping product to m7GMP [28]. It is unclear how DcpS inhibition by the 2,4-DAQs increases SMN2 expression. In this study, we examined the effects of a novel group of 2,4-DAQs on the regulation of SMN2 expression in type II SMA fibroblast lines as well as in motor neuron-based reporter cell lines. We also examined the effects of these 2,4-DAQs on the expression of three DcpS-regulated transcripts [29]—ATOH7 (atonal homologue 7), DRNT1 (DcpS-responsive noncoding transcript 1) and DRNT2—in type II SMA fibroblasts.
Materials and methods
Drug compounds
The C5-substituted 2,4-diaminoquinazoline derivatives D156844, D157495 (RG3039), D157161 and D158872 were obtained from Repligen Corp. (Waltham, MA) and were all dissolved in DMSO.
Cell culture
Fibroblasts derived from type II SMA (GM03813, GM22592 and AIDHC-SP22) and non-SMA (GM03814, AIDHC-NMC1, AIDHC-SC1 and AIDHC-SC2) individuals were grown in DMEM containing 10% EquaFETAL (Atlas Biologicals, Fort Collins, CO), 2 mM L-glutamine (Life Technologies, Grand Island, NY) and 1% penicillin-streptomycin (Life Technologies). GM03813 [30], GM22592 and GM03814 [30] fibroblast lines were obtained from Coriell Cell Repositories (Camden, NJ) while the other fibroblast lines were generated at Nemours/Alfred I. duPont Hospital for Children. All type II SMA fibroblast lines used in this study contain 0 copies of SMN1 and 3 copies of SMN2 [31]. GM03814 fibroblasts [30] were derived from the carrier mother of GM03813 and contain 1 copy of SMN1 and 5 copies of SMN2 [31]. The other non-SMA fibroblast lines contain 2 copies of SMN1 and 2 copies of SMN2 [31]. The fibroblast lines were authenticated using short tandem repeat profiling and digital PCR as described previously [32].
The mouse motor neuron cell line NSC-34 [33] and the NSC-34-based reporter lines [18;34] were maintained in DMEM, 5% EquaFETAL, 2 mM L-glutamine and 1% penicillin/streptomycin. In all instances, the cells were maintained in a humidified chamber at 37°C and 5% CO2.
β-Lactamase reporter assays
The clone 11 cell line (Vertex Pharmaceuticals, [18]) was used for the SMN2 promoter assay and the clone 5.3 (Vertex Pharmaceuticals, [34]) was used for the SMN2 splicing assay. The cells were seeded onto a black-walled, clear bottom 96-well tissue culture plates (Santa Cruz Biotechnology) at a density of 5×104 cells/well. For these experiments, the compounds were tested in quadruplicate. Drug compounds were added to the medium using a 96-pin replicator (pin diameter = 1.19 mm; V&P Scientific, Inc., San Diego, CA) and plates were incubated for 19 hours. At the end of the incubation, 20μL of 6X CCF2-AM dye (GeneBlazer In Vivo Detection Kit, Life Technologies) was added to each of the assay wells and plates were incubated at room temperature for 2 hours before the plates are read on a plate reader (Victor X4, Perkin Elmer). Fluorescence intensities (F) were obtained at 2 wavelengths for each sample: the CCF2-AM substrate at λem = 530 nm and the cleaved product at λem = 460 nm. The normalized fluorescence intensity ratio (F460:F530) was plotted against compound concentration and used to generate a dose response curve for the SMN2 promoter assay.
Treatment of cells with 2,4-DAQs
All cells were plated 24 hours prior to treatment with drug compounds and harvested by scraping following five days of treatment. This treatment paradigm was selected to monitor changes in response to chronic exposure to these compounds, which would be similar to conditions observed in SMA patients treated with one of these compounds. Medium was changed daily and fresh drug compounds or DMSO was added at a 1:1000 dilution every 24 ± 2 hours during the five-day treatment period.
Immunofluorescence and gem count analysis
For immunofluorescence, cells were seeded onto gelatinized glass coverslips at a density of 4000 cells/cm2 and treated with compounds as described above. Immunostaining of fibroblast cells was accomplished as described previously [19;35] using the MANSMA2 mouse anti-SMN mAb (1:200; Developmental Studies Hybridoma Bank, Iowa City, IA [36]). SMN immunostaining within the nuclei of treated fibroblasts was visualized using a DMRXA2 epifluorescence microscope (Leica Microsystems) with an ORCA-ER cooled camera (Hamamatsu, Hamamatsu City, Japan) and Volocity 6.1.1 software (Perkin-Elmer). Gems were counted 10 randomly selected nuclei in a field of view; this process was repeated for a total of 10 randomly selected, non-overlapping fields of view. The following parameters were measured: the number of gems, the number of cells with gems and the number of cells with more than 1 gem.
Quantitative RT-PCR
Cells were seeded onto 6-well plates at a density of 3.2×104 cells/well and treated as described above. The total RNA was extracted from cell lines using the RNAeasy Mini columns (QIAGEN, Germantown, MD), according to the manufacturer’s recommendations. First-strand complementary DNA was carried out using the iScript cDNA synthesis kit (Bio-Rad, Hercules, CA) according to manufacturer’s directions. Quantitative PCR was performed in a 384 well plate on a 7900HT Fast Real-Time PCR system (Applied Biosystems, Foster City, CA). Target transcripts were amplified by real time polymerase chain reaction using the SYBR Green PCR Master Mix (QIAGEN) in 10 μL total volume and the following cycling conditions: a 10-minute initial denaturation step at 95°C, followed by 40 cycles of 15 seconds at 95°C and 1 minute at 60°C. All samples were assayed in triplicate. The following primer sets (Integrated DNA Technologies, Coralville, IA) were used: ATOH7 [29], (F) 5’-AAAGCTGTCCAAGTACGAGAC-3’, (R) 5’-CGAAGTGCTCACAGTGGAG-3’; DRNT1 [29], (F) 5’-CACCTAGACTCATCACTTAGATCCACC-3’, (R) 5’-GAGACCTGATGGCTACAACTGACA-3’; DRNT2 [29], (F) 5’-TGGAGAAGCGATGGATGACAGAGA-3’, (R) 5’-GGTGAACGGACACAATTGCCAGAA-3’; PAQR8 [29], (F) 5’-AACGTCTGGACCCATTTACTG-3’, (R) 5’-CAGGTGAGGTAAGTGATTGAC-3’; SMNex6Fq, 5’-CCATATGTCCAGATTCTCTTGATGA-3’; SMNex78Rq, 5’-ATGCCAGCATTTCTCCTTAATTTA-3’; SMNex68Rq, 5’-ATGCCAGCATTTCCATATAATAGC-3’; Smn, (F) 5’-AGAATGCCACAACTCCCTTG-3’, (R) 5’-ATCCAGTATAAACCACGACACAG-3’ and Atoh7, (F) 5’-CAAGCTCTCCAAGTACGAGAC-3’, (R) 5’-TCTACCTGGAGCCTAGCAC-3’. For the fibroblast samples, data for each transcript were normalized to the geometric mean of three reference transcripts, ACTB (β-actin), GAPD (glyceraldehyde 3-phosphate dehydrogenase), and RPLP0 (ribosomal protein lateral stalk subunit P0), to minimize the variability in the expression of a single reference [37]. The data for each NSC-34 sample were normalized to the geometric mean of Rpl13a (ribosomal protein L13a) and Pgk (phosphoglycerate kinase). The reference primer sets were obtained from RealTime Primers LLC (Elkins Park, PA). The relative transcript levels were calculated using the efficiency-adjusted 2-ΔΔCt method [38;39]. The PCR efficiency (E) for each primer set was calculated from the slope of a Ct vs. log10(cDNA serial dilution) curve (E = 10[-1/slope]) [40]. ΔCt,adjusted is the difference between the adjusted Ct (Ct,measured × E) for the target transcript and the geometric mean of the adjusted Ct values for the three reference genes and ΔΔCt is defined as the difference between the ΔCt for the SMA sample and the ΔCt for the control sample.
