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Elstner, M. ; Andreoli, C.* ; Klopstock, T.* ; Meitinger, T. ; Prokisch, H.

The mitochondrial proteome database: MitoP2.

Methods Enzymol. 457, 3-20 (2009)
DOI PMC
Defining the mitochondrial proteome is a prerequisite for fully understanding the organelles function as well as mechanisms underlying mitochondrial pathology. The core functions of mitochondria include oxidative phosphorylation, amino acid metabolism, fatty acid oxidation, and ion homeostasis. In addition to these well-known functions, many crucial properties in cell signaling, cell differentiation and cell death are only now being elucidated, and with them the proteins involved. With the wealth of information arriving from single protein studies and sophisticated genome-wide approaches, MitoP2 was designed and is maintained to consolidate knowledge on mitochondrial proteins in one comprehensive database, thus making all pertinent data readily accessible (http://www.mitop2.de). Although the identification of the human mitochondrial proteome is ultimately the prime objective, integration of other species includes Saccharomyces cerevisiae, mouse, Arabidopsis thaliana, and Neurospora crassa so orthology between these species can be interrogated. Data from genome-wide studies can be individually retrieved and are also processed by a support vector machine (SVM) to generate a score that indicates the likelihood of a candidate protein having a mitochondrial location. Manually validated proteins constitute the reference set of the database that contains over 590 yeast, 920 human, and 1020 mouse entries, and that is used for benchmarking the SVM score. Multiple search options allow for the interrogation of the reference set, candidates, disease related proteins, chromosome locations as well as availability of mouse models. Taken together, MitoP2 is a valuable tool for basic scientists, geneticists, and clinicians who are investigating mitochondrial physiology and dysfunction.
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Publication type Article: Journal article
Document type Review
Editors Allison, W.S.* ; Murphy, A.N.*
Corresponding Author
Keywords Bioinformatics; In silico prediction; Mitochondrial database; Mitochondrial localization; Mitochondrial proteome; MitoP2; Proteomics
ISSN (print) / ISBN 0076-6879
e-ISSN 0076-6879
Journal Methods in Enzymology
Quellenangaben Volume: 457, Issue: B, Pages: 3-20 Article Number: , Supplement: ,
Publisher Elsevier
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Human Genetics (IHG)