Results 41 to 50 of about 32,392 (245)
MiR‐940 Suppresses Ferroptosis by Controlling Expression of Key Regulatory Genes
A CRISPR‐based screening identified miR‐940 as a critical suppressor of ferroptosis in cancer. By coordinating the downregulation of pro‐ferroptotic genes with the upregulation of GPX4, miR‐940 establishes a regulatory network that protects against ferroptosis and correlates with poor clinical outcomes in distinct cancer entities.
Andrea Kolak +19 more
wiley +1 more source
Radioresistance severely limits the efficacy of therapies for small cell lung cancer (SCLC). This study reveals a novel mechanism of resistance driven by the active suppression of pyroptosis. Specifically, the mTORC2 complex directly phosphorylates GSDME‐N and promotes its CUL4B‐mediated ubiquitination and proteasomal degradation.
Qing‐qing Xu +11 more
wiley +1 more source
Lipidomics in Health and Diseases - Beyond the Analysis of Lipids [PDF]
published_or_final_versio
Li, M, Wang, Y, Fan, P
core +1 more source
CCT2 Promotes Prostate Cancer Progression Through EIF3F‐Dependent Stabilization of FASN
ABSTRACT Prostate cancer (PCa) is increasingly recognized to be driven by dysregulated lipid metabolism. Although fatty acid synthase (FASN) is highly expressed in PCa, the mechanisms governing FASN protein stability and its functional integration into oncogenic lipid metabolism remain poorly defined.
Shun Xu +13 more
wiley +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
Advancing Semen Evaluation Using Lipidomics
Developing a deeper understanding of biological components of sperm is essential to improving cryopreservation techniques and reproductive technologies.
Dinh, Thu T.N. +9 more
core +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Lipidomics analysis datasheet of human MIGA2 soluble portion (purified from Expi293 cells and gel filtrated)
Zhouping Hong
core +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source

