Results 151 to 160 of about 426,231 (268)
This study uncovers a metabolic‐epigenetic axis licensing zygotic genome activation (ZGA) in mouse embryos. A developmental decline in NAD+ levels activates PARP7, which mono‐ADP‐ribosylates and stabilizes UHRF1. This modification promotes the establishment of permissive histone acetylation marks, thereby facilitating timely ZGA.
Guangyi Cao +13 more
wiley +1 more source
Influence of Cryopreservation of Pre-Implantation Embryos on the Epigenome. [PDF]
Trapphoff T +4 more
europepmc +1 more source
CHCHD10 loss in Alzheimer's disease is associated with mitochondrial dysfunction, epigenomic disruption, and tau pathology. Restoration of CHCHD10 shifts DNA methylation toward a non‐disease state and reduces tau and amyloid pathology, with KATNAL2 acting as a downstream effector.
Teresa M. Thomas +13 more
wiley +1 more source
Associations between peripheral blood whole-genome DNA methylation and obesity in young Chinese males. [PDF]
Nong M, Lu H, Zhao M, Xiao L.
europepmc +1 more source
Human neutrophils exist as two epigenetically imprinted subtypes defined by stable CD177 expression or absence — a ratio that persists across time, circadian rhythms, and inflammation. CD177− neutrophils display a distinct molecular landscape enriched in arginase 1 and lipid metabolism markers, accumulate in head‐and‐neck tumors, and associate with ...
Marcel Jung +39 more
wiley +1 more source
DNA Methylation Variation in Blood Cells may Impact Platelet Function. [PDF]
Teichman J +13 more
europepmc +1 more source
This study shows that in glioma stem cells (GSCs), RBM12 recruits ALKBH5 to remove m6A from SLC7A5 transcripts, thereby enhancing mRNA stability, which elevates large neutral amino acid (LNAA) levels and activates mTORC1, promoting GSC proliferation, self‐renewal, and tumor growth.
Hong Lei +18 more
wiley +1 more source
Histone Methylation: A Pivotal Epigenetic Driver of the Malignant Transformation of MASLD-HCC. [PDF]
Zhang Y +9 more
europepmc +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Haplotype-resolved methylomes reveal parent-of-origin DNA methylation imbalance in autism spectrum disorder. [PDF]
Xia L +31 more
europepmc +1 more source

