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PMID: 15340120 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Validation Study

Transcriptional profiling of in vitro smooth muscle cell differentiation identifies specific patterns of gene and pathway activation.

Physiological genomics ·Vol. 19 ·No. 3 ·2004-11-17 ·Pages 292-302

Spin JM, Nallamshetty S, Tabibiazar R, Ashley EA, King JY, Chen M, Tsao PS, Quertermous T

Abstract

Mesodermal and epidermal precursor cells undergo phenotypic changes during differentiation to the smooth muscle cell (SMC) lineage that are relevant to pathophysiological processes in the adult. Molecular mechanisms that underlie lineage determination and terminal differentiation of this cell type have received much attention, but the genetic program that regulates these processes has not been fully defined. Study of SMC differentiation has been facilitated by development of the P19-derived A404 embryonal cell line, which differentiates toward this lineage in the presence of retinoic acid and allows selection for cells adopting a SMC fate through a differentiation-specific drug marker. We sought to define global alterations in gene expression by studying A404 cells during SMC differentiation with oligonucleotide microarray transcriptional profiling. Using an in situ 60-mer array platform with more than 20,000 mouse genes derived from the National Institute on Aging clone set, we identified 2,739 genes that were significantly upregulated after differentiation was completed (false-detection ratio <1). These genes encode numerous markers known to characterize differentiated SMC, as well as many unknown factors. We further characterized the sequential patterns of gene expression during the differentiation time course, particularly for known transcription factor families, providing new insights into the regulation of the differentiation process. Changes in genes associated with specific biological ontology-based pathways were evaluated, and temporal trends were identified for functional pathways. In addition to confirming the utility of the A404 model, our data provide a large-scale perspective of gene regulation during SMC differentiation.

MeSH Terms
Animals Cell Differentiation/genetics Cell Line, Tumor Computer Systems Gene Expression Profiling/methods Gene Expression Regulation/genetics Genes/genetics,physiology Mice Models, Genetic Myocytes, Smooth Muscle/chemistry,cytology,metabolism Oligonucleotide Array Sequence Analysis/methods Polymerase Chain Reaction/methods Transcription, Genetic/genetics
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Spin Joshua M
Donald W. Reynolds Cardiovascular Clinical Research Center, Stanford University School of Medicine, Stanford, California 94305, USA.
Nallamshetty Shriram
Tabibiazar Raymond
Ashley Euan A
King Jennifer Y
Chen Mary
Tsao Phillip S
Quertermous Thomas
Article Info
Journal
Physiological genomics
Abbr.
Physiol Genomics
ISSN
1531-2267
Published
2004-11-17
Epub
2004-00-31
Pages
292-302
Language
English
Region
United States
NLM ID
9815683
Subset
IM
Analysis Services
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