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...

Full description

Saved in:
Bibliographic Details
Published in:BMC genomics 2010-05, Vol.11 (1), p.342-342, Article 342
Main Authors: Bhasin, Manoj, Yuan, Lei, Keskin, Derin B, Otu, Hasan H, Libermann, Towia A, Oettgen, Peter
Format: Article
Language:English
Subjects:
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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