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MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2011 Jan; Vol. 39 (Database issue), pp. D1079-84. Date of Electronic Publication: 2010 Sep 09. - Publication Year :
- 2011
-
Abstract
- Mitochondria constitute complex and flexible cellular entities, which play crucial roles in normal and pathological cell conditions. The database MitoGenesisDB focuses on the dynamic of mitochondrial protein formation through global mRNA analyses. Three main parameters confer a global view of mitochondrial biogenesis: (i) time-course of mRNA production in highly synchronized yeast cell cultures, (ii) microarray analyses of mRNA localization that define translation sites and (iii) mRNA transcription rate and stability which characterize genes that are more dependent on post-transcriptional regulation processes. MitoGenesisDB integrates and establishes cross-comparisons between these data. Several model organisms can be analyzed via orthologous relationships between interspecies genes. More generally this database supports the 'post-transcriptional operon' model, which postulates that eukaryotes co-regulate related mRNAs based on their functional organization in ribonucleoprotein complexes. MitoGenesisDB allows identifying such groups of post-trancriptionally regulated genes and is thus a useful tool to analyze the complex relationships between transcriptional and post-transcriptional regulation processes. The case of respiratory chain assembly factors illustrates this point. The MitoGenesisDB interface is available at http://www.dsimb.inserm.fr/dsimb_tools/mitgene/.
- Subjects :
- Data Mining
Electron Transport
Genes, Mitochondrial
Mitochondria metabolism
Mitochondrial Proteins metabolism
Protein Biosynthesis
RNA Stability
RNA, Messenger analysis
RNA, Messenger metabolism
Saccharomyces cerevisiae genetics
Saccharomyces cerevisiae metabolism
Saccharomyces cerevisiae Proteins metabolism
Software
Transcription, Genetic
Databases, Protein
Mitochondria genetics
Mitochondrial Proteins genetics
Saccharomyces cerevisiae Proteins genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 39
- Issue :
- Database issue
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 20833631
- Full Text :
- https://doi.org/10.1093/nar/gkq781