Evidence map›Paper›PMID 31717785›Full record

ArticleMetabolites2019

Creating a Reliable Mass Spectral-Retention Time Library for All Ion Fragmentation-Based Metabolomics.

Ipputa Tada, Hiroshi Tsugawa, Isabel Meister, Pei Zhang, Rie Shu, Riho Katsumi, Craig E Wheelock, Masanori Arita, Romanas Chaleckis

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. MetaPro: a web-based metabolomics application for LC-MS data batch inspection and library curation.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  6. Article
  7. Article
  8. The critical role that spectral libraries play in capturing the metabolomics community knowledge.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Untargeted LC-MS Metabolomics for the Analysis of Micro-scaled Extracellular Metabolites from Hepatocytes.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020
    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

9 authors.

Ipputa TadaDepartment of Genetics, SOKENDAI (Graduate University for Advanced Studies), Shizuoka 411-8540, Japan.ORCID 0000-0003-4149-7191
Hiroshi TsugawaRIKEN Center for Sustainable Resource Science, Kanagawa, Yokohama 230-0045, Japan.ORCID 0000-0002-2015-3958
Isabel MeisterDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0001-9063-0492
Pei ZhangDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0003-2054-928X
Rie ShuGunma University Initiative for Advanced Research (GIAR), Gunma University, Gunma 371-8510, Japan.
Riho KatsumiGunma University Initiative for Advanced Research (GIAR), Gunma University, Gunma 371-8510, Japan.
Craig E WheelockDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0002-8113-0653
Masanori AritaRIKEN Center for Sustainable Resource Science, Kanagawa, Yokohama 230-0045, Japan.
Romanas ChaleckisDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0001-8042-1005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate metabolite identification remains one of the primary challenges in a metabolomics study. A reliable chemical spectral library increases the confidence in annotation, and the availability of raw and annotated data in public databases facilitates the transfer of Liquid chromatography coupled to mass spectrometry (LC-MS) methods across laboratories. Here, we illustrate how the combination of MS2 spectra, accurate mass, and retention time can improve the confidence of annotation and provide techniques to create a reliable library for all ion fragmentation (AIF) data with a focus on the characterization of the retention time. The resulting spectral library incorporates information on adducts and in-source fragmentation in AIF data, while noise peaks are effectively minimized through multiple deconvolution processes. We also report the development of the Mass Spectral LIbrary MAnager (MS-LIMA) tool to accelerate library sharing and transfer across laboratories. This library construction strategy improves the confidence in annotation for AIF data in LC-MS-based metabolomics and will facilitate the sharing of retention time and mass spectral data in the metabolomics community.

Indexed as

all ion fragmentationchemical libraryLC–MSmass spectral deconvolutionmetabolomics

Identifiers

PMID31717785
PMCPMC6918128

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.