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The proteomic to biology inference, a frequently overlooked concern in the interpretation of proteomic data: a plea for functional validation

Authors :
Thierry Rabilloud
Pierre Lescuyer
Protéomique, Métaux et Différenciation (ProMD )
Laboratoire de Chimie et Biologie des Métaux (LCBM - UMR 5249)
Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG)
Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Laboratoire de Protéomique Clinique, Service de Médecine de Laboratoire, HCUG
Hôpital Universitaire de Genève
Hôpital Universitaire de Genève = University Hospitals of Geneva (HUG)
Source :
Proteomics, Vol. 14, No 2-3 (2014) pp. 157-61, Proteomics, Proteomics, Wiley-VCH Verlag, 2014, 14 (2-3), pp.157-61. ⟨10.1002/pmic.201300413⟩, Proteomics, 2014, 14 (2-3), pp.157-61. ⟨10.1002/pmic.201300413⟩
Publication Year :
2014

Abstract

International audience; Proteomics will celebrate its 20th year in 2014. In this relatively short period of time, it has invaded most areas of biology and its use will probably continue to spread in the future. These two decades have seen a considerable increase in the speed and sensitivity of protein identification and characterization, even from complex samples. Indeed, what was a challenge twenty years ago is now little more than a daily routine. Although not completely over, the technological challenge now makes room to another challenge, which is the best possible appraisal and exploitation of proteomic data to draw the best possible conclusions from a biological point of view. The point developed in this paper is that proteomic data are almost always fragmentary. This means in turn that although better than an mRNA level, a protein level is often insufficient to draw a valid conclusion from a biological point of view, especially in a world where PTMs play such an important role. This means in turn that transformation of proteomic data into biological data requires an important intermediate layer of functional validation, i.e. not merely the confirmation of protein abundance changes by other methods, but a functional appraisal of the biological consequences of the protein level changes highlighted by the proteomic screens.

Details

Language :
English
ISSN :
16159853 and 16159861
Database :
OpenAIRE
Journal :
Proteomics, Vol. 14, No 2-3 (2014) pp. 157-61, Proteomics, Proteomics, Wiley-VCH Verlag, 2014, 14 (2-3), pp.157-61. ⟨10.1002/pmic.201300413⟩, Proteomics, 2014, 14 (2-3), pp.157-61. ⟨10.1002/pmic.201300413⟩
Accession number :
edsair.doi.dedup.....68d62d3da47f94ce7731b091d617e52f
Full Text :
https://doi.org/10.1002/pmic.201300413⟩