Molecular study of cell degeneration and evolution induced by mRNA mistranslation

As proteínas existentes nas células são produzidas pelo mecanismo de tradução do mRNA, no qual a informação genética contida nos genes é descodificada em cadeias polipeptídicas. O código genético, que define as regras de descodificação do genoma, minimiza os erros de tradução do mRNA, garantindo a síntese de proteínas com elevada fidelidade. Esta é essencial para a estabilidade do proteoma e para a manutenção e funcionamento dos processos celulares. Em condições fisiológicas normais, os erros da tradução do mRNA ocorrem com frequências que variam de 10-3 a 10-5 erros por codão descodificado. Situações que aumentam este erro basal geralmente estão associadas ao envelhecimento, stresse e a doenças; no entanto, em certos organismos o código genético é traduzido naturalmente com elevado erro, indicando que a síntese de proteínas aberrantes pode de algum modo ser vantajosa. A fim de estudar a resposta celular aos erros de tradução do mRNA, construímos leveduras que incorporam serina no proteoma em resposta a um codão de leucina, usando a expressão constitutiva de um tRNASer mutante. Este fenómeno genético artificial provocou uma forte diminuição da esporulação, da viabilidade e da eficiência de mating, afectando imensamente a reprodução sexual da levedura. Observou-se também uma grande heterogeneidade no tamanho e na forma das células e elevada instabilidade genómica, com o aparecimento de populações poliplóides e aneuplóides. No sentido de clarificar as bases celulares e moleculares daqueles fenótipos e compreender melhor a biologia do erro de tradução do mRNA, construímos também células de levedura que inserem serina em resposta a um codão de leucina de modo indutível e controlado. Utilizaram-se perfis de mRNA total e de mRNA associado a polissomas para elucidar a resposta celular ao erro de tradução do mRNA. Observou-se a indução de genes envolvidos na resposta ao stresse geral, stresse oxidativo e na unfolded protein response (UPR). Um aumento significativo de espécies reactivas de oxigénio (ROS) e um forte impacto negativo na capacidade das células pós-mitóticas re-iniciarem o crescimento foram também observados. Este fenótipo de perda de viabilidade celular foi resgatado por scavangers de ROS, indicando que o stresse oxidativo é a principal causa de morte celular causada pelos erros de tradução. Este estudo levanta a hipótese de que o stresse oxidativo e a acumulação de ROS, ao invés do colapso súbito do proteoma, são as principais causas da degeneração celular e das doenças humanas associadas aos erros de tradução do genoma. ABSTRACT: Proteins are synthesized through the mechanism of translation, which uses the genetic code to transform the nucleic acids based information of the genome into the amino acids based information of the proteome. The genetic code evolved in such a manner that translational errors are kept to a minimum and even when they occur their impact is minimized by similar chemical properties of the amino acids. Protein synthesis fidelity is essential for proteome stability and for functional maintenance of cellular processes. Indeed, under normal physiological conditions, mistranslation occurs at frequencies that range from 10-3 to 10-5 errors per codon decoded. Situations where this basal error frequency increases are usually associated to aging and disease. However, there are some organisms where genetic code errors occur naturally at high level, suggesting that mRNA mistranslation can somehow be beneficial. In order to study the cellular response to mRNA mistranslation, we have engineered single codon mistranslation in yeast cells, using constitutive expression of mutant tRNASer genes. These mistranslating strains inserted serines at leucine-CUG sites on a proteome wide scale due to competition between the wild type tRNALeu with the mutant tRNASer. Such mistranslation event decreased yeast sporulation, viability and mating efficiencies sharply and affected sexual reproduction strongly. High heterogeneity in cell size and shape and high instability in the genome were also observed, with the appearance of some polyploid or aneuploid cell populations. To further study the cellular and molecular basis of those phenotypes and the biology of mRNA mistranslation, we have also engineered inducible mRNA misreading in yeast and used total mRNA and polysome associated mRNA profiling to determine whether codon misreading affects gene expression. Induced mistranslation up-regulated genes involved in the general stress response, oxidative stress and in the unfolded protein response (UPR). A significant increase in reactive oxygen species (ROS) and a strong negative impact on the capacity of post-mitotic cells to re-initiate growth in fresh media were also observed. This cell viability phenotype was rescued by scavengers of ROS, indicating that oxidative stress is the main cause of cell death caused by mRNA mistranslation. This study provides strong support for the hypothesis that oxidative stress and ROS accumulation, rather than sudden proteome collapse or major proteome disruption, are the main cause of the cellular degeneration observed in human diseases associated mRNA mistranslation.

