- Research article
- Open Access
miR-487b, miR-3963 and miR-6412 delay myogenic differentiation in mouse myoblast-derived C2C12 cells
© Katase et al.; licensee BioMed Central. 2016
- Received: 25 November 2014
- Accepted: 22 April 2015
- Published: 30 April 2015
The Erratum to this article has been published in BMC Cell Biology 2016 17:9
Skeletal muscle differentiation is a multistep, complex pathway in which several important signaling molecules are involved. Recently, microRNAs (miRNAs), endogenous non-coding small RNAs that regulate mRNAs, have been proposed to be involved in skeletal muscle differentiation. In this study, we identified skeletal muscle differentiation-associated miRNAs by comparing miRNA expression profiles between C2C12 cells and Wnt4 over-expressing C2C12 cells (W4-08), which can spontaneously differentiate into myotubes.
We identified miR-206, miR-133a, and miR-133b as up-regulated miRNAs and miR-487b, miR-3963 and miR-6412 as down-regulated miRNAs in differentiating cells. We focused on the down-regulated miRNAs because their functions were largely unknown. Transfection of mimics of these miRNAs into C2C12 cells resulted in significantly reduced expression of myogenic differentiation markers, including troponin T and myosin heavy chain fast type and slow type, but did not affect the expression of the myogenic transcription factors, MyoD and myogenin.
These miRNAs were characterized as new myogenic differentiation-associated miRNAs which may delay late myogenic differentiation or maturation.
- Microrna (miRNA)
- myoblast-derived cell
- Skeletal muscle
- Myogenic differentiation
Skeletal muscle development is complex, involving several signaling pathways. Skeletal muscles are formed from somites, which are derived from paraxial mesoderm. Somites form initially as somitomeres, and after the epithelization process, they form mesenchymal sclerotome and dermomyotome. Mesodermal cells are selected to form myoblasts and subsequently differentiate into myotubes . The molecular mechanism determining myogenesis was recently identified. The Wnt protein plays crucial roles in the development of skeletal muscle. Indeed, skeletal muscle is formed from paraxial mesoderm under the influence of signals from the neural tube and dorsal ectoderm, including Wnt proteins and BMP4 signaling, and myogenic cell fate is determined by intrinsic factors, MyoD and Myf5 [2-5]. The diverse Wnt members function differently. For example, Wnt1 expression preferentially activates Myf5, while Wnt7a-expressing cells activate MyoD, and Wnt4, Wnt5a and Wnt6 can activate both Myf5 and MyoD . Wnt1, Wnt 3a and Wnt 5a induce the proliferation of satellite cells, a source of myoblasts .
Wnt4 over-expression in mouse myoblast-derived C2C12 cells induces hypertrophy of myotubes. Wnt4 over-expression in the presumptive limb field of the chick embryo results in up-regulation of PAX7 and MyoD, and increased skeletal muscle mass. Wnt4 over-expression in C2C12 cells induces an increase in fast-type myosin heavy chain (MyHC) expression. Moreover, Wnt4 is reported to negatively regulate myostatin [8,9]. Therefore Wnt4 is thought to possess myogenic activity.
Previously, we generated a Wnt4-over-expressing cell line from C2C12 cells, W4-08 . C2C12 cells can differentiate into myotubes under reduced mitogen conditions, while W4-08 cells can spontaneously differentiate into myotubes even in proliferative conditions. We investigated the factors that specifically affect myogenic differentiation by comparing this Wnt4-over-expressing cell line with its parental C2C12 cell line.
MicroRNAs (miRNAs) are small, endogenous non-coding RNAs consisting of approximately 22 nucleotides that regulate mRNA expression by binding to complementary sequences of the mRNA leading to cleavage or translational repression . These small single strand miRNAs target one or more mRNAs and play important roles in cell embryogenesis, cell differentiation, carcinogenesis and apoptosis . Recently, involvement of miRNAs in skeletal muscle differentiation has been indicated .
Therefore, we searched for specific miRNAs that are involved in myogenic differentiation, and our miRNA microarray data demonstrated two novel miRNAs, miR-487b, miR-3963 and miR-6412 that are specifically down-regulated in C2C12 cells cultured in differentiation medium.
