Evidence map›Paper›PMID 24773139›Full record

ArticleAnalytical chemistry2014

Customized metabolomics database for the analysis of NMR ¹H-¹H TOCSY and ¹³C-¹H HSQC-TOCSY spectra of complex mixtures.

Kerem Bingol, Lei Bruschweiler-Li, Da-Wei Li, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. NMR-Based Stable Isotope Tracing of Cancer Metabolism.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Practical Aspects of NMR-Based Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  8. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  9. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  10. Metabolomics on the study of marine organisms.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  11. Studying Metabolism by NMR-Based Metabolomics.Frontiers in molecular biosciences · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
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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

4 authors.

Kerem BingolDepartment of Chemistry and Biochemistry, The Ohio State University , Columbus, Ohio 43210, United States.
Lei Bruschweiler-Li
Da-Wei Li
Rafael Brüschweiler

Funding

Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
New hybrid methods for the improved and integrated analysis of complex metabolomics mixturesR01GM066041 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2002 to 2019
$3.3M
NIDDK NIH HHS U24 DK097209NIDDK NIH HHS U24 DK097209-01A1NIGMS NIH HHS R01 GM 066041NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

A customized metabolomics NMR database, termed (1)H((13)C)-TOCCATA, is introduced, which contains complete (1)H and (13)C chemical shift information on individual spin systems and isomeric states of common metabolites. Since this information directly corresponds to cross sections of 2D (1)H-(1)H TOCSY and 2D (13)C-(1)H HSQC-TOCSY spectra, it allows the straightforward and unambiguous identification of metabolites of complex metabolic mixtures at (13)C natural abundance from these types of experiments. The (1)H((13)C)-TOCCATA database, which is complementary to the previously introduced TOCCATA database for the analysis of uniformly (13)C-labeled compounds, currently contains 455 metabolites, and it can be used through a publicly accessible web portal. We demonstrate its performance by applying it to 2D (1)H-(1)H TOCSY and 2D (13)C-(1)H HSQC-TOCSY spectra of a cell lysate from E. coli, which yields a substantial improvement over other databases, as well as 1D NMR-based approaches, in the number of compounds that can be correctly identified with high confidence.

Indexed as

Databases, ChemicalCarbon IsotopesComplex MixturesEscherichia coliMagnetic Resonance SpectroscopyMetabolomicsCarbon IsotopesComplex Mixtures

Identifiers

PMID24773139
PMCPMC4051244

What OpenQuestion holds

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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.