Ro ribonucleoproteins are antigenic protein-RNA particles that are the major targets of the immune reaction in autoimmune disorders like systemic lupus erythematosus. The Ro protein has been implicated in cellular RNA quality control, due to its preference for binding misfolded non-coding RNAs such as pre5S ribosomal RNAs and U2 small-nuclear RNAs besides binding cytoplasmic RNAs called Y RNAs. Although well characterized in eukaryotes, an understanding of Ro in prokaryotes is lacking. To gain structural insight into Ro-RNA interactions we have determined a high resolution crystal structure of Rsr, a Ro ortholog from the bacterium D. radiodurans. The structure of Rsr reveals two domains- a flexible, RNA binding HEAT repeat domain and a cation binding vonWillebrand factor A domain. Structural differences between Rsr and Xenopus laevis Ro at the misfolded non-coding RNA binding site suggest a possible conformational switch in Ro that might enable RNA binding. Structural and biochemical characterization reveals that Ro binds cytoplasmic small RNAs called Y RNAs with low nanomolar affinity, to form ~700kDa multimers. Formation of these multimers suggests one possible mode by which Ro RNAs may be targeted towards downstream processing events. Metal responsive transcriptional regulators sense specific metals in the cells and regulate the expression of specific operons involved in export, import or sequestration of the metal. CsoR is a copper(I) specific transcriptional regulator of the cso operon which consists of a putative copper export pump, CtpV. In copper limiting conditions, CsoR binds the operator/promoter region of the cso operon. In increased concentrations of copper (I), CsoR binds copper (I) with high affinity and is released from the operator/promoter site, causing derepression of the cso operon. To gain structural insight into CsoR function, we have solved the crystal structure of copper(I) bound CsoR. The structure reveals a homodimer with a subunit bridging copper site. The trigonal planar geometry and the presence of cysteine and histidine ligands at the metal site are favorable for copper(I) binding. The structure reveals a novel DNA binding fold in CsoR, making it the founding member of a new structural class of metalloregulators.

Ro ribonucleoproteins are antigenic protein-RNA particles that are the major targets of the immune reaction in autoimmune disorders like systemic lupus erythematosus. The Ro protein has been implicated in cellular RNA quality control, due to its preference for binding misfolded non-coding RNAs such as pre5S ribosomal RNAs and U2 small-nuclear RNAs besides binding cytoplasmic RNAs called Y RNAs. Although well characterized in eukaryotes, an understanding of Ro in prokaryotes is lacking. To gain structural insight into Ro-RNA interactions we have determined a high resolution crystal structure of Rsr, a Ro ortholog from the bacterium D. radiodurans. The structure of Rsr reveals two domains- a flexible, RNA binding HEAT repeat domain and a cation binding vonWillebrand factor A domain. Structural differences between Rsr and Xenopus laevis Ro at the misfolded non-coding RNA binding site suggest a possible conformational switch in Ro that might enable RNA binding. Structural and biochemical characterization reveals that Ro binds cytoplasmic small RNAs called Y RNAs with low nanomolar affinity, to form ~700kDa multimers. Formation of these multimers suggests one possible mode by which Ro RNAs may be targeted towards downstream processing events. Metal responsive transcriptional regulators sense specific metals in the cells and regulate the expression of specific operons involved in export, import or sequestration of the metal. CsoR is a copper(I) specific transcriptional regulator of the cso operon which consists of a putative copper export pump, CtpV. In copper limiting conditions, CsoR binds the operator/promoter region of the cso operon. In increased concentrations of copper (I), CsoR binds copper (I) with high affinity and is released from the operator/promoter site, causing derepression of the cso operon. To gain structural insight into CsoR function, we have solved the crystal structure of copper(I) bound CsoR. The structure reveals a homodimer with a subunit bridging copper site. The trigonal planar geometry and the presence of cysteine and histidine ligands at the metal site are favorable for copper(I) binding. The structure reveals a novel DNA binding fold in CsoR, making it the founding member of a new structural class of metalloregulators.

No description available.

