Transcription factors are proteins that regulate transcription of genes by binding to specific DNA sequences proximal to the gene. The specificity and affinity of protein-DNA recognition is critical for proper gene regulation. This thesis explores the mechanisms of binding to the sequence 5’CACGTG, a common recognition sequence both in plants where it is known as the G-box and in mammalian cells where it is termed the E-box. This sequence is of clinical interest because it is the target of the transcription factor Myc, an oncogene linked to many cancers. A number of alpha-helical proteins with different dimerization elements, from the basic region-leucine zipper (bZIP), basic region helix-loop-helix leucine zipper (bHLHZ) and basic region helix-loop-helix-PAS (bHLH-PAS) protein families, are capable of binding to this sequence. The basic regions of all these protein families contain residues that contact DNA and determine DNA sequence specificity while the other subdomains are responsible for dimerization specificity. First, the influence of protein-DNA contacts on sequence specificity of the plant bZIP protein EmBP-1 was probed by point mutations in the basic region. Residues that contact the DNA outside the core G-box sequence and residues that contact the phosphate backbone were found to be important for sequence specificity. Second, the impact of the dimerization subdomains of bHLHZ protein Max, the required heterodimerization partner of the Myc protein, and bHLH-PAS protein Arnt was probed by mutation, deletion and inter-family subdomain swapping studies. All studied protein families are intrinsically disordered, forming structure upon dimerization and DNA binding. The dimerization domains were found to indirectly influence DNA binding by affecting folding, dimerization ability or proper orientation of the basic regions relative to DNA. Lastly, a new strategy for selection of G-box binding proteins in the Yeast One-hybrid system is explored. Together, these studies broaden our understanding of the structure-function relationship of the DNA-binding activities of these closely related families of transcription factors. The creation and characterization of mutants with altered specificity, affinity and dimerization specificity may also be useful for biotechnology applications.

Transcription factors are proteins that regulate transcription of genes by binding to specific DNA sequences proximal to the gene. The specificity and affinity of protein-DNA recognition is critical for proper gene regulation. This thesis explores the mechanisms of binding to the sequence 5’CACGTG, a common recognition sequence both in plants where it is known as the G-box and in mammalian cells where it is termed the E-box. This sequence is of clinical interest because it is the target of the transcription factor Myc, an oncogene linked to many cancers. A number of alpha-helical proteins with different dimerization elements, from the basic region-leucine zipper (bZIP), basic region helix-loop-helix leucine zipper (bHLHZ) and basic region helix-loop-helix-PAS (bHLH-PAS) protein families, are capable of binding to this sequence. The basic regions of all these protein families contain residues that contact DNA and determine DNA sequence specificity while the other subdomains are responsible for dimerization specificity. First, the influence of protein-DNA contacts on sequence specificity of the plant bZIP protein EmBP-1 was probed by point mutations in the basic region. Residues that contact the DNA outside the core G-box sequence and residues that contact the phosphate backbone were found to be important for sequence specificity. Second, the impact of the dimerization subdomains of bHLHZ protein Max, the required heterodimerization partner of the Myc protein, and bHLH-PAS protein Arnt was probed by mutation, deletion and inter-family subdomain swapping studies. All studied protein families are intrinsically disordered, forming structure upon dimerization and DNA binding. The dimerization domains were found to indirectly influence DNA binding by affecting folding, dimerization ability or proper orientation of the basic regions relative to DNA. Lastly, a new strategy for selection of G-box binding proteins in the Yeast One-hybrid system is explored. Together, these studies broaden our understanding of the structure-function relationship of the DNA-binding activities of these closely related families of transcription factors. The creation and characterization of mutants with altered specificity, affinity and dimerization specificity may also be useful for biotechnology applications.

