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Untangling the effects of cellular composition on coexpression analysis.

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Cellular composition significantly impacts gene coexpression analysis in bulk tissues. This study reveals that variation in cell types, not just gene regulation within cells, drives observed coexpression patterns in brain and blood.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • Coexpression analysis is crucial for understanding gene function and regulatory networks.
  • Bulk tissue studies often overlook cellular composition, a potential confounder.
  • The impact of cellular composition on coexpression has not been thoroughly investigated.

Purpose of the Study:

  • To investigate the influence of cellular composition on gene coexpression in human tissues.
  • To determine if cellular composition explains observed coexpression patterns in bulk tissue data.
  • To assess the implications for interpreting transcriptome profiling studies.

Main Methods:

  • Analysis of human brain and blood transcriptomes.
  • Quantification of cell type-specific gene expression variance.
  • Comparison of coexpression patterns in bulk versus single-cell data.
  • Assessment of composition correction methods.

Main Results:

  • Cell type differences account for a substantial portion of gene expression variance in bulk tissue (median R² = 0.68 for brain).
  • Similar expression patterns across cell types lead to correlated RNA levels in bulk tissue due to compositional variation.
  • Much of the observed coexpression and clustering in brain and blood transcriptomes is driven by cellular composition.
  • Composition-induced coexpression masks underlying intra-cell-type coexpression signals.

Conclusions:

  • Cellular compositional effects are the dominant driver of coexpression signals in complex tissues like brain and blood.
  • Existing coexpression analyses may overestimate intra-cell-type regulatory relationships.
  • Reinterpretation of coexpression analysis findings is necessary, considering cellular heterogeneity.