The mouse incisor is a valuable but under-utilized model organ for studying the behavior of adult stem cells. This remarkable tooth grows continuously throughout the animal's lifetime and houses two distinct epithelial stem cell niches called the labial and lingual cervical loop (laCL and liCL, respectively). These stem cells produce progeny that undergo a series of well-defined differentiation events en route to becoming enamel-producing ameloblasts. During this differentiation process, the progeny move out of the stem cell niche and migrate toward the distal tip of the tooth. Although the molecular pathways involved in tooth development are well documented, little is known about the roles of miRNAs in this process. We used microarray technology to compare the expression of miRNAs in three regions of the adult mouse incisor: the laCL, liCL, and ameloblasts. We identified 26 and 35 differentially expressed miRNAs from laCL/liCL and laCL/ameloblast comparisons, respectively. Out of 10 miRNAs selected for validation by qPCR, all transcripts were confirmed to be differentially expressed. In situ hybridization and target prediction analyses further supported the reliability of our microarray results. These studies point to miRNAs that likely play a role in the renewal and differentiation of adult stem cells during stem cell-fueled incisor growth.
Citation: Jheon AH, Li C-Y, Wen T, Michon F, Klein OD (2011) Expression of MicroRNAs in the Stem Cell Niche of the Adult Mouse Incisor. PLoS ONE 6(9): e24536. https://doi.org/10.1371/journal.pone.0024536
Editor: Songtao Shi, University of Southern California, United States of America
Received: July 11, 2011; Accepted: August 11, 2011; Published: September 8, 2011
Copyright: © 2011 Jheon 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.
Funding: The work was funded by R21-DE29977 and R01-DE021420 from the National Institute of Dental and Craniofacial Research (NIDCR) to O. D. Klein. 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.
Enamel, the outermost layer of teeth and the hardest substance in the mammalian body, is generated by specialized, epithelial-derived cells called ameloblasts. Along with dentin, enamel is one of two mineralized tissues of the tooth crown. Humans possess a limited ability to regenerate enamel due to the loss of ameloblasts upon tooth eruption and the absence of an ameloblast stem cell population. However, some mammals have teeth that grow continuously throughout life. This growth is made possible by the presence of epithelial and mesenchymal stem cells that have the capacity to self-renew and differentiate into ameloblasts and dentin-forming odontoblasts . One such case is the adult mouse incisor, which provides a valuable system for studying the molecular and cellular pathways that govern stem cell self-renewal and differentiation.
Tooth epithelial stem cells reside at the proximal end of the mouse incisor in niches called cervical loops (Fig. 1A) . Previous experiments have shown that epithelial progenitors in the labial cervical loop (laCL) give rise to transit-amplifying (T-A) cells that differentiate into ameloblasts as they migrate distally (Fig. 1A') , . The smaller cervical loop on the lingual side (liCL) is also presumed to contain epithelial stem cells, although these cells do not normally give rise to ameloblasts and enamel . Thus, the mouse incisor forms enamel only on the labial surface of the incisor. The mesenchymal compartment between the cervical loops contains the presumptive odontoblast stem cells, which have yet to be characterized (Fig. 1A'). Continuous incisor growth is counterbalanced by abrasion from occlusion of upper and lower incisors and material in the diet , .
(A) Cartoon depiction of the adult mouse incisor. (A') Three distinct regions of the adult mouse incisor were isolated for miRNA microarray analysis. liCL, lingual cervical loop; laCL, labial cervical loop; Am, ameloblasts. (B) The number of miRNA transcripts that showed greater than 1.5-fold differential expression (p<0.01) between liCL vs laCL, Am vs laCL, and Am vs liCL are shown. The total number of mouse miRNAs assayed was 458.
Recent studies indicate that subtle changes in the activity of major signaling pathways, such as those triggered by BMPs, FGFs, and Wnts, can have dramatic effects on incisor growth, thus demonstrating that the precise control of signaling levels is essential for proper generation of enamel . For example, the number of teeth and molar cusp shapes are affected when the BMP, FGF, and Wnt pathways are altered –, and changes in levels of the BMP/Activin and FGF signaling pathways affect the size, shape, and mineralization of the incisor , , , .
Small RNAs, and miRNAs in particular, have important effects on development and disease through modulation of specific signaling pathways –. miRNAs are endogenously expressed, short (∼21 nucleotides), non-coding RNA molecules that affect protein synthesis by posttranscriptional mechanisms , . miRNAs function in the form of ribonucleoproteins called miRISCs (miRNA-inducing silencing complexes), which comprise Argonaute and GW-182 (Glycine-tryptophan (GW) repeat containing protein of 182 kDa) family proteins , . miRISCs usually base-pair imperfectly, via component miRNAs, with the 3′UTR of target mRNAs following a set of rules that have been determined using bioinformatics and experimental analyses , . This interaction leads to the inhibition of protein synthesis and/or decrease in mRNA stability by disparate mechanisms , , . The processing of mature miRNAs, of which the most thermodynamically stable are bound to miRISCs, requires several steps. Primary miRNAs (pri-miRNAs) are usually transcribed by RNA polymerase II, folded into single or tandem hairpin structures, and are processed into single hairpins or precursor miRNA (pre-miRNA) by the RNAase III enzyme Drosha in the nucleus , . Pre-miRNAs are shuttled into the cytoplasm by Exportin-5 ,  and further processed by a second RNAase III enzyme Dicer , , which removes the loop part of the duplex, to generate mature miRNAs.
