BioParity.UFO / UAP research

2 sources for “Cancer cell models”

Results

PaperS7603

Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line

Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath. ebi.ac.uk. May 11, 2020.

The authors infer different routes to early drug tolerance within one cultured melanoma cell line and test selected drug combinations. The inferred barrier was not measured. Negative inhibitor assays, dependence among cell snapshots and possible normal-tissue toxicity qualify the results; clinical efficacy was not established.

Complete supplied main text; partial supplemental visuals
PaperS7695

Quantitative characterization of tissue states using multiomics and ecological spatial analysis

Daisy Yi Ding, Zeyu Tang, Bokai Zhu, Hongyu Ren, Alex K. Shalek, Robert Tibshirani, Garry P. Nolan. pmc.ncbi.nlm.nih.gov. April 1, 2025.

This computational study reanalyses existing tissue datasets to describe spatial cell diversity and infer molecular relationships. Its liver comparison has one tissue per condition, subdivided into ten regions; these are not ten patients. Colorectal-cancer survival models use internal validation. Nolan is explicitly acknowledged for NIH support and two FDA Medical Countermeasures Initiative contracts. Those public acknowledgements establish reported research support, without verifying contract scope or a classified UAP approach.

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