Proteomics

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Optimization of data-independent acquisition-MS for deep proteome analysis


ABSTRACT: Data-independent acquisition (DIA)-MS analysis overtops the existing data-dependent acquisition (DDA)-MS analysis enabling deep proteome coverage and precise relative quantitative analysis in single-shot LC-MS/MS. We constructed a single-shot LC-MS/MS system with an MS measurement time of 90 min for a highly sensitive and deep proteomic analysis by optimizing the parameters of DIA and nanoLC. Furthermore, we applied this system to the proteomic analysis of cerebrums in germ-free and specific pathogen-free mice.

ORGANISM(S): Homo Sapiens (human) Cellular Organisms Mus Musculus (mouse)

SUBMITTER: Yusuke Kawashima 

PROVIDER: PXD016032 | JPOST Repository | Mon Oct 28 00:00:00 GMT 2019

REPOSITORIES: jPOST

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Optimization of Data-Independent Acquisition Mass Spectrometry for Deep and Highly Sensitive Proteomic Analysis.

Kawashima Yusuke Y   Watanabe Eiichiro E   Umeyama Taichi T   Nakajima Daisuke D   Hattori Masahira M   Honda Kenya K   Ohara Osamu O  

International journal of molecular sciences 20191126 23


Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteomic analysis overtop the existing data-dependent acquisition (DDA)-MS-based proteomic analysis to enable deep proteome coverage and precise relative quantitative analysis in single-shot liquid chromatography (LC)-MS/MS. However, DIA-MS-based proteomic analysis has not yet been optimized in terms of system robustness and throughput, particularly for its practical applications. We established a single-shot LC-MS/MS system with a  ...[more]

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