Intra- and intercellular information is communicated by posttranslational modifications (PTMs) and protein-protein interactions, transducing information over cell membranes and to the nucleus. A cells capability to respond to stimuli by several highly complex and dynamic signaling networks provides the basis for rapid responses and is fundamental for the cellular collaborations required in a multicellular organism. Having received diverse stimuli, being positioned at various stages of the cell cycle or, for the case of cancer, containing altered genetic background, each cell in a population is slightly different from its neighbor. However, bulk analyses of interactions will only reveal an average, but not the true variation within a population. Thus studies of interacting endogenous biomolecules in situ are essential to acquire a comprehensive view of cellular functions and communication. In situ proximity ligation assay (in situ PLA) was developed to investigate individual endogenous protein-protein interactions in fixed cells and tissues and was later applied for detection for PTMs. Progression of signals in a pathway can branch out in different directions and induce expression of different target genes. Hence simultaneous measurement of protein activity and gene expression provides a tool to determine the balance and progression of these signaling events. To obtain this in situ PLA was combined with padlock probes, providing an assay that can interrogate both PTMs and mRNA expression at a single cell level. Thereby different nodes of the signaling pathway as well as drug effects on different types of molecules could be investigated simultaneously. In addition to regulation of gene expression, protein-DNA interactions present a mechanism to manage accessibility of the genomic DNA in an inheritable manner, providing the basis for lineage commitment, via e.g. histone PTMs. To enable analyses of protein-DNA interactions in situ we developed a method that utilizes the proximity dependence of PLA and the sequence selectivity of padlock probes. This thesis presents new methods providing researchers with a set of tools to address cellular functions and communication in complex microenvironments, to improve disease diagnostics and to contribute to hopefully finding cures.

Made available in DSpace on 2016-12-08T16:24:12Z (GMT). No. of bitstreams: 1 PGCA13MA092.pdf: 472096 bytes, checksum: aa4f745bb7f62d5ae8cd6ad77d0a4c7d (MD5) Previous issue date: 2013-07-09 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The marine fish farming and culture of snook, Centropomus undecimalis, have good prospects for commercial development in Brazil. In this regard, there is a need to expand studies on the evaluation of growth on snook, which can be realized by morphological or biochemical methods. The nutritional status and growth of fish can be influenced by several factors and their interactions, including genetic and environmental conditions, such as diet, different temperatures and salinities. Morphological analysis allows an investigation of the biometric data obtained from the body dimensions which are analyzed based on a mathematical relationship through correlation and linear regression equation. Regarding the biochemical methods, the most used are the quantification of DNA, RNA, proteins and determination of the RNA/DNA, protein/DNA ratios. Once the cell metabolism is usually associated with the nutritional status of the organism higher amounts of these components indicate greater biochemical activity of cells and protein synthesis. The results from this study will provide useful information related to the biology and cultivation of snook, promoting the application of biometric analysis and promoting a jumpstart for the application of biochemical analysis, cellular metabolism involved in the culture snook / A piscicultura marinha e o cultivo do robalo-flecha possuem boas perspectivas para o desenvolvimento comercial no Brasil. Neste sentido, existe a necessidade da ampliação de estudos relacionados com a avaliação do crescimento em robalos, que pode ser realizado por métodos morfológicos ou bioquímicos. A condição nutricional e o crescimento dos peixes podem ser influenciados por vários fatores e suas interações, incluindo a genética e as condições ambientais, como a alimentação, diferentes temperaturas e salinidades. A análise morfológica permite uma investigação das características biométricas, obtidas por meio das dimensões corporais, com base na sua relação matemática pela correlação e equação de regressão linear. Em relação aos métodos bioquímicos, os mais utilizados são a quantificação do DNA, RNA, proteínas e determinação das razões RNA/DNA, proteína/DNA. Uma vez que o metabolismo celular normalmente está relacionado com a situação nutricional do organismo, maiores quantidades desses componentes indicam maior atividade bioquímica das células e síntese proteica. Os resultados deste estudo permitem incrementar informações relacionadas à biologia e ao cultivo dos robalos aperfeiçoando a aplicação das análises biométricas e promovendo um salto inicial para a aplicação de análises bioquímicas, envolvidas com o metabolismo celular, no cultivo do robalo-flecha

