Results 181 to 190 of about 490,947 (358)

NanoArrays, the Next Generation Molecular Array Format for High Throughput Proteomics, Diagnostics and Drug Discover [PDF]

, 2000
Curtis Mosher, Michael P. Lynch, Saju Nettikadan, Will Henderson, Asrun Kristmundsdottir, Michael W. Clark, Eric Henderson   +6 more
openalex   +1 more source

Stress Response of Aspergillus niger Spores to Copper Surfaces and the Implications for Antifungal Surface Functionalization

Advanced Materials Interfaces, EarlyView.
This study investigates the antifungal efficacy of ultrashort pulsed laser‐induced periodic surface structures (USP‐DLIP) on copper, brass, and steel surfaces. Using Aspergillus niger as a model, the research highlights a 99% reduction in spore viability on 9 µm structured copper surfaces due to enhanced copper ion release. Scanning electron microscopy
Stella Marie Timofeev, Katharina Siems, Daniel Wyn Müller, Aisha Saddiqa Ahmed, Alessa Schiele, Kristina Brix, Carolin Luisa Krämer, Franca Arndt, Ralf Kautenburger, Frank Mücklich, Stefan Leuko   +10 more
wiley   +1 more source

Room D, 10/17/2000 2: 00 PM - 4: 00 PM (PS) Is Opioid Tolerance a Unitary Phenomenon? Insights from Proteomics [PDF]

, 2000
Howard B. Gutstein, Heju Zhang
openalex   +1 more source

Philosopher: a versatile toolkit for shotgun proteomics data analysis

Nature Methods, 2020
Felipe da Veiga Leprevost, Sarah E. Haynes, D. Avtonomov, Hui-Yin Chang, A. Shanmugam, Dattatreya Mellacheruvu, Andy T. Kong, A. Nesvizhskii   +7 more
semanticscholar   +1 more source

Autologous Peripheral Vγ9Vδ2 T Cell Synergizes with αβ T Cell Through Antigen Presentation and BTN3A1 Blockade in Immunotherapy of Cervical Cancer

Advanced Science, EarlyView.
This study provides proof‐of‐concept evidence showing that through direct killing, antigen presentation, and competitively binding to BTN3A1, Vγ9Vδ2 T cells amplified from cervical cancer (CC) patients can synergize with αβ T cells to exert anti‐CC function both in vitro and in vivo.
Min Wu, Jian Liu, Liting Liu, Yifan Yang, Hong Liu, Long Yu, Haihong Zeng, Shuo Yuan, Ruiyi Xu, Hangyu Liu, Han Jiang, Shen Qu, Liming Wang, Ying Chen, Jingyu Wang, Yuwei Zhang, Shan He, Ling Feng, Junyan Han, Wanjiang Zeng, Hui Wang, Yafei Huang   +21 more
wiley   +1 more source

FAS-cinating proteomics [PDF]

, 2000
Jonathan B Weitzman
openalex   +1 more source

Mechanochemistry: Fundamental Principles and Applications

Advanced Science, EarlyView.
In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong, Luofei Li, Huiyan Chen, Yi Cao, Hai Lei   +4 more
wiley   +1 more source

Deep Learning in Proteomics Informatics: Applications, Challenges, and Future Directions [PDF]

arXiv
Deep learning is an advanced technology that relies on large-scale data and complex models for feature extraction and pattern recognition. It has been widely applied across various fields, including computer vision, natural language processing, and speech recognition. In recent years, deep learning has demonstrated significant potential in the realm of
arxiv  

Metabolic‐Immune Suppression Mediated by the SIRT1‐CX3CL1 Axis Induces Functional Enhancement of Regulatory T Cells in Colorectal Carcinoma

Advanced Science, EarlyView.
This study discovers that SIRT1, a hub gene involved in glucolipid metabolic conversion in colorectal carcinoma (CRC), stimulates CX3CL1 secretion in CRC cells by activating FOXO1. The CX3CL1‐CX3CR1 signaling promotes the differentiation of TCF7+ regulatory T cells (Tregs) into an enhanced immunosuppressive TNFRSF9+ Treg phenotype.
Ruiyang Zi, Xiang Zhao, Limei Liu, Yijie Wang, Rui Zhang, Zhiheng Bian, Haoran Jiang, Taorui Liu, Yixin Sun, Han Peng, Xuesong Wang, Fanghao Lu, Chao Zhang, Fan Zhang, Qing Qin, Houjie Liang, Jianjun Li, Zhihao Wei, Yan Dong   +18 more
wiley   +1 more source

Single-Cell Proteomics Using Mass Spectrometry [PDF]

arXiv
Single-cell proteomics (SCP) is transforming our understanding of biological complexity by shifting from bulk proteomics, where signals are averaged over thousands of cells, to the proteome analysis of individual cells. This granular perspective reveals distinct cell states, population heterogeneity, and the underpinnings of disease pathogenesis that ...
arxiv