Results 231 to 240 of about 5,828,673 (370)

Targeting Multilayered Metabolic Networks in Brain Diseases: Emerging Perspectives on Nanodelivery Strategies

open access: yesAdvanced Science, EarlyView.
Brain diseases involve multilayered metabolic disruptions that reshape cellular interactions and microenvironments. This review outlines core metabolic features across disease states and presents emerging nanodelivery strategies as precision tools to reprogram pathological metabolism.
Jingyi Zhou, Chen Jiang
wiley   +1 more source

AGAPIR: A Novel PIWI‐Interacting RNA Enhancing Post‐Decompression Angiogenesis in Degenerative Cervical Myelopathy

open access: yesAdvanced Science, EarlyView.
The restoration of blood flow following surgical decompression for degenerative cervical myelopathy (DCM) significantly contributes to the amelioration of neurological deficits. This study identifies AGAPIR, an angiogenesis‐associated PIWI‐interacting RNA, enhances angiogenesis and motor function recovery post‐spinal cord decompression in a mouse model
Yongheng Xie   +8 more
wiley   +1 more source

Phosphorylation-Induced Self-Coacervation versus RNA-Assisted Complex Coacervation of Tau Proteins. [PDF]

open access: yesJ Am Chem Soc
Allahyartorkaman M   +10 more
europepmc   +1 more source

α-Synuclein Binds to Tau and Stimulates the Protein Kinase A-catalyzed Tau Phosphorylation of Serine Residues 262 and 356

open access: hybrid, 1999
Poul Henning Jensen   +5 more
openalex   +1 more source

Site-specific Phosphorylation of Tau Accompanied by Activation of Mitogen-activated Protein Kinase (MAPK) in Brains of Niemann-Pick Type C Mice [PDF]

open access: hybrid, 2001
Naoya Sawamura   +7 more
openalex   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

open access: yesAdvanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang   +13 more
wiley   +1 more source

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