Literature DB >> 30303385

Combining Mass Spectrometry and NMR Improves Metabolite Detection and Annotation.

Fatema Bhinderwala1,2, Nishikant Wase3, Concetta DiRusso3,2, Robert Powers1,2.   

Abstract

Despite inherent complementarity, nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) are routinely separately employed to characterize metabolomics samples. More troubling is the erroneous view that metabolomics is better served by exclusively utilizing MS. Instead, we demonstrate the importance of combining NMR and MS for metabolomics by using small chemical compound treatments of Chlamydomonas reinhardtii as an illustrative example. A total of 102 metabolites were detected (82 by gas chromatography-MS, 20 by NMR, and 22 by both techniques). Out of these, 47 metabolites of interest were identified: 14 metabolites were uniquely identified by NMR, and 16 metabolites were uniquely identified by GC-MS. A total of 17 metabolites were identified by both NMR and GC-MS. In general, metabolites identified by both techniques exhibited similar changes upon compound treatment. In effect, NMR identified key metabolites that were missed by MS and enhanced the overall coverage of the oxidative pentose phosphate pathway, Calvin cycle, tricarboxylic acid cycle, and amino acid biosynthetic pathways that informed on pathway activity in central carbon metabolism, leading to fatty-acid and complex-lipid synthesis. Our study emphasizes a prime advantage of combining multiple analytical techniques: the improved detection and annotation of metabolites.

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Year:  2018        PMID: 30303385      PMCID: PMC6668615          DOI: 10.1021/acs.jproteome.8b00567

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data.

Authors:  Thao Vu; Parker Siemek; Fatema Bhinderwala; Yuhang Xu; Robert Powers
Journal:  J Proteome Res       Date:  2019-08-22       Impact factor: 4.466

2.  Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics.

Authors:  Amith Sadananda Maroli; Robert Powers
Journal:  NMR Biomed       Date:  2021-08-08       Impact factor: 4.044

3.  Endo- and Exometabolome Crosstalk in Mesenchymal Stem Cells Undergoing Osteogenic Differentiation.

Authors:  Daniela S C Bispo; Lenka Michálková; Marlene Correia; Catarina S H Jesus; Iola F Duarte; Brian J Goodfellow; Mariana B Oliveira; João F Mano; Ana M Gil
Journal:  Cells       Date:  2022-04-07       Impact factor: 7.666

4.  Evaluating the Robustness of Biomarkers of Dairy Food Intake in a Free-Living Population Using Single- and Multi-Marker Approaches.

Authors:  Katherine J Li; Kathryn J Burton-Pimentel; Elske M Brouwer-Brolsma; Edith J M Feskens; Carola Blaser; René Badertscher; Reto Portmann; Guy Vergères
Journal:  Metabolites       Date:  2021-06-17

5.  Evaluation of Non-Uniform Sampling 2D 1H-13C HSQC Spectra for Semi-Quantitative Metabolomics.

Authors:  Bo Zhang; Robert Powers; Elizabeth M O'Day
Journal:  Metabolites       Date:  2020-05-16

Review 6.  Recent Progress in Lab-On-a-Chip Systems for the Monitoring of Metabolites for Mammalian and Microbial Cell Research.

Authors:  Esma Dervisevic; Kellie L Tuck; Nicolas H Voelcker; Victor J Cadarso
Journal:  Sensors (Basel)       Date:  2019-11-18       Impact factor: 3.576

Review 7.  Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.

Authors:  Takoua Jendoubi
Journal:  Metabolites       Date:  2021-03-21

Review 8.  Pharmacometabolomics Applied to Personalized Medicine in Urological Cancers.

Authors:  Filipa Amaro; Márcia Carvalho; Maria de Lourdes Bastos; Paula Guedes de Pinho; Joana Pinto
Journal:  Pharmaceuticals (Basel)       Date:  2022-02-28

Review 9.  Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications.

Authors:  Alexandra A Crook; Robert Powers
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.927

10.  Radiation exposure induces cross-species temporal metabolic changes that are mitigated in mice by amifostine.

Authors:  Alexandra Crook; Aline De Lima Leite; Thomas Payne; Fatema Bhinderwala; Jade Woods; Vijay K Singh; Robert Powers
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

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