PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Circ Res. Author manuscript; available in PMC Sep 30, 2012.
Published in final edited form as:
PMCID: PMC3207496
NIHMSID: NIHMS330270
MicroRNA133a: A New Variable in Vascular Smooth Muscle Cell Phenotypic Switching
Joseph M. Miano and Eric M. Small
Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Rochester, NY 14642
Correspondence: Joseph M. Miano (j.m.miano/at/rochester.edu) or Eric M. Small (eric_small/at/urmc.rochester.edu)
Keywords: serum response factor, neointima, microRNA, transcription
The human genome is replete with digital information, only 1.2% of which comprises protein-coding sequence. The non-protein coding sequence encompasses >1 million regulatory elements controlling gene expression and codes for such genomic processes as recombination, replication, splicing, transposition, and structural integration of the genome with the surrounding nucleoskeleton. Throughout such punctuated sequence information is a vast amount of transcribed non-protein coding RNA (ncRNA) whose functions have only begun to be understood. These facts debunk the old notion that our genome is comprised largely of “junk DNA” and point to an ever-expanding role for genomic DNA sequence in various biological processes. For example, a portion of the ncRNA transcriptome encodes some 1,000 microRNAs (miRs) whose activity relates primarily to the post-transcriptional regulation of a cell's mRNA pool through targeted mRNA degradation 1. Accordingly, miRs function to influence essentially all aspects of cellular biology by tailoring a cell's proteome. Since the initial reporting of miRs in human cells 2, there has been an explosive rise in the number of PubMed papers (Fig. 1) related to these “molecular rheostats”, and there are high hopes for applying knowledge gained through this body of work in the treatment of numerous diseases where aberrant expression of miRs has been reported across body systems 3.
Figure 1
Figure 1
Number of papers published on microRNAs over the last 11 years
Various cells of the cardiovascular system express a number of miRs that have been the subject of intense study over the last few years. These include the bicistronic miR1/133a and miR143/145 genes that are highly specific to cardiac myocytes and smooth muscle cells (SMC), respectively 4. The miR1/133a gene is of particular interest as it is duplicated on separate chromosomes; miR1-1/133a-2 is transcribed in an intron of a hypothetical locus in humans whereas miR1-2/133a-1 is found on the opposite strand of the MIB1 locus, encoding an E3 ubiquitin-protein ligase. Consistent with their abundant expression in cardiac and skeletal muscle, both miR1/133a genes are under the transcriptional control of several myogenic regulatory factors, including serum response factor (SRF) and myocyte enhancer factor 2 5,6. Further work showed miR1/133a control cardiac muscle growth and differentiation through their repressive action on a number of validated target genes 4. However, the expression and function of miR133a in SMC has, until now, been largely unexplored.
In this issue of Circulation Research, Torella et al have demonstrated new functions and validated target genes for miR133a that contribute to SMC phenotypic states both in vitro and in vivo 7. Using a battery of sensitive assays, Torella et al first demonstrated measureable expression of miR133a (but not miR1) in SMC of the vessel wall as well as dissociated SMC in culture. The fact that miR1 levels are very low in SMC suggests differential post-transcriptional processing of miR1 versus miR133a in SMC as compared to cardiac myocytes. Using acute gain- and loss-of-function experiments, the authors went on to show an inverse relationship between expression of miR133a and vascular SMC proliferation. Moreover, growth stimulation of SMC with PDGF resulted in a decrease in miR133a expression. These findings are reminiscent of similar phenomena seen with miR145 indicating a network of miRs, that maintains a quiescent SMC phenotype, is subject to down-regulation upon cell cycle entry. Torella et al next examined the effect of modulating miR133a levels on expression of several SMC differentiation genes. In contrast to miR145, which promotes expression of several SMC contractile genes 8, miR133a inhibited the SMC markers, CNN1 and ACTA2. There was no change in mRNA expression of myocardin, the major transcriptional switch for SMC differentiation 9. On the other hand, levels of SRF mRNA and protein were reduced with miR133a, a result consistent with previous work from Da-zhi Wang's group 10. These results suggest that lower levels of SRF probably accounted for the reduced expression of CNN1 and ACTA2, both of which are known SRF target genes 11. CNN1 and ACTA2 are expressed transiently in embryonic cardiac myocytes and do not show expression in adult cardiac myocytes unless the heart undergoes failure, whereupon these genes may be reactivated as part of the fetal gene program. In this context, Olson and colleagues showed a heart failure phenotype with elevated expression of CNN1 and ACTA2 in mice where both miR133a alleles were genetically inactivated 12. In contrast to the attenuated expression of CNN1 and ACTA2 with miR133a, Torella et al observed increases in MYH11, which is not expressed in the developing heart and is the gold standard marker for SMC lineages 13. How miR133a increased expression of the SRF-dependent MYH11 gene required some astute observations related to putative miR133a target transcripts.
