Ce projet de thèse vise à modéliser puis à apporter la preuve de concept d’une thérapie cellulaire et génique autologue de maladies héréditaires du foie par la transplantation d’hépatocytes différenciés à partir des cellules souches pluripotentes induites (iPSC) spécifiques du patient, une fois celles-ci corrigées du défaut génétique. L’hémophilie B (HB) est une maladie héréditaire causée par une mutation du gène F9, codant le facteur IX (FIX) de la coagulation synthétisé dans le foie par les hépatocytes. Des fibroblastes d’un patient porteur de la « mutation royale » ont été reprogrammés en iPSC puis différenciés en hépatocytes. L’étude de l’ARNm du F9 par séquençage haut débit a confirmé la présence d’un site d’épissage anormal codant une protéine tronquée. D’autres iPSC ont été obtenues à partir des cellules d’un second patient HB exprimant un FIX inactif. Après insertion ciblée d’une cassette thérapeutique codant le FIX dans un site génomique sûr à l’aide d’endonucléases artificielles (CRISPR/Cas9), nous avons différencié les iPSC corrigées et non corrigées en hépatocytes (respectivement corr-HB-Heps et HB-Heps) et confirmé une expression plus importante de l’ARNm du F9 et de la protéine FIX dans les corr-HB-Heps. En revanche, nous n’avons pas détecté d’activité du FIX transgénique sans doute à cause d’une différenciation incomplète des hépatocytes. Nous avons alors développé un protocole de différenciation en sphéroïdes permettant une différenciation plus efficace confirmée aux niveaux ARN et protéine FIX. L’analyse de l’activité du FIX produit nous permettra de valider la correction in vitro avant de la valider in vivo en transplantant les corr-HB-Heps dans un modèle de souris F9KO. Finalement, la dernière partie de ce travail a consisté à développer un protocole de différenciation d’iPSC de singe en hépatocytes en vue d’une transplantation autologue dans le foie de l’animal donneur pour valider la faisabilité et la sécurité de cette approche chez le gros animal. / This PhD project aims to model and to bring a proof of concept for autologous cell/gene therapy of inherited liver diseases by transplanting hepatocytes differentiated from patient-specific induced pluripotent stem cells (iPSCs), after correction of the genetic defect. Hemophilia B (HB) is an inherited disease caused by a mutation in the F9 gene encoding clotting factor IX (FIX), synthesized in the liver by hepatocytes. Fibroblasts of a patient with the "royal mutation" were reprogrammed in iPSCs then differentiated into hepatocytes. The study of the F9 mRNA by high-throughput sequencing confirmed the presence of an abnormal splice site leading to a truncated protein explaining hemophilia. Other iPSCs were obtained and characterized from the cells of a second HB patient expressing an inactive FIX. By targeting in these iPSCs the insertion of a therapeutic cassette encoding FIX into a safe harbor site using artificial endonucleases (CRISPR/Cas9), we differentiated the corrected and non-corrected iPSC into hepatocytes. Quantitative analyzes confirmed a higher expression of F9 mRNA and FIX protein in the corrected clones. In contrast, we did not detect transgenic FIX activity due to a lack of post-translational modifications necessary for FIX activity. We then developed a protocol of differentiation in spheroids quantitatively more efficient to produce FIX. Detection of FIX activity will validate our in vitro approach before validation in vivo by transplanting the corrected hepatocytes in a F9KO mouse model. Finally, the last part of this work consisted in the development of a differentiation protocol of nonhuman primate iPSCs into hepatocytes for autologous transplantation into the liver of the donor animal in order to validate the feasibility and the safety of such an approach in the large animal

Duchenne Muscular Dystrophy (DMD) is a disorder caused by loss-of-function mutations in dystrophin, a critical protein that maintains muscle fiber integrity. Our lab discovered that dystrophin-deficient skeletal muscle stem cells, also known as satellite cells, cannot generate enough myogenic progenitors for proper muscle regeneration. Previously, we demonstrated that WNT7A, a protein expressed during muscle regeneration, stimulates symmetric division of satellite cells, and gives rise to two daughter satellite cells. Conversely, epidermal growth factor (EGF) induces asymmetric division, which generates one daughter satellite cell and one committed precursor cell. We aimed to investigate these satellite cell division mechanisms following WNT7A or EGF treatment in a human model using healthy and DMD-patient derived hiPSCs differentiated into the myogenic lineage. The presence of satellite-like cells was confirmed in both lines by their characteristic expression of PAX7 and other myogenic markers. Intriguingly, DMD-patient hiPSCs precociously differentiated compared to healthy control human induced pluripotent stem cells (hiPSCs). More notably, WNT7A treatment had a potent effect on the DMD differentiated cells. High content analysis revealed an expansion of the satellite-like cell pool as observed by a higher number of PAX7+ cells within the total population and gene expression analysis demonstrated a significant increase in global PAX7 expression. In contrast, EGF treatment reduced the number of PAX7+ cells and increased the proportion of MYOG+ cells within the myogenic population, indicating an increase in myogenic progenitors. Taken together, WNT7A and EGF can alter the myogenic differentiation program of healthy and DMD-patient derived hiPSCs by modulating the satellite-like cell division dynamics.

