Results 151 to 160 of about 23,642 (217)

Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States

open access: yesAdvanced Science, EarlyView.
Manipulation of intranuclear divalent cation concentrations rapidly and reversibly remodels chromatin packing domains in living cells. Magnesium depletion disrupts domain compaction, heterochromatin organization, and transcriptional regulation, whereas magnesium loading promotes more compact and stable domains.
Cody L. Dunton   +13 more
wiley   +1 more source

Unveiling Mechanisms of SEI Formation and Sodium Loss in Sodium Batteries via Interface Reactor Sampling

open access: yesAdvanced Science, EarlyView.
An “Interface Reactor” strategy boosts simulation stability by 2–3 orders of magnitude, enabling stable 100 ns molecular dynamics of electrode‐electrolyte interfaces. Distinct SEI formation mechanisms are revealed: mixed co‐formation in carbonates versus surface‐energy‐controlled NaF crystallization in ethers. Metadynamics simulations further elucidate
Zhoulin Liu   +6 more
wiley   +1 more source

Sheet‐Size‐Dependent Mosaicity of 2D Phyllosilicate Membranes

open access: yesAdvanced Science, EarlyView.
This study explores how the size of 2D vermiculite sheets affects the structure of laminar membranes. High‐resolution x‐ray diffraction reveals how sheet size governs structural disorder and crystallinity. These changes directly impact ion permeability.
Min A Kim   +6 more
wiley   +1 more source

Single‐Cell Transcriptomics and Metabolomics Reveal Glutamate Dehydrogenase as a Central Regulator of Nitrogen Metabolic Remodeling During Alkalinity Adaptation in Crustaceans

open access: yesAdvanced Science, EarlyView.
Single‐cell transcriptomics reveals the cellular response of Macrobrachium hainanense to carbonate alkalinity stress. Alkalinity stress impairs branchial ammonia excretion, induces mitochondrial dysfunction, and drives cell‐type‐specific changes in gills and hemocytes.
Yiting Jin   +6 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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