Evidence map›Paper›PMID 30792403›Full record

ArticleScientific reports2019

A framework for tracer-based metabolism in mammalian cells by NMR.

Raquel Saborano, Zuhal Eraslan, Jennie Roberts, Farhat L Khanim, Patricia F Lalor, Michelle A C Reed, Ulrich L Günther

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Live Metabolomics with NMR.Analytical chemistry · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Metabolic Analysis of Intracellular Pathogenic Bacteria Using NMR.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Tracer-Based Metabolic Analysis by NMR in Intact Perfused Human Liver Tissue.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  10. Review
  11. Practical Aspects of NMR-Based Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  12. Article
  13. Isolated murine skeletal muscles utilize pyruvate over glucose for oxidation.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  14. Article
  15. Untargeted 2D NMR Metabolomics of [Journal of proteome research · 2022
    Article
  16. Article
  17. Studying Metabolism by NMR-Based Metabolomics.Frontiers in molecular biosciences · 2022
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Raquel SaboranoUniversity of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England.
Zuhal EraslanUniversity of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England.
Jennie RobertsUniversity of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England.
Farhat L KhanimUniversity of Birmingham, School of Biosciences, Birmingham, B15 2TT, England.ORCID 0000-0003-0034-6899
Patricia F LalorUniversity of Birmingham, Institute of Immunology and Immunotherapy, Birmingham, B15 2TT, England.
Michelle A C ReedUniversity of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England.
Ulrich L GüntherUniversity of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England. u.l.gunther@bham.ac.uk.ORCID 0000-0001-8464-3756

Funding

Biotechnology and Biological Sciences Research CouncilDepartment of HealthWellcome TrustWellcome Trust 208400/Z/17/Z
6 · The paper itself

Abstract

Metabolism changes extensively during the normal proliferation and differentiation of mammalian cells, and in cancer and inflammatory diseases. Since changes in the metabolic network reflect interactions between genetic, epigenetic and environmental changes, it is helpful to study the flow of label from isotopically labelled precursors into other metabolites rather than static metabolite levels. For this Nuclear Magnetic Resonance (NMR) spectroscopy is an attractive technique as it can quantify site-specific label incorporation. However, for applications using human cells and cell lines, the challenge is to optimize the process to maximize sensitivity and reproducibility. Here we present a new framework to analyze metabolism in mammalian cell lines and primary cells, covering the workflow from the preparation of cells to the acquisition and analysis of NMR spectra. We have applied this new approach in hematological and liver cancer cell lines and confirm the feasibility of tracer-based metabolism in primary liver cells.

Indexed as

Magnetic Resonance ImagingMagnetic Resonance SpectroscopyAnimalsCarbon IsotopesHumansIsotope LabelingMetabolic Networks and PathwaysMetabolismWorkflowCarbon Isotopes

Identifiers

PMID30792403
PMCPMC6385278

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.