Transfection of the mimics of these miRNAs resulted in decreased expression of the myogenic markers, troponin T and myosin heavy chain (MyHC), suggesting delayed myogenic differentiation. Our results suggest that miR-487b, miR-3963 and miR-6412 are novel muscle-specific miRNAs that may function as negative regulators of skeletal muscle differentiation.
miRNA microarray analysis
We compared the miRNA expression profiles of C2C12-PR cells (C2C12 cells grown in proliferation medium) vs. W4-08 cells (Wnt4-over-expressing C2C12 cells) cultured in proliferation medium. W4-08 cells can differentiate into myotubes even in proliferative conditions. We identified 161 miRNAs to be up-regulated, including miR-206, miR-133b and miR-133a (by 5.84, 5.46 and 5.37 fold in log2 ratio, respectively), while only miR-487b, miR-6412 and miR-3963 were down-regulated by about −1.00 in log2 ratio (−1.70, −0.96 and −0.93 fold in log2 ratio, respectively). The expression of these up- and down-regulated miRNAs were also commonly altered when expression in C2C12-PR vs. C2C12-DF cells (C2C12 cells grown in differentiation medium) was compared; 42 miRNAs were up-regulated with miR-206, miR-133b and miR-133a being commonly up-regulated (2.21, 1.68 and 1.63 fold in log2 ratio, respectively), and miR-487b, miR-6412 and miR-3963 were down-regulated (−1.98, −2.99 and −2.13 fold in log 2 ratio, respectively). (see Gene Expression Omnibus (GEO) at NCBI with accession number GSE63454.)
Therefore, we focused on miR-206, miR-133a, miR-133b, miR-487b, miR-6412 and miR-3963 as a potential myogenic differentiation-related miRNAs, and the effect of transfection of these miRNAs on cell differentiation was assessed.
The effect of miRNA transfection on C2C12 differentiation
miR-487b, miR-3963 and miR-6412 significantly suppress expression of troponin T
miRNA mimic transfection and MyoD and myogenin expression in C2C12 cell
Skeletal muscle differentiation is a multistep pathway in which several signaling molecules are implicated. In particular, Wnt signaling plays important roles in myogenic commitment and differentiation. The formation of skeletal muscle from paraxial mesoderm is influenced by signals from the neural tube and dorsal ectoderm, including Wnt4 and BMP4 . And in adult skeletal muscle, several Wnt members including Wnt1, Wnt3, Wnt5a and Wnt7a are required for proliferation and differentiation of satellite cells during myotube turnover [5,7]. Previously we established the W4-08 cell line, which stably over-expresses Wnt4 and spontaneously differentiates into myotubes even in mitogen rich medium. Comparison of gene expression profiles between W4-08 cells and its parental cell line, C2C12, may be informative for the understanding of myogenesis-related molecules. Recently, involvement of miRNAs in skeletal muscle differentiation has been debated. For example, miR-1, miR-206, miR-133 [13,14] are known as muscle-specific miRNAs. Additionally, miR-23a , miR-24 , miR-26 , miR-27a [18,19], miR-27b , miR-29 , miR-124 , miR-128a , miR-146b , miR-148a , miR-155 , miR-181 , miR-199 , miR-186 , miR-214 , miR-221/222 , miR-351 , miR-486 , miR-489 , miR-499  and miR-3906  are reported to be involved in skeletal myogenesis. miRNAs can either inhibit or promote myogenesis, depending on their target mRNAs.
We found that miR-206, miR-133a, miR-133b were up-regulated, and miR-487b, miR-3963, and miR-6412 were down-regulated during myogenic differentiation. Consistent with our previous report, transfection of miR-206, and miR-133a resulted in significantly higher troponin T expression. However, miR-206, 133a and 133b did not affect the expression of slow type or fast type MyHC. We used miR-1 as a positive control, which was as assayed by the down-regulation of the PTK9 target gene (Additional file: 1 Figure S1). Transfection of miR-1 also showed significantly higher troponin T expression because miR-1 also regulates proliferation and differentiation of myoblast cells by targeting the transcription of HDAC4 . However, these miRNAs, which were significantly up-regulated in W4-08 cells, did not affect slow type or fast type MyHC, suggesting that these miRNAs are not significantly associated with the late muscle differentiation step.
