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

Area of Science:

• Genomics
• Transcriptomics
• Human Biology

Background:

• Categorizing protein-encoding transcriptomes into housekeeping and tissue-selective genes is crucial for understanding genetic functions and tissue-specific diseases.
• Previous studies were limited by small sample sizes, leading to low gene identification consensus.

Purpose of the Study:

• To develop a robust method for identifying housekeeping (HK) and tissue-selective (TS) genes using a comprehensive dataset.
• To provide a high-quality resource for future research on gene function and disease association.

Main Methods:

• Compiled 1,431 samples across 43 normal human tissues from 104 microarray datasets.
• Developed a novel method for improved gene expression assessment, requiring over ten samples for robust transcriptome identification.
• Performed functional enrichment analysis on identified gene lists.

Main Results:

• Identified 2,064 housekeeping genes involved in fundamental cellular functions.
• Identified 2,293 tissue-selective genes related to tissue-specific functions and diseases.
• Demonstrated that sufficient sample size significantly improves the accuracy of tissue transcriptome identification.

Conclusions:

• Sufficient sample size is critical for accurate identification of tissue-specific protein-encoding transcriptomes.
• The identified HK and TS genes, validated by meta-analysis, represent a high-quality resource.
• This study offers valuable insights into the functional and genomic characteristics of HK and TS genes.