Welcome to the Proteome Database of the Department of proteomics and Signal transduction at the Max-Planck-Institut for Biochemistry, you are the visitor 3700887.          Quick Search(IPI)

Organellar Map Database

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.

In our Organellar Map Database, we provide protein and peptide list with organellar map information. Use the database, it is easy to search proteins or peptides by IPI accession number, Uniprot accession number, protein name, description, location and peptide sequence, and also do batch search.

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Body Fluid Database

Body fluids are one of the important targets for proteomics. Characterization of the protein composition of bodilyfluids could lead us to better understand human physiology. If a quantitative aspect is added, proteomics could contribute to the discovery of novel biomarkers.

In our bodily fluid protein database, we provide protein and peptide list of cerebrospinal fluid (CSF), urine, tear and seminal plasma. All of our data were obtained by a state of the art mass spectrometer, a linear ion trap-Fourier transform instrument (LTQ-FT) or a linear ion trap-Orbitrap (LTQ-Orbitrap) with extremely high mass accuracy. You can search proteins or peptides by protein ID (IPI), protein name and peptide sequence across four bodily fluids.

Enter the branch database: Seminal Fluid Database, Tear Fluid Database, Urinary Proteome Database

Reviewed in:
Alexander Schmidt & Ruedi Aebersold
High-accuracy proteome maps of human body fluids Genome Biology 7 , 242 (2006).

Red Blood Cell Database

With 20 to 30 trillion circulating representatives, the Red Blood Cell (RBC) is one of the most important cell populations in the human body. Alongside a vital role as a gas shuttle between the lungs and other body tissues, it has been ascribed many other equally important, but less well characterized functions. As an essential host cell to malaria parasites that kill two million children each year and susceptible to genetic anomalies such as sickle cell anemia and G6PD deficiency, diseases of the RBC can be extremely serious. Now for the first time traditional biochemical techniques have been combined with state of the art technology (a linear ion trap-Fourier transform mass spectrometer (LTQ-FT)) to obtain the most detailed RBC proteome ever.

Our Human Red Blood Cell Database (hRBCD) is divided into membrane and soluble proteins, providing information ranging from identification of specific isoforms to the class and metabolic status of identified proteins. It also provides information on the biochemical characteristics of the membrane proteins and related statistical peptide information. hRBCD can be used in the process of confirming the presence of a protein in the red blood cell and to obtain further information on specific proteins and their biochemical behavior. A range of search possibilities are offered to get the most information out of the database: IPI accession number, protein name, description and class. Batch searches can also be undertaken.

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Adipocyte Proteome Database

Adipocytes are central players in energy metabolism and the obesity epidemic. Characterization of the adipocyte proteome could lead us to better insights in the pathophysiology of obesity and related syndromes. Application of high accuracy, high sensitivity mass spectrometric technology for protein identification with subcellular fractionation of 3T3-L1 adipocytes enabled us to identify 3287 proteins with extremely stringent identification criteria. Extensive bioinformatics analysis revealed several layers of information related to the adipocyte proteome, which were in turn mapped to an ensemble of biological processes, functions and pathways.

In our 3T3-L1 adipocyte proteome database, we provide protein and peptide list of the adipocyte with their subcellular localization information. Using the database, it is easy to search proteins or peptides by IPI accession number, protein name, description, subcellular location and peptide sequence, and also do batch search.

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Mouse Liver Proteome Database

Liver plays a major role in metabolism and participates in myriad functions in the body, including glycogen storage, plasma protein synthesis, and detoxification. The comprehensive mapping of liver proteome will augment our understanding of its physiology, and provide further insights into its role in various pathological conditions. This will in turn provide impetus to the development of liver-specific therapeutics and diagnostics.

We report a large-scale analysis of mouse liver tissue comprising a novel fractionation approach and high accuracy mass spectrometry techniques resulting in confident identification of 2210 proteins. In our mouse liver proteome database, we provide protein and peptide list of the mouse liver tissue. Using the database, it is easy to search proteins or peptides by IPI accession number, protein name, description and peptide sequence, and also do batch search.

Enter the Mouse Liver Proteome Database


"MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes." Nucleic Acids Res 35: D771-9. (2007) [Full Text]

MAPU database is maintained by the department for Proteomics and Signal Transduction @ Max Planck Institute of Biochemistry. If any suggestions, please contact us.