Transcriptomics

Dataset Information

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Expression data from LCM captured prostate cancer cells


ABSTRACT: The prostate represents a complex mix of cell types and there is a need to analyze distinct cell populations to better understand their potential interactions. This study of cell-type specific gene expression patterns will contribute to understanding of how tumor epithelial cells may be affected by adjacent interstitial stromal cells within the tumor microenvirnonment. LCM and microarray analysis were used to identify gene expression patterns in prostate cancer epithelial and interstitial stromal cell populations. More than 500 genes whose expression levels were significantly different in epithelial cells versus adjacent stromal tissue were identified. Several chemokines and growth factors were more highly expressed in prostate cancer stromal cells while several transcription factors and receptors were more highly expressed in epithelial cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE20758 | GEO | 2010/04/10

SECONDARY ACCESSION(S): PRJNA125047

REPOSITORIES: GEO

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