Evidence map›Paper›PMID 35119811›Full record

ArticleAnalytical chemistry2022

Acyl-CoA Identification in Mouse Liver Samples Using the In Silico CoA-Blast Tandem Mass Spectral Library.

Uri Keshet, Tobias Kind, Xinchen Lu, Sarita Devi, Oliver Fiehn

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 3 countries.

Uri KeshetUniversity of California Davis, Genome Center-Metabolomics, Davis, California 95616, United States.
Tobias KindUniversity of California Davis, Genome Center-Metabolomics, Davis, California 95616, United States.
Xinchen LuUniversity of California Davis, Genome Center-Metabolomics, Davis, California 95616, United States.
Sarita DeviUniversity of California Davis, Genome Center-Metabolomics, Davis, California 95616, United States.
Oliver FiehnUniversity of California Davis, Genome Center-Metabolomics, Davis, California 95616, United States.ORCID 0000-0002-6261-8928
University of California, Davis · USPeking University · CNSt. John's National Academy of Health Sciences · IN

Funding

West Coast Metabolomics Center for Compound IdentificationU2CES030158 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2018 to 2021
$4.1M
NIEHS NIH HHS U2C ES030158
6 · The paper itself

Abstract

Acyl-coenzyme A derivatives (acyl-CoAs) are core molecules in the fatty acid and energy metabolism across all species. However, in vivo, many other carboxylic acids can form xenobiotic acyl-CoA esters, including drugs. More than 2467 acyl-CoAs are known from the published literature. In addition, more than 300 acyl-CoAs are covered in pathway databases, but as of October 2020, only 53 experimental acyl-CoA tandem mass spectra are present in NIST20 and MoNA libraries to enable annotation of the mass spectra in untargeted metabolomics studies. The experimental spectra originated from low-resolution ion trap and triple quadrupole mass spectrometers as well as high-resolution quadrupole-time of flight and orbital ion trap instruments at various collision energies. We used MassFrontier software and the literature to annotate fragment ions to generate fragmentation rules and intensities for the different instruments and collision energies. These rules were then applied to 1562 unique species based on [M+H]

Indexed as

Acyl Coenzyme ATandem Mass SpectrometryAnimalsLiverMetabolomicsMiceSoftwareAcyl Coenzyme A

Identifiers

PMID35119811
PMCPMC11492806
OpenAlexW4210495779

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.