The binding of different proteins involved in processes such as transcription, replication and chromatin compaction to regions of the genome is regulated by the structure of DNA. Thus, DNA structure acts as the crucial link modulating evolutionary selection of the DNA sequence based on its own function, and the function of the proteins it encodes. The aim of this work is to examine the role of intrinsic, sequence-dependent structural variations vis-a -vis the protein-induced variations, in allowing DNA to assume geometries necessary for binding by proteins. For this purpose, we carried out analyses of datasets of X-ray crystal structures of free and protein-bound DNA, and molecular dynamics simulation studies of few free DNA structures and a protein-DNA complex. Each of the projects described below will appear as a separate chapter in the thesis. Analysis of X-ray crystal structure datasets Dataset of high-resolution X-ray crystal structures of free and protein-bound DNA This project was initiated with the aim of investigating the variation in A-and B-forms of DNA and the role they play in the binding of proteins. However, a survey of the existing literature indicated that the terms ‘A-DNA’ and ‘B-DNA’ were being used rather loosely and several different parameters at the local structural level were being used by various investigators to characterise these structures. Hence a systematic study was taken up to analyse all high-resolution free DNA structures comprising of sufficient number of contiguous Watson-Crick basepairs, irrespective of how they were classified by the existing databases. We also carried out a study of double-helical, Watson-Crick basepaired, free RNA structures for comparison. The structures in the RNA dataset were observed to rigidly assume the A-form and hence the average values of different parameters for that dataset were used to characterise the A-form. The analysis of free DNA and RNA structures was accompanied by an analysis of protein-bound DNA crystal structures. DNA structures bound to the helix-turn-helix motif in proteins were also analysed separately. The analysis of free DNA and RNA structures allowed us to pinpoint the parameters suitable for discriminating A-and B-forms of DNA at the local structural level. The results illustrated that the free DNA molecule, even in the crystalline state, samples a large amount of conformational space, encompassing both the A-and the B-forms. Most protein-bound DNA structures, including those with large, smooth curvature, were observed to assume the B-form. The A-form was observed to be limited to a small number of dinucleotide steps in DNA structures bound to the proteins belonging to a few specific families. Thus our study highlighted the structural versatility of B-form DNA, which allowed it to take up a range of global geometries to accommodate most DNA-binding protein motifs. Dataset of X-ray crystal structures of the nucleosome The study of high-resolution structures of free and protein-bound DNA was followed by an analysis of a dataset of X-ray crystal structures of the nucleosome, which is the fundamental repeating unit of the eukaryotic chromosome, and has been shown to play an important role in transcription regulation. Our results indicated that there is an ensemble of dinucleotide and trinucleotide level parameters that can give rise to similar global nucleosome structures. We therefore raise doubts about the use of the best resolved nucleosome structure as the template to calculate the energy required by putative nucleosome-forming sequences for adopting the nucleosome structure. Based on our results, we have proposed that the local and global level structural variability of DNA may act as a significant factor influencing the formation of nucleosomes in the vicinity of high-plasticity genes, and in determining the probability of binding by regulatory proteins. Molecular dynamics simulation studies of free and protein-bound DNA structures The analysis of crystal structure databases was complemented by molecular dynamics (MD) studies to investigate the dynamic evolution of the DNA structure in its free and protein-bound states. The following three simulation studies were carried out: Study to examine the biological relevance of the presence of 5-methyl group in thymine nucleotides An investigation of the biological relevance of the 5-methyl group in thymine nucleotides was carried out. For this purpose, comparison of molecular dynamics studies on structures with sequences d(CGCAAAUUUGCG)2and d(CGCAAATTTGCG)2was carried out. Our results showed that the presence of the thymine 5-methyl group was necessary for the A-tract to assume characteristic properties such as a narrow minor groove. It was also shown to modulate local level structural parameters and consequently, the curvature