ProteomicsDB


NAR Molecular Biology Database Collection entry number 182
Tobias Schmidt, Patroklos Samaras, Martin Frejno, Siegfried Gessulat, Maximilian Barnert, Harald Kienegger, Helmut Krcmar, Judith Schleg, Hans-Christian Ehrlich, Stephan Aiche, Bernhard Kuster, Mathias Wilhelm

Database Description

ProteomicsDB (https://www.ProteomicsDB.org) is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC–MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e.g. NCBI GEO, protein–protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.

Acknowledgements

German Federal Ministry of Education and Research (BMBF) [031L0008A] (in part). Funding for open access charge: German Federal Ministry of Education and Research (BMBF) [031L0008A].


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