In this study, we identified miR-486b, miR-3963 and miR-6412 as novel myogenic differentiation-related miRNAs, the functions of which are largely unknown. Transfection of these miRNAs resulted in reduced expression of myogenic differentiation markers, particularly in the late myogenic differentiation stage. However, involvement of these miRNAs in myogenic commitment or differentiation has not been reported. Moreover, no reports have been published on the function of miR-3963 or miR-6412. Some reports suggested that miR-487b is associated with several kinds of pathological condition. miR-487b is commonly and severely down-regulated in prostate cancer cell lines, suggesting that miR-487b may function as a tumor suppressor that regulates cell proliferation, apoptosis, migration and invasion . Furthermore, miR-487b expression is significantly associated with disease-free survival of non-MYCN-amplified favorable neuroblastoma [38,39]. miR-487b also promotes epithelial-mesenchymal transition in lung adenocarcinoma cell , while several other reports imply roles of miR-487b in cellular proliferation. miR-487b is predicted to target insulin receptor-like substrate, down-regulation of which may impair skeletal muscle growth [41,42]. Xi et al reported that miR-487b directly targets Wnt5a , which is important in proliferation of satellite cells in adult skeletal muscle.
We also sought the target of these novel myogenic differentiation-related miRNAs using a bioinformatics approach. The candidate target for miR-487b varied greatly depending on the database queried and it was difficult to determine a commonly suggested target. However, according to microRNASeq (https://cm.jefferson.edu/rna22v1.0/), miR-487b directly targets several molecules that are involved in skeletal muscle differentiation, including Wnt3, Wnt5a, troponin T type 3 (skeletal, fast) (TNNT3), myosin, heavy chain 1, skeletal muscle, adult (MYH1), myosin, heavy chain 2, skeletal muscle, adult (MYH2), myosin, heavy chain 3, skeletal muscle, embryonic (MYH3) and myosin, heavy chain 4, skeletal muscle (MYH4). However, we were unable to identify candidate targets associated with muscle differentiation for miR-3963 and miR-6412.
These data indicate that these newly identified miRNAs may directly and/or indirectly suppress skeletal muscle differentiation and maturation.
In the present study, we identified miR-487b, miR-3963 and miR-6412 as new skeletal muscle differentiation-associated miRNAs. Transfection of mimics of these miRNAs resulted in reduced expression in troponin T and MyHC, but did not affect the expression of MyoD or myogenin. These miRNAs may delay skeletal muscle differentiation by suppressing myotube differentiation and maturation markers. Further investigation is warranted to identify the targets of these miRNAs and the detailed mechanism by which they inhibit skeletal muscle maturation.
Over-expression of Wnt4 in C2C12 cells
The C2C12 cell line (a myoblast-like cell line from the C3H mouse) was purchased from the RIKEN Bioresource Center (Tsukuba, Japan) and maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS) (Nichirei, Tokyo, Japan).
Stable Wnt4 transfectants were established as previously described [4,44]. Briefly, After 12 to 24 h of subculture, an expression vector bearing a V5-tagged Wnt4 cDNA (PCMV-Wnt4-V5-PPGK-blasticidin-SV40pA) was transfected into C2C12 cells. Transfected cells were then cultured in DMEM containing 10% FBS and blasticidin (Life Technologies, Carlsbad, CA, USA). After serial passages in blasticidin containing selection medium for 4 to 5 weeks, Wnt4-expressing stable transfectants were obtained.
The stable Wnt4-expressing C2C12 cells and parental cells were cultured in either proliferation medium (PR) containing 10% FBS in DMEM or in differentiation medium (DF) consisting of 2% horse serum (Sigma-Aldrich, St. Louis, MO, USA) in DMEM.
miRNA expression analysis
miRNA expression analysis was performed using total RNA extracted from parental and Wnt4-expressing C2C12 cells under proliferation or differentiation conditions.
Total RNA was extracted from cultured cells using Isogen (NIPPON GENE, Toyama, Japan) according to the manufacturer’s instructions. Expression profiles were examined under the following conditions: C2C12 in PR vs. C2C12 in DF, C2C12 in PR and Wnt4-expressing C2C12 in PR, and C2C12 in DF and Wnt4-expressing C2C12 in PR.
