1
|
Bouyssié D, Hesse AM, Mouton-Barbosa E, Rompais M, Macron C, Carapito C, Gonzalez de Peredo A, Couté Y, Dupierris V, Burel A, Menetrey JP, Kalaitzakis A, Poisat J, Romdhani A, Burlet-Schiltz O, Cianférani S, Garin J, Bruley C. Proline: an efficient and user-friendly software suite for large-scale proteomics. Bioinformatics 2020; 36:3148-3155. [PMID: 32096818 PMCID: PMC7214047 DOI: 10.1093/bioinformatics/btaa118] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 01/10/2020] [Accepted: 02/18/2020] [Indexed: 11/30/2022] Open
Abstract
Motivation The 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. Results Here, 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.
Collapse
Affiliation(s)
- David Bouyssié
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Anne-Marie Hesse
- Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France
| | - Emmanuelle Mouton-Barbosa
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Magali Rompais
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | - Charlotte Macron
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | - Anne Gonzalez de Peredo
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yohann Couté
- Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France
| | | | - Alexandre Burel
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | | | - Andrea Kalaitzakis
- Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France
| | - Julie Poisat
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Aymen Romdhani
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | - Odile Burlet-Schiltz
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France
| | - Jerome Garin
- Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France
| | - Christophe Bruley
- Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France
| |
Collapse
|
2
|
Charrin E, Aufradet E, Douillard A, Romdhani A, Souza GD, Bessaad A, Faes C, Chirico EN, Pialoux V, Martin C. Oxidative stress is decreased in physically active sickle cell SAD mice. Br J Haematol 2014; 168:747-56. [DOI: 10.1111/bjh.13207] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 09/29/2014] [Indexed: 01/17/2023]
Affiliation(s)
- Emmanuelle Charrin
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Emeline Aufradet
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Aymeric Douillard
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Aymen Romdhani
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Genevieve De Souza
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Amine Bessaad
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Camille Faes
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Erica N. Chirico
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Vincent Pialoux
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| | - Cyril Martin
- EA 647; Center of Research and Innovation on Sports; University of Lyon; Lyon France
| |
Collapse
|