Evidence map›Paper›PMID 32096818›Full record

ArticleBioinformatics (Oxford, England)2020

Proline: an efficient and user-friendly software suite for large-scale proteomics.

David Bouyssié, Anne-Marie Hesse, Emmanuelle Mouton-Barbosa, Magali Rompais, Charlotte Macron, Christine Carapito, Anne Gonzalez de Peredo, Yohann Couté, Véronique Dupierris, Alexandre Burel and 8 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 1 pooled it
–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

148 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD.Methods in molecular biology (Clifton, N.J.) · 2023
    Pooled it
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  19. Proteomic profile data ofData in brief · 2026
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88 more citing papers are in PubMed but not listed here.

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

18 authors.

David BouyssiéInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Anne-Marie HesseUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Emmanuelle Mouton-BarbosaInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Magali RompaisLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Charlotte MacronLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Christine CarapitoLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Anne Gonzalez de PeredoInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Yohann CoutéUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Véronique DupierrisUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Alexandre BurelLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Jean-Philippe MenetreyUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Andrea KalaitzakisUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Julie PoisatInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Aymen RomdhaniLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Odile Burlet-SchiltzInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Sarah CianféraniLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France.
Jerome GarinUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.
Christophe BruleyUniversité Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe proteomics field requires the production and publication of reliable mass spectrometry-based identification and quantification results. Although many tools or algorithms exist, very few consider the importance of combining, in a unique software environment, efficient processing algorithms and a data management system to process and curate hundreds of datasets associated with a single proteomics study.

resultsHere, we present Proline, a robust software suite for analysis of MS-based proteomics data, which collects, processes and allows visualization and publication of proteomics datasets. We illustrate its ease of use for various steps in the validation and quantification workflow, its data curation capabilities and its computational efficiency. The DDA label-free quantification workflow efficiency was assessed by comparing results obtained with Proline to those obtained with a widely used software using a spiked-in sample. This assessment demonstrated Proline's ability to provide high quantification accuracy in a user-friendly interface for datasets of any size. AVAILABILITY AND IMPLEMENTATION: Proline is available for Windows and Linux under CECILL open-source license. It can be deployed in client-server mode or in standalone mode at http://proline.profiproteomics.fr/#downloads. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProlineProteomicsAlgorithmsMass SpectrometrySoftwareProline

Identifiers

PMID32096818
PMCPMC7214047

What OpenQuestion holds

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LicenceCC BY-NC
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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.