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Gene Group Analysis 1.0 - Deciphering Biological Mechanisms in Estrogen Receptor-Positive and Negative Breast Cancer

Explore gene expression data from tumor samples to uncover the underlying biological mechanisms driving differences in Estrogen Receptor status. This methodology, developed with Dr. John Quackenbush, allows for in-depth analysis of Estrogen Targets, Estrogen and Cancer, and Gene Activation in Breast Cancer.

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Gene Group Analysis 1.0 - Deciphering Biological Mechanisms in Estrogen Receptor-Positive and Negative Breast Cancer

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  1. GeneGroupAnalysis1.0.0-BetaCS Alejandro Quiroz-Zárate John Quackenbush lab http://compbio.dfci.harvard.edu/compbio

  2. The “usual” analysis

  3. The Key Idea • This methodology was developed with Dr. John Quackenbush

  4. GeneGroupAnalysis 1.2.0

  5. Go to • Example (real data set) • Gene expression from tumor samples • 209 ER+ and 135 E- • GEO reference accession numbers:GSE2034,GSE5327 • Affymetrix U133A • Conceive the data set with aCross-Sectional Design • Question of interest: • What are the biological mechanisms that drive the differences in Estrogen Receptor status?

  6. Estrogen Targets Tissues

  7. Estrogen and Cancer

  8. Estrogen Receptors Trigger Gene Activation

  9. Estrogen Receptor-Negative Breast Cancer

  10. Analysis

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