Offline Two-Dimensional Liquid Chromatography–Mass Spectrometry for Deep Annotation of the Fecal Metabolome Following Fecal Microbiota Transplantation-Reference-Cited by-同舟云学术

Offline Two-Dimensional Liquid Chromatography–Mass Spectrometry for Deep Annotation of the Fecal Metabolome Following Fecal Microbiota Transplantation

Published:2024-05-16 Issue:6 Volume:23 Page:2000-2012
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Anderson Brady G.¹²^ORCID,Raskind Alexander²³,Hissong Rylan²³,Dougherty Michael K.⁴,McGill Sarah K.⁴,Gulati Ajay S.⁴⁵,Theriot Casey M.⁶,Kennedy Robert T.¹²⁷^ORCID,Evans Charles R.²³⁸^ORCID

Affiliation:

1. Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States

2. Michigan Compound Identification Development Core, University of Michigan, Ann Arbor, Michigan 48109, United States

3. Biomedical Research Core Facilities, University of Michigan, Ann Arbor Michigan 48109, United States

4. Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States

5. Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States

6. Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina 27606, United States

7. Department of Pharmacology, University of Michigan, Ann Arbor, Michigan 48109, United States

8. Department of Internal Medicine, University of Michigan, Ann Arbor Michigan 48109, United States

Funder

National Institute of Environmental Health Sciences

Division of Chemistry

North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.4c00022

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5. Identification of small molecules using accurate mass MS/MS search