Results 191 to 200 of about 66,376 (233)

Ion Activation Methods for Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Mass spectrometry (MS) has emerged as a premier method used to characterize the sequences of proteins. Top‐down proteomics aims to capture the multiple sources of structural diversity reflected in proteins, such as those that arise from alternative RNA splicing events or the addition of post‐translational modifications. Tandem MS (i.e., MS/MS)
Jada N. Walker, Jennifer S. Brodbelt
wiley   +1 more source

Recent Advances (2023–2025) of Capillary Electrophoresis‐Mass Spectrometry (CE‐MS) for Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Top‐down proteomics (TDP) characterizes proteoforms in cells, tissues, and biofluids, in discovery mode and on a global scale, requiring analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection, given the extremely high proteoform complexity and wide proteoform concentration dynamic range.
Guijie Zhu, David A. Alvarez Rodriguez, Noah Gould, Alexander R. Ivanov, Kevin Jooß, Liangliang Sun   +5 more
wiley   +1 more source

Recent Advances in Top‐Down Proteomics for Single‐Cell Research

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Individual cells have distinctive molecular characteristics, including biologically relevant proteoforms. Although single‐cell (SC) molecular omics offer unprecedented insights into cellular heterogeneity and function, the characterization of proteoforms in SCs remains an uncharted territory.
Jake A. Melby, Pei Su, Fabio P. Gomes
wiley   +1 more source

Proteoforms in Disease: Biomedical Applications of Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT The proteome is a dynamic landscape of proteoforms arising from genetic mutations, alternative splicing, and post‐translational modifications (PTMs), which collectively drive biological function and disease phenotypes. Mass spectrometry (MS)‐based proteomics has emerged as an essential technique for elucidating this molecular complexity ...
Holden T. Rogers, Zachery R. Gregorich, Megan S. Gant, Zhan Gao, Julia Chamot‐Rooke, Ying Ge   +5 more
wiley   +1 more source

NET‐Associated Inflammatory Markers in Head and Neck Squamous Cell Carcinoma: Bioinformatic Prioritization and Exploratory Serum Assessment in Patients Undergoing Radiotherapy

Molecular Carcinogenesis, EarlyView.
ABSTRACT Neutrophil extracellular traps (NETs) and inflammatory mediators have been implicated in head and neck squamous cell carcinoma, but their relationship with systemic inflammatory status during radiotherapy remains incompletely understood. This exploratory integrative study combined a literature‐guided network‐based bioinformatic prioritization ...
Eloa Mangabeira Santos, Daniela Fernanda de Freitas, David Fernando Colón, Rangel Leal Silva, Alfredo Maurício Batista de Paula, Lucyana Conceição Farias, Bruno Rodrigues Gonçalves, Andréia Luiza Oliveira Costa, Sérgio Henrique Sousa Santos, Fernando Queiroz Cunha, Donald Fernandes, André Luiz Sena Guimarães   +11 more
wiley   +1 more source

Questioning the Histone Code

Journal of Biological Chemistry, 2006
openaire   +1 more source

KAT8‐Low Osteosarcoma Suppresses Cisplatin Sensitivity via H4K16ac‐Mediated Cell Apoptosis

Med Research, EarlyView.
The scientific significance of this study is highlighted below: (1) Data mining and clinical discovery: These findings establish a direct clinical link between the KAT8–H4K16ac axis and chemotherapy response in osteosarcoma. (2) Multi‐omics and machine‐learning integration: We integrated proteomics and CUT&Tag multi‐omics to elucidate how chromatin ...
Zhenqun Zhao, Guohui Yu, Shikui Wu, Zhiyang Zhang, Keke Wang, Yingxin Xiong, Chao Sun, Haobo Cui, Yuxing Wang, Ziheng Wang, Huiru Zhang, Huiqin Xue, Shibing Guo   +12 more
wiley   +1 more source

SkinDB: A Curated Resource for Dermatological Data Warehousing and Bioinformatics Exploration

Med Research, EarlyView.
SkinDB is an open‐access transcriptomic database integrating 220 datasets and 11,283 samples across six major skin diseases. Its code‐free interface supports cross‐disease analyses, visualizations, and data downloads for dermatological research. ABSTRACT Dermatology lacks a centralized analysis‐ready transcriptomic resource, leaving publicly available ...
Haoxue Zhang, Xiangnan Zhou, Hao Chi, Youping Deng, Lauren Higa, Isam Mohd Ibrahim, Xiaoyong Liu, Yuyao Liu, Jingyuan Ning   +8 more
wiley   +1 more source