Labeling, hybridization, scanning, and data processing were carried out with Toray 3D Gene (Toray, Tokyo, Japan). Minimum information about a microarray experiment-(MIAME-) compliant array data including raw data is deposited in the Gene Expression Omnibus (GEO) at NCBI with accession number GSE63454.
Transfection of miRNA
mirVana miR mimics used in this study were hsa-miR-206-3p (assay ID: MC10409), hsa-miR-133a-3p (MC10413), hsa-miR-133b-3p (MC10029), has-487b-3p (MC11296), mmu-miR-3963 (MC20952) and mmu-miR-6412 (MC26271) (Ambion, Life technologies). A scrambled miRNA, mirVana miRNA mimic negative control and a miR-1 positive control were used.
C2C12 cells were cultured in 100-mm diameter dishes until confluent, and transferred into 24-well plates in 2.5 × 104 cells/ml/well. The next day, 16.5 pmol of miRNAs were transfected using Lipofectamine RNAiMAX (Invitrogen, Life Technologies) according to the manufacturer’s instructions. The next day, medium was changed to proliferation medium or differentiation medium and maintained for 1 day to 1 week.
Reverse transcription quantitative polymerase chain reaction (RT-qPCR)
The effect of miRNA transfection was determined by checking the expression of the PTK9 gene (a target of miR-1) using RT-qPCR . The cells were harvested at 24 h, 48 h, 72 h and 1 week after medium change. Total RNA was extracted using Nucleospin RNA kits (MACHEREY-NAGEL GmbH, Düren, Germany). RNA was reverse transcribed into cDNA using ReverTra Ace (TOYOBO, Osaka, Japan) and used for quantitative PCR analysis.
The quantitative RT-PCR was performed using THUNDERBIRD qPCR mix (TOYOBO) and Step One Plus (Applied Biosystems, Life Technologies). The PCR conditions were 95°C for 1 min followed by 40 cycles of 95°C for 15 sec and 60°C for 45 sec.
Primer sequences used in this study
5′-ATG GGT CAC CAG CAG CTC TA -3′
5′- AGC CTA TGT CCT TCG CGT ACT -3′
5′- GAG AGC GGA TGC TGT ATT CC -3′
5′- CAG GAC CTT TCG GTT TAG CA -3′
5′- GTA AAA CGA CGG CCA GT -3′
5 - CAG GAA ACA GCT ATG AC -3′
5′- AAG TGG ATG ACC CTG TAC GAT T - 3′
5′- TTG TGT CAG AAG TGG GAT ACA- 3′
5′- TAG TAG CTG AGG ATG GTT TCG A - 3′
5′- GC GAG CAC AGA ATT AAT ACG AC -3′
5′- GCG AGC ACA GAA TTA ATA CGA CTC ACT ATA GGT TTT TTT TTT TTC G -3′
Standards were prepared as follows. Real-Time PCR was performed using the appropriate primers and the PCR products were separated by electrophoresis in 2% agarose gels. Then the bands were cut from the gel and amplicons were extracted using a QIAGEN Gel Extraction Kit (QIAGEN, Valencia, CA, USA). The PCR products were cloned with a pCRII-TOPO TA cloning kit (Life Technologies) into DH5α cells. Colonies were picked and cultured in LB medium, and plasmid DNA was extracted using a QiAprep Spin Miniprep kit (QIAGEN). After confirming correct sequences, plasmid inserts were amplified by PCR using M13 primers and Takara LA-Taq (Takara, Shiga, Japan) according to the manufacturer’s protocol. The PCR products were extracted using a MinElute PCR Purification Kit (QIAGEN) and then copy number was calculated. Finally, standards of 106 to 102 copies were prepared by serial dilution.
