Results 201 to 210 of about 63,549 (264)

Real‐Time Stress Visualization of Hydrogels Enabled by Supramolecularly Switched Stretch‐Induced Phase Separation

open access: yesAdvanced Science, EarlyView.
Supramolecular hydrogels enable real‐time visualization of mechanical stress through supramolecular switching mechanotransduction. Adamantane‐modified cellulose functions as a responsive domain that undergoes an on–off transition between hydrated and dehydrated states via reversible β‐cyclodextrin–adamantane complexation and decomplexation.
Sooyeon Noh   +7 more
wiley   +1 more source

TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain

open access: yesAdvanced Science, EarlyView.
TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando   +2 more
wiley   +1 more source

HLA‐DR+ Schwann Cells Generate the Protumor Cancer‐Neuron‐Immune Niche in Head and Neck Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
Hijacked and educated by HNSCC cells, HLA‐DR+ Schwann cells lost their normal neural‐related functions but acquired immunoregulatory phenotypes to promote CD4+ T cells transform into Tregs. HLA‐DR+ Schwann cells induced a macrophage subpopulation, Il1β.
Xiaoyan Meng   +7 more
wiley   +1 more source

Tandem Duplication‐Driven Neofunctionalization of UDP‐Glycosyltransferases Shapes the Diversification of Triterpenoid Saponins in the Cucurbitaceae

open access: yesAdvanced Science, EarlyView.
We present a chromosome‐level genome assembly of Siraitia grosvenorii and, through comparative genomics, uncover a conserved UGT73 tandem array driving triterpenoid saponin diversification in Cucurbitaceae. Crystalized SgUGT73AM30 further reveals the regioselectivity mechanism underlying its catalytic activity.
Guangyi Wang   +13 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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