A major bottleneck in miR research is the confident identification of target mRNAs and how such targeting impacts biological processes. Several computer programs are available to assist investigators in this endeavor; however, each program uses slightly different criteria for scoring an mRNA transcript as a possible target, making the task for target mRNA identification challenging. Nevertheless, Torella et al noted two putative miR133a targets and went on to show miR133a-mediated repression of the SP1 zinc finger-containing transcription factor and muscle-restricted moesin (MSN), encoding an actin-binding protein 7. Since elevated SP1 expression is associated with SMC hyperplasia in the vessel wall after injury 14, Torella et al considered whether the inhibitory action of miR133a on SMC growth was linked to its effects on SP1. Indeed, expression of SP1 carrying a mutation in the miR133a binding site, located in the 3′ untranslated region, rescued the growth inhibition conferred by miR133a in SMC. Although miR133a was shown to reduce SMC migration, whether a mutant form of SP1 or MSN rescues this migration phenotype is presently unknown. However, the SP1 mutant was able to antagonize the increase in MYH11 observed with miR133a overexpression. This finding is consistent with work from the Owens' lab showing repression of MYH11 through an SP1-binding GC-rich element in the upstream promoter region 15.
The in vitro findings of Torella et al were then extended to an in vivo model of vascular SMC hyperplasia and lesion development (balloon injury of rat carotid artery). Levels of miR133a were reduced after injury, which is similar to the expression changes reported for miR143/145 8,16. In contrast, miR221, SP1, and MSN were all increased after injury. Adenoviral transfer of miR133a to the vessel wall attenuated proliferating SMC and reduced the increases seen in SP1 and MSN protein expression, thus confirming the in vitro findings in an animal model of SMC hyperplasia. More importantly, miR133a reduced and anti-miR133a augmented neointimal formation 14 days after balloon injury. These results establish a pathophysiologically relevant role for miR133a in minimizing SMC phenotypic adaptation and resultant lesion formation.
The detailed work of Torella et al provides new insight into a miR previously thought to be limited in function to striated muscle growth and differentiation. That miR133a and miR143/145 both require SRF for expression and show overlapping functions in controlling SMC phenotype, highlights redundant miR-dependent pathways for the maintenance of a contractile SMC phenotype. These miRs are counter-balanced by other miRs upon phenotypic switching of SMC (Figure 2). What emerges therefore is a complex web of feed-back and feed-forward circuits involving transcription factors, their target miRs, and the miR target mRNAs themselves whose encoded proteins carry out biological functions related to cellular phenotypic states. The work of Torella et al provokes as many questions as those answered in the series of elegant experiments presented. First, we still have limited knowledge as to the full repertoire of mRNAs targeted by miRs in vascular SMC. Next generation sequencing following either miR overexpression or Argonaute pulldown will likely provide further insight into how miRs maintain vascular SMC homeostasis. Second, it will be interesting to ascertain the relative expression levels of each miR133a transcript (133a-1 versus 133a-2) and understand why levels of miR1 are so low in SMC despite its assumed presence in the primary miR transcript. Delineating the potential roles of miR1 and miR133a during formation of the heart and SMC lineages may provide further insight into the factors governing reactivation of the fetal gene programs associated with cardiac and vascular remodeling. Finally, there is mounting evidence that a combinatorial microRNA code exists, similar to that observed with transcriptional regulators, with multiple, seemingly unrelated, miRs regulating the same transcript or a common biological process 17. Thus, it will be informative to generate compound mutants of miR143/145 and miR133a to determine whether the latter's absence will evoke more dramatic vascular phenotypes than those previously reported for miR143/145 18,19.
Figure 2
Figure 2
Known microRNAs involved in regulating SMC phenotype
Acknowledgments
The authors' work on this subject is funded through National Institutes of Health grants HL-62572 and HL-091168 (JMM) and an American Heart Association Scientist Development Grant (EMS).
