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Analyse de données transcriptome et protéome pour l'étude des réponses aux stress oxydants et aux métaux lourds

Abstract : This work aims at studying responses to oxidative stress and heavy metals through transcriptomic and proteomic data analysis, in particular in the cyanobacterium Synechocystis . This organism is a prokaryote largely studied which notably enables to improve the understanding of plants and is easy to manipulate genetically. The approach first involved analysing the transcriptional responses of Synechocystis' genes in stress conditions, particularly in the presence of cadmium or hydrogen peroxide. Methods to predict protein-protein interactions were then developed in order to construct an interaction network. This network was compared to an experimental network in terms of structure. It was then complemented with transcriptomic data previously analysed in order to obtain a more integrated view of the different phenomena and to study the dynamics of functional modules. The results show different phases in the transcriptional responses as well as functional groups of interacting and co-expressed proteins. In addition, the automation of a mixed hierarchical-pyramidal classification method is proposed. A method to identify composition biases between groups of proteins was also developed. Furthermore, a protein-protein interaction prediction tool was developed, of use for all sequenced species. This open-source software, InteroPorc, has been made available and has the great advantage of being flexible since it can be applied to different source interactions. Furthermore this tool can be easily run online through a web interface (http ://biodev.extra.cea.fr/interoporc/).
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https://tel.archives-ouvertes.fr/tel-00362822
Contributor : Celine Lentz <>
Submitted on : Thursday, February 19, 2009 - 2:19:09 PM
Last modification on : Monday, February 10, 2020 - 6:12:52 PM
Long-term archiving on: : Saturday, November 26, 2016 - 5:52:20 AM

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  • HAL Id : tel-00362822, version 1

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Magali Michaut. Analyse de données transcriptome et protéome pour l'étude des réponses aux stress oxydants et aux métaux lourds. Sciences du Vivant [q-bio]. Université Paris Sud - Paris XI, 2008. Français. ⟨tel-00362822⟩

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