Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis.

ABSTRACT:

Background

Categorizing protein-encoding transcriptomes of normal tissues into housekeeping genes and tissue-selective genes is a fundamental step toward studies of genetic functions and genetic associations to tissue-specific diseases. Previous studies have been mainly based on a few data sets with limited samples in each tissue, which restrained the representativeness of their identified genes, and resulted in low consensus among them.

Results

This study compiled 1,431 samples in 43 normal human tissues from 104 microarray data sets. We developed a new method to improve gene expression assessment, and showed that more than ten samples are needed to robustly identify the protein-encoding transcriptome of a tissue. We identified 2,064 housekeeping genes and 2,293 tissue-sele

SUBMITTER: Chang CW 

PROVIDER: S-EPMC3144958 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature