Results 201 to 210 of about 166,719,376 (246)

PEAR1 Promotes Glucose Metabolism Reprogramming in Sepsis‐Associated Acute Lung Injury via AARS1‐Mediated HIF‐1α Lactylation

open access: yesAdvanced Science, EarlyView.
This study revealed that a PEAR1/HIF‐1α/ glycolysis/lactate/H3K18la positive feedback loop in PMVECs that drives the development of S‐ALI. Mechanistically, PEAR1 mediates the binding of HIF‐1α to AARS1, leading to the lactylation of HIF‐1α, the primary lactylation site of which is K172.
Shuai Li   +15 more
wiley   +1 more source

Using Experience Based Co Design to Develop an AI-Powered Digital Learning Platform for Immunization in Pakistan

open access: yes
Ahmed W   +9 more
europepmc   +1 more source

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

open access: yesAdvanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr   +6 more
wiley   +1 more source

NSD2 Coordinates the Neurogenic‐to‐Gliogenic Transition via H3K36me2‐Dependent Activation of the EGFR‐ERK Pathway

open access: yesAdvanced Science, EarlyView.
NSD2 coordinates the neurogenic‐to‐gliogenic transition in the developing neocortex through H3K36me2‐dependent activation of EGFR–ERK signaling. Loss of NSD2 disrupts astroglial and oligodendroglial development, whereas ERK activation rescues gliogenic defects in vitro and in vivo.
Hanxue Chen   +7 more
wiley   +1 more source

Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation

open access: yesAdvanced Science, EarlyView.
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon   +6 more
wiley   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

open access: yesAdvanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su   +5 more
wiley   +1 more source

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