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Advances in data-independent acquisition mass spectrometry towards comprehensive digital proteome landscape.
Kitata, Reta Birhanu; Yang, Jhih-Ci; Chen, Yu-Ju.
Afiliação
  • Kitata RB; Institute of Chemistry, Academia Sinica, Taipei, Taiwan.
  • Yang JC; Institute of Chemistry, Academia Sinica, Taipei, Taiwan.
  • Chen YJ; Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica and National Yang Ming Chiao Tung University, Taipei, Taiwan.
Mass Spectrom Rev ; 42(6): 2324-2348, 2023.
Article em En | MEDLINE | ID: mdl-35645145
ABSTRACT
The data-independent acquisition mass spectrometry (DIA-MS) has rapidly evolved as a powerful alternative for highly reproducible proteome profiling with a unique strength of generating permanent digital maps for retrospective analysis of biological systems. Recent advancements in data analysis software tools for the complex DIA-MS/MS spectra coupled to fast MS scanning speed and high mass accuracy have greatly expanded the sensitivity and coverage of DIA-based proteomics profiling. Here, we review the evolution of the DIA-MS techniques, from earlier proof-of-principle of parallel fragmentation of all-ions or ions in selected m/z range, the sequential window acquisition of all theoretical mass spectra (SWATH-MS) to latest innovations, recent development in computation algorithms for data informatics, and auxiliary tools and advanced instrumentation to enhance the performance of DIA-MS. We further summarize recent applications of DIA-MS and experimentally-derived as well as in silico spectra library resources for large-scale profiling to facilitate biomarker discovery and drug development in human diseases with emphasis on the proteomic profiling coverage. Toward next-generation DIA-MS for clinical proteomics, we outline the challenges in processing multi-dimensional DIA data set and large-scale clinical proteomics, and continuing need in higher profiling coverage and sensitivity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mass Spectrom Rev Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mass Spectrom Rev Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan