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dc.contributor.authorSmith, Anthony
dc.contributor.authorRobinson, Alan
dc.date.accessioned2018-12-07T00:31:17Z
dc.date.available2018-12-07T00:31:17Z
dc.date.issued2019-01-08
dc.identifier.issn0305-1048
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/286405
dc.description.abstractIncreasing 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.
dc.format.mediumPrint
dc.languageeng
dc.publisherOxford University Press (OUP)
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectMitochondria
dc.subjectHumans
dc.subjectMitochondrial Diseases
dc.subjectMitochondrial Proteins
dc.subjectProteome
dc.subjectProteomics
dc.subjectComputational Biology
dc.subjectPhenotype
dc.subjectInternet
dc.subjectDatabases, Factual
dc.subjectHigh-Throughput Nucleotide Sequencing
dc.subjectData Management
dc.titleMitoMiner v4.0: an updated database of mitochondrial localization evidence, phenotypes and diseases.
dc.typeArticle
prism.endingPageD1228
prism.issueIdentifierD1
prism.publicationDate2019
prism.publicationNameNucleic Acids Res
prism.startingPageD1225
prism.volume47
dc.identifier.doi10.17863/CAM.33716
dcterms.dateAccepted2018-10-19
rioxxterms.versionofrecord10.1093/nar/gky1072
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-01
dc.contributor.orcidSmith, Anthony [0000-0003-0141-0434]
dc.contributor.orcidRobinson, Alan [0000-0001-9943-0059]
dc.identifier.eissn1362-4962
rioxxterms.typeJournal Article/Review
pubs.funder-project-idMedical Research Council (MC_U105674181)
cam.issuedOnline2018-11-06


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial 4.0 International