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Related Experiment Video

Updated: Jun 16, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Bimodal gene expression patterns in breast cancer.

Marina Bessarabova1, Eugene Kirillov, Weiwei Shi

  • 1Russian Academy of Sciences, Vavilov Institute for General Genetics, ul. Gubkina, 3, Moscow, Russia. bessarabova@genego.com

BMC Genomics
|February 18, 2010
PubMed
Summary

Researchers found specific genes with a bimodal distribution in breast cancer patients across multiple studies. These genes form coordinated groups, suggesting potential roles in breast cancer development and as diagnostic markers.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Gene expression patterns in breast cancer are complex and varied.
  • Identifying robust molecular markers is crucial for understanding cancerogenesis.
  • Previous studies have not extensively focused on gene expression bimodality in breast cancer.

Purpose of the Study:

  • To identify genes exhibiting a bimodal expression pattern in breast cancer.
  • To investigate the prevalence and characteristics of these bimodal genes across different studies and platforms.
  • To explore the potential of bimodal gene clusters as functional modules in breast cancer.

Main Methods:

  • Analysis of gene expression data from multiple breast cancer studies.
  • Application of statistical methods to detect bimodal gene expression distributions.

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Related Experiment Videos

Last Updated: Jun 16, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
11:12

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

  • Gene clustering and co-expression network analysis.

    • Main Results:

    • A set of genes with significant bimodal expression was identified in breast cancer patients.
    • Bimodality was consistently observed across various microarray platforms and patient cohorts.
    • Bimodal genes were found to cluster in small, synchronized expression groups (4-6 genes).
    • These clusters formed distinct network modules potentially involved in breast cancer.

    Conclusions:

    • Bimodal gene expression is a notable feature in breast cancer, suggesting distinct biological states.
    • Synchronized expression within gene clusters indicates coordinated functions.
    • These bimodal gene modules represent promising candidates for robust diagnostic or prognostic biomarkers in breast cancer.
    • Further research into these network modules could elucidate key mechanisms in breast cancer development.