Evidence map›Paper›PMID 35888710›Full record

ReviewMetabolites2022

A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.

Nils Hoffmann, Gerhard Mayer, Canan Has, Dominik Kopczynski, Fadi Al Machot, Dominik Schwudke, Robert Ahrends, Katrin Marcus, Martin Eisenacher, Michael Turewicz

Abstract readReview
In one paragraph

Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. LipiDex 2 Integrates MSAnalytical chemistry · 2024
    Article
  11. Recent Analytical Methodologies in Lipid Analysis.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. 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

10 authors.

Nils HoffmannForschungszentrum Jülich GmbH, Institute for Bio- and Geosciences (IBG-5), 52425 Jülich, Germany.ORCID 0000-0002-6540-6875
Gerhard MayerInstitute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany.ORCID 0000-0002-1767-2343
Canan HasBiological Mass Spectrometry, Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Dominik KopczynskiDepartment of Analytical Chemistry, University of Vienna, 1090 Vienna, Austria.
Fadi Al MachotFaculty of Science and Technology, Norwegian University for Life Science (NMBU), 1433 Ås, Norway.ORCID 0000-0002-1239-9261
Dominik SchwudkeBioanalytical Chemistry, Forschungszentrum Borstel, Leibniz Lung Center, 23845 Borstel, Germany.ORCID 0000-0002-1379-9451
Robert AhrendsDepartment of Analytical Chemistry, University of Vienna, 1090 Vienna, Austria.
Katrin MarcusCenter for Protein Diagnostics (ProDi), Medical Proteome Analysis, Ruhr University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-3313-8845
Martin EisenacherCenter for Protein Diagnostics (ProDi), Medical Proteome Analysis, Ruhr University Bochum, 44801 Bochum, Germany.
Michael TurewiczInstitute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0003-0737-1114

Funding

Deutsche Forschungsgemeinschaft 491111487Federal Ministry of Education and Research FKZ 01ZZ1804IFederal Ministry of Education and Research FKZ 031 A534 APURE (Protein research Unit Ruhr within Europe), a project of North Rhine-Westphalia, a federal state of Germany
6 · The paper itself

Abstract

Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography-mass spectrometry, ion mobility or MS imaging approaches on MS

Indexed as

bioinformaticsdatabasedata formatFAIRlipidomicsmass spectrometrystandardization

Identifiers

PMID35888710
PMCPMC9319858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.