RT-qPCR for miRNA expression analysis
We performed quantitative PCR analysis to assess expression of miR-487b, miR-3963 and miR-6412. Total RNA samples were collected from C2C12 cells cultured in proliferation medium or differentiation medium. C2C12 cells were seeded on 100-mm dishes at 2.0 × 106 cell/10 ml. The next day, media were changed to proliferation medium (DMEM containing 10% FBS) or differentiation medium (DMEM containing 2% HS). The cells were cultured for 3 days, and total RNA was extracted using ISOGEN (NIPPON GENE). cDNA synthesis and RT-qPCR was performed using Universal cDNA synthesis kit II (EXIQON, Woburn, MA, USA), ExiLENT SYBR® Green master mix (EXIQON) and MicroRNA LNA™ PCR primer set (EXIQON), according to the manufacturer’s protocols.
We also designed primers for miR-487b, miR-3963 and miR-6412 and performed quantitative PCR as reported previously . The forward primers were designed based on the entire tested miRNA sequences, and the reverse primer was designed based on the poly (T) adaptor sequence. The sequences of all primers and the poly(T) adaptor are indicated in Table 1.
The cDNA was polyadenylated using a Poly(A) Tailing kit according to the manufacturer’s instructions (Ambion, Life technologies). After phenol-chloroform extraction and ethanol precipitation, the RNA was dissolved in nuclease free water, and reverse-transcribed using ReverTra Ace (TOYOBO) with 0.5 μg of poly(T) adaptor. RPS29 was selected as the internal reference gene for PCR quantification. Real-time PCR was performed using THUNDERBIRD qPCR mix (TOYOBO) and Step One Plus (Applied Biosystems, Life Technologies). The PCR conditions were 95°C for 10 min followed by 45 cycles of 95°C for 10 sec and 60°C for 1 min. The quantity of miRNAs, relative to the reference gene was calculated using the formula 2-ΔCt (cycle threshold), where ΔCt = (Ct miRNA –Ct reference gene). Comparison of miRNA expression was based on the ΔΔCt method [48,49], and the relative miRNA expression can be quantified according to the formula of 2-ΔΔCt, where ΔΔCt = (ΔCt of C2C12 in DF) − (ΔCt of C2C12 in PR).
After transfection of miRNAs, cells were fixed in 4% paraformaldehyde for 10 min and rinsed with PBS three times. Then cells were treated for 30 min with blocking buffer, consisting of 3% BSA, 2% goat serum, 0.2% Tween 20 and 0.1% NaN3 in PBS. Then, cells were incubated with anti-troponin T (MAB1487, clone TT-98, Abnova, Taipei, Taiwan), anti-fast myosin heavy chain (MyHC) (MY-23, Sigma-Aldrich), anti-slow myosin heavy chain (NOQ7.5.4D, Sigma-Aldrich), anti-myogenin (F5D, Santa Cruz, Dallas, TX, USA) or anti-MyoD (C20, Santa Cruz) in blocking buffer at 4°C overnight. The dilution of antibodies was 1:200, 1:400, 1:1000, 1:50 and 1:50, respectively. After three TBS washes, cells were incubated with a 1:500 dilution of secondary Alexa Fluor 594-conjugated goat anti-rabbit or anti-mouse IgG antibody (Life Technologies) for 1 h. After three TBS washes, cell nuclei were stained with 1 μg/ml 4′,6′-diamino-2-phenylindole solution (DAPI, DOJINDO, Kumamoto, Japan). Fluorescent images were taken using an All-in-One Fluorescence Microscope BZ-9000 (Keyence Japan, Osaka, Japan). Total cell number and troponin T, MyHC (fast) or MyHC (slow), MyoD and myogenin-positive cells were counted and the results are presented as positive cell ratios. Approximately 1500-2000 cells/well in 6 wells were counted in each independent experiment, and each experiment was independently done more than three times to obtain the statistically significant results.
Significant differences between the control and the miRNA groups were determined using Student’s t-test. All computations were performed using PASW Statistics 18 (SPSS Inc., Chicago, IL, USA). P-value less than 0.05 was considered to indicate a statistically significant result.
This work was supported by a Grant-in-Aid for Scientific Research (C) from the Japan Society for the Promotion of Science (23590227 and 26•9964), and by Research Project grants from Kawasaki Medical School (23-T1, 26-T1 and 26-K29).
