TY  - JOUR
A1  - Strien, Joeri van
A1  - Haupt, Alexander
A1  - Schulte, Uwe
A1  - Braun, Hans-Peter
A1  - Cabrera-Orefice, Alfredo
A1  - Choudhary, Jyoti S.
A1  - Evers, Felix
A1  - Fernandez-Vizarra, Erika
A1  - Guerrero-Castillo, Sergio
A1  - Kooij, Taco W.A.
A1  - Páleníková, Petra
A1  - Pardo, Mercedes
A1  - Ugalde, Cristina
A1  - Wittig, Ilka
A1  - Wöhlbrand, Lars
A1  - Brandt, Ulrich
A1  - Arnold, Susanne
A1  - Huynen, Martijn A.
T1  - CEDAR, an online resource for the reporting and exploration of complexome profiling data
T2  - Biochimica et biophysica acta : BBA
N2  - 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.
KW  - Complexome profiling
KW  - FAIR
KW  - Database
KW  - Protein complex
KW  - Data visualization
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/63102
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-631025
SN  - 1879-2650
N1  - This work was supported by grants from the Dutch Organisation for Health Research and Development (ZON-MW TOP grant number 91217009; MH., UB, SA and JS), the Netherlands Organisation for Scientific Research (NWO-VIDI 864.13.009, TWAK and FE), Comunidad Autónoma de Madrid (ERDF-ESF Grant P2018/BAA-4403; CU), Instituto de Salud Carlos III-MINECO (European FEDER Funds Grant PI17-00048; CU), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Project-ID 403222702 – SFB 1381; US) and under Germany's Excellence Strategy (CIBSS - EXC-2189 - Project ID 390939984; US), the Medical Research Council Core (Grant MC_UU_00015/5; EFV), the Association Française contre les Myopathies (AFM) (Grant 16086; EFV), the Deutsche Forschungsgemeinschaft (SFB 815/Z1; IW), BMBF mitoNET — German Network for Mitochondrial Disorders (01GM1906D; IW), Medical Research Council, UK (MC_UU_00015/4, PP), Marie Sklodowska-Curie ITN-REMIX grant (Grant 721757; PP), DFG grant (Br 1829/16-1; HPB), and the CRUK Centre (C309/A25144).
VL  - 1862
IS  - 7, art. 148411
SP  - 1
EP  - 8
PB  - Elsevier
CY  - Amsterdam
ER  -