La glycyl-ARNt synthétase humaine (GRS) est une enzyme clé dans la traduction des protéines dans le cytosol et la mitochondrie. Chez l’Homme, des mutations de la GRS conduisent à la neuropathie périphérique Charcot-Marie-Tooth (CMT). Bien que l’activité de la GRS soit ubiquitaire, les mutations associées à la CMT n’affectent que les nerfs périphériques, suggérant un rôle supplémentaire de la GRS dans les neurones. Pour comprendre ce rôle, nous avons d’abord élucidé le mécanisme particulièrement complexe qui contrôle l’expression de la GRS mitochondriale et cytosolique à partir du même gène. Nous avons identifié deux ARNm : un codant pour les deux enzymes ; et un autre plus long qui contient une IRES fonctionnelle et un uORF. Cet ARNm complexe, ne génère que la GRS cytosolique et montre que son expression et localisation sont étroitement contrôlées. De plus, nous avons montré une distribution particulière de la GRS dans des neurones, qui est un premier indice sur un rôle non canonique. / Human Glycyl-tRNA synthetase (GRS) is a housekeeping enzyme with a key role in protein synthesis, both in the cytosol and the mitochondria. In human, mutations in GRS cause the Charcot-Marie-Tooth (CMT) peripheral neuropathy. Though GRS activity is required in all cells, the CMT-associated mutations affect only the peripheral nervous system, suggesting an additional non canonical role.To understand how GRS is involved in CMT pathology, we first elucidated the original post-transcriptional regulatory mechanism that controls the expression of both the mitochondrial and the cytosolic GRS from a single gene. We identified two mRNA isoforms: one coding for both enzymes; and a longer one containing a functional IRES and an uORF encoding only the cytosolic GRS, evidence that expression and localization of human GRS are tightly controlled. Furthermore, we found a particular Ca2+ dependant distribution of GRS in neurons, giving us a first clue about a potential non-canonical role in neurons.

Les ARNt sont des molécules adaptatrices reliant l'information génétique de l’ARN messagers à la séquence d'acides aminés primaire des protéines. Les ARNt ont une structure typique, appelée "feuille de trèfle". Certains ARNt mitochondriaux montrent une forte dérivation de cette structure. Un cas extrême peut être observé dans les mitochondries du nématode R. culicivorax. Cette étude vise la caractérisation fonctionnelle de ces ARNt «bizarres» et de définir leurs propriétés structurales et leur fonctionnalité avec des protéines partenaires telles que les CCAses et les aminoacyl-ARNt synthetases. Ce travail révèle que les ARNt sans bras forment une structure secondaire en forme d'épingle à cheveux et que leurs structures 3D présentent une grande flexibilité intrinsèque. Les tests initiaux n’ont pas démontré l'activité d'aminoacylation. Cependant, les ARNt sans bras représentent des molécules fonctionnelles pour le CCAse, indiquant des adaptations de l’enzyme aux ARNt sans bras. / TRNAs are adapter molecules linking the genetic information of messenger RNAs with the primary amino acid sequence of proteins. tRNAs have a typical cloverleaf-like secondary structure. Some mitochondrial tRNAs show a high derivation from this canonical tRNA structure. An extreme case of structural truncations can be observed in mitochondria of the nematode R. culicivorax. This study aims the functional characterization of such “bizarre” tRNAs in defining their structural properties and their functionality with interacting partner proteins such as CCA-adding enzymes and aminoacyl-tRNA synthetases. This work reveals that armless tRNAs form a hairpin-shaped secondary structure. 3D structures exhibit a high intrinsic flexibility. Initial tests could not demonstrate aminoacylation activity. However, armless tRNAs represent functional molecules for CCA-incorporation, indicating adaptations of CCA-adding enzymes to armless tRNAs.

