Indiana University-Purdue University Indianapolis (IUPUI) / Alcohol dehydrogenase (ADH) genes encode proteins that metabolize ethanol to acetaldehyde. Humans have seven ADH genes in a cluster. The hypothesis of this study was that by controlling the levels of ADH enzymes, cis-regulatory regions could affect the risk for alcoholism. The goal was thus to identify distal regulatory regions of ADHs. To achieve this, sequence conservation across 220 kb of the ADH cluster was examined. An enhancer (4E) was identified upstream of ADH4. In HepG2 human hepatoma cells, 4E increased the activity of an ADH4 basal promoter by 50-fold. 4E was cell specific, as no enhancer activity was detected in a human lung cell line, H1299. The enhancer activity was located in a 565 bp region (4E3). Four FOXA and one HNF-1A protein binding sites were shown to be functional in the 4E3 region. To test if this region could affect the risk for alcoholism, the effect of variations in 4E3 on enhancer activity was tested. Two variations had a significant effect on enhancer activity, decreasing the activity to 0.6-fold. A third variation had a small but significant effect. The effect of variations in the ADH1B proximal promoter was also tested. At SNP rs1229982, the C allele had 30% lower activity than the A allele. In addition to studying the regulatory regions of ADH genes, the effects of alcohol on liver-derived cells (HepG2) were also explored. Liver is the primary site of alcohol metabolism, and is highly vulnerable to injuries due to chronic alcohol abuse. To identify the effects of long term ethanol exposure on global gene expression and alternative splicing, HepG2 cells were cultured in 75 mM ethanol for nine days. Global gene expression changes and alternative splicing were measured using Affymetrix GeneChip® Human Exon 1.0 ST Arrays. At the level of gene expression, genes involved in stress response pathways, metabolic pathways (including carbohydrate and lipid metabolism) and chromatin regulation were affected. Alcohol effects were also observed on alternative transcript isoforms of some genes.

Les rapides progrès technologiques en matière de techniques de biologie à grande échelle, comprenant notamment les microarrays, conduisent en 2006 au développement d’une nouvelle génération de puces à très haute résolution, capables de cibler à la fois tous les gènes du transcriptome humain, mais également tous les exons de ces gènes pris individuellement. L’avènement de cette puce, communément appelée puce exon, permit d’obtenir une mesure précise des changements transcriptomiques affectant les cellules cancéreuses, en offrant la possibilité de prendre en compte l’expression relative de différents exons d’un même gène.L’épissage alternatif et la transcription alternative sont les deux principaux mécanismes biologiques à l’origine de l’existence de plusieurs transcrits pour un même gène. Ces processus biologiques ont été mis en évidence depuis longtemps mais leur régulation dans les cellules normales ainsi que leurs dérégulations dans les cancers sont encore mal caractérisées de par la complexité des mécanismes impliqués. Par leur design, les puces exons permettent de mettre en évidence la présence de variations d’expression entre plusieurs transcrits potentiels d’un même gène, ouvrant ainsi la voie à une meilleure compréhension de ces processus biologiques.A partir d’un important jeu de données d’échantillons de cancers de la vessie dont le profil transcriptomique fut obtenu par puces exons, nous nous sommes intéressés à l’étude des changements d’épissage alternatif et à l’utilisation de promoteurs alternatifs dans les tumeurs de vessie. L’utilisation d’outils statistiques et mathématiques dédiés à l’analyse de ces puces nous a permis dans un premier temps d’identifier de nombreux gènes dont l’expression relative des différents transcrits est spécifiquement dérégulée dans les tumeurs de vessie. Ces transcrits constituent une nouvelle source pour l’identification de cibles thérapeutiques spécifiques des tumeurs. Nous avons pu montrer qu’avec une approche ciblée sur les changements d’expression relative de transcrits alternatifs d’un même gène, il était possible de constituer un panel de potentiels marqueurs tumoraux permettant le développement de nouveaux tests urinaires utiles à la détection des cancers de vessie et à la surveillance des patients.Par une analyse non supervisée des profils d’exons potentiellement dérégulés, nous avons pu observer une stratification des tumeurs similaire à celle observée par l’étude des profils géniques issus de puces classiques, confirmant alors l’existence d’un sous groupe de tumeurs de vessie présentant des caractéristiques transcriptomiques propres. Nous avons pu associer à ce sous-groupe de mauvais pronostic, une signature d’inclusion différentielle de certains exons. Cette signature impliquant 19 gènes permet d’identifier précisément ces tumeurs de manière très spécifique et constitue par conséquent un outil puissant utilisable en clinique.L’étude ciblée d’une voie de signalisation fréquemment dérégulée dans les cancers nous a permis de mettre en évidence une dérégulation globale de l’expression relative des transcrits alternatifs de gènes impliqués dans la prolifération cellulaire, et d’en identifier de probables régulateurs. Enfin, L’analyse des données de puces exons à la lumière des données de méthylation de l’ADN nous a permis d’identifier un mécanisme épigénétique régulant l’utilisation de promoteurs alternatifs dans un sous-groupe de tumeurs de vessie.L’ensemble des résultats obtenus par l’analyse de ces puces exons a par conséquent permis de caractériser à l’échelle du transcrit les dérégulations spécifiques des tumeurs de vessie, et d’en identifier certains mécanismes. Ces dérégulations permettent non seulement d’identifier spécifiquement plusieurs sous-groupe de tumeurs dont un de mauvais pronostic, mais offrent également de nouvelles possibilités quant-à la recherche de marqueurs urinaires pour la surveillance