Small nucleolar RNAs (snoRNAs) are one of the most abundant and evolutionary ancient group of small non-coding RNAs. Their main function is to target chemical modifications of ribosomal RNAs (rRNAs) and small nuclear (snRNAs). They fall into two classes, box C/D snoRNAs and box H/ACA snoRNAs, which are clearly distinguished by conserved sequence motifs and the type of modification that they govern. The box H/ACA snoRNAs are responsible for targeting pseudouridylation sites and the box C/D snoRNAs for directing 2’-O-methylation of ribonucleotides. A subclass that localize to the Cajal bodies, termed scaRNAs, are responsible for methylation and pseudouridylation of snRNAs. In addition an amazing diversity of non-canonical functions of individual snoRNAs arose. The modification patterns in rRNAs and snRNAs are retained during evolution making it even possible to project them from yeast onto human. The stringent conservation of modification sites and the slow evolution of rRNAs and snRNAs contradicts the rapid evolution of snoRNA sequences. Recent studies that incorporate high-throughput sequencing experiments still identify undetected snoRNAs even in well studied organisms as human. The snoRNAbase, which has been the standard database for human snoRNAs has not been updated ince 2006 and misses these new data. Along with the lack of a centralized data collection across species, which incorporates also snoRNA class specific characteristics the need to integrate distributed data from literature and databases into a comprehensive snoRNA set arose. Although several snoRNA studies included pro forma target predictions in individual species and more and more studies focus on non-canonical functions of subclasses a systematic survey on the guiding function and especially functional homologies of snoRNAs was not available. To establish a sound set of snoRNAs a computational snoRNA annotation pipeline, named snoStrip that identifies homologous snoRNAs in related species was employed. For large scale investigation of the snoRNA function, state-of-the-art target pedictions were performed with our software RNAsnoop and PLEXY. Further, a new measure the Interaction Conservation Index (ICI) was developed to evaluate the conservation of snoRNA function. The snoStrip pipeline was applied to vertebrate species, where the genome sequence has been available. In addition, it was used in several ncRNA annotation studies (48 avian, spotted gar) of newly assembled genomes to contribute the snoRNA genes. Detailed target analysis of the new vertebrate snoRNA set revealed that in general functions of homologous snoRNAs are evolutionarily stable, thus, members of the same snoRNA family guide equivalent modifications. The conservation of snoRNA sequences is high at target binding regions while the remaining sequence varies significantly. In addition to elucidating principles of correlated evolution it was possible, with the help of the ICI measure, to assign functions to previously orphan snoRNAs and to associate snoRNAs as partners to known but so far unexplained chemical modifications. As further pattern redundant guiding became apparent. For many modification sites more than one snoRNA encodes the appropriate antisense element (ASE), which could ensure constant modification through snoRNAs that have different expression patterns. Furthermore, predictions of snoRNA functions in conjunction with sequence conservation could identify distant homologies. Due to the high overall entropy of snoRNA sequences, such relationships are hard to detect by means of sequence homology search methods alone. The snoRNA interaction network was further expanded through novel snoRNAs that were detected in data from high-throughput experiments in human and mouse. Through subsequent target analysis the new snoRNAs could immediately explain known modifications that had no appropriate snoRNA guide assigned before. In a further study a full catalog of expressed snoRNAs in human was provided. Beside canonical snoRNAs also recent findings like AluACAs, sno-lncRNAs and extraordinary short SNORD-like transcripts were taken into account. Again the target analysis workflow identified undetected connections between snoRNA guides and modifications. Especially some species/clade specific interactions of SNORD-like genes emerged that seem to act as bona fide snoRNA guides for rRNA and snRNA modifications. For all high confident new snoRNA genes identified during this work official gene names were requested from the HUGO Gene Nomenclature Committee (HGNC) avoiding further naming confusion.