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Development of safe and efficient approaches for gene delivery in human embryonic stem cells (hESc) and particularly in human induced pluripotent stem (hiPS) cells, which can be derived in a person-specific manner, is considered to be imperative for harnessing their full potential in both the basic and applied research. The aim of this study was to evaluate the potential of human artificial chromosome (HAC) for gene delivery and expression in hESc and hiPS cells. HAC offers many potential advantages including the provision for carrying large genes with corresponding regulatory elements to obtain long-term regulated gene expression. In addition, they can replicate and segregate independently without integration into the host cell genome. To develop HAC in hiPS cells, the first part of the study was aimed at generating hiPS cells utilising the Herpes Simplex Virus (HSV)-1 amplicon system. With the use of EBNA-1/OriP retention elements incorporated into the HSV-1 amplicon vectors, hiPS cells completely free of vector and transgenes sequences were successfully derived from human embryonic fibroblasts. The hiPS cells exhibited proliferation and differentiation potential similar to that of hESc. In the second part of the study, development of HAC in hESc and hiPS cells was assessed by utilising the HSV-1 amplicon system to deliver the HAC DNA. Analysis of the hESc confirmed the presence of functional HAC which replicated the behaviour of the host chromosomes. Additionally, HAC generation did not lead to impairment in the developmental potential and pluripotency of hESc. The hiPS cells supported HAC at low frequency but DNA also integrated into the host chromosomes. The HAC system, therefore, needs further refinements to improve the frequency of HAC formation and reduce the chromosomal integration of HAC constructs in hiPS cells. Overall, these findings provide a simple and safe way of pluripotency induction and genetic modification of pluripotent stem cells using the HSV-1 amplicon system and represent an important advance towards patient specific gene and cell therapy.

As doenças cardiovasculares representam a maior causa de mortalidade a nível mundial. Desde o conhecimento da importância da mitocôndria no metabolismo do cardiomiócito, alterações no funcionamento desta organela têm sido associadas a um dos principais causadores do infarto do miocárdio e consequente morte celular. O cofator de transcrição PGC-1alfa tem sido alvo de diversos estudos relacionados com o metabolismo celular devido à sua forte participação na biogênese mitocondrial. Considerando a limitação de material biológico para o estudo de doenças cardíacas, muito se tem investido no estudo de células-tronco pluripotentes induzidas (iPSCs). Esta tese teve como principal objetivo a avaliação dos efeitos da variação da expressão de PGC-1alfa em iPSCs e na sua diferenciação em cardiomiócitos. Após estabelecimento de um protocolo de reprogramação celular, em que ocorre geração de iPSCs a partir de fibroblastos humanos, induzimos a inibição da expressão de PGC-1alfa em 50% e 70% pelo uso de vetores lentivirais, e analisamos o estado de pluripotência através da avaliação de expressão genica e proteica dos principais marcadores - SSEA4, TRA-1-60, OCT4, NANOG, SOX2, REX1, TRA-1-81. Não observamos diferenças significativas no conteúdo destes marcadores entre os clones de iPSC controle e inibidos. Estabelecemos um protocolo de diferenciação de iPSCs em cardiomiócitos com elevada taxa de reprodutibilidade, através da adaptação de protocolos descritos na literatura, e submetemos estas iPSCs à diferenciação. As células geradas pela diferenciação do clone controle apresentaram características típicas de cardiomiócito: contratilidade e alta expressão molecular de troponina T e troponina I. Em contraste, as células com 70% de inibição de PGC-1alfa se mostraram incapazes de contrair e com baixa expressão de troponina. Através de uma análise dos níveis de expressão genica e proteica de diversos marcadores expressos durante o processo de diferenciação (T, NKX2.5, MIXL1, MYL7, ISL1), observamos que o clone com maior inibição de PGC-1alfa apresentou sempre níveis de expressão diminuídos em relação aos clones controle. Em conclusão, podemos afirmar que o PGC-1alfa não interfere com as características de auto-renovação e pluripotência das iPSCs mas possui um papel essencial na diferenciação de células-tronco pluriotentes induzidas em cardiomiócitos. Os resultados obtidos contribuem para informações preliminares acerca do desenvolvimento de iPSCs com inibição da expressão de PGC-1alfa durante a diferenciação cardíaca, mas estudos relativos ao potencial papel deste cofator durante o desenvolvimento cardíaco in vivo ainda precisam ser aprofundados, utilizando outros modelos de estudo / Cardiovascular diseases are the leading cause of mortality worldwide. Since the knowledge of the importance of mitochondria in the cardiomyocyte metabolism, changes in the functioning of this organelle has been associated with one of the main causes of myocardial infarction and subsequent cell death. The transcriptional cofactor PGC-1alpha has been subjected to several studies related to cell metabolism due to its strong involvement in mitochondrial biogenesis. Considering the limitations of biological material in the study of heart disease, there has been a lot of investment in the study of induced pluripotent stem cells (iPSCs). The main objective of this thesis was to evaluate the effects of the variation in expression of PGC-1alpha in iPSCs and it\'s differentiation in cardiomyocytes. After the