DaDIA: Hybridizing Data-Dependent and Data-Independent Acquisition Modes for Generating High-Quality Metabolomic Data-Reference-Cited by-同舟云学术

DaDIA: Hybridizing Data-Dependent and Data-Independent Acquisition Modes for Generating High-Quality Metabolomic Data

Published:2021-01-19 Issue:4 Volume:93 Page:2669-2677
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Guo Jian¹,Shen Sam¹,Xing Shipei¹^ORCID,Huan Tao¹^ORCID

Affiliation:

1. Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver V6T 1Z1, British Columbia, Canada

Funder

Social Sciences and Humanities Research Council of Canada

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

University of British Columbia

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c05022

Reference41 articles.

1. Metabolomics: beyond biomarkers and towards mechanisms

2. Translational biomarker discovery in clinical metabolomics: an introductory tutorial

3. Triple Negative Breast Cancer Detection Using LC–MS/MS Lipidomic Profiling

4. 2,2′,4,4′-tetrabromodiphenyl ether (BDE-47) induces wide metabolic changes including attenuated mitochondrial function and enhanced glycolysis in PC12 cells

5. Re-epithelialization and immune cell behaviour in an ex vivo human skin model

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