GENT : gene expression database of normal and tumor tissues = 정상 및 암 조직의 유전자 발현 데이터베이스 GENT

Cited 151 time in scopus
Metadata Downloads
Title
GENT : gene expression database of normal and tumor tissues = 정상 및 암 조직의 유전자 발현 데이터베이스 GENT
Author(s)
G Shin; Tae-Wook Kang; S Yang; Su Jin Baek; Y S Jeong; Seon-Young Kim
Bibliographic Citation
Cancer Informatics, vol. 10, pp. 149-157
Publication Year
2011
Abstract
Background: Some oncogenes such as ERBB2 and EGFR are over-expressed in only a subset of patients. Cancer outlier profile analysis is one of computational approaches to identify outliers in gene expression data. A database with a large sample size would be a great advantage when searching for genes over-expressed in only a subset of patients. Description: GENT (Gene Expression database of Normal and Tumor tissues) is a web-accessible database that provides gene expression patterns across diverse human cancer and normal tissues. More than 40000 samples, profiled by Affymetrix U133A or U133plus2 platforms in many different laboratories across the world, were collected from public resources and combined into two large data sets, helping the identification of cancer outliers that are over-expressed in only a subset of patients. Gene expression patterns in nearly 1000 human cancer cell lines are also provided. In each tissue, users can retrieve gene expression patterns classified by more detailed clinical information. Conclusions: The large samples size (> 24300 for U133plus2 and.> 16400 for U133A) of GENT provides an advantage in identifying cancer outliers. A cancer cell line gene expression database is useful for target validation by in vitro experiment. We hope GENT will be a useful resource for cancer researchers in many stages from target discovery to target validation. GENT is available at http://medical genome.kribb.re.kr/GENT/ or http://genome.kobic.re.kr/GENT/.
Keyword
AffymetrixCancerGene expressionHuman tissues
ISSN
1176-9351
Publisher
Libertas Academica
DOI
http://dx.doi.org/10.4137/CIN.S7226
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
Files in This Item:

Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.