Continuous in vivo Metabolism by NMR
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Abstract
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties of metabolism. Here we extend high-resolution-magic angle spinning (HR-MAS) to enable continuous in vivo monitoring of metabolism by NMR (CIVM-NMR) and provide analysis tools for these data. First, we reproduced a result in human chronic lymphoid leukemia cells by using isotope-edited CIVM-NMR to rapidly and unambiguously demonstrate unidirectional flux in branched-chain amino acid metabolism. We then collected untargeted CIVM-NMR datasets for Neurospora crassa, a classic multicellular model organism, and uncovered dynamics between central carbon metabolism, amino acid metabolism, energy storage molecules, and lipid and cell wall precursors. Virtually no sample preparation was required to yield a dynamic metabolic fingerprint over hours to days at ~4-min temporal resolution with little noise. CIVM-NMR is simple and readily adapted to different types of cells and microorganisms, offering an experimental complement to kinetic models of metabolism for diverse biological systems.
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Complex real-time and in vivo data require dedicated software to investigate them, and current data collection surpasses capacity to extract and interpret information effectively.
“A limiting factor of the utilization of such unique tools is that complex real-time and in vivo data require dedicated software to investigate them, however nowadays this surge in data collection surpasses the current capacity to extract and interpret information effectively and computational tools are emerging.150–152”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [151]
The Introduction says the authors developed MATLAB functions and workflows to analyze and visualize continuous in vivo NMR data, and Materials and Methods describes custom scripts for processing those data. The paper does not say that data collection has surpassed the capacity to extract and interpret information effectively. (LLM, conf=0.84)
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References 82 · Cited by 53
Research works printed but not linked: 2
- Judge M. T. Wu Y. Tayyari F. Hattori A. Glushka J. Ito T. (2018). Continuous in vivo metabolism by NMR. bioRxiv: 501577 10.1101/501577 PMC6502900 31114791 · DOI
- Voet D. Voet J. G. (2011). Biochemistry 4th Ed. Hoboken, NJ: John Wiley and Sons, ©2011.
- Authors
- Judge, M. T., Wu, Y., Tayyari, F., Hattori, A., Glushka, J., Ito, T., Arnold, J., & Edison, A. S.
- Affiliations
- University of Georgia (US)
- Corresponding author
- Edison, Arthur S.
- ORCID
- Venue
- Frontiers in Molecular Biosciences
- Publisher
- Frontiers Media SA
- Published
- 2019-04-30
- Volume
- 6
- Pages
- 26-26
- ISSN
- 2296-889X (ISSN-L)
- PMC
- PMC6502900
- OpenAlex
- W2951010678
- Cited by
- 53
- References
- 82
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 9 · 2022: 17 · 2021: 7 · 2020: 6 · 2019: 2
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Molecular Biosciences (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Division of Molecular and Cellular Biosciences
- Division of Engineering Education and Centers
- Georgia Research Alliance
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- high-resolution magic angle spinning, time-series metabolomics, unidirectional flux, branched-chain amino acid metabolism, Neurospora crassa, central carbon metabolism, amino acid metabolism, metabolic dynamics
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