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Advancing untargeted metabolomics using data-independent acquisition mass spectrometry technology.
Wang, Ruohong; Yin, Yandong; Zhu, Zheng-Jiang.
Afiliação
  • Wang R; Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China.
  • Yin Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhu ZJ; Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China.
Anal Bioanal Chem ; 411(19): 4349-4357, 2019 Jul.
Article em En | MEDLINE | ID: mdl-30847570
ABSTRACT
Metabolomics quantitatively measures metabolites in a given biological system and facilitates the understanding of physiological and pathological activities. With the recent advancement of mass spectrometry (MS) technology, liquid chromatography-mass spectrometry (LC-MS) with data-independent acquisition (DIA) has been emerged as a powerful technology for untargeted metabolomics due to its capability to acquire all MS2 spectra and high quantitative accuracy. In this trend article, we first introduced the basic principles of several common DIA techniques including MSE, all ion fragmentation (AIF), SWATH, and MSX. Then, we summarized and compared the data analysis strategies to process DIA-based untargeted metabolomics data, including metabolite identification and quantification. We think the advantages of the DIA technique will enable its broad application in untargeted metabolomics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas em Tandem / Metabolômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas em Tandem / Metabolômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article