Single-cell transcriptomic analysis of a rare ovarian small cell neuroendocrine carcinoma reveals distinct regulatory networks and links HOXB2 expression to ...
Researchers combining transcriptomic data and cell experiments found that elevated VSIG4 expression correlates with disease severity and may contribute to ...
Researchers integrated liver transcriptomics, Mendelian randomization, and machine learning to identify an exploratory six-gene signature that separated acute-on-chronic liver failure ...
A computational transcriptomic analysis demonstrates that sex differences in metabolic liver disease are defined by pathway architecture and continuous severity ...
A multi-cohort bioinformatic analysis confirmed by laboratory assays identified four programmed cell death genes as potential diagnostic biomarkers for lung ...
Researchers found that fibroblast activation protein promotes vascular smooth muscle cell migration and neointimal hyperplasia, driving restenosis after surgery for ...
Researchers combining transcriptomic network analysis with clinical tissue assays identified transcription factor CEBPB as a reliable diagnostic biomarker significantly upregulated ...
A multicohort transcriptomic integration and machine learning framework identifies core hub gene signatures that classify myelodysplastic syndromes with over ninety-nine ...
A cross-disease transcriptomic study and mouse model demonstrate that allergic sensitization exacerbates tic-like stereotypies alongside reduced GPX7 expression and heightened ...
Researchers have identified five shared inflammatory hub genes between periodontitis and systemic lupus erythematosus through integrated transcriptomic screening and clinical ...
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