Hyperpolarized micro-NMR platform for sensitive analysis of in vitro metabolic flux in living cells Journal Article


Authors: Jeong, S.; Keshari, K. R.
Article Title: Hyperpolarized micro-NMR platform for sensitive analysis of in vitro metabolic flux in living cells
Abstract: Metabolism represents an ensemble of cellular biochemical reactions, and thus metabolic analyses can shed light on the state of cells. Metabolic changes in response to external cues, such as drug treatment, for example, can be rapid and potentially an early indicator of therapeutic response. Unfortunately, conventional techniques to study metabolism, such as optical microscopy or mass spectrometry, have functional limitations in specificity and sensitivity. To address this technical need, we developed a sensitive analytical tool based on nuclear magnetic resonance (NMR) technology, termed hyperpolarized micro-NMR, that enables rapid quantification of multiple metabolic fluxes in a small number of cells, down to 10,000 cells, nondestructively. This analytical capability was achieved by miniaturization of an NMR detection coil along with hyperpolarization of endogenous metabolites. Using this tool, we were able to quantify pyruvate-to-lactate flux in cancer stem cells nondestructively within 2 min, which has not been possible with other techniques. With further optimization, we envision that this novel device could be a powerful analytical platform for sensitive analysis of metabolism in mass-limited samples. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords: microfluidics; nmr; hyperpolarization; metabolic flux; micro-coil
Journal Title: Methods in Molecular Biology
Volume: 2393
ISSN: 1064-3745
Publisher: Humana Press Inc  
Date Published: 2022-01-01
Start Page: 561
End Page: 569
Language: English
DOI: 10.1007/978-1-0716-1803-5_29
PROVIDER: scopus
PMCID: PMC9541228
PUBMED: 34837199
DOI/URL:
Notes: Chapter 29 in "Biomedical Engineering Technologies" (ISBN: 978-1-0716-1802-8 -- Export Date: 3 January 2022 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Sangmoo Jeong
    7 Jeong