La protéine SRSF1, aussi appelée ASF/SF2, fait partie de la famille des protéines SR, une famille de protéines liant l’ARN très conservées. Ces protéines jouent un rôle régulateur de l’épissage, également lors de l’épissage alternatif. Une centaine d’ARN cible ont été décrits pour SRSF1 mais la manière dont SRSF1 sélectionne ses cibles parmi tous les pré-ARNm est mal comprise. Des études in vitro et in vivo ont montré que les protéines SR reconnaissent un petit motif dégénéré qui est souvent présent en plusieurs copies dans les ESE («enhancer splicing element »). Bien que les protéines SR lient ces motifs avec une faible spécificité, la définition des exons se fait avec une grande fidélité. Afin de mieux comprendre le mécanisme d’action de SRSF1, j’ai réalisé une étude cinétique des interactions SRSF1-ARN dans les cellules vivantes par des techniques de microscopies avancées. Grâce au système CRISPR, j’ai pu étiqueter la protéine SRSF1 avec la protéine Halo puis j’ai combiné une technique de photo-blanchiment (FRAP) et une technique de suivi de particule unique (« single particle tracking, SPT) pour mesurer la diffusion de SRSF1 et son affinité pour l’ARN. J’ai mesuré la durée de vie des événements de liaison individuellement aussi bien sur le pool global de pré-ARNm que sur des cibles spécifiques. Nos résultats indiquent que la liaison de SRSF1 ne dépasse pas quelques secondes, même sur les cibles de haute affinité. Cette cinétique rapide permet à SRSF1 d’être en contact avec l’ensemble des transcrits naissants qui est produit en permanence dans la cellule. De plus, mon travail apporte une analyse cinétique de la dynamique des snRNP à la résolution de la molécule unique dans le nucléoplasme des cellules vivantes. Nous avons déterminé les coefficients de diffusion des snRNP et la durée de leur association à l’ARN dans ces cellules. / SRSF1, formerly known as ASF/SF2, belongs to the SR protein family, which is a conserved family of RNA-binding protein that plays essential roles as regulators of both constitutive and alternative splicing. Hundreds of RNA targets have been described for SRSF1 but how SRSF1 selects its targets from the entire pool of cellular pre-mRNAs remains an open question. In vitro and in vivo studies have shown that SR proteins recognize short degenerated motifs often present in multiple copies at ESEs. Similar cryptic motifs are however frequently present in pre-mRNAs, and this low specificity of binding contrasts with the great fidelity of exon definition. To better understand the mechanism of action of SRSF1, I performed a kinetic study of SRSF1-RNA interactions in live cells using advanced microscopic techniques. Taking advantage by the CRISPR system, I tagged endogenous SRSF1 with Halo protein, and I combined photobleaching (FRAP) and single particle tracking (SPT) techniques to estimate diffusion and binding rates of SRSF1. I measured the duration of individual binding events, both on the cellular pool of pre-mRNAs and on specific targets. Our results indicate that binding of SRSF1 does not exceed few seconds, even on high-affinity targets. This rapid kinetics allows SRSF1 to rapidly sample the entire pool of nascent RNAs continuously produced in cells. Moreover, we provided a kinetic analysis of snRNP dynamics at a single-molecule resolution in the nucleoplasm of living cells. Our results enabled us to determine diffusion coefficients of snRNPs and their RNA binding duration in vivo.

No description available.

No description available.

L’activité RNase P est l'activité essentielle qui élimine les séquences 5' supplémentaires des précurseurs d'ARN de transfert. "PRORP" (PROteinaceous RNase P) définit une nouvelle catégorie de RNase P uniquement protéique. Avant la caractérisation de PRORP, on pensait que les enzymes RNase P étaient universellement conservées sous forme de ribonucléoprotéines (RNP). La caractérisation de PRORP a révélé une enzyme avec deux domaines principaux, un domaine N-terminal contenant plusieurs motifs PPR et un domaine NYN C-terminal portant l’activité catalytique. Nous avons utilisé une combinaison d'approches biochimiques et biophysiques pour caractériser le complexe PRORP / ARNt. La structure du complexe en solution a été déterminée par diffusion des rayons X aux petits angles (SAXS) et les Kd des interactions de différents mutants de PRORP avec l’ARNt ont été déterminées par ultracentrifugation analytique. Notre analyse révèle un cas intéressant d'évolution convergente. Il suggère que PRORP a développé un processus de reconnaissance de l'ARN similaire à celui des RNase P RNP. Par ailleurs, nous avons mis en place une approche de co-immunoprécipitation de PRORP avec l’ARN afin de définir le spectre de substrats des RNase P protéiques. / RNase P is the essential activity that removes 5'-leader sequences from transfer RNA precursors. “PRORP” (PROteinaceous RNase P) defines a novel category of protein only RNase P. Before the characterization of PRORP, RNase P enzymes were thought to occur universally as ribonucleoproteins (RNP). The characterization of PRORP revealed an enzyme with two main domains, an N-terminal domain containing multiple PPR motifs and a C-terminal NYN domain holding catalytic activity. We used a combination of biochemical and biophysical approaches to characterize the PRORP / tRNA complex. The structure of the complex in solution was determined by small angle X-ray scattering and Kd values of the PRORP / tRNA interaction were determined by analytical ultracentrifugation. We also analyzed direct interaction of a collection of PPR mutants with tRNA in order to determine the relative importance of individual PPR motifs for RNA binding. This reveals to what extent PRORP target recognition process conforms to the mode of action of PPR proteins interacting with linear RNA. Altogether, our analysis reveals an interesting case of convergent evolution. It suggests that PRORP has evolved an RNA recognition process similar to that of RNP RNase P. Moreover, we also implemented a PRORP-RNA co-immunoprecipitation approach to determine the full extent of PRORP substrates.

