Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression profiling of 36 types of normal human tissues to identify tissue-specific genes

ABSTRACT: We performed expression profiling of 36 types of normal human tissues and identified 2,503 tissue-specific genes. We then systematically studied the expression of these genes in cancers by re-analyzing a large collection of published DNA microarray datasets. Our study shows that integration of each gene's breadth of expression (BOE) in normal tissues is important for biological interpretation of the expression profiles of cancers in terms of tumor differentiation, cell lineage and metastasis. Twenty five total RNA specimens were purchased from Clontech (Palo Alto, CA), Ambion (Austin, TX) and Strategene (La Jolla, CA). We tried to cover as many tissue types as possible by using pooled RNA samples. In order to define breadth-of-expression (BOE) accurately at a reasonable cost, we tried to cover as many tissue types as possible by using pooled RNA samples. Each specimen represents a human organ. We used RNA samples pooled from 2 to 84 donors to avoid differences at the individual level. Keywords = Normal human tissues Keywords = Tissue-specificity Detailed sample information and Affymetrix .CEL files are available at http://www.genome.rcast.u-tokyo.ac.jp/normal/ Publication:Ge X et al., Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues. Genomics. 2005 Aug;86(2):127-141. PMID: 15950434 Keywords: other. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: Xijin Ge

PROVIDER: E-GEOD-2361 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues.

Ge Xijin X Yamamoto Shogo S Tsutsumi Shuichi S Midorikawa Yutaka Y Ihara Sigeo S Wang San Ming SM Aburatani Hiroyuki H

Genomics 20050801 2

A critical and difficult part of studying cancer with DNA microarrays is data interpretation. Besides the need for data analysis algorithms, integration of additional information about genes might be useful. We performed genome-wide expression profiling of 36 types of normal human tissues and identified 2503 tissue-specific genes. We then systematically studied the expression of these genes in cancers by reanalyzing a large collection of published DNA microarray datasets. We observed that the ex ...[more]

PMID: 15950434

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Dataset Information

Expression profiling of 36 types of normal human tissues to identify tissue-specific genes

Publications

Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues.

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