A single-cell regulatory network analysis of therapy-associated cell state remodeling to inform combination strategies in osteosarcoma and single-cell profiling reveals drug effects missed by bulk efficacy measures is extended.
J. Pavisic, Chelsey M. Burke, Dao-Qi You et al.· Cancer Research· 0 citations
The development of new therapeutics and the validation of pathogenetic cancer mechanisms require representative laboratory models1,2. However, existing collections represent only a fraction of the diversity observed in human cancer2, 3–4. Recent technologies have enabled efficient in vitro model derivation (for example...
Dina Elharouni, Mushriq Al-Jazrawe, Seongmin Choi et al.· Nature· 3 citations
The authors apply ARACNe and metaVIPER to published scRNA-seq datasets to characterize pancreatic cancer subtypes, identifying six distinct cell states as well as their mechanistic determinants.
P. Laise, Mikko M. Turunen, Álvaro Curiel-García et al.· Nature Genetics· 1 citation
A multi-omics framework that infers context-specific protein activities from transcriptomic, phosphoproteomic, and protein correlation-based protein-protein interaction data is introduced, integrating modality-specific algorithms via network diffusion.
George A. Rosenberger, Peng Xue, Isabell Bludau et al.· Molecular Systems Biology· 0 citations
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