- Buckingham M. Myogenic progenitor cells and skeletal myogenesis in vertebrates. Curr Opin Genet Dev. 2006;16:525–32.View ArticlePubMedGoogle Scholar
- Perry RL, Rudnick MA. Molecular mechanisms regulating myogenic determination and differentiation. Front Biosci. 2000;5:D750–67.View ArticlePubMedGoogle Scholar
- Sadler TW. Chapter 10 Muscular system. In: Sadler TW, editor. Langman’s Medical Embryology. 11th ed. Philadelphia: Lippincott Wiliams Wilkins; 2010. p. 147–57.Google Scholar
- Terada K, Misao S, Katase N, Nishimatsu S, Nohno T. Interaction of Wnt signaling with BMP/Smad signaling during the transition from cell proliferation to myogenic differentiation in mouse myoblast-derived cells. Int J Cell Biol. 2013;2013:616294.View ArticlePubMedPubMed CentralGoogle Scholar
- Von Maltzahn J, Chang NC, Bentzinger CF, Rudnicki MA. Wnt signaling in myogenesis. Trends Cell Biol. 2012;22:602–9.View ArticleGoogle Scholar
- Tajbakhsh S, Borello U, Vivarelli E, Kelly R, Papkoff J, Duprez D, et al. Differential activation of Myf5 and MyoD by different Wnts in explants of mouse paraxial mesoderm and the later activation of myogenesis in the absence of Myf5. Development. 1998;125:4155–62.PubMedGoogle Scholar
- Otto A, Schmidt C, Luke G, Allen S, Valasek P, Muntoni F, et al. Canonical Wnt signalling induces satellite-cell proliferation during adult skeletal muscle regeneration. J Cell Sci. 2008;121:2939–50.View ArticlePubMedGoogle Scholar
- Bernardi H, Gay S, Fedon Y, Vernus B, Bonnieu A, Bacou F. Wnt4 activates the canonical β-catenin pathway and regulates negatively myostatin: functional implication in myogenesis. Am J Physiol Cell Physiol. 2011;300:C1122–38.View ArticlePubMedGoogle Scholar
- Takata H, Terada K, Oka H, Sunada Y, Moriguchi T, Nohno T. Involvement of Wnt4 signaling during myogenic proliferation and differentiation of skeletal muscle. Dev Dyn. 2007;236:2800–7.View ArticlePubMedGoogle Scholar
- Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–97.View ArticlePubMedGoogle Scholar
- Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–33.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen JF, Tao Y, Li J, Deng Z, Yan Z, Xiao X, et al. microRNA-1 and microRNA-206 regulate skeletal muscle satellite cell proliferation and differentiation by repressing Pax7. J Cell Biol. 2010;190:867–79.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim HK, Lee YS, Sivaprasad U, Malhotra A, Dutta A. Muscle-specific microRNA miR-206 promotes muscle differentiation. J Cell Biol. 2006;174:677–87.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen JF, Mandel EM, Thomson JM, Wu Q, Callis TE, Hammond SM, et al. The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation. Nat Genet. 2006;38:228–33.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang L, Chen X, Zheng Y, Li F, Lu Z, Chen C, et al. MiR-23a inhibits myogenic differentiation through down regulation of fast myosin heavy chain isoforms. Exp Cell Res. 2012;318:2324–34.View ArticlePubMedGoogle Scholar
- Sun Q, Zhang Y, Yang G, Chen X, Zhang Y, Cao G, et al. Transforming growth factor-beta-regulated miR-24 promotes skeletal muscle differentiation. Nucleic Acids Res. 2008;36:2690–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Dey BK, Gagan J, Yan Z, Dutta A. miR-26a is required for skeletal muscle differentiation and regeneration in mice. Genes Dev. 2012;26:2180–91.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen X, Huang Z, Chen D, Yang T, Liu G. Role of microRNA-27a in myoblast differentiation. Cell Biol Int. 2014;38:266–71.View ArticlePubMedGoogle Scholar