estabilshment of a cellular reprogramming protocol, where iPSCs is generated from human fibroblasts, the expression of PGC-1alpha was induced by 50% and 70% with the use of lentiviral vectors and the state of pluripotency was determined by analyzing the gene and protein expression of the main markers - SSEA4, TRA- 1-60, OCT4, NANOG, SOX2, REX1, TRA- 1- 81. There were no significant differences observed in the content of these markers between the iPSC clones control and inhibited. A protocol for the differentiation of iPSCs into cardyomyocites was established with a high reproducibility rate, by adapting existing protocols in the general literature, submiting these iPSCs into diferentiation. The cells generated from the differentiation of the control clone showed typical characteristis of cardiomyocytes: contractility and high molecular expression of troponin T and troponin I. In contrast, the cells with 70% inhibition PGC-1alpha were unable to contract and had low troponin expression. Through an analysis of gene expression and protein levels of several markers expressed during the differentiation process (T, Nkx2.5, MIXL1, MYL7, ISL1), the clone with greater inhibition of PGC-1alpha always showed decreased expression levels compared to control clones. In conclusion, we can say that the PGC-1alpha does not interfere with the characteristics of self-renewal and pluripotency of iPSCs but has an essential role in the differentiation of pluripotent stem cells induced into cardiomyocytes. These results were obtained thanks an original approche based on iPSC technology enabling genetic modifications of the cells and controled differentiation into cardiomyocytes, but the potential role of PGC-1alpha on in vivo cardiac development or cardiomyocytes maturation remaisn to be evaluated using other models

Das Verhalten Biologischer Systeme wird durch eine Vielzahl regulatorischer Prozesse beeinflusst, die sich auf verschiedenen Ebenen abspielen. Die Forschung an diesen Regulationen hat stark von den großen Mengen von Hochdurchsatzdaten profitiert, die in den letzten Jahren verfügbar wurden. Um diese Daten zu interpretieren und neue Erkenntnisse aus ihnen zu gewinnen, hat sich die mathematische Modellierung als hilfreich erwiesen. Allerdings müssen die Daten vor der Integration in Modelle aggregiert und analysiert werden. Wir präsentieren vier Studien auf unterschiedlichen zellulären Ebenen und in verschiedenen Organismen. Zusätzlich beschreiben wir zwei Computerprogramme die den Vergleich zwischen Modell und Experimentellen Daten erleichtern. Wir wenden diese Programme in zwei Studien über die MAP Kinase (MAP, engl. mitogen-acticated-protein) Signalwege in Saccharomyces cerevisiae an, um Modellalternativen zu generieren und unsere Vorstellung des Systems an Daten anzupassen. In den zwei verbleibenden Studien nutzen wir bioinformatische Methoden, um Hochdurchsatz-Zeitreihendaten von Protein und mRNA Expression zu analysieren. Um die Daten interpretieren zu können kombinieren wir sie mit Netzwerken und nutzen Annotationen um Module identifizieren, die ihre Expression im Lauf der Zeit ändern. Im Fall der humanen somatischen Zell Reprogrammierung führte diese Analyse zu einem probabilistischen Boolschen Modell des Systems, welches wir nutzen konnten um neue Hypothesen über seine Funktionsweise aufzustellen. Bei der Infektion von Säugerzellen (Canis familiaris) mit dem Influenza A Virus konnten wir neue Verbindungen zwischen dem Virus und seinem Wirt herausfinden und unsere Zeitreihendaten in bestehende Netzwerke einbinden. Zusammenfassend zeigen viele unserer Ergebnisse die Wichtigkeit von Datenintegration in mathematische Modelle, sowie den hohen Grad der Verschaltung zwischen verschiedenen Regulationssystemen. / The behavior of all biological systems is governed by numerous regulatory mechanisms, acting on different levels of time and space. The study of these regulations has greatly benefited from the immense amount of data that has become available from high-throughput experiments in recent years. To interpret this mass of data and gain new knowledge about studied systems, mathematical modeling has proven to be an invaluable method. Nevertheless, before data can be integrated into a model it needs to be aggregated, analyzed, and the most important aspects need to be extracted. We present four Systems Biology studies on different cellular organizational levels and in different organisms. Additionally, we describe two software applications that enable easy comparison of data and model results. We use these in two of our studies on the mitogen-activated-protein (MAP) kinase signaling in Saccharomyces cerevisiae to generate model alternatives and adapt our representation of the system to biological data. In the two remaining studies we apply Bioinformatic methods to analyze two high-throughput time series on proteins and mRNA expression in mammalian cells. We combine the results with network data and use annotations to identify modules and pathways that change in expression over time to be able to interpret the datasets. In case of the human somatic cell reprogramming (SCR) system this analysis leads to the generation of a probabilistic Boolean model which we use to generate new hypotheses about the system. In the last system we examined, the infection of mammalian (Canis familiaris) cells by the influenza A virus, we find new interconnections between host and virus and are able to integrate our data with existing networks. In summary, many of our findings show the importance of data integration into mathematical models and the high degree of connectivity between different levels of regulation.