Evidence map›Paper›PMID 39464143›Full record

ArticlebioRxiv : the preprint server for biology2025

Structural annotation of full-scan MS data: A unified solution for LC-MS and MS imaging analyses.

Shipei Xing, Vincent Charron-Lamoureux, Måns Ekelöf, Yasin El Abiead, Huaxu Yu, Oliver Fiehn, Theodore Alexandrov, Pieter C Dorrestein

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Shipei XingSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-6227-6959
Vincent Charron-LamoureuxSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-9440-7036
Måns EkelöfStructural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Yasin El AbieadSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4392-7706
Huaxu YuWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA, USA.ORCID 0000-0002-2755-8325
Oliver FiehnWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA, USA.
Theodore AlexandrovStructural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0001-9464-6125
Pieter C DorresteinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.

Funding

Collaborative Microbial Metabolite CenterU24DK133658 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2022 to 2026
$2.9M
A reproducible database for untargeted metabolomics data processing across laboratoriesR01GM155383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHARLES ROBERT EVANS, Oliver Fiehn · 2024 to 2026
$1.5M
NIDDK NIH HHS U24 DK133658NIGMS NIH HHS R01 GM155383
6 · The paper itself

Abstract

Public liquid chromatography-mass spectrometry (LC-MS) and MS imaging metabolomics data repositories contain millions of files, with over 40% of them consisting solely of MS1 (full-scan) information, creating a significant gap in data reuse potential due to limited annotation capabilities. Here, we present

Identifiers

PMID39464143
PMCPMC11507738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.