1. Guo H, Ingolia NT, Weissman JS, Bartel DP. Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature. 2010;466:835–840. [PMC free article] [PubMed]
2. Lagos-Quintana M, Rauhut R, Lendeckel W, Tuschl T. Identification of novel genes coding for small expressed RNAs. Science. 2001;294:853–858. [PubMed]
3. Sayed D, Abdellatif M. MicroRNAs in development and disease. Physiol Rev. 2011;91:827–887. [PubMed]
4. Small EM, Olson EN. Pervasive roles of microRNAs in cardiovascular biology. Nature. 2011;469:336–342. [PMC free article] [PubMed]
5. Zhao Y, Samal E, Srivastava D. Serum response factor regulates a muscle-specific microRNA that targets Hand2 during cardiogenesis. Nature. 2005;436:214–220. [PubMed]
6. Liu N, Williams AH, Kim Y, McNally J, Bezprozvannaya S, Sutherland LB, Richardson JA, Bassel-Duby R, Olson EN. An intragenic MEF2-dependent enhancer directs muscle-specific expression of microRNAs 1 and 133. Proc Natl Acad Sci, USA. 2007;104:20844–20849. [PubMed]
7. Torella D, Iaconetti C, Catalucci D, Ellison GM, Leone A, Waring CD, Bochicchio A, Vicinanza C, Aquila I, Curcio A, Condorelli G, Indolfi C. MicroRNA-133 controls vascular smooth muscle cell phenotypic switch in vitro and vascular remodeling in vivo. Circ Res. 2011;109 XXX-XXX. [PubMed]
8. Cordes KR, Sheehy NT, White MP, Berry EC, Morton SU, Muth AN, Lee TH, Miano JM, Ivey KN, Srivastava D. miR-145 and miR-143 regulate smooth muscle cell fate and plasticity. Nature. 2009;460:705–710. [PMC free article] [PubMed]
9. Chen J, Kitchen CM, Streb JW, Miano JM. Myocardin: a component of a molecular switch for smooth muscle differentiation. J Mol Cell Cardiol. 2002;34:1345–1356. [PubMed]
10. Chen JF, Mandel EM, Thomson JM, Wu Q, Callis TE, Hammond SM, Conlon FL, Wang DZ. The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation. Nat Genet. 2006;38:228–233. [PMC free article] [PubMed]
11. Miano JM. Serum response factor: toggling between disparate programs of gene expression. J Mol Cell Cardiol. 2003;35:577–593. [PubMed]
12. Liu N, Bezprozvannaya S, Williams AH, Qi X, Richardson JA, Bassel-Duby R, Olson EN. microRNA-133a regulates cardiomyocyte proliferation and suppresses smooth muscle gene expression in the heart. Genes Dev. 2008;22:3242–3254. [PubMed]
13. Miano JM, Cserjesi P, Ligon KL, Periasamy M, Olson EN. Smooth muscle myosin heavy chain marks exclusively the smooth muscle lineage during mouse embryogenesis. Circ Res. 1994;75:803–812. [PubMed]
14. Madsen CS, Regan CP, Owens GK. Interaction of CArG elements and a GC-rich repressor element in transcriptional regulation of the smooth muscle myosin heavy chain gene in vascular smooth muscle cells. J Biol Chem. 1997;272:29842–29851. [PubMed]
15. Regan CP, Adam PJ, Madsen CS, Owens GK. Molecular mechanisms of decreased smooth muscle differentiation marker expression after vascular injury. J Clin Invest. 2000;106:1139–1147. [PMC free article] [PubMed]
16. Cheng Y, Liu X, Yang J, Lin Y, Xu DZ, Lu Q, Deitch EA, Huo Y, Delphin ES, Zhang C. MicroRNA-145, a novel smooth muscle cell phenotypic marker and modulator, controls vascular neointimal lesion formation. Circ Res. 2009;105:158–166. [PMC free article] [PubMed]
17. Brenner JL, Jasiewicz KL, Fahley AF, Kemp BJ, Abbott AL. Loss of individual microRNAs causes mutant phenotypes in sensitized genetic backgrounds in C. elegans. Curr Biol. 2010;20:1321–1325. [PMC free article] [PubMed]
18. Boettger T, Beetz N, Kostin S, Schneider J, Kruger M, Hein L, Braun T. Acquisition of the contractile phenotype by murine arterial smooth muscle cells depends on the Mir143/145 gene cluster. J Clin Invest. 2009;119:2634–2647. [PMC free article] [PubMed]
19. Xin M, Small EM, Sutherland LB, Qi X, McAnally J, Plato CF, Richardson JA, Bassel-Duby R, Olson EN. MicroRNAs miR-143 and miR-145 modulate cytoskeletal dynamics and responsiveness of smooth muscle cells to injury. Genes Dev. 2009;23:2166–2178. [PubMed]
20. Liu X, Cheng Y, Zhang S, Lin Y, Yang J, Zhang C. A necessary role of miR-221 and miR-222 in vascular smooth muscle cell proliferation and neointimal hyperplasia. Circ Res. 2009;104:476–487. [PMC free article] [PubMed]
21. Davis BN, Hilyard AC, Nguyen PH, Lagna G, Hata A. Induction of microRNA-221 by platelet-derived growth factor signaling is critical for modulation of vascular smooth muscle phenotype. J Biol Chem. 2009;284:3728–3738. [PubMed]
22. Park C, Hennig GW, Sanders KM, Cho JH, Hatton WJ, Redelman D, Park JK, Ward SM, Miano JM, Yan W, Ro S. Serum response factor-dependent microRNAs regulate gastrointestinal smooth muscle cell phenotypes. Gastroenterology. 2011;141:164–175. [PMC free article] [PubMed]
23. Ji R, Cheng Y, Yue J, Yang J, Liu X, Chen H, Dean DB, Zhang C. MicroRNA expression signature and antisense-mediated depletion reveal an essential role of MicroRNA in vascular neointimal lesion formation. Circ Res. 2007;100:1579–1588. [PubMed]