This repository contains the code and results of a comprehensive RNA-seq data analysis project that investigates the effect of TRPC6 inhibition in Breast Cancer Stem Cells (BCSC) enriched models. The primary goal of this analysis is to identify differentially expressed genes (DEGs) associated with TRPC6 inhibition in the context of BCSCs.
- Data Source: RNA-seq data from the GEO database (Accession: GSE242592)
- Experimental Design: Time-course experiment treating cells with a TRPC6 inhibitor for 6 and 12 hours, with DMSO as a control for the respective time points.
- Genomic Scope: Focuses on Homo sapiens (human) and is of medical relevance.
- Scripts: Contains R scripts used for data loading, quality control, normalization, and differential gene expression analysis.
- Data: Includes the original "COUNT" data and metadata used in the analysis.
- Plots: Features generated plots and visualizations to aid in the interpretation of DEGs.
- README: This file provides an introduction to the project, explanations of the analysis steps, and contact information.
- Explore the repository to understand how RNA-seq data analysis was conducted.
- Access the R code and scripts used for quality control, normalization, and DEG identification.
- Review the generated plots to gain insights into gene expression changes associated with TRPC6 inhibition in BCSCs.
- Utilize this repository as a reference for similar RNA-seq data analysis projects or for educational purposes.
If you have any questions, require additional information, or would like to discuss the analysis, please don't hesitate to reach out.