Os microRNAs (miRs) desempenham um papel importante na biologia das células-tronco por meio da interação com seus mRNAs alvos, induzindo inibição da tradução e/ou degradação destes transcritos. Durante a diferenciação de células pluripotentes, os miRs podem ser induzidos ou reprimidos, no entanto, suas funções específicas são amplamente inexploradas. Nós investigamos os papéis funcionais de um conjunto selecionado de miRs na pluripotência e diferenciação celular, usando microscopia de fluorescência quantitativa (High Content Analysis). Para isso, foram empregadas a NTera-2 (células de carcinoma embrionário humano, CCE) e a H1 (células-tronco embrionárias humanas, CTEh) como modelos. Essas células foram transfectadas reversamente com trinta moléculas de miRs distintas (individualmente) ou moléculas controles. Após 3-4 dias de cultura, as células foram fixadas, permeabilizadas e coradas com Hoechst / CellMask Blue (núcleo/citoplasma), anti-OCT4, anti-Ciclina B1 e imageadas com um sistema ImageXpress Micro HCA. O CellProfiler foi utilizado para quantificar vários parâmetros morfométricos e medidas de intensidade de OCT4 e Ciclina B1 em compartimentos nucleares e citoplasmáticos. Esses dados foram usados para gerar perfis fenotípicos multiparamétricos específicos de cada miR (usando KNIME) e o agrupamento desses dados levou à identificação de vias e processos envolvidos na indução de características de pluripotência ou diferenciação celular causadas por miRs com efeitos fenotípicos similares. Como exemplo, as vias de PI3K-AKT, WNT, TGF? e DICER foram encontradas como moduladas por alguns clusters fenotípicos e os transcritos de alguns alvos foram avaliados por qPCR para validar os achados. Parte do trabalho foi focada na regulação da via Notch por miRNAs em células pluripotentes, o que levou à observação de que o miR- 363-3p inibe a sinalização de Notch e promove pluripotência nessas células. A transfecção de miR-363-3p não apenas elevou as características de pluripotência em NTera-2 e H1, mas também protegeu as CCE da diferenciação induzida por cocultivo com OP9 expressando DLL1 e causou a diminuição no nível de transcritos de PSEN1. Em conclusão, o ensaio desenvolvido aqui provou ser uma ferramenta robusta na detecção de mecanismos moleculares, baseando-se na combinação de análises fenotípicas funcionais e bioinformáticas. / microRNAs (miRs) play an important role in stem cell\'s biology by binding to target mRNAs transcripts, inducing translation blockage and/or transcripts degradation. Upon differentiation of pluripotent cells, miRNAs can be induced or repressed, however, their specific roles are largely unexplored. We investigated the functional roles of a selected set of miRs in pluripotency and differentiation, using quantitative automated fluorescence microscopy (High Content Analysis). For this, we used NTera-2 (human embryonal carcinoma cells, ECC) and H1 (embryonic stem cells; ESC) as models. These cells were reverse-transfected with thirty distinct miRs mimics (individually) or control molecules. Following 3-4 days of culture, cells were fixed, permeabilized and stained with Hoechst/CellMask Blue (nucleus/cytoplasm), antiOCT4, anti-Cyclin B1 and imaged using an ImageXpress Micro HCA System. CellProfiler was used to quantify several morphometric parameters and intensity measurements of OCT4 and CYCB1 in nuclear and cytoplasmic compartments. Quantified parameters were used to generate miR-specific multiparametric phenotypic profiles (using KNIME) and clustering these data led to identification of pathways and processes involved in the induction of pluripotency or cell diferention features caused by miRs with similar phenotypic effects. As an example, PI3K-AKT, WNT, TGF? and DICER pathways were found to be regulated by some phenotypic clusters and transcripts level of some of miR targets were evaluated by qPCR to validate de findings. Part of the work was focused in the regulation of Notch pathway by miRNAs in pluripotent cells, which led the observation that miR-363-3p inhibits Notch signaling and promotes pluripotency feature, as the transfection with miR-363-3p mimic not only enhanced pluripotent phenotype in NTera-2 and H1, but also protected de ECCs from differentiation induced by coculture with OP9 expressing DLL1 and decreased PSEN1 transcripts level.In conclusion, The assay developed here proved to be a robust tool in the detection of molecular mechanisms based on combined functional phenotypic and bioinformatic analyzes.