of the longer DNA fragment in which the A-tract was embedded. The analysis also provided possible explanation for the experimentally observed interaction of A-tracts with drugs and DNase-I in the presence and the absence of the thymine 5-methyl group. This project was the first of a series of MD studies, and hence several protocols were tested before finalising the correct protocol. Simulations were carried out using the Berendsen temperature equilibration scheme as well as the Langevin temperature equilibration scheme on both the structures. The Langevin temperature equilibration scheme was found to be unsuitable for nucleic acid simulations, as it caused long-term and possibly permanent disruption of the double-helical structure at the terminal and the neighbouring two positions in the sequence. The Berendsen temperature equilibration scheme was not observed to cause such disruptions. Simulations were also carried out on both structures, with or without initialising the initial ion positions. The position of minimum electrostatic potential, where AMBER8 placed the first counterion, was observed to act as a minimum energy trap from which the counterion could not escape even during the course of several nanoseconds of simulation. Hence, the actual simulations were carried out using the Berendsen temperature equilibration scheme, and after randomisation of initial ion positions. The results of protocol testing have been reported in an appendix. Study of DNA bending and curvature An analysis of DNA bending and curvature was carried out, by MD simulation on structures of three, ∼thirty basepair long sequences, namely, d(G-3(CA4T4G)-C)2, d(G-3(CT4A4G)-C)2and d(T-GACTA5T-GACTA6T-GACTA5T-G). For each molecule, snapshots belonging to a particular global geometry (linear, curved, bent in a particular direction etc.) were grouped together, and the average values of the dinucleotide step parameters for different groups were compared. It was observed that for all the three molecules, the average values for groups corresponding to different global geometries were within 1of each other, indicating that ensemble average values of dinucleotide level parameters are incapable of predicting the global geometry of a DNA molecule. Study of the TraR-Trabox complex The study on DNA bending and curvature was followed by simulations of a protein-DNA complex comprising of the bacterial quorum sensing transcription factor TraR with its promoter region known as Trabox. Simulations of a protein-free wild-type Trabox and a Trabox with two mutations in the spacer region were also carried out. Grouping of DNA snapshots in all the three simulations based on average values of dinucleotide parameters in the spacer region shows how selection of the ‘right’ DNA geometry by proteins works at several levels. The number of snapshots of free mutated Trabox assuming a geometry favourable for protein-binding in terms of average twist alone are less than one-fourth of the corresponding number for free wild-type Trabox. When one applies further selection criteria in terms of other parameters such as roll and slide, the number of mutated Trabox snapshots with a geometry favourable for protein-binding drops to less than 0.5%ofthe total number of MD snapshots. Thus our results highlight how sequence-dependent changes in the structrure of DNA regions, adjacent to those that directly hydrogen-bond to proteins, can also critically influence processes such as transcription. General Conclusion Overall, our results indicate that intrinsic, sequence-dependent structural variations in free B-DNA allow it to sample a large volume of the double-helical conformational space, and assume global geometries that can accomodate most DNA-binding proteins.

Os projetos genoma têm fornecido uma grande quantidade de informação sobre a arquitetura gênica e sobre a configuração física de suas respectivas regiões flanqueadoras (RF). Estas RF contêm informações com o potencial de auxiliar na elucidação de vários processos biológicos, como os mecanismos de expressão gênica e de sua regulação. Estes mecanismos são de extrema importância para a compreensão do correto funcionamento dos organismos e das patologias que os afetam. Uma parte significativa dos mecanismos de controle de expressão gênica atuam na fase transcricional. Na base destes mecanismos está o recrutamento de proteínas que se ligam às regiões promotoras da transcrição, as quais são segmentos específicos de DNA que podem estar localizados tanto próximos à região de início da transcrição (TSS) quanto a centenas ou até a milhares de pares de bases dela. Essas proteínas compõem a maquinaria transcricional e podem ativar ou inibir o processo de transcrição. Experimentalmente, os segmentos regulatórios podem ser identificadas utilizando métodos complexos de biologia molecular, tais como SELEX, ChiP-ChiP, ChIP-Seq, dentre outros. Uma estratégia alternativa aos métodos experimentais é a utilização de metodologias computacionais. Análises computacionais tendem a ser