The involvement of miRNAs in various ectodermal tissues has been demonstrated in skin , , hair , and teeth –. During tooth development, the importance of miRNAs was demonstrated by the conditional inactivation of Dicer regulated by the expression of Cre recombinase under the Pitx2  and K14  promoters. Both Pitx2 and K14 are expressed specifically in tooth epithelium. The Pitx2-Cre;Dicer deleted mice showed a multiplication of the incisors with the absence of enamel, which demonstrated the importance of miRNAs in ameloblast differentiation as well as their role in the regulation of ameloblast stem cells . The K14-Cre;Dicer deleted mice showed milder changes in tooth shape, epithelial homeostasis, and enamel formation .
Here we report the identification and initial characterization of miRNAs that are differentially expressed during stem cell-fueled tooth renewal. By comparing three specific regions in the adult mouse incisor (laCL, which generates ameloblast stem cells; liCL, which contains stem cells that do not normally give rise to ameloblasts; and ameloblasts), we have identified miRNAs that may play a role in the self-renewal and differentiation of stem cells.
Identification of differentially expressed miRNAs
The adult mouse hemi-mandible contains a continuously growing incisor and three molar teeth (Fig. 1A). Although specific molecular pathways involved in tooth development have been well documented, little is known regarding the role of miRNAs in this process. Therefore, we set out to identify miRNAs that could be involved in the renewal and differentiation of ameloblast stem cells. We isolated three regions from the incisor (Fig. 1A'): the laCL, which comprises ameloblast stem cells; the liCL, which houses stem cells that do not normally give rise to ameloblasts and enamel; and pre- and secretory ameloblasts, which produce enamel.
Regions containing these cells, which are readily visible in K14-eGFP mice, were isolated by microdissection and then miRNA microarray analysis was performed. From a total of 458 mouse miRNAs assayed, we identified transcripts that were differentially expressed by more than 1.5-fold with adjusted p-values of less than 0.01 in the following pairwise comparisons: laCL/liCL, ameloblasts/laCL, and ameloblasts/liCL (Fig. 1B). Heat maps and fold-differences of the differentially expressed miRNAs in laCL/liCL (Fig. 2A,B) and ameloblasts/laCL (Fig. 3A,B) comparisons were produced. Many differentially expressed miRNAs were miRNA* (i.e. star strand) species, which are not well characterized.
(A) Heat map of miRNAs that are differentially expressed 1.5-fold (p<0.01) between laCL and liCL. (B) Bar graph showing fold changes.
(A) Heat map of miRNAs that are differentially expressed 1.5-fold (p<0.01) between Am and laCL. (B) Bar graph showing fold changes.
We reasoned that the laCL/liCL comparison would highlight the miRNAs involved in the renewal of ameloblast stem cells, whereas the ameloblast/laCL comparison would identify miRNAs involved in the progression of stem cells and their progeny towards terminal differentiation. miRNAs from the ameloblast/liCL comparison were not pursued for further study. Information about the differentially expressed miRNAs identified from laCL/liCL and ameloblasts/laCL comparisons is summarized in Tables S1 and S2 along with the relevant references in Supplemental References S1. With the exception of the miR-200 family (i.e. miR-141, -200a, -200b, -200c, -429) and miR-199b*, there was very little overlap in the differentially expressed miRNAs identified from laCL/liCL and ameloblasts/laCL comparisons.
Confirmation of differentially expressed miRNAs by real-time qPCR
From the differentially expressed miRNAs identified from laCL/liCL (Fig. 2) and ameloblasts/laCL (Fig. 3) comparisons, we selected 6 miRNAs from each comparison for confirmation by qPCR. The miRNAs were chosen based on high differential expression and included both those with increases and decreases in expression fold-differences. All the miRNAs assayed by qPCR were confirmed to be differentially expressed (Fig. 4), which validated the microarray approach. Thus, the array results for all differentially expressed miRNAs are expected to be accurate. From the laCL/liCL comparison, miR-31, -96, -182, -200c, -429 levels were increased, and miR-211 levels were decreased, in the laCL region compared to the liCL region (Fig. 4A). miR-138, -141, -200c, -429 were confirmed to be expressed highly, whereas miR-143, -145 levels were less abundant, in ameloblasts compared to the laCL region (Fig. 4B).