Os microRNAs (miRs) desempenham um papel importante na biologia das células-tronco por meio da interação com seus mRNAs alvos, induzindo inibição da tradução e/ou degradação destes transcritos. Durante a diferenciação de células pluripotentes, os miRs podem ser induzidos ou reprimidos, no entanto, suas funções específicas são amplamente inexploradas. Nós investigamos os papéis funcionais de um conjunto selecionado de miRs na pluripotência e diferenciação celular, usando microscopia de fluorescência quantitativa (High Content Analysis). Para isso, foram empregadas a NTera-2 (células de carcinoma embrionário humano, CCE) e a H1 (células-tronco embrionárias humanas, CTEh) como modelos. Essas células foram transfectadas reversamente com trinta moléculas de miRs distintas (individualmente) ou moléculas controles. Após 3-4 dias de cultura, as células foram fixadas, permeabilizadas e coradas com Hoechst / CellMask Blue (núcleo/citoplasma), anti-OCT4, anti-Ciclina B1 e imageadas com um sistema ImageXpress Micro HCA. O CellProfiler foi utilizado para quantificar vários parâmetros morfométricos e medidas de intensidade de OCT4 e Ciclina B1 em compartimentos nucleares e citoplasmáticos. Esses dados foram usados para gerar perfis fenotípicos multiparamétricos específicos de cada miR (usando KNIME) e o agrupamento desses dados levou à identificação de vias e processos envolvidos na indução de características de pluripotência ou diferenciação celular causadas por miRs com efeitos fenotípicos similares. Como exemplo, as vias de PI3K-AKT, WNT, TGF? e DICER foram encontradas como moduladas por alguns clusters fenotípicos e os transcritos de alguns alvos foram avaliados por qPCR para validar os achados. Parte do trabalho foi focada na regulação da via Notch por miRNAs em células pluripotentes, o que levou à observação de que o miR- 363-3p inibe a sinalização de Notch e promove pluripotência nessas células. A transfecção de miR-363-3p não apenas elevou as características de pluripotência em NTera-2 e H1, mas também protegeu as CCE da diferenciação induzida por cocultivo com OP9 expressando DLL1 e causou a diminuição no nível de transcritos de PSEN1. Em conclusão, o ensaio desenvolvido aqui provou ser uma ferramenta robusta na detecção de mecanismos moleculares, baseando-se na combinação de análises fenotípicas funcionais e bioinformáticas. / microRNAs (miRs) play an important role in stem cell\'s biology by binding to target mRNAs transcripts, inducing translation blockage and/or transcripts degradation. Upon differentiation of pluripotent cells, miRNAs can be induced or repressed, however, their specific roles are largely unexplored. We investigated the functional roles of a selected set of miRs in pluripotency and differentiation, using quantitative automated fluorescence microscopy (High Content Analysis). For this, we used NTera-2 (human embryonal carcinoma cells, ECC) and H1 (embryonic stem cells; ESC) as models. These cells were reverse-transfected with thirty distinct miRs mimics (individually) or control molecules. Following 3-4 days of culture, cells were fixed, permeabilized and stained with Hoechst/CellMask Blue (nucleus/cytoplasm), antiOCT4, anti-Cyclin B1 and imaged using an ImageXpress Micro HCA System. CellProfiler was used to quantify several morphometric parameters and intensity measurements of OCT4 and CYCB1 in nuclear and cytoplasmic compartments. Quantified parameters were used to generate miR-specific multiparametric phenotypic profiles (using KNIME) and clustering these data led to identification of pathways and processes involved in the induction of pluripotency or cell diferention features caused by miRs with similar phenotypic effects. As an example, PI3K-AKT, WNT, TGF? and DICER pathways were found to be regulated by some phenotypic clusters and transcripts level of some of miR targets were evaluated by qPCR to validate de findings. Part of the work was focused in the regulation of Notch pathway by miRNAs in pluripotent cells, which led the observation that miR-363-3p inhibits Notch signaling and promotes pluripotency feature, as the transfection with miR-363-3p mimic not only enhanced pluripotent phenotype in NTera-2 and H1, but also protected de ECCs from differentiation induced by coculture with OP9 expressing DLL1 and decreased PSEN1 transcripts level.In conclusion, The assay developed here proved to be a robust tool in the detection of molecular mechanisms based on combined functional phenotypic and bioinformatic analyzes.

