/BRCA_RNA-Seq_Analysis

RNA-seq analysis workflow using DESeq2

Primary LanguageR

BRCA_RNA-Seq_Analysis

Code repository for the manuscript "Cell type specific functional effects of different BRCA1 and BRCA2 pathogenic mutations in breast and ovarian cancer precursor cells"

Differential Expression Analysis of 8 different conditions

  1. FT282-BRCA1_OCR vs Control
  2. FT282-BRCA2_OCR vs Control
  3. FT282-BRCA1_OCR vs FT282-BRCA2_OCR
  4. MCF10A-BRCA1_OCR vs Control
  5. MCF10A-BRCA2_BCR vs Control
  6. MCF10A-BRCA1_OCR vs MCF10A-BRCA2_BCR
  7. MCF10A-BRCA1_OCR vs FT282-BRCA1_OCR
  8. MCF10A-BRCA2_BCR vs FT282-BRCA2_OCR

Files

Countdata.csv - Raw counts used in the statistical programs downstream for differential gene expression where each row is a gene and eash column is a sample.

DESeq2_FT282-BRCA2_OCR vs Controls.r - R code for Differential expression analysis using countdata.

diffexpr-results_Control_vs_BRCA2.csv - Differentially expressed genes results generated from DESeq2 and further used for enrichment analysis.

Enrichment_Analysis.R - Enrihcemnt analysis that generates DotPlots and GOPlots with enrichment GO categories after FDR control.

Mismatch_repair.txt - Mismatch repair pathway genes from KEGG database.

p53_signaling_pathway.txt - p53 signaling pathway genes from KEGG database.

pathway_analysis.R - Specific pathway analysis

  • We performed differential expression analysis for each of the eight conditions using the same workflow.