Results 181 to 190 of about 72,925 (302)

Stretchable Microelectrode Arrays with Microneedles for Reliable Electrophysiological Recording of Human Heart and Brain Organoids

open access: yesAdvanced Science, EarlyView.
A stretchable 3D microelectrode array with microneedles (3D MN‐sMEA) enables stable, minimally destructive electrophysiological monitoring of 3D organoids. The wafer‐level stud‐bump bonding process facilitates high‐fidelity recordings of heart and cerebral organoids.
Eunyoung Jang   +10 more
wiley   +1 more source

Intramolecular Interactions between Folded and Disordered Regions Shape Ubiquilin Structure and Function

open access: yesAdvanced Science, EarlyView.
Ubiquilin (UBQLN), like many other human proteins, contains both well‐folded and disordered regions. Here, we show that intramolecular interactions between disordered regions and folded domains modulate between open and closed topologies of UBQLN proteins, altering their structure and function.
Jessica K. Niblo   +4 more
wiley   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

open access: yesAdvanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou   +8 more
wiley   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

open access: yesAdvanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim   +8 more
wiley   +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

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