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Related Experiment Video

Updated: Jul 1, 2026

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes
08:23

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Meta-analysis and profiling of cardiac expression modules.

Uri David Akavia1, Dafna Benayahu

  • 1Department of Cell and Developmental Biology, Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.

Physiological Genomics
|September 11, 2008
PubMed
Summary

Researchers used the Module Map algorithm to identify gene groups associated with heart stress. This analysis revealed new insights into immune system, energy metabolism, and osteogenesis gene roles in heart failure.

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Area of Science:

  • Genomics
  • Computational Biology
  • Cardiovascular Science

Background:

  • Heart failure is a complex disease with incompletely understood molecular mechanisms.
  • Identifying gene expression patterns under stress is crucial for understanding disease progression.

Purpose of the Study:

  • To apply the Module Map algorithm for large-scale gene expression analysis in heart stress.
  • To identify novel gene modules and pathways involved in cardiac response to stress and failure.

Main Methods:

  • Utilized the Module Map algorithm on 700 mouse gene expression datasets from the Gene Expression Omnibus database.
  • Analyzed gene expression patterns across various conditions of heart stress.

Main Results:

Related Experiment Videos

Last Updated: Jul 1, 2026

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes
08:23

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

  • Identified 884 gene modules, computationally predicting biological pathways.
  • Reconstructed known cardiac stress response pathways, validating the algorithm's efficacy.
  • Revealed the involvement of immune system genes in heart remodeling and failure.
  • Observed altered expression of genes related to energy metabolism and contractile proteins post-myocardial infarction.
  • Discovered a novel correlation between osteogenesis-related genes (Runx2, Ahsg) and heart failure.

    • Conclusions:

    • The Module Map algorithm is a powerful tool for uncovering molecular mechanisms of complex diseases like heart failure.
    • This study highlights the significant roles of immune, metabolic, and osteogenic pathways in cardiac dysfunction.
    • Provides a new framework for correlating clinical conditions with molecular-level changes.