Au fil du temps, la vie a évolué pour produire des organismes remarquablement complexes. Pour faire face à cette complexité, les organismes ont développé une pléthore de mécanismes régulateurs. Par exemple, les mammifères transcrivent des milliers d'ARN longs non codants (ARNlnc), accroissant ainsi la capacité régulatrice de leurs cellules. Un concept émergent est que les ARNlnc peuvent servir d'échafaudages aux complexes protéiques, mais la prévalence de ce mécanisme n'a pas encore été démontrée. De plus, pour chaque ARN messager, plusieurs régions 3’ non traduites (3’UTRs) sont souvent présentes. Ces 3’UTRs pourraient réguler la fonction de la protéine en cours de traduction, en participant à la formation des complexes protéiques dans lesquels elle est impliquée. Néanmoins, la fréquence et l’importance ce mécanisme reste à aborder.Cette thèse a pour objectif de découvrir et comprendre systématiquement ces deux mécanismes de régulation méconnus. Concrètement, l'assemblage de complexes protéiques promus par les ARNlnc et les 3'UTRs est étudié avec des données d’interactions protéines-protéines et protéines-ARN à grande échelle. Ceci a permis (i) de prédire le rôle de plusieurs centaines d'ARNlnc comme molécules d'échafaudage pour plus de la moitié des complexes protéiques connus, ainsi que (ii) d’inférer plus d’un millier de complexes 3'UTR-protéines, dont certains cas pourraient réguler post-traductionnellement des protéines moonlighting aux fonctions multiples et distinctes. Ces résultats indiquent qu'une proportion élevée d'ARNlnc et de 3'UTRs pourrait réguler la fonction des protéines en augmentant ainsi la complexité du vivant. / Over time, life has evolved to produce remarkably complex organisms. To cope with this complexity, organisms have evolved a plethora of regulatory mechanisms. For instance, thousands of long non-coding RNAs (lncRNAs) are transcribed by mammalian genomes, presumably expanding their regulatory capacity. An emerging concept is that lncRNAs can serve as protein scaffolds, bringing proteins in proximity, but the prevalence of this mechanism is yet to be demonstrated. In addition, for every messenger RNA encoding a protein, regulatory 3’ untranslated regions (3’UTRs) are also present. Recently, 3’UTRs were shown to form protein complexes during translation, affecting the function of the protein under synthesis. However, the extent and importance of these 3’UTR-protein complexes in cells remains to be assessed.This thesis aims to systematically discover and provide insights into two ill-known regulatory mechanisms involving the non-coding portion of the human transcriptome. Concretely, the assembly of protein complexes promoted by lncRNAs and 3’UTRs is investigated using large-scale datasets of protein-protein and protein-RNA interactions. This enabled to (i) predict hundreds of lncRNAs as possible scaffolding molecules for more than half of the known protein complexes, as well as (ii) infer more than a thousand distinct 3’UTR-protein complexes, including cases likely to post-translationally regulate moonlighting proteins, proteins that perform multiple unrelated functions. These results indicate that a high proportion of lncRNAs and 3’UTRs may be employed in regulating protein function, potentially playing a role both as regulators and as components of complexity.

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.