Eukaryotic ribosome biogenesis, a dynamic and coordinated multistep process which requires more than 150 trans-acting factors, has been intensely studied in the yeast Saccharomyces cerevisiae. This evolutionarily conserved process involves numerous cleavages of pre-rRNA, modification of nucleotides, and concomitant assembly of the ribosomal proteins onto the rRNA. Considerable information is available about the importance of conserved pre-rRNA cleavage events in ribosome biogenesis; however, very little is known about the exact role of modified nucleotides, which cluster within the functionally important regions of the ribosome. One conserved group of modifications is the dimethylation of two adjacent adenosines at the 3´ end of the small subunit rRNA which is ubiquitously carried out by the Dim1/KsgA methyltransferase family. Although dimethylation and KsgA are dispensable for survival in bacteria, the eukaryotic enzyme Dim1 is essential because of its requirement in the early pre-rRNA processing events. Similarly, few other members of the family have also evolved to carryout a second unrelated function in the cell. Almost all of the information about Dim1 was obtained from in vivo experiments in yeast, and has been determined that it is an indispensable part of a RNA-protein complex carrying out the pre-rRNA processing. Sequence analysis clearly shows that eukaryotic and archaeal enzymes have an extra insert in their C-terminal domain which is absent in bacterial enzymes and a better understanding of Dim1's function is only possible by its structural characterization which is the aim of this study. After several attempts, the yeast Dim1p was expressed under mild conditions in E. coli and purified in soluble form. Dim1p was able to methylate bacterial 30S subunits both in vivo and in vitro, indicating its ability to recognize bacterial substrate. Supporting our hypothesis, neither the bacterial nor archaeal orthologs were able to complement the processing function of Dim1p in yeast, tested using the plasmid shuffling technique. Our results suggest that the C-terminal insert of Dim1p, along with some structural features of the N-terminal domain, is important for its function in pre-rRNA processing. Further studies are required to understand the complex interactions between proteins and RNA involved in the ribosome biogenesis.

Small nucleolar RNAs (snoRNAs) are one of the most abundant and evolutionary ancient group of small non-coding RNAs. Their main function is to target chemical modifications of ribosomal RNAs (rRNAs) and small nuclear (snRNAs). They fall into two classes, box C/D snoRNAs and box H/ACA snoRNAs, which are clearly distinguished by conserved sequence motifs and the type of modification that they govern. The box H/ACA snoRNAs are responsible for targeting pseudouridylation sites and the box C/D snoRNAs for directing 2’-O-methylation of ribonucleotides. A subclass that localize to the Cajal bodies, termed scaRNAs, are responsible for methylation and pseudouridylation of snRNAs. In addition an amazing diversity of non-canonical functions of individual snoRNAs arose. The modification patterns in rRNAs and snRNAs are retained during evolution making it even possible to project them from yeast onto human. The stringent conservation of modification sites and the slow evolution of rRNAs and snRNAs contradicts the rapid evolution of snoRNA sequences. Recent studies that incorporate high-throughput sequencing experiments still identify undetected snoRNAs even in well studied organisms as human. The snoRNAbase, which has been the standard database for human snoRNAs has not been updated ince 2006 and misses these new data. Along with the lack of a centralized data collection across species, which incorporates also snoRNA class specific characteristics the need to integrate distributed data from literature and databases into a comprehensive snoRNA set arose. Although several snoRNA studies included pro forma target predictions in individual species and more and more studies focus on non-canonical functions of subclasses a systematic survey on the guiding function and especially functional homologies of snoRNAs was not available. To establish a sound set of snoRNAs a computational snoRNA annotation pipeline, named snoStrip that identifies homologous snoRNAs in related species was employed. For large scale investigation of the snoRNA function, state-of-the-art target pedictions were performed with our software RNAsnoop and PLEXY. Further, a new measure the Interaction Conservation Index (ICI) was developed to evaluate the conservation of snoRNA function. The snoStrip pipeline was applied to vertebrate species, where the genome sequence has been available. In addition, it was used in several ncRNA annotation studies (48 avian, spotted gar) of newly assembled genomes to contribute the