Identifying Human Housekeeping and Tissue-Selective Genes
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)
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