Evidence map›Paper›PMID 31168088›Full record

ArticleNature protocols2019

Systems-level analysis of isotopic labeling in untargeted metabolomic data by X

Elizabeth M Llufrio, Kevin Cho, Gary J Patti

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 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
1.0field-weighted citation impact, top 24% of its field
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, 40 citations in OpenAlex.

  1. Article
  2. Cell-specific isotope labeling identifiesbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. C13MP, a method using C13 isotope labeling to measure plant photosynthetic rate precisely.Molecular breeding : new strategies in plant improvement · 2025
    Article
  6. Article
  7. Article
  8. Annotation of Metabolites in Stable Isotope Tracing Untargeted Metabolomics via Khipu-web.Journal of the American Society for Mass Spectrometry · 2024
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. The Native Microbiome MemberMetabolites · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. A guide to interrogating immunometabolism.Nature reviews. Immunology · 2021
    Review
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

3 authors at 1 institution in 1 country.

Elizabeth M LlufrioDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO, USA.
Kevin ChoDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-3041-3506
Gary J PattiDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO, USA. gjpattij@wustl.edu.ORCID http://orcid.org/0000-0002-3748-6193
Washington University in St. Louis · US

Funding

Developing Metabolomic Technologies to Advance Environmental Exposure AnalysisR35ES028365 · NIEHS · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2017 to 2024
$5.9M
A COMPREHENSIVE RESOURCE FOR HIGH-THROUGHPUT PROFILING OF WORM AND ZEBRAFISH METABOLOMESR24OD024624 · OD · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2018 to 2021
$4.0M
A Comprehensive Platform for High-Throughput Profiling of the Human Reference MetabolomeU01CA235482 · NCI · WASHINGTON UNIVERSITY · PI PATTI, GARY J · 2018 to 2021
$1.8M
NCATS NIH HHS L30 TR000589NCI NIH HHS U01 CA235482NIEHS NIH HHS R35 ES028365NIH HHS R24 OD024624
6 · The paper itself

Abstract

Identification of previously unreported metabolites (so-called 'unknowns') in untargeted metabolomic data has become an increasingly active area of research. Considerably less attention, however, has been dedicated to identifying unknown metabolic pathways. Yet, for each unknown metabolite structure, there is potentially a yet-to-be-discovered chemical transformation. Elucidating these biochemical connections is essential to advancing our knowledge of cellular metabolism and can be achieved by tracking an isotopically labeled precursor to an unexpected product. In addition to their role in mapping metabolic fates, isotopic labels also provide critical insight into pathway dynamics (i.e., metabolic fluxes) that cannot be obtained from conventional label-free metabolomic analyses. When labeling is compared quantitatively between conditions, for example, isotopic tracers can enable relative pathway activities to be inferred. To discover unexpected chemical transformations or unanticipated differences in metabolic pathway activities, we have developed X

Indexed as

SoftwareAnimalsCarbon IsotopesChromatography, LiquidColorectal NeoplasmsFibroblastsHumansIsotope LabelingLactic AcidMass SpectrometryMetabolomicsPalmitatesWorkflowCarbon-13Carbon IsotopesLactic AcidPalmitates

Identifiers

PMID31168088
PMCPMC7323898
OpenAlexW2948730929

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.