Results 191 to 200 of about 136,187 (283)
InsectBase 3.0: a comprehensive multi-omics resource for insects. [PDF]
Wang Z +10 more
europepmc +1 more source
GlycoChat Uncovers Glycan–Lectin Circuits in the Tumor Microenvironment of Pancreatic Cancer
Aberrant glycosylation drives cancer progression, yet its role in the tumor microenvironment remains unclear. We developed GlycoChat to map glycan–lectin circuits at single‐cell resolution. We discovered that cancer cells induce immunosuppressive macrophage differentiation and impair phagocytosis through interactions with CLEC10A and SIGLEC3 ...
Dinh Xuan Tuan Anh +8 more
wiley +1 more source
Statistical modelling of an outcome variable with integrated multi-omics. [PDF]
Li H +3 more
europepmc +1 more source
Principles for Rigorous Design and Application of Synthetic Microbial Communities
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang +21 more
wiley +1 more source
Multi-omics in cardiac arrest: a systematic review. [PDF]
Ye H +8 more
europepmc +1 more source
Cancer‐Like Fragmentomic Characteristics of Somatic Variants in Cell‐Free DNA
We report that in non‐cancerous subjects, cell‐free (cfDNA) molecules harboring somatic variants exhibit cancer‐like fragmentomic characteristics associated with clonal hematopoiesis. Importantly, these somatic variant‐associated fragmentomic aberrations are more pronounced in cancer patients. Leveraging such somatic variant‐associated signals in cfDNA,
Zhenyu Zhang +12 more
wiley +1 more source
Multi‑omics reveal neutrophil heterogeneity in sepsis (Review). [PDF]
Lin ZQ +12 more
europepmc +1 more source
Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin +26 more
wiley +1 more source
Editorial: The application of multi-omics analysis in translational medicine. [PDF]
Huang H, Chetty M.
europepmc +1 more source

