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MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis

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 mitoch...

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Detalles Bibliográficos
Autores principales: Gelly, Jean-Christophe, Orgeur, Mickael, Jacq, Claude, Lelandais, Gaëlle
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013754/
https://www.ncbi.nlm.nih.gov/pubmed/20833631
http://dx.doi.org/10.1093/nar/gkq781
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author Gelly, Jean-Christophe
Orgeur, Mickael
Jacq, Claude
Lelandais, Gaëlle
author_facet Gelly, Jean-Christophe
Orgeur, Mickael
Jacq, Claude
Lelandais, Gaëlle
author_sort Gelly, Jean-Christophe
collection PubMed
description 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/.
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spelling pubmed-30137542011-01-03 MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis Gelly, Jean-Christophe Orgeur, Mickael Jacq, Claude Lelandais, Gaëlle Nucleic Acids Res Articles 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/. Oxford University Press 2011-01 2010-09-09 /pmc/articles/PMC3013754/ /pubmed/20833631 http://dx.doi.org/10.1093/nar/gkq781 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Gelly, Jean-Christophe
Orgeur, Mickael
Jacq, Claude
Lelandais, Gaëlle
MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title_full MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title_fullStr MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title_full_unstemmed MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title_short MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
title_sort mitogenesisdb: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013754/
https://www.ncbi.nlm.nih.gov/pubmed/20833631
http://dx.doi.org/10.1093/nar/gkq781
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