mais rápidas, baratas e flexíveis do que protocolos experimentais, além de poderem ser utilizadas em larga escala. Atualmente, os métodos computacionais disponíveis necessitam de informações experimentais para a definição de padrões globais de preferências de sequências de DNA para a ligação de fatores de transcrição (TFBS, em inglês transcription factor binding sites). Entretanto, esses métodos apresentam uma elevada taxa de falso positivos e, por vezes, apresentam também taxas significativas de falso negativos, além de serem limitados ao estudo de fatores de transcrição de espécies bem conhecidas, o que diminui a área de aplicação dos mesmos. Diante deste cenário, o uso de métodos computacionais que não necessitem da informação referente aos sítios de ligação, bem como os que utilizem parâmetros mais robustos de detecção dos resultados, em detrimento dos escores de pontuação provindos de alinhamentos, podem acrescentar uma sensível melhoria ao processos de predição de regiões regulatórias. Neste projeto, foi desenvolvido um novo modelo computacional (TFBSAnalyzer) para análise e identificação de TFBS em elementos regulatórios, que utiliza técnicas de modelagem molecular para a construção de complexos entre um fator de transcrição ancorado a estruturas de DNA com sequências variáveis de bases e, através de cálculos termodinâmicos de entalpia de ligação, determina uma função de pontuação baseada na energia de ligação e realiza a predição de sítios de ligação ao DNA para o fator de transcrição em análise. Esta abordagem foi testada com três fatores de transcrição como sistemas-modelo, pertencentes à família dos receptores nucleares, a saber: o receptor de estrógeno ER-alfa (Estrogen Receptor Alpha), o receptor de ácido retinoico RAR-beta (Retinoid Acid Receptor Beta) e o receptor X retinóico RXR (Retinoid X Receptor). Os modelos previstos computacionalmente foram comparados aos dados experimentais disponíveis para estes receptores nucleares, os quais apresentaram as seguintes taxas de FP/FN: 10%/0 para RAR-beta e RXR, 21%/6% para ER-alfa. Também simulamos um experimento de ChIP-seq do ER-alfa no genoma humano, cujos genes selecionados foram submetidos a uma análise de enriquecimento de fatores de transcrição curados experimentalmente, que fazem sua regulação, revelando que o receptor de estrógeno está realmente envolvido no processo. Para mostrar a aplicabilidade geral de nosso método, nós modelamos a distribuição de energia de ligação para o receptor NHR-28 isoforma a de Caenorhabditis elegans com DNA . Obtivemos distribuições de energia semelhantes àquelas encontradas para os NRs modelos, portanto seria possível aplicar o método para buscar possíveis TFBSs para este receptor no genoma de C. elegans. Os dados gerados e as metodologias desenvolvidas neste projeto devem acrescentar uma sensível melhoria aos processos de predição de regiões regulatórias e consequentemente auxiliar no entendimento dos mecanismos envolvidos no processo de expressão gênica e de sua regulação. / The genome projects have provided a lot of information about the genetic architecture, as well as on the physical configuration of their flanking regions (FR). These FR have the potential to aid in the elucidation of many biological processes, such as the mechanisms involved in gene expression and its regulation. These mechanisms are extremely important for undeerstanfind the correct functioning of organisms as well as the pathologies that affect them. A significant part of the control mechanisms of gene expression act during transcription. On the basis of this mechanisms is the recruitment of proteins that bind to promoter regions of transcription, which are specific segments of DNA that can be located either near the transcription start site or at hundreds or even thousands of base pairs away. These proteins form the transcription machinery, which can activate or inhibit the transcription process. The regulatory segments can be identified experimentally using complex methods of molecular biology, such as SELEX, ChIP-chip, ChIP-seq, among others. An alternative strategy to these experimental methods is the use of computational methodologies for predicting regulatory regions. Computational analysis tend to be faster, cheaper and more flexible than the experimental protocols, and can be used on a larger scale. Currently, the available computational methods require information previously obtained from experiments in order to define global standards of preference of DNA-Binding sequences for transcription factors (TFBS - Transcription Factor Binding Sites). However, these methods have a high rate of false positives and sometimes also have significant rates of false negatives, besides being limited to the study of transcription factors of well-known species, which decreases their application area. In this scenario, the use of computational methods that do not require previous information concerning the binding sites and use more robust parameters of results detection, instead of alignment