Identification of Human Housekeeping Genes and Tissue-Selective Genes by Microarray Meta-Analysis
2011

Identifying Human Housekeeping and Tissue-Selective Genes

Sample size: 1431 publication 10 minutes Evidence: high

Author Information

Author(s): Chang Cheng-Wei, Cheng Wei-Chung, Chen Chaang-Ray, Shu Wun-Yi, Tsai Min-Lung, Huang Ching-Lung, Hsu Ian C.

Primary Institution: National Tsing Hua University

Hypothesis

Sufficient sample sizes improve the identification of protein-encoding transcriptomes in human tissues.

Conclusion

The study successfully identified 2,064 housekeeping genes and 2,293 tissue-selective genes, demonstrating that larger sample sizes enhance gene identification.

Supporting Evidence

  • The study compiled 1,431 samples from 43 normal human tissues.
  • More than ten samples are needed to robustly identify the protein-encoding transcriptome of a tissue.
  • Functional enrichment analysis showed that housekeeping genes are involved in fundamental cellular functions.
  • Tissue-selective genes are related to functions and diseases corresponding to their tissue origin.

Takeaway

This study looked at many samples from different human tissues to find important genes that are always active or only active in certain tissues.

Methodology

The study used a meta-analysis of 1,431 samples from 43 normal human tissues to identify housekeeping and tissue-selective genes.

Potential Biases

Potential biases may arise from the selection of samples and the methods used for gene identification.

Limitations

The study may have limitations due to the variability in sample quality and the representativeness of the tissues analyzed.

Participant Demographics

The study analyzed samples from normal human tissues without specific demographic details.

Statistical Information

P-Value

p<2.9×10−11

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0022859

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