mRNA stability assay
mRNA stability was assayed as described previously with modification [41]. Fibroblasts were seeded onto 6-well plates at a density of 3.2×104 cells/well and treated with compounds or DMSO as previously described. Twenty-four hours after the final treatment, cells were exposed to 5 μg/mL actinomycin D (ActD; Sigma-Aldrich, St. Louis, MO) for 0, 2, 6, 12 or 24 hours. RNA isolation and first strand complementary DNA synthesis were performed as already described. The thermocycling profile was 50°C for 2 minutes, 95°C for 10 minutes, followed by 30 cycles at 95°C for 15 seconds and 60°C for 1 minute, and a final cycle at 72°C for 5 minutes. PCR was performed using primers specific for sequences within SMN exons 6 and 8: SMN exon 6 (F), 5’-CCCATATGTCCAGATTCTCTTGAT-3’; SMN exon 8 (R), 5’-CTACAACACCCTTCTCACAG-3’. COL3A (collagen IIIA) was used as control because of its high expression in fibroblasts [41]: COL3A (F), 5’-GCTCTGCTTCATCCCACTATT-3’; COL3A (R), 5’-GGAATACCAGGGTCACCATTT-3’. The PCR products were electrophoresed through a 2% agarose gel. Gel images were captured with an AlphaImager system (ProteinSimple, San Jose, CA) and band intensities were quantified using AlphaView, version 3.2.2.
Immunoblot
For protein analysis, cells were plated onto 10-cm dishes at a density of 4.0×105 cells/dish and treated with test compounds as previously described. The resultant cell pellets were lysed in 50 μL cell lysis buffer (0.1% Triton X-100 and Complete protease inhibitor cocktail (Roche Life Sciences, Indianapolis, IN) in phosphate-buffered saline (PBS, pH 7.4)). Lysates were sonicated using a Sonic Dismembrator (Thermo Scientific). Protein quantification was performed using the Micro BCA Protein Assay kit (Fisher Scientific). NSC-34 (5 μg/lane) or 10 μg fibroblast (10 μg/lane) extracts were mixed with 0.2-volumes non-reducing 6× loading dye (10.28% SDS, 36% glycerol and 0.012% bromophenol blue in 350 mM Tris-HCl, pH 6.8) and 0.1-volumes 1 M DTT, were heated at 90°C-100°C for 10 minutes and briefly centrifuged. Prepared samples along with Kaleidoscope Precision Plus protein ladder (Bio-Rad) were resolved through 12% Polyacrylamide Mini-PROTEAN TGX Precast gels (Bio-Rad) using the Mini-PROTEAN system (Bio-Rad). Samples were then transferred onto polyvinylidine fluoride (PVDF) membranes (0.45 μm, GE Healthcare Life Sciences, Piscataway, NJ) using the Trans-Blot semi dry transfer cell (Bio-Rad) and incubated for 1 h at room temperature in 1×blocking buffer (PBS containing 5% milk and 0.1% Tween-20). Blots were then incubated in primary antibody solution (in 0.2×blocking buffer) overnight at 4°C. The following primary antibodies were used: mouse anti-SMN mAb (MANSMA2 (8F7), Developmental Studies Hybridoma Bank, Iowa City, IA [36], 1:100), rabbit anti-ATH5 (ATOH7) pAb (EMD Millipore; 1:200), rabbit anti-MATH5 (ATOH7) pAb (Abcam; 1:100), rabbit anti-ATOH7 pAb (Thermo Scientific; 1:1000), rabbit anti-MATH5 (ATOH7) mAb (EPR13935, Abcam; 1:1000), mouse anti-β-actin mAb (AC-15, Sigma-Aldrich, 1:5000) and mouse anti-β-tubulin mAb (E7, Developmental Studies Hybridoma Bank [42], 1:100). The blots were extensively washed with PBS containing 0.1% Tween-20 (PBST; 3×10 min) and incubated for 1 h at room temperature with an HRP-linked anti-mouse or anti-rabbit IgG secondary antibody (1:5000; Rockland Immunochemicals, Inc., Pottstown, PA) diluted in 0.2×blocking buffer. After extensive washing, the bound antibody was detected by chemiluminescence using either the Western Sure ECL Substrate (LiCor, Lincoln, NE) or SuperSignal West Femto (Thermo Scientific) kits and developed with the C-DiGit Blot Scanner (LiCor). Band intensities, defined as the band signal divided by the band area, were measured using the Image StudioTM Lite software (LiCor). The measured band areas were the same for each sample on a blot. Band intensities for the target protein (SMN) were divided by those for the reference protein (β-actin or β-tubulin) to obtain normalized band intensities. To measure the relative protein level for a sample, the normalized band intensity for the drug-treated sample was divided by the normalized band intensity for the control sample (either DMSO-treated cells or a reference cell line).
Data and statistical analysis
Data are expressed as mean ± standard error. Parametric data were analyzed by ANOVA with either a Bonferroni (gem analysis) or Holm-Sidak (expression analysis) post hoc test. Statistical significance was set at p ≤ 0.05. Comparisons between data were performed with Sigma Plot v.12.0 or SPSS v.22.0. The EC50 value of each compound for the SMN2 promoter assay was determined using Prism (GraphPad).
Results
Effects of C5-substituted 2,4-DAQs on SMN-containing gem localization in type II SMA fibroblasts
In most cells, SMN localizes to discreet foci within the nucleus known as gems [43]. In SMA cells, the number of subnuclear gems is greatly reduced and the magnitude of gem deficit is related to clinical severity [44]. As the 2,4-DAQ D156844 has been previously shown to increase the number of SMN-positive gems within the nuclei of SMA cells [19], we examined the effects of three other C5-substituted 2,4-DAQs—D158872, D157161 and D157495—on gem localization in GM03813 type II SMA fibroblasts. Each compound increased the number of gems (Fig 1A) in SMA fibroblasts in a dose-dependent manner. The proportion of fibroblasts containing at least one subnuclear gem (Fig 1B) and more than one gem (Fig 1C) also increased in a dose-dependent manner. At the highest doses tested (1 μM), each compound increased the gem counts to those observed in healthy, carrier GM03814 fibroblasts.