La méthylation de l’uridine sur son carbone 5 est apparue au cours de l’évolution sous plusieurs formes. Tout d’abord, les thymidylate synthases permettent la synthèse de novo du dTMP, un précurseur essentiel de l’ADN des trois règnes du vivant. Deux familles de thymidylate synthases sont connues à ce jour : ThyA et la flavo-enzyme ThyX, codées par des gènes hétérologues et ayant des structures et mécanismes réactionnels radicalement différents. En outre, cette méthylation de l’uridine est apparue (probablement plus tard) sous forme de modifications post-transcriptionnelles des ARNt et ARNr. Cette thèse vise à questionner les contraintes évolutives ayant menés indépendament à ces quatres types de méthylation de l’uridine.Une première partie décrit l’identification d’une voie métabolique permetant la complémentation du phénotype d’auxotrophie pour la thymidine par des analogues nucléotidiques chez Escherichia coli. Une approche de biologie synthétique en vue d’établir une voie alternative de biosynthèse du thymidylate a aussi été mise en œuvre. Une technique de sélection de gènes de complémentation du phénotype d’auxotrophie pour la thymidine, issus de mutagénèse aléatoire, a pu être développée. Dans une seconde partie, des études biochimiques et sppectroscopiques ont été réalisées sur la méthyle-transférase flavine-dépendante TrmFO, responsable de la méthylation post-transciptionnelle de l’uridine 54 des ARNt de certains microorganismes.L’implication de certains résidus dans la fixation du substrat a pu être déterminée d’une part, et certains intermédiaires réactionnels potentiels ont été caractérisés spectralement d’autre part. Ces dernières observations s’appuient, en outre, sur des études en cours de spectroscopie résolue en temps et des simulations de dynamique moléculaire afin de mieux comprendre les flavoprotéines en général et les méthyle transférases flavine-dépendantes en particulier. / Enzymes catalyzing the methylation of uridine at its carbon 5 position have appeared independently in different forms across evolution. Thymidylate synthases ThyA and the flavoprotein ThyX catalyze the de novo synthesis of dTMP, an essential DNA precursor in the three domains of life. They are encoded by heterologous genes and have drastically different structures and reaction mechanisms. On the other hand, this uridine methylation is also performed by tRNA and rRNA post-transcriptional modification enzymes.This thesis assesses the question of the evolutionary constraints that have led independently to four kinds of uridine methylation. The first part describes the identification of a metabolic pathway allowing the complementation of thymidine auxotrophy by non-natural nucleotide analogs in Escherichia coli. A synthetic biology approach, aiming to establish an alternative pathway for thymidylate biosynthesis, was also implemented and a selection strategy for thymidine auxotrophy-complementing genes, could be developed.In a second part, biochemical and spectral studies where realised on the flavin-dependent methyltransferase TrmFO, responsible for the post-transcriptional methylation of uridine at the invariant position 54 of tRNA in several microorganisms. The involvement of specific amino acid residues in substrate fixation and in stabilization of potential reaction intermediates was demonstrated. Their spectral characterization supports previously proposed reaction schemes for flavin-dependent thymidylate forming enzymes. These observations are currently being pursued by parallel approaches combining time-resolved spectroscopy and molecular dynamics simulations, aiming to further our understanding of how flavin mediates the transfer of carbon molecules from folate to uracil rings.

京都大学 / 0048 / 新制・課程博士 / 博士(生命科学) / 甲第19208号 / 生博第341号 / 新制||生||45(附属図書館) / 32200 / 京都大学大学院生命科学研究科高次生命科学専攻 / (主査)教授 垣塚 彰, 教授 渡邊 直樹, 教授 影山 龍一郎 / 学位規則第4条第1項該当 / Doctor of Philosophy in Life Sciences / Kyoto University / DFAM

No description available.

