Bioinformatic identification and characterization of human endothelial cell-restricted genes

In this study, we used a systematic bioinformatics analysis approach to elucidate genes that exhibit an endothelial cell (EC) restricted expression pattern, and began to define their regulation, tissue distribution, and potential biological role. Using a high throughput microarray platform, a primar...

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Veröffentlicht in:	BMC genomics 2010-05, Vol.11 (1), p.342-342, Article 342
Hauptverfasser:	Bhasin, Manoj, Yuan, Lei, Keskin, Derin B, Otu, Hasan H, Libermann, Towia A, Oettgen, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Binding Sites Cell Differentiation - genetics Cell Line Computational Biology Disease - genetics DNA microarrays Endothelial Cells - cytology Endothelial Cells - metabolism Endothelial Cells - pathology Epithelial cells Gene Expression Profiling Genes Genetic aspects Genetic regulation Humans MicroRNAs - metabolism Neovascularization, Physiologic - genetics Organ Specificity Physiological aspects Regulatory Sequences, Nucleic Acid - genetics Transcription Factors - metabolism
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Zusammenfassung:	In this study, we used a systematic bioinformatics analysis approach to elucidate genes that exhibit an endothelial cell (EC) restricted expression pattern, and began to define their regulation, tissue distribution, and potential biological role. Using a high throughput microarray platform, a primary set of 1,191 transcripts that are enriched in different primary ECs compared to non-ECs was identified (LCB >3, FDR
ISSN:	1471-2164 1471-2164
DOI:	10.1186/1471-2164-11-342