Locailization of miR-31 and miR-138 expression
miR-31 showed 14 to 18-fold higher expression in the laCL region compared to the liCL (Figs. 2, 4) and miR-138 showed 6 to 10-fold higher expression in ameloblasts compared to the laCL (Fig. 3, 4). In situ hybridization was performed on these two most differentially expressed miRNAs to determine their localization in the adult mouse incisor. miR-31 localized largely to the laCL, specifically in the region of the T-A cells, although there was also expression in the mesenchyme-derived dental papilla adjacent to the laCL and liCL (Fig. 5A). miR-138 was expressed in the laCL and ameloblasts, as well as in the dental papilla and odontoblasts, and miR-138 expression appeared to be higher in ameloblasts than in the laCL (Fig. 5B).
(A,B) Localization of miR-31 (A) and miR-138 (B) expression in the mouse adult incisor. Scale bars, 200 µm. (A',A″) Magnified views of miR-31 expression in the liCL (A') and laCL (A″) regions. (B,B″) Magnified views of miR-138 expression in the laCL region (B') and in the ameloblasts (Am, B″). Scale bars, 50 µm. Am, ameloblasts; DP, dental papilla; Od, odontoblasts; T-A, transit-amplifying cells.
Predicting gene targets
For each differentially expressed, array-identified miRNA, the predicted targets were retrieved from miRTooth1.0 database (Tables S3, S4) (http://bite-it.helsinki.fi/miRNA.htm). Only the predicted targets found in at least 2 out of 3 prediction databases were retained, similar to the strategy we have previously used .
Bioinformatic target analysis demonstrated the validity of the microarray experiments on a larger scale than the focused qPCR confirmations and in situ hybridization analyses. First, the miRNAs enriched in each region (laCL, liCL or ameloblasts) were predicted to target distinct sets of genes (Tables S3, S4). For example, 67% of the miRNAs in ameloblasts, compared to 9% of miRNAs in the laCL, target components of the FGF pathway, an important pathway in both tooth development and in the homeostasis of the stem cell niche , . In addition, Sprouty2 (Spry2), an antagonist of FGF signaling, is a potential target of miRNAs enriched in the laCL from all 3 databases. Second, laCL and liCL populations, but not ameloblasts, are enriched for miRNAs that target amelogenin and ameloblastin, two essential matrix proteins in enamel development in mice and humans , . Third, the regulation of extracellular matrix components appears to be more extensive in ameloblasts, which secrete enamel matrix, compared to the laCL (58% vs. 18%, respectively).
The continuously growing mouse incisor provides a valuable model system to study adult stem cells. A single incisor contains two different epithelial stem cell niches, called the laCL and liCL, which are both derived from oral epithelium and surrounded by dental mesenchyme. Of these two niches, only the laCL generates enamel-forming ameloblasts. Therefore, we hypothesized that molecular profiling of the laCL and liCL, as well as the ameloblast region, would shed light on the renewal and differentiation of ameloblast stem cells.
miRNAs are important regulators of signaling pathways during morphogenesis and organogenesis, as well as in the control of embryonic and adult stem cells . The importance of Dicer and miRNAs during tooth development has been demonstrated , , , but there has been relatively little progress in the identification and characterization of the roles of specific miRNAs. Such molecular characterization of dental stem cells may one day help us to repair and regenerate human teeth.
The miRNA microarray analysis from laCL, liCL, and ameloblasts yielded numerous differentially expressed miRNA transcripts (Figs. 2, 3). All 10 miRNAs that we chose for validation by qPCR were indeed differentially expressed in the laCL/liCL and ameloblast/laCL comparisons at levels consistent with the microarray data (Fig. 4). Because the laCL, liCL, and ameloblast regions isolated from the incisor included mesenchyme-derived tissues, we selected two of the highest differentially expressed genes (i.e. miR-31, -138) for in situ hybridization analysis. Our results showed high expression of miR-31 in the laCL and miR-138 in ameloblasts, consistent with the microarray and qPCR analyses.
miR-31 was previously reported to be involved in the cycling of ectoderm-derived hair cells . Because the hair stem cell niche shares many characteristics with the laCL , , it is likely that miR-31 will also play a role in the renewal of stem cells during continuous incisor growth. Interestingly, Fgf10 was previously identified as a direct target of antagonism by miR-31 . Fgf10 is expressed largely in the dental papilla adjacent to the laCL , , . Fgf10 is required for tooth stem cell survival , and its inactivation leads to the formation of smaller teeth , , whereas upregulation of Fgf10 is associated with the generation of supernumerary teeth and ectopic enamel , . Taking into account the high expression of miR-31 in the ectoderm-derived laCL, it is possible that miR-31 may play a role in fine-tuning Fgf10 levels in the dental papilla. Further experiments will be required to study the interaction between miR-31 and Fgf10 during continuous tooth growth.
miR-138, whose expression is correlated with many different types of cancers and diseases, is also involved in cardiac patterning, specifically through the regulation of expression of genes such as aldehyde dehydrogenase (Aldh) -1a2 and versican . Because Aldh1 is a marker of stem cells in certain contexts  and versican is a secreted extracellular matrix protein that is present in many mineralized tissues including the dental epithelium of developing tooth germs , miR-138 may be involved in the differentiation of stem cells towards enamel matrix-secreting ameloblasts.