scores, may add significant improvement to the processes of predicting regulatory regions. In this project, we developed a new computational model TFBSAnalyzer) for analysis and identification of regulatory elements using molecular modeling techniques for the construction of complexes between a transcription factor bound to specific DNA structures with variable sequences of bases and, by means of thermodynamic calculations of bond enthalpy, provides a scoring function based on the binding energy and predicts the DNA binding sites for the transcription factor in analysis. This approach was tested initially with three transcription factors as models, belonging to the nuclear receptor family, namely estrogen receptor ER-alpha (Estrogen Receptor Alpha), the retinoic acid receptor RAR-beta (Retinoid Acid Receptor Beta) and the retinoic X receptor RXR (Retinoid X Receptor). The computationally predicted models were compared to experimental data available for these nuclear receptors, and presented the following rates of FP/FN: 10%/0 for RAR-beta and RXR, 21%/6% for ER-alpha. We also simulated an experiment of ChIP-seq with ER-alpha with the human genome, where the selected genes were subjected to a transcription factor enrichment analysis, with curated information, revealing that the estrogen receptor is indeed involved in their regulation. To show that our method has a general applicability, we modeled the binding energy distribution for the NHR-28 receptor, isoform a, from Caenorhabditis elegans. The energy distributions obtained were similar to the ones obtained for the model NR, so it would be possible to use the method and search for possible TFBS in the C. elegans genome. The data generated and the methodologies developed in this project should add a significant improvement to the prediction processes of regulatory regions and, consequently, help to understand the mechanisms involved in the gene expression process and its regulation.

STAT5 est une protéine de la signalisation cellulaire normale, qui peut jouer un rôle important dans la transformation, la survie et à la résistance aux inhibiteurs de tyrosine kinase des cellules tumorales. Son activation constitutive par phosphorylation est liée à la présence de protéines oncogéniques comme la protéine de fusion BCR/ABL1 (leucémie myéloïde chronique) ou de formes mutées de KIT (mastocytoses), par exemple. L’inhibition pharmacologique de STAT5 constitue donc un enjeu thérapeutique majeur pour plusieurs pathologies malignes. Nous avons réalisé la première modélisation et les simulations de dynamique moléculaire des principales formes de STAT5 : la forme monomérique cytoplasmique phosphorylée ou non, et la forme dimérique phosphorylée et liée à l’ADN. Nous avons caractérisé les propriétés dynamiques et le réseau allostérique intramoléculaire des monomères de STAT5. Les résultats générés montrent des variations structurales et dynamiques liées à la différence de séquence primaire des isoformes de STAT5 et/ou à la présence du groupement phosphate. Deux poches à la surface des protéines ont également été caractérisées. Leur localisation à proximité de voies de communication allostériques suggère que ces poches pourraient constituer des sites de modulation des fonctions de STAT5. Nous avons également caractérisé les liaisons hydrogènes entre les monomères constituant les dimères de STAT5 et leur reconnaissance de l’ADN. En outre, nous avons identifié des résidus clés aux interfaces entre les entités moléculaires, nous permettant de mieux comprendre les effets de mutations de STAT5 observées en clinique dans certaines pathologies malignes. / STAT5 is a protein involved in normal cell signalling that is crucial for transformation, survival and resistance to tyrosine kinase inhibitors of tumour cells. The constitutive phosphorylation activates STAT5 and is related to oncogenic proteins like the hybrid protein BCR/ABL1 (chronic myeloid leukaemia) or mutated KIT receptor (mastocytosis). The pharmacologic inhibition of STAT5 is thus a major therapeutic concern in several malignant pathologies. We performed the first modelling and molecular dynamics simulations of the main cellular species of STAT5: the cytoplasmic phosphorylated or unphosphorylated monomer, and the phosphorylated dimer bound to DNA. We characterized the dynamical properties and the intramolecular allosteric network of the monomers. The generated results show structural and dynamic variations linked to the primary sequence changes between the two STAT5 isoforms and/or to the phosphate group. Two pockets were characterized at the surface of STAT5. Their location at close proximity of allosteric communication pathways suggests new putative inhibition sites to modulate STAT5 functions. We also described the hydrogen bonds network between the monomers of the dimeric species and the recognition of the DNA. We identified key residues at the interfaces, allowing us to better understand the effects of clinically relevant STAT5 mutations observed in malignancies.