Cells were treated with different doses (10–1000 nM; n = 3/dose/drug) of D158872, D157161, D157495 or DMSO (vehicle) for 5 days. The number of SMN-positive gems within 100 randomly selected nuclei was counted. As a control, the number of gems in healthy, carrier fibroblasts (GM03814) was also measured. The gem count analysis was expressed as (A) the number of gems per 100 nuclei, (B) the proportion of cells containing gems and (C) the proportion of cells containing multiple gems. The dashed line represents the value for DMSO-treated GM03813 fibroblasts. The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and vehicle-treated cells.
Effects of C5-substituted 2,4-DAQs on SMN2 gene regulation
We first examined the effects of C5-substituted 2,4-DAQs on SMN2 promoter activity using clone 11 cells. This NSC-34 clonal line contains a β-lactamase (BLA) reporter gene under the control of a 3.4-kb fragment of the SMN2 promoter; this clonal line has been previously used in high-throughput screening of SMN2 inducers [18]. When compared to DMSO (vehicle)-treated cells, D156844, D158872, D157161 and D157495 significantly increased SMN2-drived BLA activity as measured by an increase in the λ460:λ530 fluorescence emission ratio (Fig 2A). All four compounds displayed sigmoidal dose-dependent increases in SMN2-drived BLA activity (Fig 2B–2E). Based on EC50 values, D157495 was 2.5-fold more potent at increasing SMN2-drived BLA activity than D156844 (Table 1). These compounds were ranked as follows based on their potencies at inducing SMN2-drived BLA activity: D157495 > D156844 = D158872 > D156171.
Clone 11 NSC-34 cells harboring a reporter gene driven by the 3.4-kb SMN2 promoter were treated with 1 μM D156844, D158872, D157161, D157495 or DMSO (n = 4/drug) for 19 hours prior to fluorescent β-lactamase assay analysis. (A) All 4 compounds significantly increased SMN2-drived BLA activity. The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and vehicle-treated cells. Dose-response curves (1 nM– 10 μM) for D156844 (B), D158872 (C), D157161 (D) and D157495 (E). Each compound tested exhibited a dose-dependent increase in SMN2-drived BLA activity.
The effects of C5-substituted 2,4-DAQs on SMN mRNA levels were examined in GM03813 fibroblasts. Quantitative RT-PCR showed that the amounts of full-length SMN (FL-SMN) (Fig 3A) and exon 7 lacking SMN (SMNΔ7) (Fig 3B) did not increase in response to treatment with D156844, D158872, D157161 or D157495. To determine whether or not these observations were unique to this fibroblast line, we also examined the effects of the C5-substituted 2,4-DAQs on SMN mRNA levels in two additional type II SMA fibroblast lines, GM22592 and AIDHC-SP22, that possess the same SMN2 copy number as GM03813 cells [31]. As a control, FL-SMN and SMNΔ7 mRNA levels in response to D156844, D157161, D158872 and D157495 were measured in three healthy fibroblast lines—AIDHC-NMC1, AIDHC-SC1 and AIDHC-SC2—that have 2 copies of SMN1 and 2 copies of SMN2 [31]. Under basal conditions, FL-SMN (Fig 3C) mRNA levels were lower in type II SMA fibroblast lines when compared against healthy fibroblasts. With the exception of AIDHC-NMC1, basal SMNΔ7 (Fig 3D) mRNA levels were not different between type II SMA and healthy fibroblasts. FL-SMN (Fig 3E) or SMNΔ7 (Fig 3F) mRNA levels were not affected by the compounds in either SMA or healthy cells. The variability in responsiveness to these compounds was observed in both SMA and healthy fibroblasts.
Fibroblasts were treated with 1–1000 nM D156844, D158872, D157161, D157495 or DMSO for 5 days. mRNA levels of FL-SMN and SMNΔ7 were measured via quantitative RT-PCR with ACTB, GAPD and RPLP0 being used as reference transcripts. The levels of either FL-SMN (A) or SMNΔ7 (B) mRNAs were not affected by the compounds in GM03813 fibroblasts. All transcript levels were expressed relative to DMSO-treated, GM03813 cells (dashed line). The basal levels of FL-SMN (C) and SMNΔ7 (D) mRNAs were measured in 3 different type II SMA (GM03813, GM22592 and AIDHC-SP22) and non-SMA (AIDHC-NMC1, AIDHC-SC1 and AIDHC-SC2) fibroblast lines. All transcript levels were expressed relative to GM03813 cells (dashed line). These fibroblast lines were subsequently treated for 5 days with 1 μM D156844, D158872, D157161, D157495 or DMSO. An increase in either FL-SMN (E) or SMNΔ7 (F) mRNA levels was not observed in any cell line treated with these C5-substituted 2,4-DAQs. All transcript levels were expressed relative to DMSO-treated cells for each fibroblast line (dashed line).
In addition to examining the effects of C5-substituted 2,4-DAQs on FL-SMN and SMNΔ7 mRNA levels, we also measured changes in the alternative splicing of SMN2 mRNAs at exon 7. Clone 5.3 NSC-34 cells contain a BLA reporter gene whose expression is dependent on inclusion of exon 7 in the SMN mini-gene construct [34]. Clone 5.3 cells were treated with 1 μM D156844, D158872, D157161 and D157495 and then assayed for SMN2 exon 7 inclusion, i.e. increased BLA activity. SMN2 exon 7 inclusion was not altered by these compounds (Fig 4A); in fact, two of the compounds, D157161 and D157495, reduced SMN2 exon 7 inclusion. The effects of these compounds on the splicing of exon 7 were also measured in type II SMA fibroblasts. GM03813 cells were treated with 1 μM D156844, D157161, D158872, D157495 or DMSO for 5 days; FL-SMN and SMNΔ7 transcripts were measured by qualitative RT-PCR and agarose electrophoresis. The proportion of FL-SMN or SMNΔ7 mRNAs in these cells were not affected by these compounds (Fig 4B).
