Literature DB >> 30847570

Advancing untargeted metabolomics using data-independent acquisition mass spectrometry technology.

Ruohong Wang1,2, Yandong Yin1, Zheng-Jiang Zhu3.   

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.

Keywords:  Data-independent acquisition; Mass spectrometry; Untargeted metabolomics

Mesh:

Year:  2019        PMID: 30847570     DOI: 10.1007/s00216-019-01709-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  12 in total

Review 1.  Metabolomics for exposure assessment and toxicity effects of occupational pollutants: current status and future perspectives.

Authors:  Fatemeh Dehghani; Saeed Yousefinejad; Douglas I Walker; Fariborz Omidi
Journal:  Metabolomics       Date:  2022-09-09       Impact factor: 4.747

2.  Predictive Modeling for Metabolomics Data.

Authors:  Tusharkanti Ghosh; Weiming Zhang; Debashis Ghosh; Katerina Kechris
Journal:  Methods Mol Biol       Date:  2020

3.  Salvia miltiorrhiza and the Volatile of Dalbergia odorifera Attenuate Chronic Myocardial Ischemia Injury in a Pig Model: A Metabonomic Approach for the Mechanism Study.

Authors:  Rui Lin; Fei Mu; Yao Li; Jialin Duan; Meina Zhao; Yue Guan; Kedi Liu; Yang Bai; Aidong Wen; Peifeng Wei; Jingwen Wang; Miaomiao Xi
Journal:  Oxid Med Cell Longev       Date:  2021-04-28       Impact factor: 6.543

4.  Pyroptosis inhibition improves the symptom of acute myocardial infarction.

Authors:  Wenju Liu; Junwei Shen; Yanfei Li; Jiawen Wu; Xiaoli Luo; Yuanyuan Yu; Yuhan Zhang; Liang Gu; Xiaobai Zhang; Cizhong Jiang; Jue Li
Journal:  Cell Death Dis       Date:  2021-09-16       Impact factor: 8.469

5.  Identification of cerebrospinal fluid metabolites as biomarkers for neurobrucellosis by liquid chromatography-mass spectrometry approach.

Authors:  Hao Yang; Zhenfei Wang; Shujun Shi; Qin Yu; Meiling Liu; Zhelin Zhang
Journal:  Bioengineered       Date:  2022-03       Impact factor: 3.269

6.  Metabonomic analysis of abnormal sphingolipid metabolism in rheumatoid arthritis synovial fibroblasts in hypoxia microenvironment and intervention of geniposide.

Authors:  Jiang-Tao Ke; Heng Zhang; Yan-Hong Bu; Pei-Rong Gan; Fang-Yuan Chen; Xin-Tong Dong; Yan Wang; Hong Wu
Journal:  Front Pharmacol       Date:  2022-07-22       Impact factor: 5.988

7.  Creating a Reliable Mass Spectral-Retention Time Library for All Ion Fragmentation-Based Metabolomics.

Authors:  Ipputa Tada; Hiroshi Tsugawa; Isabel Meister; Pei Zhang; Rie Shu; Riho Katsumi; Craig E Wheelock; Masanori Arita; Romanas Chaleckis
Journal:  Metabolites       Date:  2019-10-26

Review 8.  Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches.

Authors:  Li Chen; Fanyi Zhong; Jiangjiang Zhu
Journal:  Metabolites       Date:  2020-08-27

Review 9.  Recent advances in analytical strategies for mass spectrometry-based lipidomics.

Authors:  Tianrun Xu; Chunxiu Hu; Qiuhui Xuan; Guowang Xu
Journal:  Anal Chim Acta       Date:  2020-09-30       Impact factor: 6.558

10.  Fast Screening and Identification of Illegal Adulterated Glucocorticoids in Dietary Supplements and Herbal Products Using UHPLC-QTOF-MS With All-Ion Fragmentation Acquisition Combined With Characteristic Fragment Ion List Classification.

Authors:  Ying Xue; Yanghao Sheng; Jue Wang; Qi Huang; Fengyu Zhang; Ying Wen; Shao Liu; Yueping Jiang
Journal:  Front Chem       Date:  2021-12-10       Impact factor: 5.221

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.