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A unified framework for cell lineage statistics enables quantification of fitness landscapes and selection strength for any cellular lineage traits in a model-independent manner, and reveals the contributions of growth heterogeneity to population growth in diverse experimental model systems.

Structure-based designed chalcone and pyrazoline derivatives inhibited the ELF3-MED23 protein-protein interaction, leading to HER2 downregulation and retardation of tumor growth in HER2-positive gastric cancer.

Salicylic acid, the precursor to aspirin, is an anti-tumor agent that blocks protein acetylation.

Morphological profiling of untreated HCT116 cells using Cell Painting reveals a signature of bortezomib resistance, providing a proof-of-concept for the unbiased analysis of drug resistance.

Type I interferon signaling protects cells from the loss of epigenetic integrity, since it is activated in cells in response to accumulation of transcripts originating from normally silenced heterochromatin, caused by small-molecule-mediated nucleosome unfolding.

Cancer cell antigen presentation, a requirement for immune-mediated tumor rejection, is induced by dihydroorotate dehydrogenase-inhibitor-mediated cancer cell pyrimidine nucleotide depletion via P-TEFb-dependent transcriptional upregulation of MHC-I and related genes.

The mechanistic characterization of NF-κB transcription inhibition by anthracyclines opens new possibilities for improved cancer chemotherapy and the treatment of inflammation-driven conditions.

Libraries of patient-derived tumor organoids are a reliable and scalable model system that can help identify and optimize targeted therapies in a pre-clinical setting.

Pup-On-target for Small molecule Target Identification Technology, POST-IT, is a revolutionary tool for accurately identifying protein targets of bioactive molecules in living cells and organisms, successfully identifying SEPHS2 and VPS37C as targets for dasatinib and hydroxychloroquine, respectively.