(A) Clone 5.3 NSC-34 cells harbor a reporter gene whose expression is linked to inclusion of SMN2 exon 7. These cells were treated with 1 μM D156844, D158872, D157161, D157495 or DMSO (n = 4/drug) for 19 hours prior to fluorescent β-lactamase assay analysis. These compounds tested did not increase the inclusion of SMN2 exon 7 but D157161 and D157495 actually decreased SMN2 exon 7 inclusion. The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and vehicle-treated cells. (B) Qualitative analysis of the effects of D156844, D157161, D158872 and D157495 on SMN2 transcripts in type II SMA fibroblasts. GM03813 cells were treated with 1 μM each compound or DMSO (n = 3/compound) for 5 days and then analyzed for changes in the amounts of FL-SMN and SMNΔ7 transcripts by RT-PCR and agarose gel electrophoresis. The amounts of FL-SMN and SMNΔ7 transcripts were also compared against GM03814 samples. COL3A transcripts were also assayed as a loading control for RT-PCR. These compounds tested did not affect the proportion of FL-SMN relative to SMNΔ7.
The effects of C5-substituted 2,4-DAQs on SMN protein levels in GM03813 fibroblasts were measured using immunoblot. D158872, D157161 and D157495 increased SMN protein levels in treated GM03813 cells (Fig 5A and 5B). SMN protein levels in cells, however, were not affected by treatment with D156844. SMN protein levels were increased in GM33592 type II SMA and AIDHC-NMC1 healthy fibroblasts (Fig 5C and 5D). Some variability in responsiveness to 2,4-DAQs was observed between cell lines.
(A) Representative SMN and β-actin immunoblots of GM03813 type II SMA fibroblasts treated for 5 days with 1–1000 nM D156844, D158872, D157161, D157495 or DMSO. (B) Relative SMN protein levels—expressed as the ratio between SMN and β-actin band intensities—in GM03813 fibroblasts treated with 2,4-DAQs. All SMN protein levels were expressed relative to DMSO-treated GM03813 fibroblasts. (C) Representative SMN and β-actin immunoblots of type II SMA and non-SMA fibroblasts treated for 5 days with 1 μM D156844, D158872, D157161, D157495 or DMSO. (D) Relative SMN protein levels in type II SMA and non-SMA fibroblasts treated with 1 μM 2,4-DAQs. All SMN protein levels were expressed relative to DMSO-treated cells for each fibroblast line (dashed line). The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and DMSO-treated cells.
Effects of C5-substituted 2,4-DAQs on SMN2 mRNA stability
C5-substituted 2,4-DAQs act as inhibitors of the mRNA decapping enzyme DcpS [25]. Since DcpS activity is required for mRNA degradation [45], these compounds may stabilize FL-SMN and SMNΔ7 transcripts thereby increasing SMN protein levels in SMA cells. To test this hypothesis, GM03813 and GM03814 fibroblasts were treated with D156844 and D157495 for 5 days and then exposed to the transcriptional inhibitor ActD for up to 24 hours. The degradation of FL-SMN and SMNΔ7 mRNAs were monitored by RT-PCR and agarose gel electrophoresis; collagen IIIA (COL3A) mRNA degradation was also monitored as a control [41]. Qualitatively, D156844 and D157495 increase FL-SMN and SMNΔ7 transcripts in GM03813 fibroblasts after 12 h exposure to ActD (Fig 6A). Neither treatment with D156844 or D157495, however, affected the rates of degradation for FL-SMN or SMNΔ7 mRNAs either in GM03813 (Fig 6B and 6C) or in GM03814 (Fig 6D and 6E) cells. These compounds, therefore, do not affect SMN2 mRNA stability in fibroblasts.
FL-SMN and SMNΔ7 mRNA stabilities were measured in fibroblasts pre-treated for 5 days with either 1 μM D156844, 1 μM D157495 or DMSO and then exposed to 5 μg/mL actinomycin D (ActD) for 0–24 hours. FL-SMN, SMNΔ7 and COL3A—a positive control for mRNA degradation—mRNAs were detected by qualitative RT-PCR and agarose electrophoresis. (A) Qualitative analysis of SMN and COL3A transcript stabilities from GM03813 and GM03814 fibroblasts treated with D156844, D157495 or DMSO prior to ActD exposure. Stability of FL-SMN (B, D) and SMNΔ7 (C,E) mRNAs over time in GM03813 (B,C) or GM03814 fibroblasts treated with D156844 (solid circle and solid line), D157495 (open circle and dotted line) or DMSO (closed triangle and dashed line).
Effects of C5-substituted 2,4-DAQs on DcpS-responsive transcripts in SMA fibroblasts
We measured the effects of the 2,4-DAQs on the levels of DcpS regulated transcripts [29]—ATOH7, PAQR8 (progestin/adipoQ receptor 8), RAB26, DRNT1 and DRNT2—in SMA fibroblasts. All of these transcripts except for RAB26 were expressed in fibroblasts. GM03813 fibroblasts were treated with 1 μM D156844, D158872, D156171, D157495 or DMSO for 5 days. All four compounds significantly increased ATOH7 mRNA as well as DRNT1 and DRNT2 long noncoding RNA (lncRNA) levels in GM03813 SMA fibroblasts (Fig 7A).
(A) GM03813 fibroblasts were treated with 1 μM D156844, D158872, D157161, D157495 or DMSO for 5 days. mRNA levels of ATOH7, DRNT1, DRNT2 and PAQR8 were measured via quantitative RT-PCR with ACTB, GAPD and RPLP0 being used as reference transcripts. All of the 2,4-DAQs tested increased ATOH7, DRNT1 and DRNT2 transcript levels in SMA fibroblasts. All transcript levels were expressed relative to DMSO-treated, GM03813 cells (dashed line). The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and DMSO-treated cells. The basal levels of ATOH7 (B) mRNA as well as DRNT1 (C) and DRNT2 (D) lncRNAs were measured in 3 different type II SMA (GM03813, GM22592 and AIDHC-SP22) and non-SMA (AIDHC-NMC1, AIDHC-SC1 and AIDHC-SC2) fibroblast lines. ATOH7 mRNA levels were higher in non-SMA fibroblasts than in SMA fibroblasts. Under basal conditions, DRNT1 and DRNT2 lncRNA levels are not significantly different between type II SMA and non-SMA fibroblasts. All transcript levels were expressed relative to GM03813 cells (dashed line). The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference relative to GM03813 fibroblasts. These fibroblast lines were separately treated for 5 days with 1 μM D156844, D158872, D157161, D157495 or DMSO and monitored for changes in ATOH7 (E), DRNT1 (F) and DRNT2 (G) transcript levels. Increases in ATOH7, DRNT1 and DRNT2 transcript levels were observed in all fibroblast lines treated with these C5-substituted 2,4-DAQs. All transcript levels were expressed relative to DMSO-treated cells for each fibroblast line (dashed line). The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and DMSO-treated cells.
