Results 61 to 70 of about 68,067 (282)

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

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

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

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 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

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

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Microblasting Wound Dressings Mechanically Disrupt Polymicrobial Biofilms to Enhance Healing in Treatment‐Resistant Wounds

Advanced Science, EarlyView.
Treatment‐resistant wounds caused by polymicrobial biofilms are refractory to conventional therapies due to the dense extracellular matrices. We developed μBLAST, a microblasting wound dressing that combines MnO2‐doped biosilica and a H2O2‐releasing mesh to generate localized oxygen microbubbles that mechanically disrupt biofilms.
Yujin Ahn, Joo Hun Lee, Christian Hurd, Jiye Lee, Junggeon Park, Adam A. Markowicz, Zheyuan Zhang, Joanne Hwang, Guillermo L. Monroy, Simon A. Rogers, Woonggyu Jung, Stephen A. Boppart, Hyunjoon Kong   +12 more
wiley   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 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