Surprisingly little is known about the organization and distribution of tRNAs and tRNA-related sequences on a genome-wide scale. While tRNA complements are usually reported in passing as part of genome annotation efforts, and peculiar features such as the tandem arrangements of tRNAs in Entamoeba histolytica have been described in some detail, comparative studies are rare. We therefore set out to systematically survey the genomic arrangement of tRNAs in a wide range of eukaryotes to identify common patterns and taxon-specific peculiarities. We found that tRNA complements evolve rapidly and that tRNA locations are subject to rapid turnover. At the phylum level, distributions of tRNA numbers are very broad, with standard deviations on the order of the mean. Even within fairly closely related species, we observe dramatic changes in local organization. Consistent with this variability, syntenic conservation of tRNAs is also poor in general, with turn-over rates comparable to those of unconstrained sequence elements. We conclude that the genomic organization of tRNAs shows complex, lineage-specific patterns characterized by extensive variability, and that this variability is in striking contrast to the extreme levels of sequence-conservation of the tRNA genes themselves. Our comprehensive analysis of eukaroyotic tRNA distributions provides a basis for further studies into the interplay between tRNA gene arrangements and genome organization in general. Secondly, we focused on the investigation of small non-coding RNAs (ncRNAs) from whole transcriptome data. Since ncRNAs constitute a significant part of the transcriptome, we explore this data to detect and classify patterns derived from transcriptome-associated loci. We selected three distinct ncRNA classes: microRNAs, snoRNAs and tRNAs, all of which undergo maturation processes that lead to the production of shorter RNAs. After mapping the sequences to the reference genome, specific patterns of short reads were observed. These read patterns appeared to reflect RNA processing and, if so, should specify the RNA transcripts from which they are derived. In order to investigate whether the short read patterns carry information on the particular ncRNA class from which they orginate, we performed a random forest classification on the three distinct ncRNA classes listed above. Then, after exploring the potential classification of general groups of ncRNAs, we focused on the identification of small RNA fragments derived from tRNAs. After mapping transcriptome sequence data to reference genomes, we searched for specific short read patterns reflecting tRNA processing. In this context, we devised a common tRNA coordinate system based on conservation and secondary structure information that allows vector representation of processing products and thus comparison of different tRNAs by anticodon and amino acid. We report patterns of tRNA processing that seem to be conserved across species. Though the mechanisms and functional implications underlying these patterns remain to be clarified, our analysis suggests that each type of tRNA exhibits a specific pattern and thus appears to undergo a characteristic maturation process.

No description available.

Proteins—polymers of amino acids—are a major class of biomolecules whose myriad functions facilitate many crucial biological processes. Accordingly, human control over these biological processes depends upon the ability to study, produce, and modify proteins. One innovative tool for accomplishing these aims is cell-free protein synthesis (CFPS). This technique, rather than using living cells to make protein, simply extracts the cells' natural protein-making machinery and then uses it to produce protein in vitro. Because living cells are no longer involved, scientists can freely adapt the protein production environment in ways not otherwise possible. However, improved versatility and yield of CFPS protein production is still the subject of considerable research. This work focuses on two ideas for furthering that research.The first idea is the adaptation of CFPS to make proteins containing unnatural amino acids. Unnatural amino acids are not found in natural biological proteins; they are synthesized artificially to possess useful properties which are then conferred upon any protein made with them. However, current methods for incorporating unnatural amino acids do not allow incorporation of more than one type of unnatural amino acid into a single protein. This work helps lay the groundwork for the incorporation of different unnatural amino acid types into proteins. It does this by using modified aminoacyl-tRNA synthetases (aaRSs), which are key components in CFPS, to be compatible with unnatural amino acids. The second idea is the preservation of DNA templates from enzyme degradation in CFPS. Among the advantages of CFPS is the option of using linear expression templates (LETs) in place of plasmids as the DNA template for protein production. Because LETs can be produced more quickly than plasmids can, using LETs greatly reduces the time required to obtain a DNA template for protein production. This renders CFPS a better candidate for high-throughput testing of proteins. However, LETs are more susceptible to enzyme-mediated degradation than plasmids are, which means that LET-based CFPS protein yields are lower than plasmid-based CFPS yields. This work explores the possibility of increasing the protein yield of LET-based CFPS by addition of sacrificial DNA, DNA which is not used as a protein-making template but which is degraded by the enzymes in place of the LETs.

No description available.