- Huang Z, Chen X, Yu B, He J, Chen D. MicroRNA-27a promotes myoblast proliferation by targeting myostatin. Biochem Biophys Res Commun. 2012;423:265–9.View ArticlePubMedGoogle Scholar
- Crist CG, Montarras D, Pallafacchina G, Rocancourt D, Cumano A, Conway SJ, et al. Muscle stem cell behavior is modified by microRNA-27 regulation of Pax3 expression. Proc Natl Acad Sci U S A. 2009;106:13383–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Wei W, He HB, Zhang WY, Zhang HX, Bai JB, Liu HZ, et al. miR-29 targets Akt3 to reduce proliferation and facilitate differentiation of myoblasts in skeletal muscle development. Cell Death Dis. 2013;4:e668.View ArticlePubMedPubMed CentralGoogle Scholar
- Qadir AS, Woo KM, Ryoo HM, Yi T, Song SU, Baek JH. MiR-124 inhibits myogenic differentiation of mesenchymal stem cells via targeting Dlx5. J Cell Biochem. 2014;115:1572–81.View ArticlePubMedGoogle Scholar
- Motohashi N, Alexander MS, Shimizu-Motohashi Y, Myers JA, Kawahara G, Kunkel LM. Regulation of IRS1/Akt insulin signaling by microRNA-128a during myogenesis. J Cell Sci. 2013;126:2678–91.View ArticlePubMedPubMed CentralGoogle Scholar
- Khanna N, Ge Y, Chen J. MicroRNA-146b promotes myogenic differentiation and modulates multiple gene targets in muscle cells. PLoS One. 2014;9(6):e100657.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang J, Ying ZZ, Tang ZL, Long LQ, Li K. MicroRNA-148a promotes myogenic differentiation by targeting the ROCK1 gene. J Biol Chem. 2012;287:21093–101.View ArticlePubMedPubMed CentralGoogle Scholar
- Seok HY, Tatsuguchi M, Callis TE, He A, Pu WT, Wang DZ. miR-155 inhibits expression of the MEF2A protein to repress skeletal muscle differentiation. J Biol Chem. 2011;286:35339–46.View ArticlePubMedPubMed CentralGoogle Scholar
- Naguibneva I, Ameyar-Zazoua M, Polesskaya A, Ait-Si-Ali S, Groisman R, Souidi M, et al. The microRNA miR-181 targets the homeobox protein Hox-A11 during mammalian myoblast differentiation. Nat Cell Biol. 2006;8:278–84.View ArticlePubMedGoogle Scholar
- Alexander MS, Kawahara G, Motohashi N, Casar JC, Eisenberg I, Myers JA, et al. MicroRNA-199a is induced in dystrophic muscle and affects WNT signaling, cell proliferation, and myogenic differentiation. Cell Death Differ. 2013;20:1194–208.View ArticlePubMedPubMed CentralGoogle Scholar
- Antoniou A, Mastroyiannopoulos NP, Uney JB, Phylactou LA. miR-186 inhibits muscle cell differentiation through myogenin regulation. J Biol Chem. 2014;289:3923–35.View ArticlePubMedPubMed CentralGoogle Scholar
- Feng Y, Cao JH, Li XY, Zhao SH. Inhibition of miR-214 expression represses proliferation and differentiation of C2C12 myoblasts. Cell Biochem Funct. 2011;29:378–83.View ArticlePubMedGoogle Scholar
- Cardinali B, Castellani L, Fasanaro P, Basso A, Alemà S, Martelli F, et al. Microrna-221 and microrna-222 modulate differentiation and maturation of skeletal muscle cells. PLoS One. 2009;4(10):e7607.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen Y, Melton DW, Gelfond JA, McManus LM, Shireman PK. MiR-351 transiently increases during muscle regeneration and promotes progenitor cell proliferation and survival upon differentiation. Physiol Genomics. 2012;44:1042–51.View ArticlePubMedPubMed CentralGoogle Scholar
- Hitachi K, Nakatani M, Tsuchida K. Myostatin signaling regulates Akt activity via the regulation of miR-486 expression. Int J Biochem Cell Biol. 2014;47:93–103.View ArticlePubMedGoogle Scholar
- Cheung TH, Quach NL, Charville GW, Liu L, Park L, Edalati A, et al. Maintenance of muscle stem-cell quiescence by microRNA-489. Nature. 2012;482:524–8.View ArticlePubMedPubMed CentralGoogle Scholar
