Literature DB >> 33722514

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

Joeri van Strien1, Alexander Haupt2, Uwe Schulte3, Hans-Peter Braun4, Alfredo Cabrera-Orefice1, Jyoti S Choudhary5, Felix Evers6, Erika Fernandez-Vizarra7, Sergio Guerrero-Castillo8, Taco W A Kooij6, Petra Páleníková7, Mercedes Pardo5, Cristina Ugalde9, Ilka Wittig10, Lars Wöhlbrand11, Ulrich Brandt12, Susanne Arnold12, Martijn A Huynen13.   

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.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Complexome profiling; Data visualization; Database; FAIR; Protein complex

Year:  2021        PMID: 33722514     DOI: 10.1016/j.bbabio.2021.148411

Source DB:  PubMed          Journal:  Biochim Biophys Acta Bioenerg        ISSN: 0005-2728            Impact factor:   3.991


  3 in total

1.  Quantitative density gradient analysis by mass spectrometry (qDGMS) and complexome profiling analysis (ComPrAn) R package for the study of macromolecular complexes.

Authors:  Petra Páleníková; Michael E Harbour; Shujing Ding; Ian M Fearnley; Lindsey Van Haute; Joanna Rorbach; Rick Scavetta; Michal Minczuk; Pedro Rebelo-Guiomar
Journal:  Biochim Biophys Acta Bioenerg       Date:  2021-02-13       Impact factor: 3.991

Review 2.  Complexome Profiling-Exploring Mitochondrial Protein Complexes in Health and Disease.

Authors:  Alfredo Cabrera-Orefice; Alisa Potter; Felix Evers; Johannes F Hevler; Sergio Guerrero-Castillo
Journal:  Front Cell Dev Biol       Date:  2022-01-12

3.  Ablation of mitochondrial DNA results in widespread remodeling of the mitochondrial complexome.

Authors:  Sergio Guerrero-Castillo; Joeri van Strien; Ulrich Brandt; Susanne Arnold
Journal:  EMBO J       Date:  2021-09-20       Impact factor: 11.598

  3 in total

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