Members of the miR-200 family (i.e. miR-200a, -200b, -200c, -141, -429) were differentially expressed in both laCL/liCL and laCL/ameloblast comparisons. These transcripts along with miR-199b* were the only miRNAs that were differentially expressed in both comparisons, demonstrating the potential importance of specific subsets of miRNAs in the renewal vs. differentiation of tooth stem cells.
Interestingly, many of the microarray-identified, differentially expressed miRNAs were miRNA* (i.e. star strand) species. The ∼21-nucleotide, obligate intermediate miRNA:miRNA* duplex associates with the Argonaute protein in miRISCs, such that the miRNA strand is usually the one that becomes stably incorporated, whereas the miRNA* strand dissociates and is thought to be degraded . Thus, by convention, the mature miRNA is defined as the duplex strand that is present at the higher steady-state level than its miRNA* partner strand. However, Yang et al.  recently demonstrated that miRNA* species, rather than simply being the by-product of non-incorporation into miRISCs, also could directly repress translation and/or mRNA stability by specific binding to the 3′-UTR of genes. Further, the target seed sequence, which is a conserved heptametrical sequence that is essential for the binding of the miRNA to the mRNA, was evolutionarily conserved in miRNA* species . Thus, it will be of interest to determine the function of the identified miRNA* species during stem cell renewal and differentiation.
Together, our analyses utilizing microarray technology, qPCR, in situ hybridization, and target prediction tools have uncovered miRNAs that may play important roles in stem cell-based renewal of teeth.
Materials and Methods
Animals and isolation of tissues
K14-eGFP transgenic mice  were maintained and genotyped as previously reported. All experiments were approved by the Institutional Animal Care and Use Committee (IACUC) at the University of California San Francisco (Protocol # AN078624). Six-week old male mice were sacrificed, and the laCL, liCL, and ameloblast regions were microdissected under a LeicaMZ16F Fluorescence Stereomicroscope.
miRNAs were extracted using the miRNeasy kit (Qiagen) following manufacturer's protocol.
Heads from 6-week old mice were fixed for 48 h in 4% paraformaldehyde at 4°C, cut in half along the midline, demineralized in 0.5M EDTA for 2 weeks, dehydrated, embedded in paraffin wax, and serially sectioned at 7 µm.
Microarray and differential expression analysis
Probe labeling and array hybridizations were performed according to standard protocols from the UCSF Shared Microarray Core Facilities and Agilent Technologies (http://www.arrays.ucsf.edu and http://www.agilent.com). miRNA quality was assessed using a Pico Chip on an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA). RNA was amplified and labeled with Cy3-CTP using the Agilent low RNA input fluorescent linear amplification kits following the manufacturer's protocol (Agilent). Labeled cRNA was assessed using the Nandrop ND-100 (Nanodrop Technologies, Inc., Wilmington DE), and equal amounts of Cy3 labeled target were hybridized to custom v3.1 multi-species 8×15k miRNA arrays (Agilent). Hybridizations were performed for 14 hours, according to the manufacturer's protocol. Arrays were scanned using a microarray scanner and raw signal intensities were extracted with Feature Extraction v10.3 software (Agilent).
Raw log-intensities were normalized using the quantile normalization method proposed by Bolstad et al. . No background subtraction was performed, and the median feature pixel intensity was used as the raw signal before normalization. A two-way ANOVA model and specific contrasts were formulated to examine comparisons between treatments (wild-type versus Perp-null). Moderated t-statistic, B statistic, false discovery rate, and p-value for each gene were obtained. Adjusted p-values were produced by the method proposed by Holm . All procedures were carried out using functions in the “R” package limma in Bioconductor , . Heat maps were generated using Cluster 3.0 and MapleTree 12.0.0.
All data is MIAME compliant and raw data has been deposited in the Gene Expression Omnibus (GEO) database with accession number GSE30598.
cDNA was generated from miRNA using the miRCURY Universal cDNA synthesis kit (Exiqon). qPCR analysis was performed using Locked Nucleic Acid (LNA) primer sets (Exiqon) specific for miR-31, -96, -138, -141, -143, -145, -182, 200c, -211, -429, 5s rRNA and the SBYR Green Master Mix (Exiqon). qPCR reaction conditions were as follows: 95°C, 10 min; 40 cycles of 95°C, 10 s and 60°C, 1 min. Levels of miRNA were normalized to 5s rRNA (Exiqon).
In situ hybridization
In situ hybridization was performed on paraffin sections essentially as described  except that DIG-labeled LNA probes specific for miR-31 and miR-138 (Exiqon) were hybridized using microRNA ISH buffer (Exiqon).
miRNA target genes prediction
Summary of differentially expressed miRNAs in laCL and liCL.
Summary of differentially expressed miRNAs in Am vs laCL.
