Les mutations dans le génome mitochondrial humain sont souvent associées à de graves maladies neuromusculaires. Mon projet de thèse a consisté tout d’abord au développement d’une stratégie thérapeutique basée sur l’import mitochondrial de molécules d’ARN. J’ai pu démontrer que l’expression stable de molécules d’ARN recombinantes dans les cellules humaines permet de diminuer le taux de mutations pathogéniques de l’ADN mitochondrial. Dans une seconde partie, j’ai élaboré une nouvelle méthode, CoLoC-seq, permettant l’identification à grande échelle des ARN localisés dans les mitochondries. En appliquant cette méthode sur des cellules humaines, j’ai pu confirmer l’adressage mitochondrial de certains ARN cytosoliques non-codant et identifier de nouveaux ARN potentiellement importés. Ces données permettront d’élargir les connaissances sur les voies d’adressage mitochondrial des ARN, leurs mécanismes et leur régulation, et d’optimiser les stratégies thérapeutiques basées sur l’import d’ARN. / Mutations in the human mitochondrial genome are often associated with severe neuromuscular disorders. The first part of my thesis project consisted in the development of a therapeutic strategy based on the mitochondrial import of RNA molecules. I demonstrated that the stable expression of recombinant RNA molecules in human cells induced the decrease of the pathogenic mutation load in mitochondrial DNA. In the second part, I developed a nex method, CoLoC-seq, for the large-scale identification of RNA species localized in the mitochondria. By applying this method to human cells, I confirmed the mitochondrial targeting of some non-coding cytosolic RNAs and identified new potentially imported RNAs. These data will broaden the knowledge on the pathway of RNA targeting into the mitochondria, its mechanisms and regulation, and will allow optimization of the therapeutic strategies based on RNA import.

No description available.

Les microARN sont des petits ARN non-codant impliqués dans la régulation de multiples fonctions biologiques dont la réponse immunitaire. L'infection par un pathogène induit un changement transcriptomique fort chez l'hôte. Cependant, la variabilité de ces dérégulations reste encore mal décrite. Cette thèse avait pour principaux objectifs de mieux comprendre la spécificité et la variabilité de la réponse des microARN chez l'homme ainsi que mettre en évidence les bases génétiques de cette diversité en utilisant comme modèle l'infection des cellules dendritiques par Mycobacterium tuberculosis (MTB). Nous avons utilisé une approche ex vivo et des techniques à haut débit dans le but de décrire la réponse des microARN suite à l'infection par MTB dans la population générale, et de la comparer à celle induite par d'autres mycobactéries et bactéries intracellulaires. Nous montons que l'infection modifie profondément l'expression des microARN ainsi que la diversité de leurs isoformes, dont un certain nombre de microARN sont impliqués dans une réponse très conservée. Nos résultats soulignent aussi l'effet de l'infection sur les réseaux de régulation de l'expression des gènes impliquant les microARN et montrent que l'expression de 3% de ces transcrits peut-être corrélée à un marqueur génétique. Grâce à l'intégration de ces différentes analyses, nous proposons certains microARN candidats qui pourraient jouer un rôle dans la variabilité de la réponse immunitaire. L'ensemble de nos résultats constitue la première tentative de compréhension de l'architecture génétique de la réponse des microARN et apporte un nouvel éclairage sur le rôle de ces transcrits dans la réponse antibactérienne. / MicroRNAs (miRNAs) are important epigenetic regulators of gene expression that play a key role in many biological processes, including the immune response. Although infection is accompanied by marked changes in the transcriptional profiles of host cells, little is known about the variability of host miRNA responses to infection. In this thesis, we aimed to define the extent and specificity of pathogen-induced miRNA transcriptional responses of host cells, and to characterise the genetic basis of miRNA variability upon infection, using the model of Mycobacterium tuberculosis (MTB) infection of human dendritic cells. To this end, we have combined ex vivo approaches with a range of high-throughput genomic techniques to profile miRNA responses to MTB at the population-level and to compare this response with other mycobacterial and non-mycobacterial infections. We show that miRNAs display marked changes in expression and in isomiR distribution upon infection that are highly consistent across diverse bacteria, demonstrating the presence of a strong core miRNA response to bacterial infection. Our results highlight the impact of infection on miRNA-mediated gene regulatory networks and show that the expression of 3% of miRNAs are controlled by proximate expression quantitative trait loci (eQTLs) and identify a number of candidate miRNAs that may play a role in variability in the immune response to infection. Together, these results provide the first assessment of the impact of genotype-environment interactions on the regulation of miRNA expression, as well as offering novel insights into the specificity of these miRNAs in the response to mycobacterial infections.

Single-cell RNA sequencing and in situ sequencing were combined in a recent study of the developing human heart to explore the transcriptional landscape at three developmental stages. However, the method used in the study to create the spatial cellular maps has some limitations. It relies on image segmentation of the nuclei and cell types defined in advance by single-cell sequencing. In this study, we applied a new unsupervised approach based on graph neural networks on the in situ sequencing data of the human heart to find spatial gene expression patterns and detect novel cell and sub-cell types. In this thesis, we first introduce some relevant background knowledge about the sequencing techniques that generate our data, machine learning in single-cell analysis, and deep learning on graphs. We have explored several graph neural network models and algorithms to learn embeddings for spatial gene expression. Dimensionality reduction and cluster analysis were performed on the embeddings for visualization and identification of biologically functional domains. Based on the cluster gene expression profiles, locations of the clusters in the heart sections, and comparison with cell types defined in the previous study, the results of our experiments demonstrate that graph neural networks can learn meaningful representations of spatial gene expression in the human heart. We hope further validations of our clustering results could give new insights into cell development and differentiation processes of the human heart.

