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Single-cell multiomics reveals the gene regulatory networks and enhancer logic underlying two distinct wound response cell states in the Drosophila wing imaginal disc and finds similarities with cell states observed in the Ras-scrib tumor model.

Amino acid codon degeneracy indicates antigen-specific selection of the T cell receptors and is predictive of cancer immunotherapy outcomes.

Prdm1 (BLIMP1) promotes liver Group 1 ILCs cancer surveillance and preserves functional heterogeneity.

Integrated molecular analysis demonstrated that colorectal cancer can be classified into four molecular subtypes (proliferative, immunomodulatory, immunosuppressed, and immune-excluded subtypes), providing valuable insight into the intricate relationship between tumor microenvironment heterogeneity and various clinical phenotypes.

The transcriptional landscape of epicardial cells revealed 11 cell populations that differentially expressed early cardiac genes and numerous cardioprotective paracrine factors defining their regenerative potential.

Multiplexing and digital analysis of melanoma tissue describe functionally the microenvironment associated with brisk/non-brisk infiltrates and expose the functional incongruences of this morphological classification currently in use for tumor-infiltrating lymphocytes.

An in vivo reporter of TGFb signaling in zebrafish reveals that melanoma cells undergoing chronic TGFb signaling up-regulate extracellular matrix genes, down-regulate IFN, and are preferentially phagocytosed by macrophages compared to non-TGFb responsive melanoma cells.

A new type of mRNAs-loaded CD133⁺ vesicles, named intercellsome, mediate cell-cell communications to compensate intracellular proliferative signal deficit, representing a previously unrecognized mechanism of cell proliferation under stress.

Extrachromosomal DNA containing tumors up-regulate DNA damage and repair, cell cycle control, and mitotic processes, but down-regulate global immune regulation pathways, suggesting new avenues for therapeutic intervention.

Single-cell RNA sequencing of biopsy samples from advanced-stage lung cancer reveals tumor and immune cell features associated with response to immune checkpoint therapy.