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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Prostatearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Prostate
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
The Prostate
Article . 2008
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Expression profiling of CD133+ and CD133— epithelial cells from human prostate

Authors: Shepherd, Christopher J; Rizzo, Siân; Ledaki, Ioanna; Davies, Melissa; Brewer, Daniel; Attard, Gerhardt; de Bono, Johann; +1 Authors

Expression profiling of CD133+ and CD133— epithelial cells from human prostate

Abstract

AbstractBACKGROUNDRecent evidence suggests that prostate stem cells in benign and tumor tissue express the cell surface marker CD133, but these cells have not been well characterized. The aim of our study was to gene expression profile CD133‐expressing cells.METHODSWe analyzed CD133‐positive (CD133+) and ‐negative (CD133−) sub‐populations of high‐integrin expressing epithelial cells isolated from benign human prostate tissue and hormone‐refractory prostate cancer (HRPC).RESULTSCD133+ cells freshly isolated from benign prostate tissue exhibited an expression profile characteristic of a putative stem/progenitor cell population, with transcripts involved in biological processes ranging from development and ion homeostasis to cell communication. The profile of CD133− cells was consistent with that of a transit amplifying population, suggesting up‐regulated proliferation and metabolism. Comparison of benign populations to those from HRPC showed some similarities between CD133+ profiles but also revealed significant differences that provide a tumor‐specific pattern, which included evidence of increased metabolic activity and active proliferation. Subsequently, we demonstrated protein expression of a number of candidate genes in these cell populations and in benign tissue. In a novel observation we also found expression of some of these markers in prostate tumors, including the oligodendrocyte lineage transcription factor OLIG1.CONCLUSIONSThis study provides a unique genome‐wide molecular signature of CD133+ and CD133− human prostate epithelial cells. This will provide a valuable resource for prostate stem cell biology research and the identification of novel therapeutic targets for the treatment of prostate cancer. Prostate 68:1007–1024, 2008. © 2008 Wiley‐Liss, Inc.

Country
United Kingdom
Keywords

Male, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Prostatic Hyperplasia, 610, Prostatic Neoplasms, Epithelial Cells, Antigens, CD, 616, Cluster Analysis, Humans, AC133 Antigen, RNA, Messenger, Peptides, Glycoproteins, Oligonucleotide Array Sequence Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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