<p>Next generation sequencing technologies have provided us with a wealth of data profiling a diverse range of biological processes. In an effort to better understand the process of gene regulation, two predictive machine learning models specifically tailored for analyzing gene transcription and polyadenylation are presented.</p><p>Transcriptional enhancers are specific DNA sequences that act as ``information integration hubs" to confer regulatory requirements on a given cell. These non-coding DNA sequences can regulate genes from long distances, or across chromosomes, and their relationships with their target genes are not limited to one-to-one. With thousands of putative enhancers and less than 14,000 protein-coding genes, detecting enhancer-gene pairs becomes a very complex machine learning and data analysis challenge. </p><p>In order to predict these specific-sequences and link them to genes they regulate, we developed McEnhancer. Using DNAseI sensitivity data and annotated in-situ hybridization gene expression clusters, McEnhancer builds interpolated Markov models to learn enriched sequence content of known enhancer-gene pairs and predicts unknown interactions in a semi-supervised learning algorithm. Classification of predicted relationships were 73-98% accurate for gene sets with varying levels of initial known examples. Predicted interactions showed a great overlap when compared to Hi-C identified interactions. Enrichment of known functionally related TF binding motifs, enhancer-associated histone modification marks, along with corresponding developmental time point was highly evident.</p><p>On the other hand, pre-mRNA cleavage and polyadenylation is an essential step for 3'-end maturation and subsequent stability and degradation of mRNAs. This process is highly controlled by cis-regulatory elements surrounding the cleavage site (polyA site), which are frequently constrained by sequence content and position. More than 50\% of human transcripts have multiple functional polyA sites, and the specific use of alternative polyA sites (APA) results in isoforms with variable 3'-UTRs, thus potentially affecting gene regulation. Elucidating the regulatory mechanisms underlying differential polyA preferences in multiple cell types has been hindered by the lack of appropriate tests for determining APAs with significant differences across multiple libraries. </p><p>We specified a linear effects regression model to identify tissue-specific biases indicating regulated APA; the significance of differences between tissue types was assessed by an appropriately designed permutation test. This combination allowed us to identify highly specific subsets of APA events in the individual tissue types. Predictive kernel-based SVM models successfully classified constitutive polyA sites from a biologically relevant background (auROC = 99.6%), as well as tissue-specific regulated sets from each other. The main cis-regulatory elements described for polyadenylation were found to be a strong, and highly informative, hallmark for constitutive sites only. Tissue-specific regulated sites were found to contain other regulatory motifs, with the canonical PAS signal being nearly absent at brain-specific sites. We applied this model on SRp20 data, an RNA binding protein that might be involved in oncogene activation and obtained interesting insights. </p><p>Together, these two models contribute to the understanding of enhancers and the key role they play in regulating tissue-specific expression patterns during development, as well as provide a better understanding of the diversity of post-transcriptional gene regulation in multiple tissue types.</p> / Dissertation

Le locus des chaînes lourdes d’immunoglobulines (IgH) subit trois processus de remaniements géniques durant la lymphopoïèse B. Ces événements induisent des cassures de l’ADN potentiellement oncogéniques, d’où la nécessité d’une régulation extrêmement stricte. Ceci est dû aux deux principaux éléments cis-régulateurs du locus IgH. L’enhancer 5’Eµ régule les recombinaisons VHDJH qui établissent un répertoire antigénique fonctionnel lors des phases précoces. La région régulatrice en 3’ (3’RR) est essentielle aux hypermutations somatiques (SHM) et à la recombinaison de classe (CSR) aux stades tardifs, modifiant respectivement, l’affinité et les fonctions effectrices de l’Ig. La plupart des lymphomes B matures portent les stigmates de translocations d’oncogènes au locus IgH. Le but de ma thèse a été de mieux comprendre les interactions transcriptionelles entre les enhancers Eµ et 3’RR et évaluer si le ciblage de cette dernière pourrait se révéler une approche thérapeutique potentielle. Nous avons démontré que la 3’RR est l’élément essentiel qui contrôle la transcription du locus IgH dans les lymphocytes B matures. Elle est dispensable lors des phases initiales (recombinaisons VHDJH), mais agit comme silencer sur l’expression des segments DJH. L’analyse de la lymphomagenèse dans trois modèles murins porteurs d’une insertion de Myc en trois points du locus IgH a montré des différences dans les cinétiques d’émergence des lymphomes, leurs phénotypes et index de prolifération. L’effet de la 3’RR sur l’oncogène est suffisant pour l’émergence de lymphomes B. Son absence ne semble pas être préjudiciable au développement de réactions inflammatoires/immunes. Son ciblage pourrait donc se révéler une approche thérapeutique intéressante pour diminuer son activité transcriptionelle sur l’oncogène transloqué. Un rôle potentiel des inhibiteurs des histones désacétylases est à l’étude. / The immunoglobulin heavy chain locus (IgH) undergoes several changes along B-cell differentiation. VHDJH recombinations during the early stages give the diversity of the antigenic repertoire. Somatic hypermutation (SHM) and class switch recombination (CSR) during late stages allow affinity maturation and the acquisition of new effectors functions. These rearrangements are highly regulated and are under the control of the IgH locus cis-regulatory elements. The 5’ Eµ enhancer is important for VHDJH recombination. The 3’ regulatory region (3’ RR) is essential for both CSR and SHM. These events induce breaks into the IgH locus, making it a hotspot for oncogenic translocations. The aim of my thesis was to understand the transcriptional interactions between Eμ and 3'RR enhancers and to evaluate whether the targeting of the latter could be of a potential therapeutic approach. We have demonstrated that 3'RR is essential to control IgH transcription in mature B cells. It is dispensable during the initial stages of developement (VHDJH recombinations). At the pro-B cell stage, it has a silencer effect rather than a transcriptional one on the DJH segments expression. The analysis of lymphomagenesis in three mice models carrying an insertion of Myc in different locations at the IgH locus showed significant differences in lymphoma kinetics, phenotypes and proliferation index. 3'RR alone, as a major transcriptional activator of the IgH locus, is capable of leading to B-cell lymphomas. Its absence is not detrimental for the development of classical inflammatory/immune reactions. Its targeting may be of a potentially interesting therapeutic approach to decrease its transcriptional activity on the translocated oncogene. A potential role for histone deacetylase inhibitors is under study.