This study integrates multi‐omics data and machine learning to reveal FLT1 as a central mediator of epithelial‐endothelial crosstalk in clear cell renal cell carcinoma (ccRCC). We demonstrate that FLT1‐associated signaling promotes a senescence‐enriched tumor microenvironment, driving malignant progression. Spatial and single‐cell analyses confirm FLT1
Mouyuan Sun +10 more
wiley +1 more source
Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis. [PDF]
She T, Sun F, Xie Z, Cao Y, Xu H.
europepmc +1 more source
Identification and validation of lactate‐related genes biomarkers for steroid‐induced osteonecrosis of the femoral head through integrated bioinformatics analysis, machine learning, and experimental verification. ABSTRACT Steroid‐induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young and middle‐aged adults. However,
Zehua Wang +7 more
wiley +1 more source
Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment. [PDF]
Xie C +5 more
europepmc +1 more source
Characterization of NLRP3 Inflammasome-Associated Hub Genes in the Progression of Diabetic Nephropathy. [PDF]
Zhao S +8 more
europepmc +1 more source
This graphical abstract illustrates the regulatory mechanism of the FOXC1‐ATP7A axis in Rheumatoid Arthritis (RA). Bioinformatics analysis identifies FOXC1 as a hub transcription factor that is significantly upregulated in RA synovial tissues and fibroblast‐like synoviocytes (FLSs).
Daomin Lu +9 more
wiley +1 more source
Identification and verification of key genes related to oxidative stress in type 2 diabetes and screening of candidate drugs from Traditional Chinese Medicine. [PDF]
Jingnan HU +5 more
europepmc +1 more source
Stage-Associated Cellular and Molecular Signatures in Diabetic Retinopathy Identified Through Integrated Bulk and Single-Cell Transcriptomic Analysis. [PDF]
Li Y +6 more
europepmc +1 more source
Hyperlipidemia-associated specific modules and hub genes revealed by integrative methods of WGCNA and MetaDE. [PDF]
Zhao Z, Cao Y, Gu A, Yao H.
europepmc +1 more source