Interestingly, the levels for each of the transcripts examined were lower in GM03813 fibroblasts when compared to healthy cells. Based on this observation, we measured ATOH7, DRNT1 and DRNT2 transcript levels in 3 different type II SMA fibroblast lines (GM03813, GM22592 and AIDHC-SP22) relative to 3 different healthy fibroblast lines (AIDHC-NMC1, AIDHC-SC1 and AIDHC-SC2). ATOH7 mRNA levels were lower in the 3 type II SMA fibroblasts tested when compared against the 3 non-SMA fibroblasts used in this study (Fig 7B). In contrast, the levels of DRNT1 (Fig 7C) and DRNT2 (Fig 7D) lncRNAs were not significantly different between SMA and non-SMA fibroblasts although there was a trend for reduced levels of these transcripts in type II SMA fibroblasts. The inductive effects of all four 2,4-DAQs on ATOH7 (Fig 7E) mRNA as well as DRNT1 (Fig 7F) and DRNT2 (Fig 7G) lncRNA expression were observed in both type II SMA and non-SMA fibroblasts.
The changes in ATOH7 protein levels were measured by immunoblot. Unfortunately, we could not detect a protein band with the appropriate size (17 kDa) in fibroblast samples using 4 different antibodies directed against ATOH7 (data not shown). We were able to detect bands at ~34 kDa and ~50 kDa but it was unclear if these bands were specific to ATOH7. This observation has been made in other studies involving ATOH7 protein expression [46].
Effects of C5-substituted 2,4-DAQs on Smn and Atoh7 expression in NSC-34 cells
The lack of effect of the 2,4-DAQs on SMN2 gene regulation in SMA fibroblasts may be due to the cell type assayed since SMN2 promoter activity was monitored in motor neuron-like NSC-34 cells and not in fibroblasts. To address this possibility, we examined the effects of the 2,4-DAQs on the expression of the murine SMN gene (Smn) in NSC-34 cells. Smn mRNA levels were not affected by treatment of NSC-34 cells with D156844, D158872, D157161 or D157495 for 5 days (Fig 8A). Smn protein levels were not affected by these compounds in NSC-34 cells (Fig 8B and 8C).
NSC-34 cells were treated with 1 μM D156844, D158872, D157161, D157495 or DMSO for 5 days (n = 3/compound). These compounds did not affect Smn (A) mRNA levels as measured by qRT-PCR. Treated NSC-34 cells were also measured for Smn protein levels by immunoblot. (B) Representative SMN and β-tubulin immunoblots of NSC-34 cells treated with 1 μM D156844, D158872, D157161, D157495 or DMSO for 5 days. (C) Relative Smn protein levels in NSC-34 cells treated with 2,4-DAQs. Smn protein levels were not increased by these compounds in NSC-34 cells. (D) Atoh7 mRNA levels were measured in treated NSC-34 cells by qRT-PCR. All 4 compounds significantly increased Atoh7 mRNA levels in NSC-34 cells. The asterisk (*) denotes a statistically significant (p ≤ 0.05) difference between drug- and DMSO-treated cells.
We also determined the effect of the 2,4-DAQs on Atoh7 expression in a motor neuron environment. Atoh7 mRNA levels were increased by 2.5–3.0 fold in treated NSC-34 cells (Fig 8D). Atoh7 protein levels, however, could not be measured due to the lack of a specific antibody against this antigen.
Discussion
SMN2 is an endogenous genetic modifier of SMA disease severity [13]. Many SMA therapeutics discovery programs aim to increase the amount of SMN protein from SMN2 by exploring multiple mechanisms including increasing transcription from the SMN2 promoter, enhancing the inclusion of exon 7 in the SMN2 mRNA or stabilizing SMNΔ7 protein [17]. Initially identified from an ultrahigh throughput drug screen [18], C5-substituted 2,4-DAQs activate SMN2 promoter activity and also increase SMN localization to subnuclear gems in SMA patient fibroblasts [19]. D156844 and D157495 (RG3039) have been shown to improve motor neuron function and extend survival of SMA mice models [20–24]. In this study, we examined the effects of four 2,4-DAQs—D156844, D158872, D157161 and D157495—on different levels of SMN2 gene regulation. Our results show that these compounds increased reporter gene activity which is driven by a 3.4-kb fragment of the SMN2 promoter by least 3-fold in the motor neuron-like NSC-34 cell line, with D157495 being the most potent inducer. Surprisingly, these compounds had no detectable effects on SMN2 mRNA levels in type II SMA fibroblasts but they tended to increase SMN protein levels in these cells.
How can we explain the fact that 2,4-DAQs activate the SMN2 promoter but fail to increase SMN2 mRNA levels? Stabilization of the β-lactamase transcripts caused by inhibition of DcpS may cause an apparent 2,4-DAQ-induced increase in promoter activity in the clone 11 cell line. This scenario, however, is unlikely because there was no increase in β-lactamase activity in clone 5.3 cells—which are used as an indicator of SMN2 exon 7 inclusion [34]—in response to 2,4-DAQ treatment. Another possibility for these disparate results may be that the effects of the 2,4-DAQs on SMN2 expression are specific to either cell-type or species. The promoter reporter assay is housed in NSC-34 cells, which are a fusion between mouse motor neurons and neuroblastoma [33;47], while the SMN2 expression studies were completed in type II SMA fibroblasts. We did not observe any changes in Smn mRNA or protein levels in NSC-34 cells treated with 2,4-DAQs suggesting that the cell-type specificity does not explain these disparate findings. The promoter assay used in this study contains a 3.4-kb fragment of the SMN2 promoter [18]. This promoter fragment contains all the regulatory elements that facilitate SMN2 gene transcription [48;49]. One limitation of this SMN2 promoter assay is that it does not take into account distal regulatory elements that regulate SMN2 expression. As a result, a given compound, like a 2,4-DAQ, may elicit a positive response with a fragment of the SMN2 promoter but not increase SMN2 expression in the context of the entire SMN2 gene.
The 2,4-DAQs did increase the number of SMN-containing gems in SMA fibroblasts in a dose-dependent manner even though these compounds did not increase SMN2 mRNA or protein levels. These compounds may regulate the trafficking of SMN from the cytosol into the nucleus where it forms gems. This altered subnuclear localization of SMN may result from the induction of 2,4-DAQ-regulated genes such as ATOH7, DRNT1 or DRNT2. Future work will investigate the regulation of SMN localization within the nucleus by the 2,4-DAQs and the importance of 2,4-DAQ-regulated genes in this process.
The 2,4-DAQs bind to and inhibit the activity of the human mRNA scavenger decapping enzyme DcpS [25]. This enzyme functions at multiple levels in the regulation of gene expression. DcpS cleaves the cap structures resulting from exosome degradation of mRNAs [26]. By inhibiting DcpS, the 2,4-DAQs cause the accumulation of the m7GpppN cap structure [25] which can sequester the nuclear cap binding protein and decrease the efficiency of first intron removal [50]. This results in a dysfunction in translation and the normal processing of mRNAs.