Predicted targets of differentially expressed miRNAs identified from the laCL/liCL comparison.
Predicted targets of differentially expressed miRNAs identified from the ameloblast/laCL comparison.
We thank the members of the Klein lab and Drs. Julia Pak and Brian Biehs for their technical assistance and discussions; and Andrea Barczak and the UCSF Shared Microarray Core Facilities for help with experiments and data analysis.
Conceived and designed the experiments: AHJ C-YL ODK. Performed the experiments: AHJ C-YL TW FM ODK. Analyzed the data: AHJ C-YL TW FM ODK. Contributed reagents/materials/analysis tools: FM. Wrote the paper: AHJ C-YL TW FM ODK. Designed software used in analysis: FM.
- 1. Harada H, Kettunen P, Jung HS, Mustonen T, Wang YA, et al. (1999) Localization of putative stem cells in dental epithelium and their association with Notch and FGF signaling. J Cell Biol 147: 105–120.H. HaradaP. KettunenHS JungT. MustonenYA Wang1999Localization of putative stem cells in dental epithelium and their association with Notch and FGF signaling.J Cell Biol147105120
- 2. Seidel K, Ahn CP, Lyons D, Nee A, Ting K, et al. (2010) Hedgehog signaling regulates the generation of ameloblast progenitors in the continuously growing mouse incisor. Development 137: 3753–3761.K. SeidelCP AhnD. LyonsA. NeeK. Ting2010Hedgehog signaling regulates the generation of ameloblast progenitors in the continuously growing mouse incisor.Development13737533761
- 3. Klein OD, Lyons DB, Balooch G, Marshall GW, Basson MA, et al. (2008) An FGF signaling loop sustains the generation of differentiated progeny from stem cells in mouse incisors. Development 135: 377–385.OD KleinDB LyonsG. BaloochGW MarshallMA Basson2008An FGF signaling loop sustains the generation of differentiated progeny from stem cells in mouse incisors.Development135377385
- 4. Wang XP, Suomalainen M, Felszeghy S, Zelarayan LC, Alonso MT, et al. (2007) An integrated gene regulatory network controls stem cell proliferation in teeth. PLoS Biol 5: e159.XP WangM. SuomalainenS. FelszeghyLC ZelarayanMT Alonso2007An integrated gene regulatory network controls stem cell proliferation in teeth.PLoS Biol5e159
- 5. Tummers M, Thesleff I (2009) The importance of signal pathway modulation in all aspects of tooth development. J Exp Zool B Mol Dev Evol 312B: 309–319.M. TummersI. Thesleff2009The importance of signal pathway modulation in all aspects of tooth development.J Exp Zool B Mol Dev Evol312B309319
- 6. Klein OD, Minowada G, Peterkova R, Kangas A, Yu BD, et al. (2006) Sprouty genes control diastema tooth development via bidirectional antagonism of epithelial-mesenchymal FGF signaling. Dev Cell 11: 181–190.OD KleinG. MinowadaR. PeterkovaA. KangasBD Yu2006Sprouty genes control diastema tooth development via bidirectional antagonism of epithelial-mesenchymal FGF signaling.Dev Cell11181190
- 7. Jarvinen E, Salazar-Ciudad I, Birchmeier W, Taketo MM, Jernvall J, et al. (2006) Continuous tooth generation in mouse is induced by activated epithelial Wnt/beta-catenin signaling. Proc Natl Acad Sci U S A 103: 18627–18632.E. JarvinenI. Salazar-CiudadW. BirchmeierMM TaketoJ. Jernvall2006Continuous tooth generation in mouse is induced by activated epithelial Wnt/beta-catenin signaling.Proc Natl Acad Sci U S A1031862718632
- 8. Kassai Y, Munne P, Hotta Y, Penttila E, Kavanagh K, et al. (2005) Regulation of mammalian tooth cusp patterning by ectodin. Science 309: 2067–2070.Y. KassaiP. MunneY. HottaE. PenttilaK. Kavanagh2005Regulation of mammalian tooth cusp patterning by ectodin.Science30920672070
- 9. Munne PM, Felszeghy S, Jussila M, Suomalainen M, Thesleff I, et al. (2010) Splitting placodes: effects of bone morphogenetic protein and Activin on the patterning and identity of mouse incisors. Evol Dev 12: 383–392.PM MunneS. FelszeghyM. JussilaM. SuomalainenI. Thesleff2010Splitting placodes: effects of bone morphogenetic protein and Activin on the patterning and identity of mouse incisors.Evol Dev12383392
- 10. Munne PM, Tummers M, Jarvinen E, Thesleff I, Jernvall J (2009) Tinkering with the inductive mesenchyme: Sostdc1 uncovers the role of dental mesenchyme in limiting tooth induction. Development 136: 393–402.PM MunneM. TummersE. JarvinenI. ThesleffJ. Jernvall2009Tinkering with the inductive mesenchyme: Sostdc1 uncovers the role of dental mesenchyme in limiting tooth induction.Development136393402