The flow of genetic information from genes to proteins is mediated through proteins which interact with the nucleic acids at several stages to successfully transmit the information from the nucleus to the cell cytoplasm. Unlike in the case of protein-protein interactions, the principles behind protein-nucleic acid interactions are still not very (Pabo and Nekludova, 2000) and efforts are still underway to arrive at the basic principles behind the specific recognition of nucleic acids by proteins (Prabakaran et al., 2006). This is mainly due to the innate complexity involved in recognition of nucleotides by proteins, where, even within a given family of DNA binding proteins, different modes of binding and recognition strategies are employed to suit their function (Luscomb et al., 2000). Such difficulties have also not made possible, a thorough classification of DNA/RNA binding proteins based on the mode of interaction as well as the specificity of recognition of the nucleotides. The availability of a large number of structures of protein-nucleic acids complexes (albeit lesser than the number of protein structures present in the PDB) in the past few decades has provided the knowledge-base for understanding the details behind their molecular mechanisms (Berman et al., 1992). Previously, studies have been carried out to characterize these interactions by analyzing specific non-covalent interactions such as hydrogen bonds, van der Walls, and hydrophobic interactions between a given amino acid and the nucleic acid (DNA, RNA) in a pair-wise manner, or through the analysis of interface areas of the protein-nucleic acid complexes (Nadassy et al., 1998; Jones et al., 1999). Though the studies have deciphered the common pairing preferences of a particular amino acid with a given nucleotide of DNA or RNA, there is little room for understanding these specificities in the context of spatial interactions at a global level from the protein-nucleic acid complexes. The representation of the amino acids and the nucleotides as components of graphs, and trying to explore the nature of the interactions at a level higher than exploring the individual pair-wise interactions, could provide greater details about the nature of these interactions and their specificity. This thesis reports the study of protein-nucleic interactions using graph and network based approaches. The evaluation of the parameters for characterizing protein-nucleic acid graphs have been carried out for the first time and these parameters have been successfully employed to capture biologically important non-covalent interactions as clusters of interacting amino acids and nucleotides from different protein-DNA and protein-RNA complexes. Graph and network based approaches are well established in the field of protein structure analysis for analyzing protein structure, stability and function (Kannan and Vishveshwara, 1999; Brinda and Vishveshwara, 2005). However, the use of graph and network principles for analyzing structures of protein-nucleic acid complexes is so far not accomplished and is being reported the first time in this thesis. The matter embodied in the thesis is presented as ten chapters. Chapter 1 lays the foundation for the study, surveying relevant literature from the field. Chapter 2 describes in detail the methods used in constructing graphs and networks from protein-nucleic acid complexes. Initially, only protein structure graphs and networks are constructed from proteins known to interact with specific DNA or RNA, and inferences with regard to nucleic acid binding and recognition were indirectly obtained . Subsequently, parameters were evaluated for representing both the interacting amino acids and the nucleotides as components of graphs and a direct evaluation of protein-DNA and Protein-RNA interactions as graphs has been carried out. Chapter 3 and 4 discuss the graph and network approaches applied to proteins from a dataset of DNA binding proteins complexed with DNA. In chapter 3, the protein structure graphs were constructed on the basis of the non-covalent interactions existing between the side chains of amino acids. Clusters of interacting side chains from the graphs were obtained using the graph spectral method. The clusters from the protein-DNA interface were analyzed in detail for the interaction geometry and biological importance (Sathyapriya and Vishveshwara, 2004). Chapter 4 also uses the same dataset of DNA binding proteins, but a network-based approach is presented. From the analysis of the protein structure networks from these DNA binding proteins, interesting observations relating the presence of highly connected nodes(or hubs) of the network to functionally important amino acids in the structure, emerged. Also, the comparison between the hubs identified from the protein-protein and the protein-DNA interfaces in terms of their amino acid composition and their connectivity are also presented (Sathyapriya and Vishveshwara, 2006) Chapter 5 and 6 deal with the graph and network applications to a specific system of protein-RNA complex (aminoacyl-tRNA synthetases) to gain insights into their interface biology based on amino