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CEDAR, an online resource for the reporting and exploration of complexome profiling data

View ORCID ProfileJoeri van Strien, Alexander Haupt, Uwe Schulte, View ORCID ProfileHans-Peter Braun, View ORCID ProfileAlfredo Cabrera-Orefice, View ORCID ProfileJyoti S. Choudhary, View ORCID ProfileFelix Evers, View ORCID ProfileErika Fernandez-Vizarra, Sergio Guerrero-Castillo, View ORCID ProfileTaco W.A. Kooij, Petra Páleníková, View ORCID ProfileMercedes Pardo, View ORCID ProfileCristina Ugalde, View ORCID ProfileIlka Wittig, Lars Wöhlbrand, View ORCID ProfileUlrich Brandt, Susanne Arnold, View ORCID ProfileMartijn A. Huynen
doi: https://doi.org/10.1101/2020.12.11.421172
Joeri van Strien
1Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Alexander Haupt
2Institute of Physiology, Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
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Uwe Schulte
2Institute of Physiology, Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
3Center for Biological Signalling Studies (BIOSS) and Center for Integrative Signalling Studies (CIBSS), 79104 Freiburg, Germany
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Hans-Peter Braun
4Institute of Plant Genetics, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, Germany
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Alfredo Cabrera-Orefice
1Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Jyoti S. Choudhary
5Functional Proteomics, The Institute of Cancer Research, London SW7 3RP, UK
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Felix Evers
6Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Erika Fernandez-Vizarra
7MRC Mitochondrial Biology Unit, University of Cambridge, UK
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Sergio Guerrero-Castillo
8University Children’s Research@Kinder-UKE, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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Taco W.A. Kooij
6Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Petra Páleníková
7MRC Mitochondrial Biology Unit, University of Cambridge, UK
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Mercedes Pardo
5Functional Proteomics, The Institute of Cancer Research, London SW7 3RP, UK
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Cristina Ugalde
9Hospital 12 de Octubre Research Institute, Madrid 28041, Spain
10Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), U723, Madrid, Spain
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Ilka Wittig
11Functional Proteomics, Medical School, Goethe-University, 60590 Frankfurt am Main, Germany
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Lars Wöhlbrand
12General and Molecular Microbiology, Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
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Ulrich Brandt
13Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen
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Susanne Arnold
13Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen
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Martijn A. Huynen
1Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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  • For correspondence: martijn.huijnen@radboudumc.nl
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Abstract

Complexome profiling is an emerging ‘omics approach that systematically interrogates the composition of protein complexes (the complexome) of a sample, by combining biochemical separation of native protein complexes with mass-spectrometry based quantitation proteomics. The resulting fractionation profiles hold comprehensive information on the abundance and composition of the complexome, and have a high potential for reuse by experimental and computational researchers. However, the lack of a central resource that provides access to these data, reported with adequate descriptions and an analysis tool, has limited their reuse. Therefore, we established the ComplexomE profiling DAta Resource (CEDAR, www3.cmbi.umcn.nl/cedar/), an openly accessible database for depositing and exploring mass spectrometry data from complexome profiling studies. Compatibility and reusability of the data is ensured by a standardized data and reporting format containing the “minimum information required for a complexome profiling experiment” (MIACE). The data can be accessed through a user-friendly web interface, as well as programmatically using the REST API portal. Additionally, all complexome profiles available on CEDAR can be inspected directly on the website with the profile viewer tool that allows the detection of correlated profiles and inference of potential complexes. In conclusion, CEDAR is a unique, growing and invaluable resource for the study of protein complex composition and dynamics across biological systems.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://www3.cmbi.umcn.nl/cedar/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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CEDAR, an online resource for the reporting and exploration of complexome profiling data
Joeri van Strien, Alexander Haupt, Uwe Schulte, Hans-Peter Braun, Alfredo Cabrera-Orefice, Jyoti S. Choudhary, Felix Evers, Erika Fernandez-Vizarra, Sergio Guerrero-Castillo, Taco W.A. Kooij, Petra Páleníková, Mercedes Pardo, Cristina Ugalde, Ilka Wittig, Lars Wöhlbrand, Ulrich Brandt, Susanne Arnold, Martijn A. Huynen
bioRxiv 2020.12.11.421172; doi: https://doi.org/10.1101/2020.12.11.421172
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CEDAR, an online resource for the reporting and exploration of complexome profiling data
Joeri van Strien, Alexander Haupt, Uwe Schulte, Hans-Peter Braun, Alfredo Cabrera-Orefice, Jyoti S. Choudhary, Felix Evers, Erika Fernandez-Vizarra, Sergio Guerrero-Castillo, Taco W.A. Kooij, Petra Páleníková, Mercedes Pardo, Cristina Ugalde, Ilka Wittig, Lars Wöhlbrand, Ulrich Brandt, Susanne Arnold, Martijn A. Huynen
bioRxiv 2020.12.11.421172; doi: https://doi.org/10.1101/2020.12.11.421172

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