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CD44v5 promotes triple-negative breast cancer cisplatin resistance by enhancing IL-4/IL-4Rα/STAT3 pathway and stabilizing membranous SLC7A11

Oncogenesis, Published online: 21 August 2026; doi:10.1038/s41389-026-00650-0

CD44v5 promotes triple-negative breast cancer cisplatin resistance by enhancing IL-4/IL-4Rα/STAT3 pathway and stabilizing membranous SLC7A11

A bivalent molecular glue linking lysine acetyltransferases to oncogene-induced cell death

Chemically induced proximity of lysine acetyltransferases (KATs) with BCL6 reprograms epigenetic signaling to eliminate lymphoma tumors. Structural and mechanistic studies demonstrate that fortuitous protein-protein contacts convert proximity induction into targeted changes in chromatin, revealing a key mechanism by which small molecules can co-opt oncogenic transcriptional regulators to elicit malignant cell death.

Lysine attenuates acute lung injury by restoring α-tubulin acetylation and ciliary activity

Cell Death Discovery, Published online: 16 March 2026; doi:10.1038/s41420-026-03025-x

Lysine attenuates acute lung injury by restoring α-tubulin acetylation and ciliary activity

Unraveling the role of cuproptosis in pulmonary fibrosis pathogenesis and prognosis: an integrative single-cell transcriptomics and microarray analysis

Mol Cell Biochem. 2026 Mar 13. doi: 10.1007/s11010-026-05510-4. Online ahead of print.

ABSTRACT

Pulmonary fibrosis (PF), a progressive interstitial lung disease with elusive pathogenesis, remains a therapeutic challenge. Emerging evidence suggests cuproptosis-a copper-dependent cell death pathway-may play a regulatory role in disease progression. This study aims to elucidate cuproptosis's biological function and establish a prognostic model for PF. Through integrative analysis of single-cell RNA-seq data from bleomycin (BLM)-induced mouse models and bulk RNA-seq data from idiopathic pulmonary fibrosis (IPF) patients, we identified cuproptosis-related genes (CRGs) using LASSO regression and Cox regression. A novel 4-CRG signature (LIAS, LIPT1, ATP7A, PDHB) was constructed to stratify patients into distinct risk groups in the GSE70866 cohort, where high-risk individuals exhibited poorer survival and enhanced extracellular matrix/lipid metabolism activity via GO/KEGG analysis. Experimental validation in BLM-induced mouse models, TGF-β1-stimulated fibroblast-to-myofibroblast transition assays, and human IPF specimens demonstrated significant downregulation of CRGs through qRT-PCR and immunohistochemical analyses. Functional assays revealed impaired cell viability and elevated cuproptosis markers in fibrotic microenvironments. Our findings establish an inverse correlation between cuproptosis and PF progression, and propose a robust risk-score model for clinical prognosis prediction. This multi-omics approach provides new insights into copper-mediated regulatory mechanisms in fibrogenesis.

PMID:41824199 | DOI:10.1007/s11010-026-05510-4

Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection

arXiv:2602.19114v1 Announce Type: cross Abstract: This paper introduces the Kaiwu-PyTorch-Plugin (KPP) to bridge Deep Learning and Photonic Quantum Computing across multiple dimensions. KPP integrates the Coherent Ising Machine into the PyTorch ecosystem, addressing classical inefficiencies in Energy-Based Models. The framework facilitates quantum integration in three key aspects: accelerating Boltzmann sampling, optimizing training data via Active Sampling, and constructing hybrid architectures like QBM-VAE and Q-Diffusion. Empirical results on single-cell and OpenWebText datasets demonstrate KPPs ability to achieve SOTA performance, validating a comprehensive quantum-classical paradigm.
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