Results 61 to 70 of about 75,759 (281)

Immunomodulatory role of metalloproteinase ADAM17 in tumor development

Frontiers in Immunology, 2022
ADAM17 is a member of the a disintegrin and metalloproteinase (ADAM) family of transmembrane proteases involved in the shedding of some cell membrane proteins and regulating various signaling pathways.
Kai Wang, Zixue Xuan, Xiaoyan Liu, Meiling Zheng, Chao Yang, Haiyong Wang   +5 more
doaj   +1 more source

Topography‐Regulated Screening Platform for Myoblast Contact Guidance

Advanced Materials Technologies, EarlyView.
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng, Torben A.B. van der Boon, Savannah Amy Haupt, Adam Jones, Yanjing Ji, Theo G. Van Kooten, Patrick van Rijn   +6 more
wiley   +1 more source

γδ T LYMPHOCYTES AS A FIRST LINE OF IMMUNE DEFENSE: OLD AND NEW WAYS OF ANTIGEN RECOGNITION AND IMPLICATIONS FOR CANCER IMMUNOTHERAPY.

Frontiers in Immunology, 2014
Among γδT cells, the Vδ1 subset, resident in epithelial tissues, is implied in the defense against viruses, fungi and certain hematological malignancies, while the circulating Vδ2 subpopulation mainly respond to mycobacteria and solid tumors.
Maria Raffaella eZocchi, Alessandro ePoggi   +1 more
doaj   +1 more source

ADAM11 a novel regulator of Wnt and BMP4 signaling in neural crest and cancer

Frontiers in Cell and Developmental Biology, 2023
Introduction: Cranial neural crest (CNC) cells are induced at the border of the neural plate by a combination of FGF, Wnt, and BMP4 signaling. CNC then migrate ventrally and invade ventral structures where they contribute to craniofacial development ...
Ankit Pandey, Hélène Cousin, Brett Horr, Dominique Alfandari   +3 more
doaj   +1 more source

Bridging Boltzmann and Non‐Boltzmann Optical Thermometry Enabled by Multimodal Perovskite Nanocrystals

Advanced Optical Materials, EarlyView.
Multimodal perovskite nanocrystals enable optical thermometry across multiple excitation and emission regimes, spanning the UV–Vis–NIR spectral range. By combining upconversion, downshifting, and persistent luminescence, the platform bridges conventional Boltzmann and non‐Boltzmann thermometric approaches.
Adrian Drozdowski, Kevin Soler‐Carracedo, Tomasz Grzyb   +2 more
wiley   +1 more source

Proteases at work: Cues for understanding neural development and degeneration

Frontiers in Molecular Neuroscience, 2015
Proteolytical processing of membrane bound molecules is a fundamental mechanism for the degradation of these proteins as well as for controlling cell-to-cell communication, which is at the basis of tissue development and homeostasis.
Paul eSaftig, Paola eBovolenta
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Identification and preliminary characterization of mouse Adam33

BMC 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, Kim Philip H, Azarani Arezou, Gunn Teresa M, Davis Ronald W, Barsh Gregory S   +5 more
doaj   +1 more source