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Data-independent acquisition-based quantitative proteomics analysis reveals dynamic network

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中国科技资源共享网2026-05-10 更新2026-04-04 收录
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https://escience.org.cn/metadata/detail?cstrId=CSTR:17970.11.A001G.202003.000995&id=774e74221ac511e980780242ac120006:CSTR:A0006.11.A001G.202003.000995
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Understanding of the molecular regulatory mechanisms underlying the inflammatory response isincomplete, especially with respect to the global proteomic response to microbial infection. Data-independent acquisition (DIA)-based quantitative proteomic analysis has been widely applied inproteomics research due to its advantages, such as improved protein coverage and reliable dataacquisition. In the present study, we focused on characterizing the proteome in a model ofinflammation in macrophages treated with lipopolysaccharide (LPS), which is important forilluminating the fundamental mechanisms of the inflammatory response to bacterial infection. Atotal of 3597 proteins were identified in macrophages with the DIA method,
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2020-11-24
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