Single Cell Analysis in Regenerative Lineages and Immune-mediated Pruning in Lung Cancer Metastasis (Jupyter Notebook)
UID: 11424
- 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."
- Access Restrictions
-
Free to All
- Access Instructions
- Available for download via GitHub
- Associated Publications
- Software Used
-
Python3
- Dataset Format(s)
- CSV, HTML, TXT, MD, IPYNB, GCT
- Dataset Size
- 14 MB
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