- 11. Pirvola U, Spencer-Dene B, Xing-Qun L, Kettunen P, Thesleff I, et al. (2000) FGF/FGFR-2(IIIb) signaling is essential for inner ear morphogenesis. J Neurosci 20: 6125–6134.U. PirvolaB. Spencer-DeneL. Xing-QunP. KettunenI. Thesleff2000FGF/FGFR-2(IIIb) signaling is essential for inner ear morphogenesis.J Neurosci2061256134
- 12. Wang XP, Suomalainen M, Jorgez CJ, Matzuk MM, Wankell M, et al. (2004) Modulation of activin/bone morphogenetic protein signaling by follistatin is required for the morphogenesis of mouse molar teeth. Dev Dyn 231: 98–108.XP WangM. SuomalainenCJ JorgezMM MatzukM. Wankell2004Modulation of activin/bone morphogenetic protein signaling by follistatin is required for the morphogenesis of mouse molar teeth.Dev Dyn23198108
- 13. Wang XP, Suomalainen M, Jorgez CJ, Matzuk MM, Werner S, et al. (2004) Follistatin regulates enamel patterning in mouse incisors by asymmetrically inhibiting BMP signaling and ameloblast differentiation. Dev Cell 7: 719–730.XP WangM. SuomalainenCJ JorgezMM MatzukS. Werner2004Follistatin regulates enamel patterning in mouse incisors by asymmetrically inhibiting BMP signaling and ameloblast differentiation.Dev Cell7719730
- 14. Lewis MA, Steel KP (2010) MicroRNAs in mouse development and disease. Semin Cell Dev Biol 21: 774–780.MA LewisKP Steel2010MicroRNAs in mouse development and disease.Semin Cell Dev Biol21774780
- 15. Park CY, Choi YS, McManus MT (2010) Analysis of microRNA knockouts in mice. Hum Mol Genet 19: R169–175.CY ParkYS ChoiMT McManus2010Analysis of microRNA knockouts in mice.Hum Mol Genet19R169175
- 16. Michon F (2011) Tooth evolution and dental defects: From genetic regulation network to micro-RNA fine-tuning. Birth Defects Res A Clin Mol Teratol. F. Michon2011Tooth evolution and dental defects: From genetic regulation network to micro-RNA fine-tuning.Birth Defects Res A Clin Mol Teratol
- 17. Fabian MR, Sonenberg N, Filipowicz W (2010) Regulation of mRNA translation and stability by microRNAs. Annu Rev Biochem 79: 351–379.MR FabianN. SonenbergW. Filipowicz2010Regulation of mRNA translation and stability by microRNAs.Annu Rev Biochem79351379
- 18. Winter J, Jung S, Keller S, Gregory RI, Diederichs S (2009) Many roads to maturity: microRNA biogenesis pathways and their regulation. Nat Cell Biol 11: 228–234.J. WinterS. JungS. KellerRI GregoryS. Diederichs2009Many roads to maturity: microRNA biogenesis pathways and their regulation.Nat Cell Biol11228234
- 19. Chekulaeva M, Filipowicz W (2009) Mechanisms of miRNA-mediated post-transcriptional regulation in animal cells. Curr Opin Cell Biol 21: 452–460.M. ChekulaevaW. Filipowicz2009Mechanisms of miRNA-mediated post-transcriptional regulation in animal cells.Curr Opin Cell Biol21452460
- 20. Eulalio A, Huntzinger E, Izaurralde E (2008) Getting to the root of miRNA-mediated gene silencing. Cell 132: 9–14.A. EulalioE. HuntzingerE. Izaurralde2008Getting to the root of miRNA-mediated gene silencing.Cell132914
- 21. Bartel DP (2009) MicroRNAs: target recognition and regulatory functions. Cell 136: 215–233.DP Bartel2009MicroRNAs: target recognition and regulatory functions.Cell136215233
- 22. Chiang HR, Schoenfeld LW, Ruby JG, Auyeung VC, Spies N, et al. (2010) Mammalian microRNAs: experimental evaluation of novel and previously annotated genes. Genes Dev 24: 992–1009.HR ChiangLW SchoenfeldJG RubyVC AuyeungN. Spies2010Mammalian microRNAs: experimental evaluation of novel and previously annotated genes.Genes Dev249921009
- 23. Filipowicz W, Bhattacharyya SN, Sonenberg N (2008) Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet 9: 102–114.W. FilipowiczSN BhattacharyyaN. Sonenberg2008Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight?Nat Rev Genet9102114
- 24. Han J, Lee Y, Yeom KH, Nam JW, Heo I, et al. (2006) Molecular basis for the recognition of primary microRNAs by the Drosha-DGCR8 complex. Cell 125: 887–901.J. HanY. LeeKH YeomJW NamI. Heo2006Molecular basis for the recognition of primary microRNAs by the Drosha-DGCR8 complex.Cell125887901
