Results 211 to 220 of about 591,798 (358)

Deciphering the Transcription Factor Landscape in Prostate Cancer Progression: A Novel Approach to Understand NE Transdifferentiation

open access: yesAdvanced Science, EarlyView.
The study deciphers the landscapes of lineage‐related transcription factors in prostatic adenocarcinoma and neuroendocrine prostate cancer using an innovative approach. These findings, validated across cohorts, highlight TFs' roles in cell development and offer novel therapeutic targets.
Yu Wang   +20 more
wiley   +1 more source

Risk of total hip arthroplasty after elite sport: linking 3304 former world-class athletes with the Norwegian Arthroplasty Register. [PDF]

open access: yesBr J Sports Med, 2022
Nilsen DH   +8 more
europepmc   +1 more source

Advancing the Identification of Bioactive Molecules and the Construction of a Synergistic Drug Delivery System in Combating Lung Injury

open access: yesAdvanced Science, EarlyView.
Traditional Chinese Medicine (TCM), while holistic and historically esteemed, faces challenges in “miracle cures” due to slow onset, long cycles, and difficulty controlling quality. This study obtains the active ingredients, glabridin (GLA) and puerarin (PUE), from Ge‐Gen Decoction (GGD), developing a safe and effective drug delivery system, GLA‐PUE ...
Jianhong Qi   +7 more
wiley   +1 more source

Genome‐Wide Association Studies Reveal the Genetic Architecture of Ionomic Variation in Grains of Tartary Buckwheat

open access: yesAdvanced Science, EarlyView.
In this study, variation and genetic basis of ionome among Tartary buckwheat population are investigated, illuminating their significance in the domestication and diversification of Tartary buckwheat. And three genes (FtACA13 for Na content, FtYPQ1 for Zn content, FtNHX2 for As content) are identified with the dominant haplotypes and functional ...
Zhirong Wang   +18 more
wiley   +1 more source

The Recovery Umbrella in the World of Elite Sport: Do Not Forget the Coaching and Performance Staff. [PDF]

open access: yesSports (Basel), 2021
Calleja-González J   +24 more
europepmc   +1 more source

Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids

open access: yesAdvanced Science, EarlyView.
An automated machine learning framework integrating environmental and genomic data enhances genetic analysis and genomic prediction in maize. By leveraging dimension‐reduced environmental parameters, it reveals trait‐environment relationships and identifies genetic markers that govern phenotypic plasticity and genotype‐by‐environment interactions.
Kunhui He   +12 more
wiley   +1 more source

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