京都大学 / 新制・課程博士 / 博士(医学) / 甲第23082号 / 医博第4709号 / 新制||医||1049(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 長船 健二, 教授 妹尾 浩, 教授 村川 泰裕 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

京都大学 / 新制・課程博士 / 博士(医学) / 甲第23382号 / 医博第4751号 / 新制||医||1052(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 伊藤 貴浩, 教授 滝田 順子, 教授 江藤 浩之 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

The definitive endoderm gives rise to several specialized organs, including the thymus. Improper development of the definite endoderm or its derivatives can lead to human disease; in the case of the thymus, immunodeficiency or autoimmune disorders. Human pluripotent stem cells (hPSCs) have emerged as a system to model human development, as study of their differentiation allows for elucidation of the molecular basis of cell fate decisions, under both healthy and impaired conditions. Here, we first developed a CRISPR-effector system to control endogenous gene expression in hPSCs, a novel approach to manipulating hPSC state. Next, the human-specific, loss-of-function phenotypes of candidate transcription factors driving hPSC-to-definitive endoderm differentiation were analyzed through combined CRISPR-perturbation and single-cell RNA-sequencing. This analysis revealed the importance of TGFβ mediators in human definitive endoderm differentiation as well as identified an unappreciated role for FOXA2 in human foregut development. Finally, as the differentiation of definitive endoderm to thymic epithelial progenitors (TEPs) is of particular interest, a single-cell transcriptomic atlas of murine thymus development was generated in anticipation of identifying factors driving later stages of TEP differentiation. Taken together, this dissertation establishes a CRISPR-effector system to interrogate gene and regulatory element function in hPSC differentiation strategies, details the role of specific transcription factors in human endoderm differentiation, and sets the groundwork for future investigations to characterize hPSC-derived TEPs and the factors driving their differentiation.

No description available.

Hlavním cílem této diplomové práce je analýza diferenciální exprese genů na základě negativního binomického modelu. Úvodní část je věnována teoretickému základu, pojednává o sekvenování RNA, sekvenování nové generace, výhodách a možném využití, formátu fastQ aj. Následující část už se zabývá samotnou praktickou částí, zde byl vybrán vhodný set genů, které budou později analyzovány a příslušná data byla stažena. Tato data byla zarovnána k lidskému genomu verze 37 Burrowsovou-Wheelerovou transformací s využitím bowtie mapovače, byly tak vytvořeny soubory ve formátu SAM. Toto soubory dat byly později setříděny pomocí nástroje SAMtools. Následně byly v programovém prostředí Matlab (verze R2013b) vytvořeny anotované objekty genů s využitím služby Ensembl´s BioMart. Dále byla určena genová exprese a byly odhadnuty faktory velikosti knihovny. Na závěr byly odhadnuty parametry negativního binomického rozložení a byla vyhodnocena diferenciální exprese genů.

Indiana University-Purdue University Indianapolis (IUPUI) / RNA Polymerase II (RNAPII) is responsible for transcription of messenger RNA (mRNA) and many small non-coding RNAs. Progression through the RNAPII transcription cycle is orchestrated by combinatorial posttranslational modifications of the C-terminal domain (CTD) of the largest subunit of RNAPII, Rpb1, consisting of the repetitive sequence (Y1S2P3T4S5P6S7)n. Disruptions of proteins that control CTD phosphorylation, including the phosphatase Rtr1, cause defects in gene expression and transcription termination. There are two described RNAPII termination mechanisms. Most mRNAs are terminated by the polyadenylation-dependent cleavage and polyadenylation complex. Most short noncoding RNAs are terminated by the Nrd1 complex. Nrd1-dependent termination is coupled to RNA 3' end processing and/or degradation by Rrp6, a nuclear specific subunit of the exosome. The Rrp6-containing form a 3'-5' exonuclease complex that regulates diverse aspects of nuclear RNA biology including 3' end processing and degradation of a variety of noncoding RNAs (ncRNAs). It remains unclear whether Rrp6 is directly involved in termination. We discovered that deletion of RRP6 promotes extension of multiple Nrd1-dependent transcripts resulting from improperly processed 3' RNA ends and faulty transcript termination at specific target genes. Defects in RNAPII termination cause transcriptome-wide changes in mRNA expression through transcription interference and/or antisense repression, similar to previously reported effects of Nrd1 depletion from the nucleus. Our data indicate Rrp6 acts with Nrd1 globally to promote transcription termination in addition to RNA processing and/or degradation. Furthermore, we found that deletion of the CTD phosphatase Rtr1 shortens the distance of transcription before Nrd1-dependent termination of specific regulatory antisense transcripts (ASTs), increases Nrd1 occupancy at these sites, and increases the interaction between Nrd1 and RNAPII. The RTR1/RRP6 double deletion phenocopies an RRP6 deletion, indicating that the regulation of ASTs by Rtr1 requires Rrp6 activity and the Nrd1 termination pathway.