- 25. Lee Y, Ahn C, Han J, Choi H, Kim J, et al. (2003) The nuclear RNase III Drosha initiates microRNA processing. Nature 425: 415–419.Y. LeeC. AhnJ. HanH. ChoiJ. Kim2003The nuclear RNase III Drosha initiates microRNA processing.Nature425415419
- 26. Lund E, Guttinger S, Calado A, Dahlberg JE, Kutay U (2004) Nuclear export of microRNA precursors. Science 303: 95–98.E. LundS. GuttingerA. CaladoJE DahlbergU. Kutay2004Nuclear export of microRNA precursors.Science3039598
- 27. Yi R, Qin Y, Macara IG, Cullen BR (2003) Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs. Genes Dev 17: 3011–3016.R. YiY. QinIG MacaraBR Cullen2003Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs.Genes Dev1730113016
- 28. Doi N, Zenno S, Ueda R, Ohki-Hamazaki H, Ui-Tei K, et al. (2003) Short-interfering-RNA-mediated gene silencing in mammalian cells requires Dicer and eIF2C translation initiation factors. Curr Biol 13: 41–46.N. DoiS. ZennoR. UedaH. Ohki-HamazakiK. Ui-Tei2003Short-interfering-RNA-mediated gene silencing in mammalian cells requires Dicer and eIF2C translation initiation factors.Curr Biol134146
- 29. Lund E, Dahlberg JE (2006) Substrate selectivity of exportin 5 and Dicer in the biogenesis of microRNAs. Cold Spring Harb Symp Quant Biol 71: 59–66.E. LundJE Dahlberg2006Substrate selectivity of exportin 5 and Dicer in the biogenesis of microRNAs.Cold Spring Harb Symp Quant Biol715966
- 30. Yi R, O'Carroll D, Pasolli HA, Zhang Z, Dietrich FS, et al. (2006) Morphogenesis in skin is governed by discrete sets of differentially expressed microRNAs. Nat Genet 38: 356–362.R. YiD. O'CarrollHA PasolliZ. ZhangFS Dietrich2006Morphogenesis in skin is governed by discrete sets of differentially expressed microRNAs.Nat Genet38356362
- 31. Yi R, Poy MN, Stoffel M, Fuchs E (2008) A skin microRNA promotes differentiation by repressing ‘stemness’. Nature 452: 225–229.R. YiMN PoyM. StoffelE. Fuchs2008A skin microRNA promotes differentiation by repressing ‘stemness’.Nature452225229
- 32. Andl T, Murchison EP, Liu F, Zhang Y, Yunta-Gonzalez M, et al. (2006) The miRNA-processing enzyme dicer is essential for the morphogenesis and maintenance of hair follicles. Curr Biol 16: 1041–1049.T. AndlEP MurchisonF. LiuY. ZhangM. Yunta-Gonzalez2006The miRNA-processing enzyme dicer is essential for the morphogenesis and maintenance of hair follicles.Curr Biol1610411049
- 33. Cao H, Wang J, Li X, Florez S, Huang Z, et al. (2010) MicroRNAs play a critical role in tooth development. J Dent Res 89: 779–784.H. CaoJ. WangX. LiS. FlorezZ. Huang2010MicroRNAs play a critical role in tooth development.J Dent Res89779784
- 34. Jevnaker AM, Osmundsen H (2008) MicroRNA expression profiling of the developing murine molar tooth germ and the developing murine submandibular salivary gland. Arch Oral Biol 53: 629–645.AM JevnakerH. Osmundsen2008MicroRNA expression profiling of the developing murine molar tooth germ and the developing murine submandibular salivary gland.Arch Oral Biol53629645
- 35. Michon F, Tummers M, Kyyronen M, Frilander MJ, Thesleff I (2010) Tooth morphogenesis and ameloblast differentiation are regulated by micro-RNAs. Dev Biol 340: 355–368.F. MichonM. TummersM. KyyronenMJ FrilanderI. Thesleff2010Tooth morphogenesis and ameloblast differentiation are regulated by micro-RNAs.Dev Biol340355368
- 36. Huang X, Xu S, Gao J, Liu F, Yue J, et al. (2011) miRNA expression profiling identifies DSPP regulators in cultured dental pulp cells. Int J Mol Med. X. HuangS. XuJ. GaoF. LiuJ. Yue2011miRNA expression profiling identifies DSPP regulators in cultured dental pulp cells.Int J Mol Med
- 37. Harada H, Toyono T, Toyoshima K, Ohuchi H (2002) FGF10 maintains stem cell population during mouse incisor development. Connect Tissue Res 43: 201–204.H. HaradaT. ToyonoK. ToyoshimaH. Ohuchi2002FGF10 maintains stem cell population during mouse incisor development.Connect Tissue Res43201204
- 38. Harada H, Toyono T, Toyoshima K, Yamasaki M, Itoh N, et al. (2002) FGF10 maintains stem cell compartment in developing mouse incisors. Development 129: 1533–1541.H. HaradaT. ToyonoK. ToyoshimaM. YamasakiN. Itoh2002FGF10 maintains stem cell compartment in developing mouse incisors.Development12915331541
