MitoMiner v4.0: an updated database of mitochondrial localization evidence, phenotypes and diseases.

TitleMitoMiner v4.0: an updated database of mitochondrial localization evidence, phenotypes and diseases.
Publication TypeJournal Article
Year of Publication2019
AuthorsSmith, AC, Robinson, AJ
JournalNucleic Acids Res
Volume47
IssueD1
PaginationD1225-D1228
Date Published2019 Jan 08
ISSN1362-4962
Abstract

Increasing numbers of diseases are associated with mitochondrial dysfunction. This is unsurprising given mitochondria have major roles in bioenergy generation, signalling, detoxification, apoptosis and biosynthesis. However, fundamental questions of mitochondrial biology remain, including: which nuclear genes encode mitochondrial proteins; how their expression varies with tissue; and which are associated with disease. But experiments to catalogue the mitochondrial proteome are incomplete and sometimes contradictory. This arises because the mitochondrial proteome has tissue- and stage-specific variability, plus differences among experimental techniques and localization evidence types used. This leads to limitations in each technique's coverage and inevitably conflicting results. To support identification of mitochondrial proteins, we developed MitoMiner (http://mitominer.mrc-mbu.cam.ac.uk/), a database combining evidence of mitochondrial localization with information from public resources. Here we report upgrades to MitoMiner, including its re-engineering to be gene-centric to enable easier sharing of evidence among orthologues and support next generation sequencing, plus new data sources, including expression in different tissues, information on phenotypes and diseases of genetic mutations and a new mitochondrial proteome catalogue. MitoMiner is a powerful platform to investigate mitochondrial localization by providing a unique combination of experimental sub-cellular localization datasets, tissue expression, predictions of mitochondrial targeting sequences, gene annotation and links to phenotype and disease.

DOI10.1093/nar/gky1072
Alternate JournalNucleic Acids Res.
Citation Key10.1093/nar/gky1072
PubMed ID30398659
PubMed Central IDPMC6323904
Grant ListMC_U105674181 / / Medical Research Council / United Kingdom