Results 181 to 190 of about 53,359 (288)
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
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley +1 more source
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang +10 more
wiley +1 more source
Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning. [PDF]
Brasiliano P +10 more
europepmc +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Reducing annotation burden in medical imaging with ADGNET: A semi-supervised deep learning strategy. [PDF]
Yang X.
europepmc +1 more source
UNSUPERVISED FEATURE SELECTION USING INCREMENTAL LEAST SQUARES
An unsupervised feature selection method is proposed for analysis of datasets of high dimensionality. The least square error (LSE) of approximating the complete dataset via a reduced feature subset is proposed as the quality measure for feature selection.
RONG LIU, ROBERT RALLO, YORAM COHEN
core
The eye–brain neuroimmune axis triggers immune activation and disrupts pathological neuronal connectivity to extend glioblastoma survival. ABSTRACT As an anatomical extension of the central nervous system (CNS), the eye harbors rich neural and immune interfaces with the brain. However, the integrated immunological and neurological nexus between the eye
Mingyue Cui +9 more
wiley +1 more source
A comparison of dimensionality reduction approaches for pre-treatment PSMA-PET/CT radiomics in prostate adenocarcinoma outcome prediction. [PDF]
Singh A +9 more
europepmc +1 more source

