Results 181 to 190 of about 40,502 (261)

Transcriptional and epigenetic targets of MEF2C in human microglia contribute to cellular functions related to autism risk and age-related disease. [PDF]

open access: yesNat Immunol
Nguyen C   +20 more
europepmc   +1 more source

Human Atlas of Tooth Decay Progression: Identification of Cellular Mechanisms Driving the Switch from Dental Pulp Repair Toward Irreversible Pulpitis

open access: yesAdvanced Science, Volume 13, Issue 8, 9 February 2026.
Tooth decay progression transforms the dental pulp response from repair to fibrosis. At early stages, stromal cells reprogram to repair the extra cellular matrix (ECM), blood vessels, and nerves, remodel and grow, keeping repair possible. In advanced decay, hypoxia, and vessel regression, in complement with an immune switch, fuel nerve degeneration and
Hoang Thai Ha   +12 more
wiley   +1 more source

Alternative Pathway for Methyl Supply through the Coupling of SHMT1 and PEMT to Maintain Astrocytic Homeostasis in Parkinson's Disease

open access: yesAdvanced Science, Volume 13, Issue 7, 3 February 2026.
In Parkinson's disease, SHMT1 downregulation disrupts its interaction with PEMT in astrocytes, reducing SAM levels. This leads to H3K4me1 hypomethylation and decreased Slc1a2/Glul expression, ultimately exacerbating neuroexcitotoxicity and dopaminergic neuron loss.
Yue‐Han Chen   +17 more
wiley   +1 more source

EXTENDED HYPERGEOMETRIC FUNCTIONS OF TWO AND THREE VARIABLES

open access: yesCommunications of the Korean Mathematical Society, 2015
PRAVEEN AGARWAL   +2 more
openaire   +2 more sources

EIF5A Couples Translational Control With Transcriptional Reprogramming Through Chromocenter Reorganization During Spermiogenesis

open access: yesAdvanced Science, Volume 13, Issue 9, 13 February 2026.
The translation factor Eukaryotic translation initiation factor 5A (eIF5A) is essential for male fertility in mice. It supports the translation of proteins crucial for heterochromatin organization and acrosome formation. eIF5A deficiency disrupts chromocenter integrity, increases chromatin accessibility, and causes transcriptional dysregulation ...
Yuling Cai   +15 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, Volume 13, Issue 9, 13 February 2026.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

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