Results 61 to 70 of about 2,414,840 (297)

Identification and preliminary characterization of mouse Adam33

open access: yesBMC Genetics, 2002
Background The metalloprotease-disintegrin family, or ADAM, proteins, are implicated in cell-cell interactions, cell fusion, and cell signaling, and are widely distributed among metazoan phyla.
Hyman Richard W   +5 more
doaj   +1 more source

Surface Functionalization Modulates Collective Cell Behavior Near Topological Defects Induced by Topographical Patterning

open access: yesAdvanced Materials Interfaces, EarlyView.
Strongly adhered cells align with concentric circular ridges and exhibit predominantly tangential motion, whereas weakly adhered cells fail to follow topographical guidance and display enhanced radial inward motion. ABSTRACT Living cells establish long‐range orientational order through collective alignment, giving rise to topological defects whose ...
Prasoon Awasthi   +4 more
wiley   +1 more source

Expression, Localization, and Processing of Chicken Sperm ADAM32L2 during the Acrosome Reaction: A Possible Function in the Sperm–Egg Interaction

open access: yesThe Journal of Poultry Science
Sperm–egg interactions involve a complex series of molecular events. Among these, the acrosome reaction (AR) is a prerequisite for sperm penetration, facilitating the exposure of multiple acrosomal proteins that enhance sperm binding or penetration of ...
Mohamad Shuib Bin Mohamad Mohtar   +3 more
doaj   +1 more source

A Disintegrin and Metalloprotease (ADAM): Historical Overview of Their Functions

open access: yesToxins, 2016
Since the discovery of the first disintegrin protein from snake venom and the following identification of a mammalian membrane-anchored metalloprotease-disintegrin implicated in fertilization, almost three decades of studies have identified additional ...
Nives Giebeler, Paola Zigrino
doaj   +1 more source

Extracellular Vesicle Proteome of Breast Cancer Patients with and Without Cognitive Impairment Following Anthracycline-based Chemotherapy: An Exploratory Study

open access: yesBiomarker Insights, 2021
Cognitive impairment due to cancer and its therapy is a major concern among cancer patients and survivors. Extracellular vesicle (EVs) composition altered by cancer and chemotherapy may affect neurological processes such as neuroplasticity, potentially ...
Yong Qin Koh   +9 more
doaj   +1 more source

In‐House Manufacturing of 3D ECM Culture Chips via Vacuum Thermoforming for Enhanced Imaging Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Desktop vacuum thermoforming enables rapid, low‐cost fabrication of 96‐channel polystyrene culture chips with very thin imaging interfaces. The resulting platform supports cell lines, primary cells, and patient‐derived organoids, and enables high‐resolution confocal microscopy and single‐cell visualization, providing an accessible approach for advanced
Aleksandra Fomina   +5 more
wiley   +1 more source

ADAM-17 Is Activated by the Mitogenic Protein Kinase ERK in a Model of Kidney Fibrosis [PDF]

open access: yesThe American Journal of the Medical Sciences, 2010
Chronic kidney disease affects 1 of 9 Americans. Recent studies showed increased activation of the metalloenzyme disintegrin ADAM-17 during the development of the disease and that threonine phosphorylation of ADAM-17 may be an important regulator of the enzyme activity.
L. Gabriel Navar   +3 more
openaire   +2 more sources

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

open access: yesAdvanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu   +7 more
wiley   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

open access: yesAdvanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li   +6 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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