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Methodological considerations for gene expression profiling of human brain.

Mary Atz1, David Walsh, Preston Cartagena

  • 1Department of Psychiatry and Human Behavior, College of Medicine, University of California, Irvine, CA, USA.

Journal of Neuroscience Methods
|May 22, 2007
PubMed
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This summary is machine-generated.

Quality factors like RNA integrity, agonal factors, and pH significantly impact gene expression in postmortem brain tissue. RNA degradation accounted for the most variation, influencing mitochondrial gene analysis in neuropsychiatric studies.

Area of Science:

  • Neuroscience
  • Genomics
  • Bioinformatics

Background:

  • Postmortem brain gene expression profiles are crucial for understanding neuropsychiatric disorders.
  • Quality control variables can significantly impact the analysis and interpretation of gene expression data.
  • Identifying critical variables affecting gene expression in postmortem brain is essential.

Purpose of the Study:

  • To investigate the impact of quality covariables on gene expression analysis in postmortem brain tissue.
  • To identify critical factors influencing gene expression in two specific brain regions.
  • To assess the correlation between various quality indicators and gene expression outcomes.

Main Methods:

  • Identification of four main groups of quality indicators: clinical, tissue, RNA, and microarray quality.

Related Experiment Videos

  • Statistical analysis to determine correlations between quality indicators and gene expression.
  • Utilizing the AffyRNAdeg program to assess RNA degradation impact on gene expression variation.

    • Main Results:

    • Quality control indicators were significantly correlated, but no single variable explained all gene expression variance.
    • Agonal factors and low pH were associated with decreased RNA integrity in postmortem brain tissue.
    • RNA degradation was the most significant factor, explaining more variation than other quality factors and modulating mitochondrial gene expression.

    Conclusions:

    • Quality parameters, including RNA integrity, agonal factors, and pH, are critical for understanding gene expression differences in postmortem brain.
    • Post hoc analysis of candidate genes with quality parameters can enhance relevance to psychiatric disorders.
    • Clinical, tissue, RNA, and microarray quality indicators are valuable for study design, analysis, and interpretation in human postmortem studies.