4.5 Article

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

期刊

出版社

ELSEVIER
DOI: 10.1016/j.bbabio.2021.148411

关键词

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

资金

  1. Dutch Organisation for Health Research and Development (ZON-MW TOP) [91217009]
  2. Netherlands Organisation for Scientific Research [NWO-VIDI 864.13.009]
  3. Comunidad Autonoma de Madrid (ERDF-ESF) [P2018/BAA-4403]
  4. Instituto de Salud Carlos III-MINECO (European FEDER Funds) [PI17-00048]
  5. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [403222702 - SFB 1381]
  6. Deutsche Forschungsgemeinschaft under Germany's Excellence Strategy [CIBSS - EXC-2189, 390939984]
  7. Medical Research Council [MC_UU_00015/5]
  8. Association Francaise contre les Myopathies (AFM) [16086]
  9. Deutsche Forschungsgemeinschaft [SFB 815/Z1, Br 1829/16-1]
  10. BMBF mitoNET - German Network for Mitochondrial Disorders [01GM1906D]
  11. Medical Research Council, UK [MC_UU_00015/4]
  12. Marie Sklodowska-Curie ITN-REMIX grant [721757]
  13. CRUK Centre [C309/A25144]
  14. Marie Curie Actions (MSCA) [721757] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

Complexome profiling is a new method to study protein complexes systematically, while the CEDAR database provides an openly accessible platform for storing and exploring these data, facilitating research on protein complex composition and dynamics across biological systems.
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.

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