Evaluation of the matabolic response of osteosarcoma cells to conventional and new anticancer drugs by NMR metabolomics

The main scope of this work was to evaluate the metabolic effects of anticancer agents (three conventional and one new) in osteosarcoma (OS) cells and osteoblasts, by measuring alterations in the metabolic profile of cells by nuclear magnetic resonance (NMR) spectroscopy metabolomics. Chapter 1 gives a theoretical framework of this work, beginning with the main metabolic characteristics that globally describe cancer as well as the families and mechanisms of action of drugs used in chemotherapy. The drugs used nowadays to treat OS are also presented, together with the Palladium(II) complex with spermine, Pd2Spm, potentially active against cancer. Then, the global strategy for cell metabolomics is explained and the state of the art of metabolomic studies that analyze the effect of anticancer agents in cells is presented. In Chapter 2, the fundamentals of the analytical techniques used in this work, namely for biological assays, NMR spectroscopy and multivariate and statistical analysis of the results are described. A detailed description of the experimental procedures adopted throughout this work is given in Chapter 3. The biological and analytical reproducibility of the metabolic profile of MG-63 cells by high resolution magic angle spinning (HRMAS) NMR is evaluated in Chapter 4. The metabolic impact of several factors (cellular integrity, spinning rate, temperature, time and acquisition parameters) on the 1H HRMAS NMR spectral profile and quality is analysed, enabling the definition of the best acquisition parameters for further experiments. The metabolic consequences of increasing number of passages in MG-63 cells as well as the duration of storage are also investigated. Chapter 5 describes the metabolic impact of drugs conventionally used in OS chemotherapy, through NMR metabolomics studies of lysed cells and aqueous extracts analysis. The results show that MG-63 cells treated with cisplatin (cDDP) undergo a strong up-regulation of lipid contents, alterations in phospholipid constituents (choline compounds) and biomarkers of DNA degradation, all associated with cell death by apoptosis. Cells exposed to doxorubicin (DOX) or methotrexate (MTX) showed much slighter metabolic changes, without any relevant alteration in lipid contents. However, metabolic changes associated with altered Krebs cycle, oxidative stress and nucleotides metabolism were detected and were tentatively interpreted at the light of the known mechanisms of action of these drugs. The metabolic impact of the exposure of MG-63 cells and osteoblasts to cDDP and the Pd2Spm complex is described in Chapter 6. Results show that, despite the ability of the two agents to bind DNA, the metabolic consequences that arise from exposure to them are distinct, namely in what concerns to variation in lipid contents (absent for Pd2Spm). Apoptosis detection assays showed that, differently from what was seen for MG-63 cells treated with cDDP, the decreased number of living cells upon exposure to Pd2Spm was not due to cell death by apoptosis or necrosis. Moreover, the latter agent induces more marked alterations in osteoblasts than in cancer cells, while the opposite seemed to occur upon cDDP exposure. Nevertheless, the results from MG-63 cells exposure to combination regimens with cDDP- or Pd2Spm-based cocktails, described in Chapter 7, revealed that, in combination, the two agents induce similar metabolic responses, arising from synergy mechanisms between the tested drugs. Finally, the main conclusions of this thesis are summarized in Chapter 8, and future perspectives in the light of this work are presented.