- 39. Hu JC, Chun YH, Al Hazzazzi T, Simmer JP (2007) Enamel formation and amelogenesis imperfecta. Cells Tissues Organs 186: 78–85.JC HuYH ChunT. Al HazzazziJP Simmer2007Enamel formation and amelogenesis imperfecta.Cells Tissues Organs1867885
- 40. Stephanopoulos G, Garefalaki ME, Lyroudia K (2005) Genes and related proteins involved in amelogenesis imperfecta. J Dent Res 84: 1117–1126.G. StephanopoulosME GarefalakiK. Lyroudia2005Genes and related proteins involved in amelogenesis imperfecta.J Dent Res8411171126
- 41. Yi R, Fuchs E (2011) MicroRNAs and their roles in mammalian stem cells. J Cell Sci 124: 1775–1783.R. YiE. Fuchs2011MicroRNAs and their roles in mammalian stem cells.J Cell Sci12417751783
- 42. Mardaryev AN, Ahmed MI, Vlahov NV, Fessing MY, Gill JH, et al. (2010) Micro-RNA-31 controls hair cycle-associated changes in gene expression programs of the skin and hair follicle. FASEB J 24: 3869–3881.AN MardaryevMI AhmedNV VlahovMY FessingJH Gill2010Micro-RNA-31 controls hair cycle-associated changes in gene expression programs of the skin and hair follicle.FASEB J2438693881
- 43. Mitsiadis TA, Barrandon O, Rochat A, Barrandon Y, De Bari C (2007) Stem cell niches in mammals. Exp Cell Res 313: 3377–3385.TA MitsiadisO. BarrandonA. RochatY. BarrandonC. De Bari2007Stem cell niches in mammals.Exp Cell Res31333773385
- 44. Kettunen P, Laurikkala J, Itaranta P, Vainio S, Itoh N, et al. (2000) Associations of FGF-3 and FGF-10 with signaling networks regulating tooth morphogenesis. Dev Dyn 219: 322–332.P. KettunenJ. LaurikkalaP. ItarantaS. VainioN. Itoh2000Associations of FGF-3 and FGF-10 with signaling networks regulating tooth morphogenesis.Dev Dyn219322332
- 45. Morton SU, Scherz PJ, Cordes KR, Ivey KN, Stainier DY, et al. (2008) microRNA-138 modulates cardiac patterning during embryonic development. Proc Natl Acad Sci U S A 105: 17830–17835.SU MortonPJ ScherzKR CordesKN IveyDY Stainier2008microRNA-138 modulates cardiac patterning during embryonic development.Proc Natl Acad Sci U S A1051783017835
- 46. Ma I, Allan AL (2011) The role of human aldehyde dehydrogenase in normal and cancer stem cells. Stem Cell Rev 7: 292–306.I. MaAL Allan2011The role of human aldehyde dehydrogenase in normal and cancer stem cells.Stem Cell Rev7292306
- 47. Jiang BZ, Yokohama-Tamaki T, Wang ZL, Obara N, Shibata S (2010) Expression, localisation and synthesis of versican by the enamel organ of developing mouse molar tooth germ: an in vivo and in vitro study. Arch Oral Biol 55: 995–1006.BZ JiangT. Yokohama-TamakiZL WangN. ObaraS. Shibata2010Expression, localisation and synthesis of versican by the enamel organ of developing mouse molar tooth germ: an in vivo and in vitro study.Arch Oral Biol559951006
- 48. Yang JS, Phillips MD, Betel D, Mu P, Ventura A, et al. (2011) Widespread regulatory activity of vertebrate microRNA* species. RNA 17: 312–326.JS YangMD PhillipsD. BetelP. MuA. Ventura2011Widespread regulatory activity of vertebrate microRNA* species.RNA17312326
- 49. Huelsken J, Vogel R, Erdmann B, Cotsarelis G, Birchmeier W (2001) beta-Catenin controls hair follicle morphogenesis and stem cell differentiation in the skin. Cell 105: 533–545.J. HuelskenR. VogelB. ErdmannG. CotsarelisW. Birchmeier2001beta-Catenin controls hair follicle morphogenesis and stem cell differentiation in the skin.Cell105533545
- 50. Bolstad BM, Irizarry RA, Astrand M, Speed TP (2003) A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19: 185–193.BM BolstadRA IrizarryM. AstrandTP Speed2003A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.Bioinformatics19185193
- 51. Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stats 6: 65–70.S. Holm1979A simple sequentially rejective multiple test procedure.Scand J Stats66570
- 52. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, et al. (2004) Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 5: R80.RC GentlemanVJ CareyDM BatesB. BolstadM. Dettling2004Bioconductor: open software development for computational biology and bioinformatics.Genome Biol5R80
- 53. Smyth GK (2004) Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol 3: Article3.GK Smyth2004Linear models and empirical bayes methods for assessing differential expression in microarray experiments.Stat Appl Genet Mol Biol3Article3