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ProMetIS, deep phenotyping of mouse models by combined proteomics and metabolomics analysis.
Imbert A, Rompais M, Selloum M, Castelli F, Mouton-Barbosa E, Brandolini-Bunlon M, Chu-Van E, Joly C, Hirschler A, Roger P, Burger T, Leblanc S, Sorg T, Ouzia S, Vandenbrouck Y, Médigue C, Junot C, Ferro M, Pujos-Guillot E, de Peredo AG, Fenaille F, Carapito C, Herault Y, Thévenot EA. Imbert A, et al. Among authors: mouton barbosa e. Sci Data. 2021 Dec 3;8(1):311. doi: 10.1038/s41597-021-01095-3. Sci Data. 2021. PMID: 34862403 Free PMC article.
Computational and Mass-Spectrometry-Based Workflow for the Discovery and Validation of Missing Human Proteins: Application to Chromosomes 2 and 14.
Carapito C, Lane L, Benama M, Opsomer A, Mouton-Barbosa E, Garrigues L, Gonzalez de Peredo A, Burel A, Bruley C, Gateau A, Bouyssié D, Jaquinod M, Cianferani S, Burlet-Schiltz O, Van Dorsselaer A, Garin J, Vandenbrouck Y. Carapito C, et al. J Proteome Res. 2015 Sep 4;14(9):3621-34. doi: 10.1021/pr5010345. Epub 2015 Jul 22. J Proteome Res. 2015. PMID: 26132440
Benchmarking quantitative label-free LC-MS data processing workflows using a complex spiked proteomic standard dataset.
Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssié D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianférani S, Ferro M, Van Dorssaeler A, Burlet-Schiltz O, Schaeffer C, Couté Y, Gonzalez de Peredo A. Ramus C, et al. J Proteomics. 2016 Jan 30;132:51-62. doi: 10.1016/j.jprot.2015.11.011. Epub 2015 Nov 14. J Proteomics. 2016. PMID: 26585461
Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods.
Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssié D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianférani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Couté Y, Gonzalez de Peredo A. Ramus C, et al. Data Brief. 2015 Dec 17;6:286-94. doi: 10.1016/j.dib.2015.11.063. eCollection 2016 Mar. Data Brief. 2015. PMID: 26862574 Free PMC article.
Looking for Missing Proteins in the Proteome of Human Spermatozoa: An Update.
Vandenbrouck Y, Lane L, Carapito C, Duek P, Rondel K, Bruley C, Macron C, Gonzalez de Peredo A, Couté Y, Chaoui K, Com E, Gateau A, Hesse AM, Marcellin M, Méar L, Mouton-Barbosa E, Robin T, Burlet-Schiltz O, Cianferani S, Ferro M, Fréour T, Lindskog C, Garin J, Pineau C. Vandenbrouck Y, et al. J Proteome Res. 2016 Nov 4;15(11):3998-4019. doi: 10.1021/acs.jproteome.6b00400. Epub 2016 Aug 23. J Proteome Res. 2016. PMID: 27444420 Free article.
Proline: an efficient and user-friendly software suite for large-scale proteomics.
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. Bouyssié D, et al. Bioinformatics. 2020 May 1;36(10):3148-3155. doi: 10.1093/bioinformatics/btaa118. Bioinformatics. 2020. PMID: 32096818 Free PMC article.
A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics.
Van Puyvelde B, Daled S, Willems S, Gabriels R, Gonzalez de Peredo A, Chaoui K, Mouton-Barbosa E, Bouyssié D, Boonen K, Hughes CJ, Gethings LA, Perez-Riverol Y, Bloomfield N, Tate S, Schiltz O, Martens L, Deforce D, Dhaenens M. Van Puyvelde B, et al. Among authors: mouton barbosa e. Sci Data. 2022 Mar 30;9(1):126. doi: 10.1038/s41597-022-01216-6. Sci Data. 2022. PMID: 35354825 Free PMC article.
25 results