Evidence map›Paper›PMID 30688441›Full record

ArticleAnalytical chemistry2019

mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics.

Nils Hoffmann, Joel Rein, Timo Sachsenberg, Jürgen Hartler, Kenneth Haug, Gerhard Mayer, Oliver Alka, Saravanan Dayalan, Jake T M Pearce, Philippe Rocca-Serra and 7 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Lipid and Metabolite Annotation Using Lipid Data Analyzer.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Analytical chemistry · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Navigating common pitfalls in metabolite identification and metabolomics bioinformatics.Metabolomics : Official journal of the Metabolomic Society · 2024
    Review
  12. Review
  13. Article
  14. Data-Driven Compound Identification in Atmospheric Mass Spectrometry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors.

Nils HoffmannLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V. , Otto-Hahn-Straße 6b , 44227 Dortmund , Germany.
Joel ReinWellcome Sanger Institute , Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA , United Kingdom.
Timo SachsenbergApplied Bioinformatics Group, Center for Bioinformatics , University of Tübingen , Sand 14 , 72076 Tübingen , Germany.
Jürgen HartlerInstitute of Computational Biotechnology , Graz University of Technology , Petersgasse 14 , 8010 Graz , Austria.ORCID 0000-0002-1095-6458
Kenneth HaugEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Gerhard MayerMedizinisches Proteom Center (MPC) , Ruhr-Universität Bochum , Universitätsstraße 150 , D-44801 Bochum , Germany.
Oliver AlkaApplied Bioinformatics Group, Center for Bioinformatics , University of Tübingen , Sand 14 , 72076 Tübingen , Germany.
Saravanan DayalanMetabolomics Australia , The University of Melbourne , Parkville , Victoria 3010 , Australia.
Jake T M PearceMRC-NIHR National Phenome Centre, Department of Surgery & Cancer , Imperial College London , London SW7 2AZ , United Kingdom.
Philippe Rocca-SerraUniversity of Oxford , e-Research Centre , 7 Keble Road , Oxford OX1 3QG , United Kingdom.
Da QiBGI-Shenzhen , Shenzhen , 518083 , People's Republic of China.
Martin EisenacherMedizinisches Proteom Center (MPC) , Ruhr-Universität Bochum , Universitätsstraße 150 , D-44801 Bochum , Germany.
Yasset Perez-RiverolEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Reza M SalekInternational Agency for Research on Cancer , 150 cours Albert Thomas , 69008 Lyon , France.ORCID 0000-0001-8604-1732
Steffen NeumannDepartment of Stress and Developmental Biology , Leibniz Institute of Plant Biochemistry , 06120 Halle , Germany.
Andrew R JonesInstitute of Integrative Biology, University of Liverpool , Liverpool L69 7ZB , United Kingdom.ORCID 0000-0001-6118-9327

Funding

Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
Biotechnology and Biological Sciences Research Council BB/E025080/1Biotechnology and Biological Sciences Research Council BB/I000771/1Biotechnology and Biological Sciences Research Council BB/K01997X/1Biotechnology and Biological Sciences Research Council BB/L024128/1Biotechnology and Biological Sciences Research Council BB/M020282/1NIGMS NIH HHS R24 GM127667World Health Organization 001
6 · The paper itself

Abstract

Mass spectrometry (MS) is one of the primary techniques used for large-scale analysis of small molecules in metabolomics studies. To date, there has been little data format standardization in this field, as different software packages export results in different formats represented in XML or plain text, making data sharing, database deposition, and reanalysis highly challenging. Working within the consortia of the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society, we have created mzTab-M to act as a common output format from analytical approaches using MS on small molecules. The format has been developed over several years, with input from a wide range of stakeholders. mzTab-M is a simple tab-separated text format, but importantly, the structure is highly standardized through the design of a detailed specification document, tightly coupled to validation software, and a mandatory controlled vocabulary of terms to populate it. The format is able to represent final quantification values from analyses, as well as the evidence trail in terms of features measured directly from MS (e.g., LC-MS, GC-MS, DIMS, etc.) and different types of approaches used to identify molecules. mzTab-M allows for ambiguity in the identification of molecules to be communicated clearly to readers of the files (both people and software). There are several implementations of the format available, and we anticipate widespread adoption in the field.

Indexed as

SoftwareDatabases, FactualMass SpectrometryMetabolomics

Identifiers

PMID30688441
PMCPMC6660005

What OpenQuestion holds

Textmetadata
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.