des patients. / The development of microarray technology in the late 1990’s served as an essential tool to comprehend the scope of transcriptomic deregulations occurring in cancer cells. Signals generated from the first generation of transcriptomic microarrays gave simultaneous measures of expression from a large number of genes, therefore enabling to identify candidate genes involved in cancer progression and putative therapeutic targets. In 2006, through a fast de- velopment of high-throughput technologies, the available large scale analysis tools became enriched with a new generation of high resolution microarrays measuring expression signals both at the gene-level and at the exon-level of each gene. The advent of this high-resolution microarray, commonly called exon array, provided the opportunity to get a more accurate meas- ure of transcriptomic changes affecting cancer cells by enabling to consider relative expression changes of the exons from a same gene.Alternative splicing and alternative transcription are the two main biological mechanisms accounting for the production of several transcripts from a same gene. Although these bio- logical processes have been known for a long time, their regulation in normal cells and their deregulation in cancer still remain challenging to well-characterize, mainly due to the complex- ity of the involved mechanisms. Through their design, exon arrays enable to identify variable expression patterns within several potential transcripts of a same gene, therefore bringing new insight into these biological processes.Based on a large dataset of bladder cancer samples that were profiled on exon arrays, we focused on the study of alternative splicing changes and alternative promoter usage in bladder tumours. Analysis of these exon arrays through the use of adapted statistical and mathemat- ical tools initially resulted in the identification of numerous genes showing differential relative expression patterns of their transcripts between cancer and normal samples. These transcripts represent a new opportunity to define tumour-specific therapeutic targets. We demonstrated that using an approach targeted on relative expression changes of transcripts from a same gene, it was possible to build up a panel of potential tumour-specific markers enabling the development of new urinary test to detect bladder cancer and monitor its evolution.Through an unsupervised analysis of putatively deregulated exon profiles, we observed that the partitioning of bladder tumours was similar to the classification resulting from the study of classical gene microarray expression profiles, consequently confirming the existence of a bladder subgroup with peculiar transcriptomic properties. For this subgroup of bad prognosis, we established a signature based on the differential alternative inclusion of several exons. This signature relates to 19 genes and enables to accurately identify tumours from this subgroup, therefore providing a powerful tool to be used in clinical practice.By studying a specific pathway often deregulated in cancer, we highlighted an overall dereg- ulation of the relative expression of alternative transcripts from genes involved in cell prolifer- ation, and identified potential actors involved in the underlying regulatory process. Eventually, the analysis of exon arrays in the light of DNA methylation array data enabled us to identify an epigenetic mechanism regulating the use of alternative promoters in a subgroup of bladder tumours.Together, the results obtained from exon array analysis consequently provided a character- ization at the transcript level of bladder tumour specific deregulations and brought insight into the underlying mechanisms. The highlighted deregulations not only allow to accurately identify two subgroups of tumours, of which one has a bad prognosis, but also offer new possibilities regarding the definition of urinary markers for patient monitoring.

The chimpanzee is humankind’s closest living relative and the two species diverged ~6 million years ago. Comparative studies of the human and chimpanzee genomes and transcriptomes are of great interest to understand the molecular mechanisms of speciation and the development of species-specific traits. The aim of this thesis is to characterize differences between the two species with regard to their genome sequences and the resulting transcript profiles. The first two papers focus on indel divergence and in particular, indels causing premature termination codons (PTCs) in 8% of the chimpanzee genes. The density of PTC genes is correlated with both the distance to the telomere and the indel divergence. Many PTC genes have several associated transcripts and since not all are affected by the PTC we propose that PTCs may affect the pattern of expressed isoforms. In the third paper, we investigate the transcriptome divergence in cerebellum, heart and liver, using high-density exon arrays. The results show that gene expression differs more between tissues than between species. Approximately 15% of the genes are differentially expressed between species, and half of the genes show different splicing patterns. We identify 28 cassette exons which are only included in one of the species, often in a tissue-specific manner. In the fourth paper, we use massive parallel sequencing to study the chimpanzee transcriptome in frontal cortex and liver. We estimate gene expression and search for novel transcribed regions (TRs). The majority of TRs are located close to genes and possibly extend the annotations. A subset of TRs are not found in the human genome. The brain transcriptome differs substantially from that of the liver and we identify a subset of genes enriched with TRs in frontal cortex. In conclusion, this thesis provides evidence of extensive genomic and transcriptomic variability between human and chimpanzee. The findings provide a basis for further studies of the underlying differences affecting phenotypic divergence between human and chimpanzee.