Evidence map›Paper›PMID 41396980›Full record

ArticlePLoS computational biology2025

LCMSpector: A simple open-source viewer for targeted hyphenated mass spectrometry analysis.

Mateusz Fido, Etienne Hoesli, Elisa Cappio Barazzone, Renato Zenobi, Emma Slack

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mateusz FidoDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zürich, Switzerland.ORCID 0009-0002-0878-5968
Etienne HoesliDepartment of Biology, Swiss Federal Institute of Technology, Zürich, Switzerland.ORCID 0009-0008-4163-9106
Elisa Cappio BarazzoneDepartment of Health Sciences and Technology, Swiss Federal Institute of Technology, Zürich, Switzerland.
Renato ZenobiDepartment of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zürich, Switzerland.
Emma SlackDepartment of Health Sciences and Technology, Swiss Federal Institute of Technology, Zürich, Switzerland.ORCID 0000-0002-2473-1145

Funding

Basel Research Center for Child HealthEuropean Research Council ConsolidatorNCCR Microbiomes, a National Centre of Competence in ResearchSwiss National Science Foundation
6 · The paper itself

Abstract

The ubiquitousness of hyphenated mass spectrometry techniques across life sciences has made researchers around the world aware of their analytical power. However, the analysis of multidimensional high-complexity mass spectrometry data remains virtually impossible for non-specialists. LCMSpector is a standalone graphical user interface application for straightforward analysis of targeted mass spectrometry data, distributed under the MIT license and available free of charge for Windows, MacOS, and Linux. The user can upload and process the data entirely locally on their machine by specifying the desired mass-to-charge ratios of the targeted compound ions and simply clicking "Process". It allows for the processing of multiple files simultaneously, freely modifying and exporting graphs in real time, and calculating compound concentrations based on calibration standards. We show the versatility and applicability of LCMSpector to different kinds of mass spectrometry data by analyzing a series of publicly available datasets from various samples recorded on instruments from multiple vendors and by different research teams.

Indexed as

Mass SpectrometrySoftwareComputational BiologyHumansUser-Computer Interface

Identifiers

PMID41396980
PMCPMC12725707

What OpenQuestion holds

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LicenceCC BY
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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.