Endocytosis is an essential cellular process consisting of the internalization of extracellular cargo and its transport towards different intracellular destinations. Multiple endocytic routes are tailored for the internalization and trafficking of different types of cargo and multiple endocytic organelles provide specialized biochemical environments where different molecular events take place. Membrane receptors and cargo molecules are internalized by both Clathrin-dependent and –independent endocytosis into early endosomes. From here two main endocytic routes are followed: 1) the recycling route, mainly followed by membrane receptor and other molecules like Transferrin, brings the cargo back to the plasma membrane and 2) the degradative route, followed by molecules like Epidermal Growth Factor (EGF) and Lipoprotein particles (LDL), leads the cargo to degradation into late endosomes/lysosomes. In addition to the basic function of intracellular cargo transport, the endocytic system fulfils many other cellular and developmental functions such as transmission of proliferative and survival signals and defence against pathogens. In order for cells to properly perform their various and numerous functions in organs and tissues, the activity of the endocytic system needs to be coordinated between cells and, within individual cells, integrated with other cellular functions. Even though molecules orchestrating the endocytic sorting and transport of different types of cargo have long been investigated, our understanding of the molecular machinery underlying endocytosis and its coordination into the cellular systems remains fragmentary. The work presented in this thesis aimed at understanding how this high-order regulation and integration is achieved. This requires not only a comprehensive analysis of molecular constituents of the endocytic system but also an understanding of the general design principles underlying its function. To this end, in collaboration with several members of the Zerial group and with the HT-Technology Development Studio (TDS) at MPI-CBG, I developed a new strategy to accurately profile the activity of human genes with respect to Transferrin (Tfn) and Epidermal Growth Factor (EGF) endocytosis by combining genome-wide RNAi with several siRNA/esiRNA per gene, automated high-resolution confocal microscopy, quantitative multi-parametric image analysis and high-performance computing. This provided a rich and complex genomic dataset that was subsequently subjected to analysis with a combination of tools such as a multi-parametric correlation of oligo profiles, phenotypic clustering and pathways analysis, and a Bayesian network reconstruction of key endocytic features. Altogether, the genomic endeavour and the subsequent analyses provided a number of important results: first, they revealed a much higher extent of off-target effects from RNAi and provided novel tools to infer the specific effects of genes loss of function; second, they identified a large number of novel molecules exerting a regulatory role on the endocytic system, including uncharacterized genes and genes implicated in human diseases; third, they uncovered the regulatory activity of signalling pathways such as Wnt, Integrin, TGF-β, and Notch, and found new genes regulating the sorting of cargo to a specialized subset of early endosomes that function as intracellular signalling platforms; and fourth, a systems analysis by Bayesian networks revealed that the cell specifically regulates the number, size, concentration of cargo and intracellular position of endosomes, thus uncovering novel properties of the endocytic system. In conclusion, the work presented here not only provided a dataset extremely rich of information whose potential has just begun to be uncovered but also shows how genomic datasets can be used to reveal design principles governing the functioning of biological processes.

Endocytosis is an essential cellular process consisting of the internalization of extracellular cargo and its transport towards different intracellular destinations. Multiple endocytic routes are tailored for the internalization and trafficking of different types of cargo and multiple endocytic organelles provide specialized biochemical environments where different molecular events take place. Membrane receptors and cargo molecules are internalized by both Clathrin-dependent and –independent endocytosis into early endosomes. From here two main endocytic routes are followed: 1) the recycling route, mainly followed by membrane receptor and other molecules like Transferrin, brings the cargo back to the plasma membrane and 2) the degradative route, followed by molecules like Epidermal Growth Factor (EGF) and Lipoprotein particles (LDL), leads the cargo to degradation into late endosomes/lysosomes. In addition to the basic function of intracellular cargo transport, the endocytic system fulfils many other cellular and developmental functions such as transmission of proliferative and survival signals and defence against pathogens. In order for cells to properly perform their various and numerous functions in organs and tissues, the activity of the endocytic system needs to be coordinated between cells and, within individual cells, integrated with other cellular functions. Even though molecules orchestrating the endocytic sorting and transport of different types of cargo have long been investigated, our understanding of the molecular machinery underlying endocytosis and its coordination into the cellular systems remains fragmentary. The work presented in this thesis aimed at understanding how this high-order regulation and integration is achieved. This requires not only a comprehensive analysis of molecular constituents of the endocytic system but also an understanding of the general design principles underlying its function. To this end, in collaboration with several members of the Zerial group and with the HT-Technology Development Studio (TDS) at MPI-CBG, I developed a new strategy to accurately profile the activity of human genes with respect to Transferrin (Tfn) and Epidermal Growth Factor (EGF) endocytosis by combining genome-wide RNAi with several siRNA/esiRNA per gene, automated high-resolution confocal microscopy, quantitative multi-parametric image analysis and high-performance computing. This provided a rich and complex genomic dataset that was subsequently subjected to analysis with a combination of tools such as a multi-parametric correlation of oligo profiles, phenotypic clustering and pathways analysis, and a Bayesian network reconstruction of key endocytic features. Altogether, the genomic endeavour and the subsequent analyses provided a number of important results: first, they revealed a much higher extent of off-target effects from RNAi and provided novel tools to infer the specific effects of genes loss of function; second, they identified a large number of novel molecules exerting a regulatory role on the endocytic system, including uncharacterized genes and genes implicated in human diseases; third, they uncovered the regulatory activity of signalling pathways such as Wnt, Integrin, TGF-β, and Notch, and found new genes regulating the sorting of cargo to a specialized subset of early endosomes that function as intracellular signalling platforms; and fourth, a systems analysis by Bayesian networks revealed that the cell specifically regulates the number, size, concentration of cargo and intracellular position of endosomes, thus uncovering novel properties of the endocytic system. In conclusion, the work presented here not only provided a dataset extremely rich of information whose potential has just begun to be uncovered but also shows how genomic datasets can be used to reveal design principles governing the functioning of biological processes.