In addition to adversely affecting mRNA processing, DcpS inhibition affects the transcriptional gene regulation of certain transcripts. In SH-SY5Y neuroblastoma cells, DcpS knockout or treatment with D157495 increased the mRNA levels of ATOH7 as well as the putative lncRNAs DRNT1 and DRNT2 [29]. We found that type II SMA fibroblasts have significantly lower levels of ATOH7 than healthy fibroblasts; DRNT1 and DRNT2 transcript levels tended to be lower in SMA fibroblasts but the differences were not statistically significant. Interestingly, treatment of type II SMA fibroblasts with 2,4-DAQs restored ATOH7 mRNA expression to levels observed in non-SMA fibroblasts. ATOH7, a single exon gene, encodes a basic helix-loop-helix (bHLH) transcription factor that is homologous to Drosophila proneural gene atonal [51]. Atoh7, also known as Math5 in mice, is strongly expressed in the embryonic retina and the tenth cervical ganglion [51;52]. Atoh7 is also expressed in other regions of the nervous system like the cochlear nucleus [53] as well as in motor neuron-like NSC-34 cells (this study). Mutations in ATOH7 or in its promoter result in a myriad of optic disorders including optic nerve hypoplasia, persistent hyperplasia of the primary vitreous and primary open angle glaucoma [54–61]. ATOH7 is required for optic nerve and ganglion cell development in a context-dependent manner and plays a key role in ocular embryogenesis [62–65]. Retinal neurons show deficits in neurite outgrowth in a mouse model for Smn deficiency (Smn2B/- mice) [66]. The inhibited retinal neuritogenesis in Smn deficient mice may result from reduced Atoh7 expression. Future studies will determine the importance of Atoh7 in the development of SMA retinae. The pathogenesis of SMA may also involve the optic system, which needs to be further explored.
In summary, we found that 2,4-DAQs regulate SMN2 expression at the protein and post-translational (i.e. gems) levels. The small increases in SMN protein resulting from 2,4-DAQ exposure in SMA fibroblasts is consistent with previous work in SMA mice wherein these compounds show a modest increase in SMN protein in vivo [20–24]. These compounds also increase the abundance of ATOH7, DRNT1 and DRNT2 transcripts. These SMN2-independent differentially expressed transcripts could be a possible neuroprotective target for SMA therapeutics. 2,4-DAQs have multiple neuroprotective effects on SMA that result from a modest increase in SMN expression as well as regulation of other neuroprotective transcripts. These compounds could be used as small molecule neuroprotectants for SMA, possibly in combination with other SMN2 inducers, since they are CNS active and has an investigational new drug (IND) status. Examples of other SMN2 inducers include the splice switching oligonucleotide Spinraza (nusinersen; [67–69]), which is the first FDA-approved SMA therapeutic, or the small molecule SMN2 exon 7 splicing modifier RG7800 [70–72].
Acknowledgments
We would like to thank CureSMA and Repligen for providing the C5-substituted 2,4-DAQs, Vertex Pharmaceuticals, Inc. for providing the β-lactamase reporter cell lines, the Nemours Biomolecular Core Laboratory for access to the 7900HT Fast Real-Time PCR system and members of the Motor Neuron Diseases Research Laboratory, especially Ashlee Harris, for their input. Cure SMA financially supported and directed the identification and generation of the quinazoline series of compounds, including D156844, D158872, D157161 and D157495.
The MANSMA2 hybridoma that was developed by Dr. Glenn Morris and the E7 hybridoma that was developed by Dr. Michael Klymkowsky were obtained from the Developmental Studies Hybridoma Bank under the auspices of the NICHD and maintained by The University of Iowa, Department of Biology, Iowa City, IA 52242.
References
- 1. Crawford TO, Pardo CA. The neurobiology of childhood spinal muscular atrophy. Neurobiol Dis 1996;3:97–110. pmid:9173917
- 2. Tisdale S, Pellizzoni L. Disease mechanisms and therapeutic approaches in spinal muscular atrophy. J Neurosci 2015;35:8691–700. pmid:26063904
- 3. Cuscó I, Barceló MJ, Soler C, Parra J, Baiget M, Tizzano E. Prenatal diagnosis for risk of spinal muscular atrophy. Br J Obstet Gynaecol 2002;109:1244–9.
- 4. Pearn J. Incidence, prevalence and gene frequency studies of chronic childhood spinal muscular atrophy. J Med Genet 1978;15:409–13. pmid:745211
- 5. Lefebvre S, Bürglen L, Reboullet S, Clermont O, Burlet P, Viollet L, et al. Identification and characterization of a spinal muscular atrophy-determining gene. Cell 1995;80:155–65. pmid:7813012
- 6. Fallini C, Bassell GJ, Rossoll W. Spinal muscular atrophy: the role of SMN in axonal mRNA regulation. Brain Res 2012;1462:81–92. pmid:22330725
- 7. Singh RN, Howell MD, Ottesen EW, Singh NN. Diverse role of survival motor neuron protein. Biochim Biophys Acta 2017;1860:299–315. pmid:28095296
- 8. Lorson CL, Hahnen E, Androphy EJ, Wirth B. A single nucleotide in the SMN gene regulates splicing and is responsible for spinal muscular atrophy. Proc Natl Acad Sci U S A 1999;96:6307–11. pmid:10339583
- 9. Monani UR, Lorson CL, Parsons DW, Prior TW, Androphy EJ, Burghes AHM, et al. A single nucleotide difference that alters splicing patterns distinguishes the SMA gene SMN1 from the copy gene SMN2. Hum Mol Genet 1999;8:1177–83. pmid:10369862
- 10. Lorson CL, Androphy EJ. An exonic enhancer is required for inclusion of an essential exon in the SMA-determining gene SMN. Hum Mol Genet 2000;9:259–65. pmid:10607836
