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Database Commons - MitoP2

MitoP2

Citations: 156

z-index 0.00

Short name MitoP2
Full name An integrative tool for the analysis of the mitochondrial proteome
Description The MitoP2 database integrates information on mitochondrial proteins, their molecular functions and associated diseases.
URL http://www.mitop.de
Year founded 2006
Last update & version 2008-09-09    
Availability Not Available
University/Institution hosted Technical University of Munich
Address Germany
City Munich
Province/State
Country/Region Germany
Contact name H. Prokisch
Contact email prokisch@gsf.de
Data type(s)
Major organism(s)
Keyword(s)
  • mitochondrial protein
Publication(s)
  • MitoP2: an integrative tool for the analysis of the mitochondrial proteome. [PMID: 18780189]

    Matthias Elstner, Christophe Andreoli, Uwe Ahting, Igor Tetko, Thomas Klopstock, Thomas Meitinger, Holger Prokisch
    Molecular biotechnology 2008:40(3)
    54 Citations (Google Scholar as of 2016-01-27)

    Abstract: Mitochondria are crucial for normal cell metabolism and maintenance. Mitochondrial dysfunction has been implicated in a spectrum of human diseases, ranging from rare monogenic to common multifactorial disorders. Important for the understanding of organelle function is the assignment of its constituents, and although over 1,500 proteins are predicted to be involved in mammalian mitochondrial function, so far only about 900 are assigned to mitochondria with reasonable certainty. Continuing efforts are being taken to obtain a complete inventory of the mitochondrial proteome by single protein studies and high-throughput approaches. To be of best value for the scientific community this data needs to be structured, explored, and customized. For this purpose, the MitoP2 database ( http://www.mitop2.de ) was established and is maintained in order to incorporate such data. The central database contains manually evaluated yeast, mouse, and human reference proteins, which show convincing evidence of a mitochondrial location. In addition, entries from genome-wide approaches that suggest protein localization are integrated and serve to compile a combined score for each candidate, which provides a best estimate of mitochondrial localization. Furthermore, it integrates information on the orthology between species, including Saccharomyces cerevisiae, mouse, human, Arabidopsis thaliana, and Neurospora crassa, thus mutually enhancing evidence across species. In contrast to other known databases, MitoP2 takes into account the reliability by which the protein is estimated as being mitochondrially located, as described herein. Multiple search functions, as well as information on disease causing genes and available mouse models, makes MitoP2 a valuable tool for the genetic investigation of human mitochondrial pathology.

  • MitoP2, an integrated database for mitochondrial proteins. [PMID: 18314752]

    Holger Prokisch, Uwe Ahting
    Methods in molecular biology (Clifton, N.J.) 2007:372
    7 Citations (Google Scholar as of 2016-01-27)

    Abstract: The impact of mitochondria on several fundamental cellular processes is reflected in their involvement in the pathophysiology of common diseases such as Parkinson's disease, diabetes, and obesity and a wide range of monogenic disorders primarily associated with energy impairment or metabolic diseases. The importance of mitochondria is also reflected by the steep increase of proteins, which has been localized to this organelle. In yeast, more than 500 of the expected 700-800 mitochondrial proteins are already annotated. In the mammalian species, the expected numbers are estimated to be in the range of 1500-2000 proteins, and the currently annotated entries reach almost 700. In addition to the studies dealing with single proteins, there are many high-throughput approaches that improve the description of the mitochondrial proteome. They include computational predictions of signaling sequences, proteome mapping, mutant screening, expression profiling, protein-protein interaction, and cellular sublocalization studies. The MitoP2 database (http://www.mitop2.de/) was established to structure, explore, and customize the available data on mitochondrial proteins, functions, and diseases. MitoP2 provides a comprehensive picture of the mitochondrial proteome by focusing on (1) the orthology between species, including Saccharomyces cerevisiae, mouse, humans, and Arabidopsis thaliana; (2) the definition of mitochondrial reference sets in these species; (3) the integration of data predictive for mitochondrial localization or function stemming from genomewide approaches; (4) the allocation of a gateway for functional data from model systems and genetics of mitochondriopathies; and (5) the calculation of a combined score for each protein summarizing the indirect evidence for a mitochondrial localization. All data are accessible via search tools and linked to the original data source. By providing an overview of functional annotations from different databases, the MitoP2 database lends itself to genetic investigations of human mitochondriopathies.

  • MitoP2: the mitochondrial proteome database--now including mouse data. [PMID: 16381964]

    H Prokisch, C Andreoli, U Ahting, K Heiss, A Ruepp, C Scharfe, T Meitinger
    Nucleic acids research 2006:34(Database issue)
    95 Citations (Google Scholar as of 2016-01-27)

    Abstract: The MitoP2 database (http://www.mitop.de) integrates information on mitochondrial proteins, their molecular functions and associated diseases. The central database features are manually annotated reference proteins localized or functionally associated with mitochondria supplied for yeast, human and mouse. MitoP2 enables (i) the identification of putative orthologous proteins between these species to study evolutionarily conserved functions and pathways; (ii) the integration of data from systematic genome-wide studies such as proteomics and deletion phenotype screening; (iii) the prediction of novel mitochondrial proteins using data integration and the assignment of evidence scores; and (iv) systematic searches that aim to find the genes that underlie common and rare mitochondrial diseases. The data and analysis files are referenced to data sources in PubMed and other online databases and can be easily downloaded. MitoP2 users can explore the relationship between mitochondrial dysfunctions and disease and utilize this information to conduct systems biology approaches on mitochondria.

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Tags

Disease Protein
Homo sapiens Mus musculus Saccharomyces cerevisiae
mitochondrial protein

Record metadata

  • Created on: 2015-09-10
  • Curated by:
    • Lina Ma [2016-08-24]
    • Lin Liu [2016-03-30]
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