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COVID_BBB_GSEA project

Investigating the impact of COVID infections on the blood-brain barrier using GSEA and GEO datasets. GEO datasets used: GSE167000 (Idnetification & Verification) GSE179923 (Verification)

Objective:

Explore gene expression changes at the blood-brain barrier in response to COVID infections.

Methodology:

Performed Gene Set Enrichment Analysis (GSEA) using datasets obtained from GEO.

Key Findings:

Identified gene expression patterns indicative of blood-brain barrier dysfunction in COVID-infected individuals.

Dependencies:

  • Python 3
  • R
  • GSEA software

Contributing:

Contributions and feedback are welcome! Please submit bug reports or feature requests via GitHub issues.

License:

This project is licensed under the MIT License.

Acknowledgments:

Special thanks to Dr Laura Harris (https://github.com/oesterei) for providing entire Python script (GSEA_Script.ipynb) that made the Analysis possible along with guidance and support throughout the project.

Project Status:

Work in progress.

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GSEA-based transcriptomic analysis of COVID-19 impact on blood-brain barrier gene expression using GEO datasets (GSE167000, GSE179923)

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