acid connectivity. Chapter 5 deals with a dataset of aminoacyl-tRNA synthetase (aaRS) complexes obtained with various ligands like ATP, tRNA and L-amino acids. A graph based identification of side chain clusters from these ligand-bound aaRS structures has highlighted important features of ligand-binding at the catalytic sites of the two structurally different classes of aaRS (Class I and Class II). Side chain clusters from other regions of aaRS such as the anticodon binding region and the ligand-activation sites are discussed. A network approach is used in a specific system of aaRS(E.coli Glutaminyl-tRNA synthetase (GlnRS) complexed with its ligands, to specifically understand the effects of different ligand binding., in chapter 6. The structure networks of E.coli GlnRS in the ligand-free and different ligand-bound states are constructed. The ligand-free and the ligand-bound complexes are compared by analyzing their network properties and the presence of hubs to understand the effect of ligand-binding. These properties have elegantly captured the effects of ligand-binding to the GlnRS structure and have also provided an alternate method for comparing three dimensional structures of proteins in different ligand-bound states (Sathyapriya and Vishveshwara, 2007). In contrast to protein structure graphs (PSG), both the interacting amino acids and nucleotides (DNA/RNA) form the components of the protein-nucleic acid graphs (PNG) from protein-nucleic acid complexes. These graphs are constructed based on the non-covalent interactions existing between the side chains of the amino acids and nucleotides. After representing the interacting nucleotides and amino acids as graphs, clusters of the interacting components are identified. These clusters are the strongly interacting amino acids and nucleotides from the protein-nucleic acid complexes. These clusters can be generated at different strengths of interaction between the amino acid side chain and the nucleotide (measured in terms of its atomic connectivity) and can be used for detecting clusters of non-specific as well as specific interactions of amino acids and nucleotides. Though the methodology of graph construction and cluster identification are given in chapter 2, the details of the parameters evaluated for constructing PNG are given in chapter 7. Unlike in the previous chapters, the succeeding chapters deal exclusively with results that are obtained from the analyses of PNG. Two examples of obtaining clusters from a PNG are given, one each for a protein-DNA and a protein-RNA complex. In the first example, a nucleosome core particle is subjected to the graph based analysis and different clusters of amino acids with different regions of the DNA chain such as phosphate, deoxyribose sugar and the base are identified. Another example of aminoacyl-tRNA synthetase complexed with its cognate tRNA is used to illustrate the method with a protein-RNA complex. Further, the method of constructing and analyzing protein-nucleic acid graphs has been applied to the macromolecular machinery of the pre-translocation complex of the T. thermophilus 70S ribosome. Chapter 8 deals exclusively with the results identified from the analysis of this magnificent macromolecular ensemble. The availability of the method that can handle interactions between both amino acids and the nucleotides of the protein-nucleic acid complexes has given us the basis fro evaluating these interactions in a level higher than that of analyzing pair-wise interactions. A study on the evaluation of short hydrogen bonds(SHB) in proteins, which does not fall under the realm of the main objective of the thesis, is discussed in the Chapter 9. The short hydrogen bonds, defined by the geometrical distance and angle parameters, are identified from a non-redundant dataset of proteins. The insights into their occurrence, amino acid composition and secondary structural preferences are discussed. The SHB are present in distinct regions of protein three-dimensional structures, such that they mediate specific geometrical constraints that are necessary for stability of the structure (Sathyapriya and Vishveshwara, 2005). The significant conclusions of various studies carried out are summarized in the last chapter (Chapter 10). In conclusion, this thesis reports the analyses performed with protein-nucleic acid complexes using graph and network based methods. The parameters necessary for representing both amino acids and the nucleotides as components of a graph, are evaluated for the first time and can be used subsequently for other analyses. More importantly, the use of graph-based methods has resulted in considering the interaction between the amino acids and the nucleotides at a global level with respect to their topology of the protein-nucleic acid complexes. Such studies performed on a wide variety of protein-nucleic acid complexes could provide more insights into the details of protein-nucleic acid recognition mechanisms. The results of these studies can be used for rational design of experimental mutations that ascertain the structure-function relationships in proteins and protein-nucleic acid complexes.