No description available.

No description available.

This thesis describes the use of functional genomics screens in yeast to study anticancer drug action and intracellular transport. The yeast Saccharomyces cerevisiae provides a particularly useful model system for global drug screens, due to the availability of knockout mutants for all yeast genes. A complete collection of yeast deletion mutants was screened for sensitivity to monensin, a drug that affects intracellular transport. A total of 63 deletion mutants were recovered, and most of them were in genes involved in transport beyond the Golgi. Surprisingly, none of the V-ATPase subunits were identified. Further analysis showed that a V-ATPase mutant interacts synthetically with many of the monensin-sensitive mutants. This suggests that monensin may act by interfering with the maintenance of an acidic pH in the late secretory pathway. The second part of the thesis concerns identification of the underlying causes for susceptibility and resistance to the anticancer drug 5-fluorouracil (5-FU). In a functional genomics screen for 5-FU sensitivity, 138 mutants were identified. Mutants affecting tRNA modifications were particularly sensitive to 5-FU. The cytotoxic effect of 5-FU is strongly enhanced in these mutants at higher temperature, which suggests that tRNAs are destabilized in the presence of 5-FU. Consistent with this, higher temperatures also potentiate the effect of 5-FU on wild type yeast cells. In a plasmid screen, five genes were found to confer resistance to 5-FU when overexpressed. Two of these genes, CPA1 and CPA2 encode the two subunits of the arginine-specific carbamoyl-phosphate synthase. The three other genes, HMS1, YAE1 and YJL055W are partially dependent on CPA1 and CPA2 for their effects on 5-FU resistance. The specific incorporation of [14C]5-FU into tRNA is diminished in all overexpressor strains, which suggest that they may affect the pyrimidine biosynthetic pathway.

Since the discovery of transfer RNAs (tRNAs) as decoders of the genetic code, life science has transformed. Particularly, as soon as the importance of tRNAs in protein synthesis has been established, researchers recognized that the functionality of tRNAs in cellular regulation exceeds beyond this paradigm. A strong impetus for these discoveries came from advances in large-scale RNA sequencing (RNA-seq) and increasingly sophisticated algorithms. Sequencing tRNAs is challenging both experimentally and in terms of the subsequent computational analysis. In RNA-seq data analysis, mapping tRNA reads to a reference genome is an error-prone task. This is in particular true, as chemical modifications introduce systematic reverse transcription errors while at the same time the genomic loci are only approximately identical due to the post-transcriptional maturation of tRNAs. Additionally, their multi-copy nature complicates the precise read assignment to its true genomic origin. In the course of the thesis a computational workflow was established to enable accurate mapping of tRNA reads. The developed method removes most of the mapping artifacts introduced by simpler mapping schemes, as demonstrated by using both simulated and human RNA-seq data. Subsequently, the resulting mapping profiles can be used for reliable identification of specific chemical tRNA modifications with a false discovery rate of only 2%. For that purpose, computational analysis methods were developed that facilitates the sensitive detection and even classification of most tRNA modifications based on their mapping profiles. This comprised both untreated RNA-seq data of various species, as well as treated data of Bacillus subtilis that has been designed to display modifications in a specific read-out in the mapping profile. The discussion focuses on sources of artifacts that complicate the profiling of tRNA modifications and strategies to overcome them. Exemplary studies on the modification pattern of different human tissues and the developmental stages of Dictyostelium discoideum were carried out. These suggested regulatory functions of tRNA modifications in development and during cell differentiation. The main experimental difficulties of tRNA sequencing are caused by extensive, stable secondary structures and the presence of chemical modifications. Current RNA-seq methods do not sample the entire tRNA pool, lose short tRNA fragments, or they lack specificity for tRNAs. Within this thesis, the benchmark and improvement of LOTTE-seq, a method for specific selection of tRNAs for high-throughput sequencing, exhibited that the method solves the experimental challenges and avoids the disadvantages of previous tRNA-seq protocols. Applying the accurate tRNA mapping strategy to LOTTE-seq and other tRNA-specific RNA- seq methods demonstrated that the content of mature tRNAs is highest in LOTTE-seq data, ranging from 90% in Spinacia oleracea to 100% in D. discoideum. Additionally, the thesis addressed the fact that tRNAs are multi-copy genes that undergo concerted evolution which keeps sequences of paralogous genes effectively identical. Therefore, it is impossible to distinguish orthologs from paralogs by sequence similarity alone. Synteny, the maintenance of relative genomic positions, is helpful to disambiguate evolutionary relationships in this situation. During this thesis a workflow was computed for synteny-based orthology identification of tRNA genes. The workflow is based on the use of pre-computed genome-wide multiple sequence alignment blocks as anchors to establish syntenic conservation of sequence intervals. Syntenic clusters of concertedly evolving genes of different tRNA families are then subdivided and processed by cograph editing to recover their duplication histories. A useful outcome of this study is that it highlights the technical problems and difficulties associated with an accurate analysis of the evolution of multi-copy genes. To showcase the method, evolution of tRNAs in primates and fruit flies were reconstructed. In the last decade, a number of reports have described novel aspects of tRNAs in terms of the diversity of their genes. For example, nuclear-encoded mitochondrial-derived tRNAs (nm-tRNAs) have been reported whose presence provokes intriguing questions about their functionality. Within this thesis an annotation strategy was developed that led to the identification of 335 and 43 novel nm-tRNAs in human and mouse, respectively. Interestingly, downstream analyses showed that the localization of several nm-tRNAs in introns and the over-representation of conserved RNA-binding sites of proteins involved in splicing suggest a potential regulatory function of intronic nm-tRNAs in splicing.