snoRNA genes. Detailed target analysis of the new vertebrate snoRNA set revealed that in general functions of homologous snoRNAs are evolutionarily stable, thus, members of the same snoRNA family guide equivalent modifications. The conservation of snoRNA sequences is high at target binding regions while the remaining sequence varies significantly. In addition to elucidating principles of correlated evolution it was possible, with the help of the ICI measure, to assign functions to previously orphan snoRNAs and to associate snoRNAs as partners to known but so far unexplained chemical modifications. As further pattern redundant guiding became apparent. For many modification sites more than one snoRNA encodes the appropriate antisense element (ASE), which could ensure constant modification through snoRNAs that have different expression patterns. Furthermore, predictions of snoRNA functions in conjunction with sequence conservation could identify distant homologies. Due to the high overall entropy of snoRNA sequences, such relationships are hard to detect by means of sequence homology search methods alone. The snoRNA interaction network was further expanded through novel snoRNAs that were detected in data from high-throughput experiments in human and mouse. Through subsequent target analysis the new snoRNAs could immediately explain known modifications that had no appropriate snoRNA guide assigned before. In a further study a full catalog of expressed snoRNAs in human was provided. Beside canonical snoRNAs also recent findings like AluACAs, sno-lncRNAs and extraordinary short SNORD-like transcripts were taken into account. Again the target analysis workflow identified undetected connections between snoRNA guides and modifications. Especially some species/clade specific interactions of SNORD-like genes emerged that seem to act as bona fide snoRNA guides for rRNA and snRNA modifications. For all high confident new snoRNA genes identified during this work official gene names were requested from the HUGO Gene Nomenclature Committee (HGNC) avoiding further naming confusion.

Les ribosomes sont des macrocomplexes ribonucléoprotéiques sophistiqués, essentiels pour décoder l’information génétique et la traduire en protéines fonctionnelles. Chez les organismes eucaryotes, le ribosome est constitué de deux sous-unités, la petite (40S) et la grande (60S). Leur biogenèse est un processus fondamental, très complexe, qui mène à la synthèse et l’assemblage de 4 ARNr et 80 protéines ribosomiques (79 chez la levure). La biogenèse du ribosome a longtemps été étudiée chez Saccharomyces cerevisiae. Près de 20 ans de recherches ont été nécessaires à la communauté scientifique pour identifier les quelques 200 facteurs de synthèse du ribosome levurien. Alors que le schéma global de cette voie de biosynthèse semble conservé chez les organismes eucaryotes, de nombreux éléments suggèrent qu’elle serait plus élaborée chez l’homme et nécessiterait un plus grand nombre de facteurs que chez la levure. De plus, la caractérisation de nombreuses ribosomopathies, ou maladies du ribosome prédisposant aux cancers, a suscité un intérêt accru pour l’étude de la voie de biosynthèse du ribosome dans le paradigme expérimental le plus approprié, la cellule humaine.<p><p>Au cours de ma thèse de doctorat, j’ai contribué à un projet systématique d’identification de facteurs d’assemblage (FA) du ribosome chez l’homme. Pratiquement, nous avons identifié 286 FA humains, dont beaucoup sont homologues aux facteurs levuriens connus, et 74 sont sans équivalent chez la levure. Par ailleurs, j’ai caractérisé en détail certains facteurs. En particulier, Trm112 pour lequel j’ai montré qu’il agit comme un stabilisateur de la méthyltransférase (MTase) Bud23, spécifique à l’ARNr 18S de la sous-unité levurienne 40S. J’ai également participé à la caractérisation de mutations à l’interface du complexe Bud23-Trm112. Enfin, j’ai contribué à l’étude de trois FA que nous avons identifiés chez l’homme, DIMT1L et WBSCR22-TRMT112. J’ai montré que ces protéines sont les orthologues des MTases levuriennes Dim1 et Bud23-Trm112, qu’elles sont requises pour la synthèse et la modification de l’ARNr mature de la petite sous-unité ribosomique, et qu’elles seraient impliquées dans un mécanisme conservé contrôlant la qualité de la voie de biosynthèse du ribosome.<p><p>La totalité des FA que nous avons identifiés en cellule humaine sont à la disposition de la communauté scientifique dans une base de données en ligne accessible sur la page www.RibosomeSynthesis.com. Nous espérons que cette ressource contribuera à une meilleure compréhension des mécanismes moléculaires sous-jacents au développement des ribosomopathies et à l’élaboration d’agents thérapeutiques efficaces.<p> / Doctorat en sciences, Spécialisation biologie moléculaire / info:eu-repo/semantics/nonPublished