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Series GSE5486 Query DataSets for GSE5486
Status Public on Aug 11, 2006
Title Using GINI2 to identify novel mutations in candidate tumor suppressor genes in colon cancer cells
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Inhibition of the nonsense mediated decay (NMD) mechanism in cells results in stabilization of transcripts carrying premature translation termination codons. A strategy referred to as gene indentification by NMD inhibition (GINI) has been proposed to identify genes carrying nonsense mutations (Noensie & Dietz, 2001). Genes containing frameshift mutations in colon cancer cell line have been identifying mutatnt genes using GINI, we have now further improved the strategy. In this approach, inhibition of NMD with emetine is complemented with inhibiting NMD by blocking the phosphorylation of the hUpf1 protein with caffeine. In addition, to enhance the GINI strategy, comparing mRNA level alterations produced by inhibiting transcription alone or inhbiiting transcription together with NMD following caffeine pretreatment were used for the efficient identification of false positives produced as a result of stress response to NMD inhibition. To demonstrate the improved efficiency of this approach, we analyzed colon cancer cell lines showing microstellite instability. Bi-allelic inactivating mutations were found in the FXR1, SEC1L1, NCOR1, BAT3, PHD14, ZNF294, C190ORF5 genes as well as genes coding for proteins with yet unknown functions.
Keywords: microarray, gene expression, Affymetrix, drug treatment, emetine, caffeine, actinomycin D, novel tumor suppressor gene candidates
 
Overall design Using GINI2 as a method of identifying novel biallelic truncating mutations in MSI+ colon cancer cells, various treatment conditions were applied to cultured colon cancer cell lines LS180 (MSI+) and SW480 (MSI-) and gene expression profiling was measured using Affymetrix GeneChip U133 Plus 2 arrays.
 
Contributor(s) Ivanov I, Lo KC, Hawthorn L, Cowell JK, Ionov Y
Citation(s) 17086209
Submission date Aug 09, 2006
Last update date Mar 25, 2019
Contact name Ken Lo
E-mail(s) ken.lo@roswellpark.org
Phone 716-845-3941
Fax 716-845-3940
Organization name Roswell Park Cancer Institute
Department Cancer Genetics
Lab John Cowell
Street address Elm and Carlton Streets
City Buffalo
State/province NY
ZIP/Postal code 14263
Country USA
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (8)
GSM126417 LS180_Caff+Act
GSM126418 LS180_Caff+Act/Caff
GSM126419 LS180_Con
Relations
BioProject PRJNA96123

Download family Format
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Supplementary file Size Download File type/resource
GSE5486_RAW.tar 63.9 Mb (http)(custom) TAR (of CEL)

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