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Theses

Étude de la régulation anti-sens par l’analyse différentielle de données transcriptomiques dans le domaine végétal

Abstract : A challenging task in bioinformatics is to decipher cell regulation mechanisms. The objective of this thesis is to study gene networks from apple data with the particularity to integrate anti-sense transcription data. Anti-sense transcripts are mostly non coding RNAs and their different roles in the cell are still not well known. In our study, to explore the role of anti-sense transcripts, we first propose a differential functional analysis that highlights the interest of integrating anti-sense data into a transcriptomic analysis. Then, regarding gene networks, we propose to focus on inference of a core network and we introduce a new differential analysis method that allows to compare a sense network with a sense and anti-sense network. We thus introduce the notion of AS-impacted genes, that allows to identify genes that are highly co-expressed with anti-sense transcripts. We analysed apple data related to ripening of fruits stored in cold storage; biological interpretation of the results of our differential analysisprovides some promising leads to a more targeted experimental study of genes or pathways, which role could be underestimated without integration of anti-sense data.
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Marc Legeay. Étude de la régulation anti-sens par l’analyse différentielle de données transcriptomiques dans le domaine végétal. Analyse numérique [cs.NA]. Université d'Angers, 2017. Français. ⟨NNT : 2017ANGE0021⟩. ⟨tel-01785082⟩

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