Results 141 to 150 of about 8,399 (256)

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

open access: yesAdvanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen   +5 more
wiley   +1 more source

A strategy for the conservation of biodiversity on mid-ocean ridges from deep-sea mining. [PDF]

open access: yesSci Adv, 2018
Dunn DC   +17 more
europepmc   +1 more source

Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L

open access: yesAdvanced Science, EarlyView.
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen   +12 more
wiley   +1 more source

Probabilistic ecological risk assessment for deep-sea mining: A Bayesian network for Chatham Rise, Pacific Ocean. [PDF]

open access: yesEcol Appl
Kaikkonen L   +7 more
europepmc   +1 more source

Endothelial miR‐15a/16‐1 Regulation of SYNE1 Mediates Structural and Functional Recovery after Traumatic Brain Injury

open access: yesAdvanced Science, EarlyView.
Endothelial miR‐15a/16‐1 deletion promotes long‐term recovery after traumatic brain injury by restoring SYNE1 expression. Enhanced endothelial SYNE1 preserves vascular integrity, protects white and gray matter, and improves neurological function. The endothelial miR‐15a/16‐1–SYNE1 axis emerges as a key regulator of neurovascular repair and a potential ...
Shun Li   +17 more
wiley   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

open access: yesAdvanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang   +9 more
wiley   +1 more source

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