Results 131 to 140 of about 122,064 (264)

Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing

open access: yesAdvanced Science, EarlyView.
A novel CDA1Δ‐SpRY architecture fused with HMGN1 and VP64 yields a nearly PAM‐less base editing platform. By focusing cytosine conversion predominantly at position −18, this synergistic complex ensures highly precise targeting. Demonstrating enhanced efficiency across diverse models, including yeast and rice, the platform offers a robust solution for ...
Xi Luo   +11 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

Bridging the gap between public health, academia and policy. [PDF]

open access: yesBMJ Glob Health
Christen P   +60 more
europepmc   +1 more source

NAD+ Metabolism Licenses Zygotic Genome Activation via PARP7‐Mediated ADP‐Ribosylation of UHRF1 in Mouse Early Embryos

open access: yesAdvanced Science, EarlyView.
This study uncovers a metabolic‐epigenetic axis licensing zygotic genome activation (ZGA) in mouse embryos. A developmental decline in NAD+ levels activates PARP7, which mono‐ADP‐ribosylates and stabilizes UHRF1. This modification promotes the establishment of permissive histone acetylation marks, thereby facilitating timely ZGA.
Guangyi Cao   +13 more
wiley   +1 more source

IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research. [PDF]

open access: yesFront Neuroinform
Easmin R   +4 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

G2P datasets: a hub for genomic datasets for predictive modeling in plants and animals. [PDF]

open access: yesG3 (Bethesda)
Aguate F   +7 more
europepmc   +1 more source

An exciting Approach to Theoretical Spectroscopy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno   +29 more
wiley   +1 more source

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