Welcome to the Organellar Map Database of the Department for Proteomics and Signal Transduction at the Max-Planck-Institut for Biochemistry.

This database accompanies the article:
A mammalian organelle map by protein correlation profiling (CELL 125, 187-199, 2006) [PDF] (Subscription required)

by
Leonard J. Foster*, †, Carmen L. de Hoog*, †, Yanling Zhang‡,+, Yong Zhang‡,+, Xiaohui Xie§, Vamsi K. Mootha§, Matthias Mann*,‡

* Center for Experimental BioInformatics (CEBI), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark. † Centre for Proteomics, Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC V6T 1Z4. ‡ Department of Proteomics and Signal Transduction, Max-Planck Institute for Biochemistry, Martinsried , Germany D-82152. + Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 101300, China § Departments of Systems Biology and of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, Broad Institute of Harvard and MIT, Cambridge, MA 02139.

Abstract

Protein localization to membrane-enclosed organelles is a central feature of cellular organization. Using protein correlation profiling we have mapped 1405 proteins to ten subcellular locations in mouse liver and these correspond with enzymatic assays, marker protein profiles and confocal microscopy. These localizations allowed assessment of the specificity in published organellar proteomic inventories and demonstrate multiple locations for 39% of all organellar proteins. Integration of proteomic and genomic data enabled us to identify networks of co-expressed genes, cis-regulatory motifs, and putative transcriptional regulators involved in organelle biogenesis. Our analysis ties biochemistry, cell biology and genomics into a common framework for organelle analysis.