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Quality control of purified proteins to improve data quality and reproducibility : results from a large-scale survey

Title data

Berrow, Nick ; de Marco, Ario ; Lebendiker, Mario ; Garcia-Alai, Maria ; Knauer, Stefan H. ; Lopez-Mendetz, Blanca ; Matagne, André ; Parret, Annabel ; Remans, Kim ; Uebel, Stephan ; Raynal, Bertrand:
Quality control of purified proteins to improve data quality and reproducibility : results from a large-scale survey.
Protein Expression Core Facility, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028, Barcelona, Spain; Lab of Environmental and Life Sciences, University of Nova Gorica, 5271, Vipava, Vipava, Slovenia; Protein Purification Facility, Wolfson Centre for Applied Structural Biology, Edmund J. Safra Campus—The Hebrew University of Jerusalem, 91904, Jerusalem, Israel; European Molecular Biology Laboratory (EMBL), Hamburg Outstation and Centre for Structural Systems Biology, 22607, Hamburg, Germany; Biochemistry IV—Biopolymers, University of Bayreuth, 95440, Bayreuth, Germany; Protein Production and Characterization Platform, Novo Nordisk Foundation Center for Protein Research, 2200, Copenhagen, Denmark; Laboratory of Enzymology and Protein Folding, Centre for Protein Engineering, InBioS, University of Liège, Building B6C, Quartier Agora, Allée du 6 Août, 13, 4000, Liège, Belgium; Protein Expression and Purification Core Facility, EMBL Heidelberg, 69117, Heidelberg, Germany; Bioorganic Chemistry and Biophysics Core, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany; Plateforme de Biophysique Moléculaire, Department of Structural Biology and Chemistry, Institut Pasteur, 75015, Paris, France
In: European Biophysics Journal with Biophysics Letters. (April 2021) .
ISSN 1432-1017
DOI: https://doi.org/10.1007/s00249-021-01528-2

Abstract in another language

As the scientific community strives to make published results more transparent and reliable, it has become obvious that poor data reproducibility can often be attributed to insufficient quality control of experimental reagents. In this context, proteins and peptides reagents require much stricter quality controls than those routinely performed on them in a significant proportion of research laboratories. Members of the ARBRE-MOBIEU and the P4EU networks have combined their expertise to generate guidelines for the evaluation of purified proteins used in life sciences and medical trials. These networks, representing more than 150 laboratories specialized in protein production and/or protein molecular biophysics, have implemented such guidelines in their respective laboratories. Over a one-year period, the network members evaluated the contribution these guidelines made toward obtaining more productive, robust and reproducible research by correlating the applied quality controls to given samples with the reliability and reproducibility of the scientific data obtained using these samples in follow-up experiments. The results indicate that QC guideline implementation facilitates the optimization of the protein purification process and improves the reliability of downstream experiments. It seems, therefore, that investing in protein QC might be advantageous to all the stakeholders in life sciences (researchers, editors, and funding agencies alike), because this practice improves data veracity and minimizes loss of valuable time and resources. In the light of these conclusions, the network members suggest that the implementation of these simple QC guidelines should become minimal reporting practice in the publication of data derived from the use of protein and peptide reagents.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biopolymers > Chair Biopolymers - Apl. Prof. Dr. Birgitta Wöhrl
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 26 Apr 2021 10:01
Last Modified: 26 Apr 2021 10:01
URI: https://eref.uni-bayreuth.de/id/eprint/64906