- 11. Cho S, Dreyfuss G. A degron created by SMN2 exon 7 skipping is a principal contributor to spinal muscular atrophy severity. Genes Dev 2010;24:438–42. pmid:20194437
- 12. Burnett BG, Muñoz E, Tandon A, Kwon DY, Sumner CJ, Fischbeck KH. Regulation of SMN protein stability. Mol Cell Biol 2009;29:1107–15. pmid:19103745
- 13. Butchbach MER. Copy number variations in the Survival Motor Neuron genes: implications for spinal muscular atrophy and other neurodegenerative diseases. Front Mol Biosci 2016;3:7. pmid:27014701
- 14. Monani UR, Sendtner M, Coovert DD, Parsons DW, Andreassi C, Le TT, et al. The human centromeric survival motor neuron gene (SMN2) rescues embryonic lethality in Smn-/- mice and results in a mouse with spinal muscular atrophy. Hum Mol Genet 2000;9:333–9. pmid:10655541
- 15. Hsieh-Li HM, Chang JG, Jong YJ, Wu MH, Wang NM, Tsai CH, et al. A mouse model for spinal muscular atrophy. Nat Genet 2000;24:66–70. pmid:10615130
- 16. Michaud M, Arnoux T, Bielli S, Durand E, Rotrou Y, Jablonka S, et al. Neuromuscular defects and breathing disorders in a new mouse model of spinal muscular atrophy. Neurobiol Dis 2010;38:125–35. pmid:20085811
- 17. Cherry JJ, Kobayashi DT, Lynes MM, Naryshkin NN, Tiziano FD, Zaworksi PG, et al. Assays for the identification and prioritization of drug candidates for spinal muscular atrophy. Assay Drug Dev Technol 2014;12:315–41. pmid:25147906
- 18. Jarecki J, Chen X, Bernardino A, Coovert DD, Whitney M, Burghes AHM, et al. Diverse small-molecule modulators of SMN expression found by high-throughput compound screening: early leads towards a therapeutic for spinal muscular atrophy. Hum Mol Genet 2005;14:2003–18. pmid:15944201
- 19. Thurmond J, Butchbach MER, Palomo M, Pease B, Rao M, Bedell L, et al. Synthesis and biological evaluation of novel 2,4-diaminoquinazoline derivatives as SMN2 promoter activators for the potential treatment of spinal muscular atrophy. J Med Chem 2008;51:449–69. pmid:18205293
- 20. Butchbach MER, Singh J, Þorsteindóttir M, Saieva L, Slominski E, Thurmond , et al. Effects of 2,4-diaminoquinazoline derivatives on SMN expression and phenotype in a mouse model for spinal muscular atrophy. Hum Mol Genet 2010;19:454–67. pmid:19897588
- 21. Butchbach MER, Singh J, Gurney ME, Burghes AHM. The effect of diet on the protective action of D156844 observed in spinal muscular atrophy mice. Exp Neurol 2014;256:1–6. pmid:24681157
- 22. Harris AW, Butchbach MER. The effect of the DcpS inhibitor D156844 on the protective action of follistatin in mice with spinal muscular atrophy. Neuromuscul Disord 2015;25:699–705. pmid:26055638
- 23. Van Meerbeke JP, Gibbs RM, Plasterer HL, Miao W, Feng Z, Lin MY, et al. The DcpS inhibitor RG3039 improves motor function in SMA mice. Hum Mol Genet 2013;22:4074–83. pmid:23727836
- 24. Gogliotti RG, Cardona H, Singh J, Bail S, Emery C, Kuntz N, et al. The DcpS inhibitor RG3039 improves survival, function and motor unit pathologies in two SMA mouse models. Hum Mol Genet 2013;22:4084–101. pmid:23736298
- 25. Singh J, Salcius M, Liu SW, Staker BL, Mishra R, Thurmond J, et al. DcpS as a therapeutic target for spinal muscular atrophy. ACS Chem Biol 2008;3:711–22. pmid:18839960
- 26. Liu H, Rodgers ND, Jiao X, Kiledjian M. The scavengar mRNA decapping enzyme DcpS is a member of the HIT family of pyrophosphatases. EMBO J 2002;21:4699–708. pmid:12198172
- 27. Wang Z, Kiledjian M. Functional link between the mammalian exosome and mRNA decapping. Cell 2001;107:751–62. pmid:11747811
- 28. van Dijk E, Le Hir H, Séraphin B. DcpS can act in the 5'-3' mRNA decay pathway in additional to the 3'-5' pathway. Proc Natl Acad Sci U S A 2003;100:12081–6. pmid:14523240
- 29. Zhou M, Bail S, Plasterer HL, Rusche J, Kiledjian M. DcpS is a transcript-specific modulator of RNA in mammalian cells. RNA 2015;21:1306–12. pmid:26001796
- 30. Scudiero DA, Polinsky RJ, Brumback RA, Tarone RE, Nee LE, Robbins JH. Alzheimer disease fibroblasts are hypersensitive to the lethal effects of a DNA-damaging chemical. Mutat Res 1986;159:125–31. pmid:3941662
- 31. Stabley DL, Harris AW, Holbrook J, Chubbs NJ, Lozo KW, Crawford TO, et al. SMN1 and SMN2 copy numbers in cell lines derived from patients with spinal muscular atrophy as measured by array digital PCR. Mol Genet Genomic Med 2015;3:248–57. pmid:26247043
- 32. Stabley DL, Holbrook J, Harris AW, Swoboda KJ, Crawford TO, Sol-Church K, et al. Establishing a reference dataset for the authentication of spinal muscular atrophy cell lines using STR profiling and digital PCR. Neuromuscul Disord 2017;27:439–46. pmid:28284873
- 33. Cashman NR, Durham HD, Blusztajn JK, Oda K, Tabira T, Shaw IT, et al. Neuroblastoma x spinal cord (NSC) hybrid cell lines resemble developing motor neurons. Dev Dyn 1992;194:209–21. pmid:1467557
- 34. Andreassi C, Jarecki J, Zhou J, Coovert DD, Monani UR, Chen X, et al. Aclarubicin treatment restores SMN levels to cells derived from type I spinal muscular atrophy patients. Hum Mol Genet 2001;10:2841–9. pmid:11734549
- 35. Mack SG, Cook DJ, Dhurjati P, Butchbach MER. Systems biology investigation of cAMP modulation to increase SMN levels for treatment of spinal muscular atrophy. PLoS ONE 2014;9:e115473. pmid:25514431
- 36. Young PJ, Le TT, Nguyen thi Man, Burghes AHM, Morris GE. The relationship between SMN, the spinal muscular atrophy protein, and nuclear coiled bodies in differentiated tissues and cultured cells. Exp Cell Res 2000;256:365–74. pmid:10772809
- 37. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 2002;3:research0034.1-research0034.11.
