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Single Cell Analysis in Regenerative Lineages and Immune-mediated Pruning in Lung Cancer Metastasis (Jupyter Notebook)

UID: 11424

Author(s): Kottapalli, Sanjay Venkata*, Chun, Jaeyoung* * MSK affiliated

Description
Description from GitHub:

"We used droplet-based single-cell RNA sequencing (scRNA-seq) and graph-based phenotypic analysis to explore tumor cell heterogeneity through the lens of epithelial regeneration in lung cancer metastasis, and to assess parallels between tumor cell plasticity and developmental hierarchies. Using patient tumors as well as a mouse model of lung cancer metastasis, our analyses identify regenerative cell types and lineage promiscuity in untreated primary tumors and reveal a range of embryonic lung morphogenic states in metastases."
Subject(s)
Access Restrictions
Free to All
Access Instructions
Available for download via GitHub
Associated Publications
Software Used
Miniconda
Python3
Dataset Format(s)
CSV, HTML, TXT, MD, IPYNB, GCT
Dataset Size
14 MB
Data Catalog Record Updated
2024-11-26