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MitoCarta3.0: an updated mitochondrial proteome now with sub-organelle localization and pathway annotations.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2021 Jan 08; Vol. 49 (D1), pp. D1541-D1547. - Publication Year :
- 2021
-
Abstract
- The mammalian mitochondrial proteome is under dual genomic control, with 99% of proteins encoded by the nuclear genome and 13 originating from the mitochondrial DNA (mtDNA). We previously developed MitoCarta, a catalogue of over 1000 genes encoding the mammalian mitochondrial proteome. This catalogue was compiled using a Bayesian integration of multiple sequence features and experimental datasets, notably protein mass spectrometry of mitochondria isolated from fourteen murine tissues. Here, we introduce MitoCarta3.0. Beginning with the MitoCarta2.0 inventory, we performed manual review to remove 100 genes and introduce 78 additional genes, arriving at an updated inventory of 1136 human genes. We now include manually curated annotations of sub-mitochondrial localization (matrix, inner membrane, intermembrane space, outer membrane) as well as assignment to 149 hierarchical 'MitoPathways' spanning seven broad functional categories relevant to mitochondria. MitoCarta3.0, including sub-mitochondrial localization and MitoPathway annotations, is freely available at http://www.broadinstitute.org/mitocarta and should serve as a continued community resource for mitochondrial biology and medicine.<br /> (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Animals
Bayes Theorem
DNA, Mitochondrial genetics
DNA, Mitochondrial metabolism
Datasets as Topic
Humans
Internet
Machine Learning
Mass Spectrometry
Mice
Mitochondria genetics
Mitochondrial Membranes metabolism
Mitochondrial Proteins classification
Mitochondrial Proteins genetics
Proteome classification
Proteome genetics
Software
Databases, Protein
Mitochondria metabolism
Mitochondrial Proteins metabolism
Molecular Sequence Annotation
Proteome metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 49
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 33174596
- Full Text :
- https://doi.org/10.1093/nar/gkaa1011