- 38. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative CT method. Nat Protoc 2008;3:1101–8. pmid:18546601
- 39. Yuan JS, Wang D, Stewart CN Jr. Statistical methods for efficiency adjusted real-time PCR quantification. Biotechnol J 2008;3:112–23. pmid:18074404
- 40. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 2001;29:e45. pmid:11328886
- 41. Heier CR, Gogliotti RG, DiDonato CJ. SMN transcript stability: could modulation of messenger RNA degradation provide a novel therapy for spinal muscular atrophy? J Child Neurol 2007;22:1013–8. pmid:17761657
- 42. Chu DTW, Klymkowsky MW. The appearance of acetylated α-tubulin during early development and cellular differentiation in Xenopus. Dev Biol 1989;136:104–17. pmid:2680681
- 43. Liu Q, Dreyfuss G. A novel nuclear structure containing the survival of motor neurons protein. EMBO J 1996;15:3555–65. pmid:8670859
- 44. Coovert DD, Le TT, McAndrew PE, Strasswimmer J, Crawford TO, Mendell JR, et al. The survival motor neuron protein in spinal muscular atrophy. Hum Mol Genet 1997;6:1205–14. pmid:9259265
- 45. Milac AL, Bojarska E, Wypijewska del Nogal A. Decapping Scavenger (DcpS) enzyme: advances in its structure, activity and roles in the cap-dependent mRNA metabolism. Biochim Biophys Acta 2014;1839:452–62. pmid:24742626
- 46. Prasov L, Brown NL, Glaser T. A critical analysis of Atoh7 (Math5) mRNA splicing in the developing mouse retina. PLoS ONE 2010;5:e12315. pmid:20808762
- 47. Durham HD, Dahrouge S, Cashman NR. Evaluation of the spinal cord neuron X neuroblastoma hybrid cell line NSC-34 as a model for neurotoxicity testing. Neurotoxicology 1993;14:387–95. pmid:7909362
- 48. Echaniz-Laguna A, Miniou P, Bartholdi D, Melki J. The promoters of the survival motor neuron gene (SMN) and its copy (SMNc) share common regulatory elements. Am J Hum Genet 1999;64:1365–70. pmid:10205267
- 49. Monani UR, McPherson JD, Burghes AHM. Promoter analysis of the human centromeric and telometic survival motor neuron genes (SMNc and SMNt). Biochim Biophys Acta 1999;1445:330–6. pmid:10366716
- 50. Shen V, Liu H, Lui SW, Jiao X, Kiledjian M. DcpS scavenger decapping enzyme can modulate pre-mRNA splicing. RNA 2008;14:1132–42. pmid:18426921
- 51. Brown NL, Dagenais SL, Chen CM, Glaser T. Molecular characterization and mapping of ATOH7, a human atonal homolog with predicted role in retinal ganglion cell development. Mamm Genome 2002;13:95–101. pmid:11889557
- 52. Brown NL, Kanekar S, Vetter ML, Tucker PK, Gemza DL, Glaser T. Math5 encodes a murine basic helix-loop-helix transcription factor expressed during early stages of retinal neurogenesis. Development 1998;125:4821–33. pmid:9806930
- 53. Saul SM, Brzezinski IV JA, Altschuler RA, Shore SE, Rudolph DD, Kabara LL, et al. Math5 expression and function in the central auditory system. Mol Cell Neurosci 2008;37:153–69. pmid:17977745
- 54. Ghiasvand NM, Rudolph DD, Mashayekhi M, Brzezinski IV JA, Goldman D, Glaser T. Deletion of a remote enhancer near ATOH7 disrupts retinal neurogenesis, causing NCRNA disease. Nat Neurosci 2011;14:578–86. pmid:21441919
- 55. Prasov L, Masud T, Khaliq S, Mehdi SQ, Abid A, Oliver ER, et al. ATOH7 mutations cause autosomal recessive persistent hyperplasia of the primary vitreous. Hum Mol Genet 2012;21:3681–94. pmid:22645276
- 56. Lim SH, St Germain E, Tran-Viet KN, Staffieri S, Marino M, Dollfus PH, et al. Sequencing analysis of the ATOH7 gene in individuals with optic nerve hypoplasia. Ophthalmic Genet 2014;35:1–6. pmid:23802135
- 57. Macgregor S, Hewitt AW, Hysi PG, Ruddle JB, Medland SE, Henders AK, et al. Genome-wide association identifies ATOH7 as a major gene determining human optic disc size. Hum Mol Genet 2010;19:2716–24. pmid:20395239
- 58. Husseiny MI, Kaye A, Zebadua E, Kandeel F, Ferreri K. Tissue-specific methylation of human insulin gene and PCR assay for monitoring beta cell death. PLoS ONE 2014;9:e94591. pmid:24722187
- 59. Liu Y, Garrett ME, Yaspan BL, Cooke Bailey J, Loomis SJ, Brilliant M, et al. DNA copy number variants of known glaucoma genes in relation to primary open-angle glaucoma. Invest Ophthalmol Vis Sci (PA) 2014;55:8251–8.
- 60. Chen JH, Wang D, Huang C, Zheng Y, Chen H, Pang CP, et al. Interactive effects of ATOH7 and RFTN1 in association with adult-onset primary open-angle glaucoma. Invest Ophthalmol Vis Sci (PA) 2012;53:779–85.
- 61. Venturini C, Nag A, Hysi PG, Wang JJ, Yong TY, Healey PR, et al. Clarifying the role of ATOH7 in glaucoma endophenotypes. Br J Ophthalmol 2014;98:562–6. pmid:24457358
- 62. Brown NL, Patel S, Brzezinski J, Glaser T. Math5 is required for retinal ganglion cell and optic nerve formation. Development 2001;128:2497–508. pmid:11493566
- 63. Wang SW, Kim BS, Ding K, Wang H, Sun D, Johnson RL, et al. Requirement for math5 in the development of retinal ganglion cells. Genes Dev 2001;15:24–9. pmid:11156601
- 64. Liu W, Mo Z, Xiang M. The Ath5 proneural genes function upstream of Brn3 POU domain transcription factor genes to promote retinal ganglion cell development. Proc Natl Acad Sci U S A 2001;98:1649–54. pmid:11172005
- 65. Prasov L, Glaser T. Pusing the envelope of retinal ganglion cell genesis: context dependent functions of Math5 (Atoh7). Dev Biol 2012;368:214–30. pmid:22609278
- 66. Liu H, Beauvais A, Baker AN, Tsilfidis C, Kothary R. Smn deficiency causes neuritogenesis and neurogenesis defects in the retinal neurons of a mouse model of spinal muscular atrophy. Dev Neurobiol 2011;71:153–69. pmid:20862739
- 67. Chiriboga CA, Swoboda KJ, Darras BT, Iannaccone ST, Montes J, De Vivo DC, et al. Results from a phase I study of nusinersen (ISIS-SMNRx) in children with spinal muscular atrophy. Neurology 2016;86:890–7. pmid:26865511
- 68. Haché M, Swoboda KJ, Sethna N, Farrow-Gillespie A, Khandji A, Xia S, et al. Intrathecal injections in children with spinal muscular atrophy: nusinersen clinical trial experience. J Child Neurol 2016;31:899–906. pmid:26823478
- 69. Finkel RS, Chiriboga CA, Vajsar J, Day JW, Montes J, De Vivo DC, et al. Treatment of infantile-onset spinal muscular atrophy with nusinersen: a phase 2, open-label, dose-escalation study. Lancet 2016;388:3017–26. pmid:27939059
- 70. Naryshkin NA, Weetall M, Dakka A, Narasimhan J, Zhao X, Feng Z, et al. SMN2 splicing modifiers improve motor function and longevity in mice with spinal muscular atrophy. Science 2014;345:688–93. pmid:25104390
- 71. Woll MG, Qi H, Turpoff A, Zhang N, Zhang X, Chen G, et al. Discovery and optimization of small molecule splicing modifiers of survival motor neuron 2 as a treatment for spinal muscular atrophy. J Med Chem 2016;59:6070–85. pmid:27299569
- 72. Ratni H, Karp GM, Weetall M, Naryshkin NA, Paushkin SV, Chen KS, et al. Specific correction of alternative survival motor neuron 2 splicing by small molecules: discovery of potential novel medicine to treat spinal muscular atrophy. J Med Chem 2016;59:6086–100. pmid:27299419