Transcriptome profiling of LGR5 positive colorectal cancer cells.

Abstract

The concept of cancer stem cells (CSCs) claims that colorectal carcinomas (CRCs), like normal colorectal epithelium, are organized hierarchically and contain a subpopulation of qualitatively distinct cancer cells. The expression of distinctive surface markers or of certain enzymes is a prerequisite for the isolation and characterization of the CSC population. With respect to CRCs, putative CSCs can be identified by leucine-rich-repeat-containing G-protein-coupled receptor 5 (Lgr5, also known as G-protein-coupled receptor 49, Gpr49). However, the precise function of the intestinal stem cell marker Lgr5 in CRCs remains largely unknown. We silenced LGR5 expression in SW480 CRC cells via lentiviral shRNA constructs. This led to the depletion of a morphologically distinct subpopulation of SW480 CRC cells. Microarray gene expression profiling revealed a down-regulation of NOTCH signaling upon LGR5 silencing that could be confirmed by immunohistochemistry. Furthermore, we induced inflammation-driven colon tumors in Lgr5-EGFP-IRES-Cre-ERT2 mice via administration of azoxymethane and dextrane sodium sulfate. The induced tumors were flow-sorted into fractions of epithelial cells that expressed high or low levels of Lgr5 and were characterized using gene expression profiling. Lgr5 high tumor cells showed higher levels of several stem cell-associated genes and higher Wnt signaling than Lgr5 low tumor cells and Lgr5 high normal stem cells. Here we provide a thorough description of our two gene expression datasets including quality control checks uploaded to Gene Expression Omnibus database (data accession number: GSE46200). The analysis and interpretation of our gene expression data and related results have been published recently by Hirsch and colleagues in Carcinogenesis in 2014.

• Authors: Daniela Hirsch, Yue Hu, Thomas Ried, Roland Moll, Timo Gaiser
• Journal: Genomics data (Genom Data) Vol. 2 Pg. 212-5 (Dec 2014) ISSN: 2213-5960 [Print] United States
• PMID: 26484096 (Publication Type: Journal Article)