No description available.

No description available.

Le séquençage à haut débit est une technique très utile pour l’étude des ARN. Pendant mon doctorat, nous l’avons utilisé pour la caractérisation des ARN extracellulaire (ARNex) du plasma humain. Les ARNex du plasma sont retrouvés soit à l’état soluble sous forme de complexes ribonucléoprotéiques (RNP) ou encapsulés au sein de vésicules extracellulaires (VE) de diverses origines (exosomes, microvesicles, …). Dans ce projet, j’ai démontré que le plasma contenait principalement des micro ARN, le fragment hY4 et des ARN ribosomiques dégradés. Par ailleurs, après chromatographie à exclusion de tailles ou par traitement consécutif protéinase K/RNase A, des VE hautement purifiées peuvent être obtenus. Nous ne retrouvons plus en majorité les micro ARN et l’ARN hY4 dans ces échantillons mais plutôt des ARN du microbiote humain, montrant une composition différente entre les ARNex solubles et ceux des vésicules purifiées. Par ailleurs, j’ai également effectué une étude comparative de kits commerciaux qui sont supposés purifier les exosomes par précipitation. La composition en ARN de ces fractions est très similaire au plasma humain total, montrant une forte contamination par les RNP solubles. Ainsi, nous sommes en mesure de proposer un protocole pour l’étude des ARNex dans le cadre de biopsies liquides avec des échantillons cliniques afin de découvrir de potentiels biomarqueurs de diagnostic. Au-delà de la caractérisation d’ARN, le séquençage à haut-débit peut être utilisé pour la détection et quantification des modifications post-transcriptionnelles. Pendant ma thèse, j’ai utilisé le séquençage pour l’analyse des 2’O-méthylation des ARN de transfert chez E. coli par RiboMethSeq. Sous plusieurs conditions de stress (manque de nutriments ou des concentrations non létales d’antibiotiques), certaines 2’O-méthylations montrent une réponse adaptative. Alors que plus de la moitié des 2’O-méthylations en position 18 (Gm18) sont augmentées dans toutes les conditions de stress étudiées, les positions Nm34 montrent un effet opposé avec une diminution dans certains stress (chloramphénicol et streptomycine). Chacun de ces deux comportements peut être relié à un phénomène de régulation cellulaire en réponse au stress : un changement au niveau de la wobble base pourrait être un moyen de réguler la traduction en modifiant l’usage des codons. En ce qui concerne Gm18, son rôle dans l’évasion du système immunitaire inné lors de l’invasion d’un hôte est en cours d’élucidation. / For less than a decade, high-throughput sequencing became a very powerful, sensitive and precise technique for the study of ribonucleic acids. During my PhD thesis, I used this technology for in-depth characterization of the extracellular RNA (exRNA) content of human plasma. exRNA in plasma exists either in a “soluble state” as a component of ribonucleoprotein (RNP) complexes or encapsulated into extracellular vesicles (EV) of diverse origins (exosomes, microvesicles, …). In this project, I demonstrated that whole human plasma contains mostly micro RNA and the fragment of RNA hY4, as well as degraded ribosomal RNA. Moreover, using a rigorous strategy via size exclusion chromatography or consecutive proteinase K/RNase A treatments, highly purified EVs can be obtained. miRNAs and RNA hY4 fragments were not present in majority of samples, demonstrating a huge difference between soluble exRNA and exRNA from purified EVs. The RNA content of these EVs mainly reflects RNA composition of human microbiota. In addition, I also performed a comparative analysis of commercially available “exosome-enrichment” kits which are supposed to purify human exosomes by precipitation. Their RNA composition was found to be almost identical to human plasma, showing strong uncontrolled contamination by soluble RNPs. Based on this study, we were able to propose a protocol for studies in exRNA in the field of liquid biopsies with clinical sample in order to discover new diagnostic biomarkers. Apart from the characterization of RNA, high-throughput sequencing can be used for detection and quantification of RNA post-transcriptional modifications. During my PhD thesis I applied deep sequencing for analysis of transfer RNA (tRNA) 2’-O-methylations in model bacteria (E. coli) using RiboMethSeq. Under several stress conditions, such as starvation and non-lethal antibiotics concentrations, some 2’-O-methylated nucleotides show an adaptive response. While over than half of Gm18 show a global increase under all investigated stress conditions, ribomethylated residues at position 34 show an opposite effect for some antibiotic treatments (chloramphenicol and streptomycin). Each of these dynamic profiles can be linked to cell regulation in response to stress. Change at the tRNA wobble base (position 34) could be a way to regulate translation by modifying the codon usage. Concerning Gm18, its role in the escape from the human innate immune system during host invasion is currently elucidated.