Evidence map›Paper›PMID 29381867›Full record

ArticleAnalytical chemistry2018

METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Carlos Guijas, J Rafael Montenegro-Burke, Xavier Domingo-Almenara, Amelia Palermo, Benedikt Warth, Gerrit Hermann, Gunda Koellensperger, Tao Huan, Winnie Uritboonthai, Aries E Aisporna and 4 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 448 papers.

0numbers the graph read from it
0cells of the map it votes in
448citing 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

448 citing papers in PubMed.

  1. Trial
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  6. Observational
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  17. Article
  18. Untargeted Multiple Reaction Monitoring.Analytical chemistry · 2026
    Article
  19. Review
  20. Article

388 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

J Rafael Montenegro-BurkeORCID 0000-0001-7787-3414
Xavier Domingo-AlmenaraORCID 0000-0002-0133-6863
Amelia Palermo
Gerrit HermannISOtopic Solutions , Waehringerstrasse 38 , Vienna 1090 , Austria.
Gunda Koellensperger
Winnie Uritboonthai
Aries E Aisporna
Mary E Spilker
H Paul Benton

Funding

XCMS Metabolomic Data TechnologyR01GM114368 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SIUZDAK, GARY E · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM114368
6 · The paper itself

Abstract

METLIN originated as a database to characterize known metabolites and has since expanded into a technology platform for the identification of known and unknown metabolites and other chemical entities. Through this effort it has become a comprehensive resource containing over 1 million molecules including lipids, amino acids, carbohydrates, toxins, small peptides, and natural products, among other classes. METLIN's high-resolution tandem mass spectrometry (MS/MS) database, which plays a key role in the identification process, has data generated from both reference standards and their labeled stable isotope analogues, facilitated by METLIN-guided analysis of isotope-labeled microorganisms. The MS/MS data, coupled with the fragment similarity search function, expand the tool's capabilities into the identification of unknowns. Fragment similarity search is performed independent of the precursor mass, relying solely on the fragment ions to identify similar structures within the database. Stable isotope data also facilitate characterization by coupling the similarity search output with the isotopic m/ z shifts. Examples of both are demonstrated here with the characterization of four previously unknown metabolites. METLIN also now features in silico MS/MS data, which has been made possible through the creation of algorithms trained on METLIN's MS/MS data from both standards and their isotope analogues. With these informatic and experimental data features, METLIN is being designed to address the characterization of known and unknown molecules.

Indexed as

Cell ExtractsDatabases, ChemicalDatasets as TopicMetabolomicsPichiaTandem Mass SpectrometryCell Extracts

Identifiers

PMID29381867
PMCPMC5933435

What OpenQuestion holds

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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.