Frog Tail Regeneration Analysis

This project aims to explore the regenerative capabilities of the Xenopus laevis tadpole tail using single-cell RNA sequencing (scRNA-seq) data. The analysis identifies key cell populations involved in tail regeneration, with a focus on Regeneration-Organizing Cells (ROCs).

Requirements

The code requires Python 3 and the following Python libraries:

• Scanpy
• AnnData
• NumPy
• Pandas
• SciPy
• Matplotlib
• scikit-learn

These can be installed via pip:

pip install scanpy anndata numpy pandas scipy matplotlib scikit-learn

Data Access

The scRNA-seq data is available from EBI Biostudies. It can also be accessed through the Courseworks platform.

Results

• UMAP Visualization: Clustering results are visualized using UMAP to represent different cell populations.
• Marker Genes: Specific marker genes for the ROC cluster are identified, providing insights into the regenerative process.