- van Rooij E, Quiat D, Johnson BA, Sutherland LB, Qi X, Richardson JA, et al. A family of microRNAs encoded by myosin genes governs myosin expression and muscle performance. Dev Cell. 2009;17:662–73.View ArticlePubMedPubMed CentralGoogle Scholar
- Lin CY, Chen JS, Loo MR, Hsiao CC, Chang WY, Tsai HJ. MicroRNA-3906 regulates fast muscle differentiation through modulating the target gene homer-1b in zebrafish embryos. PLoS One. 2013;8:e70187.View ArticlePubMedPubMed CentralGoogle Scholar
- Formosa A, Markert EK, Lena AM, Italiano D, Finazzi-Agro’ E, Levine AJ, et al. MicroRNAs, miR-154, miR-299-5p, miR-376a, miR-376c, miR-377, miR-381, miR-487b, miR-485-3p, miR-495 and miR-654-3p, mapped to the 14q32.31 locus, regulate proliferation, apoptosis, migration and invasion in metastatic prostate cancer cells. Oncogene. 2014;33:5173–82.View ArticlePubMedGoogle Scholar
- Gattolliat CH, Thomas L, Ciafrè SA, Meurice G, Le Teuff G, Job B, et al. Expression of miR-487b and miR-410 encoded by 14q32.31 locus is a prognostic marker in neuroblastoma. Br J Cancer. 2011;105:1352–61.View ArticlePubMedPubMed CentralGoogle Scholar
- Gattolliat CH, Le Teuff G, Combaret V, Mussard E, Valteau-Couanet D, Busson P, et al. Expression of two parental imprinted miRNAs improves the risk stratification of neuroblastoma patients. Cancer Med. 2014;3:998–1009.View ArticlePubMedPubMed CentralGoogle Scholar
- Kitamura K, Seike M, Okano T, Matsuda K, Miyanaga A, Mizutani H, et al. MiR-134/487b/655 cluster regulates TGF-β-induced epithelial-mesenchymal transition and drug resistance to gefitinib by targeting MAGI2 in lung adenocarcinoma cells. Mol Cancer Ther. 2014;13:444–53.View ArticlePubMedGoogle Scholar
- Nossent AY, Eskildsen TV, Andersen LB, Bie P, Brønnum H, Schneider M, et al. The 14q32 microRNA-487b targets the antiapoptotic insulin receptor substrate 1 in hypertension-induced remodeling of the aorta. Ann Surg. 2013;258:743–51.View ArticlePubMedGoogle Scholar
- Long YC, Cheng Z, Copps KD, White MF. Insulin receptor substrates Irs1 and Irs2 coordinate skeletal muscle growth and metabolism via the Akt and AMPK pathways. Mol Cell Biol. 2011;31:430–41.View ArticlePubMedPubMed CentralGoogle Scholar
- Xi S, Xu H, Shan J, Tao Y, Hong JA, Inchauste S, et al. Cigarette smoke mediates epigenetic repression of miR-487b during pulmonary carcinogenesis. J Clin Invest. 2013;123:1241–61.View ArticlePubMedPubMed CentralGoogle Scholar
- Tanaka S, Terada K, Nohno T. Canonical Wnt signaling is involved in switching from cell proliferation to myogenic differentiation of mouse myoblast cells. J Mol Signal. 2011;6:12.View ArticlePubMedPubMed CentralGoogle Scholar
- Lim LP, Lau NC, Garrett-Engele P, Grimson A, Schelter JM, Castle J, et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature. 2005;433:769–73.View ArticlePubMedGoogle Scholar
- de Jonge HJ, Fehrmann RS, de Bont ES, Hofstra RM, Gerbens F, Kamps WA, et al. Evidence based selection of housekeeping genes. PLoS One. 2007;2:e898.View ArticlePubMedPubMed CentralGoogle Scholar
- Shi R, Chiang VL. Facile means for quantifying microRNA expression by real-time PCR. Biotechniques. 2005;39:519–25.View ArticlePubMedGoogle Scholar
- Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2 (-Delta Delta C (T)) Method. Methods. 2001;25:402–8.View ArticlePubMedGoogle Scholar
- Winer J, Jung CK, Shackel I, Williams PM. Development and validation of real-time quantitative reverse transcriptase-polymerase chain reaction for monitoring gene expression in cardiac myocytes in vitro. Anal Biochem. 1999;270:41–9.View ArticlePubMedGoogle Scholar
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