Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Identification and validation of NOL5A and RPS2 as potential therapeutic targtes in colorectal cancer


ABSTRACT: Identification and validation of NOL5A and RPS2 as potential therapeutic targets in colorectal cancer using a functional genomics approach. To identify potential therapeutic targets for colorectal cancer, we first assessed the functional and molecular consequences of RNAi mediated silencing of candidate genes derived from previously performed gene expression analyses. We then generated gene expression signatures after RNAi against HMGA1, RRM2, TACSTD2, RPS2, and NOL5A. To assess the consequences of silencing specific genes on global gene expression levels, triplicate transfections were independently performed. Cells for lyzed 48 hours or 72 hours after transfection (depending on the target gene), and total RNA was isolated for each transfection. For each sample, one array experiment was subsequently performed.

ORGANISM(S): Homo sapiens

SUBMITTER: Natasha Caplen 

PROVIDER: E-GEOD-15212 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A genomic strategy for the functional validation of colorectal cancer genes identifies potential therapeutic targets.

Grade Marian M   Hummon Amanda B AB   Camps Jordi J   Emons Georg G   Spitzner Melanie M   Gaedcke Jochen J   Hoermann Patrick P   Ebner Reinhard R   Becker Heinz H   Difilippantonio Michael J MJ   Ghadimi B Michael BM   Beissbarth Tim T   Caplen Natasha J NJ   Ried Thomas T  

International journal of cancer 20110301 5


Genes that are highly overexpressed in tumor cells can be required for tumor cell survival and have the potential to be selective therapeutic targets. In an attempt to identify such targets, we combined a functional genomics and a systems biology approach to assess the consequences of RNAi-mediated silencing of overexpressed genes that were selected from 140 gene expression profiles from colorectal cancers (CRCs) and matched normal mucosa. In order to identify credible models for in-depth functi  ...[more]

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