(In English) The reaction of highly reactive oxygen radicals with protein solvent-accessible residues can be utilized to map protein landscape. Fast photochemical oxidation of proteins (FPOP) is an MS- based technique, which utilizes highly reactive radical species to oxidize proteins and map protein surface or its interactions with their interaction partners. In this work, FPOP was employed to study protein-DNA interactions. First, a full-length of FOXO4-DBD was successfully expressed and purified. The ability of the protein to bind its DNA-response element was verified by electrophoretic and MS-based techniques, respectively. Optimal experimental conditions were achieved to oxidize the protein itself and in the presence of DNA, respectively. Oxidized samples were analyzed by bottom-up and top-down approach. In the bottom-up experiment, modification of individual residues was precisely located and quantified. Different extend of modification was observed for protein alone and in complex with DNA. To avoid experimental artifacts analyzing multiply oxidized protein, standard bottom up approach was replaced by a progressive top-down technology. Only a singly oxidized protein ion was isolated, and further fragmented by collision-induced dissociation (CID) and electron-capture dissociation (ECD),...

The EcoR124INT restriction-modification (R-M) system contains the genes HsdS3, HsdM and HsdR. S3 encodes the N-terminal domain of the wild-type S subunit and has been shown to dimerise in solution (Smith et al., 1998). Following purification of the subunits of the EcoR124INT R-M system, complexes of the methyltransferase S3/M and restriction endonuclease S3/M/R were formed and shown to have activity in vitro, methylating and hydrolysing a symmetrical DNA recognition sequence, respectively. The DNA mimic OCR (overcome classical restriction) protein inhibited the methyltransferase activity in vitro, with maximum inhibition at a 1: 2 molar ratio of (S3/M)2 to an ocr dimer. Dynamic light scattering (DLS), sedimentation equilibrium (SE) and sedimentation velocity (SV) experiments showed S3 to exist as a dimer and S11 (the central conserved domain of S) to exist as a tetramer in solution. M was found to be dimeric in solution, whilst the R protein was monomeric. A complex of S3/M was found to have a stoichiometry (S3/M)2 and a complex of S3/M/R had a stoichiometry of S3/M/R1, even when a 2: 1 molar ratio of R to S3/M, was added. Small angle neutron scattering (SANS) experiments provided values for the radius of gyration (Rg), which for S3 was comparable to that calculated for the recently published crystal structure of the S subunit from Methanococcus jannaschii (Kim et al., 2005). These experiments also showed a decrease in the Dmax in the presence of the 30 bp DNA recognition sequence from 200A to 140A, suggesting a similar conformational change in the positioning of the subunits as has been detected for the wild-type M. EcoR124I and a related type 1 1/2 system AhdI. This change following DNA binding was also observed by SV experiments. Furthermore ab initio modelling from the SANS data has provided a low-resolution structure for the EcoR124INT MTase and its complex with DNA.

L’élucidation des interactions non-covalentes des complexes biologiques revêt d’une importance majeure dans la compréhension du fonctionnement cellulaire. L’objectif de ce travail de thèse est d’approfondir les développements de la spectrométrie de masse (MS) pour l’étude de ces complexes, que ce soit par MALDI-MS (la désorption-ionisation laser assistée par matrice) ou par ESI-MS (l’ionisation électrospray). Ce travail s’est articulé autour de trois axes : i) étude de la stœchiométrie et de la topologie du complexe SAGA HAT (Spt-Ada-Gcn5 Acétyltransferase, module Histone Acétyl Transferase) par pontage chimique couplé à la MS ; ii) suivi de la dimérisation des complexes formés par RAR-RXR (récepteur de l’acide rétinoïque - récepteur X des rétinoïdes) avec différents ADNs ; iii) mesure de la constante de dissociation des complexes RXR-ligand. Les méthodologies développées ont permis de repousser le potentiel de la MS et d’obtenir des informations structurales des complexes biologiques. / Elucidation of non-covalent interactions of biological complexes takes on great importance for the understanding of cellular function. The purpose of this thesis is a further development of mass spectrometry (MS) for the study of these complexes, either by MALDI-MS (matrix-assisted laser desorption-ionization) or by ESI-MS (electrospray ionization). This work was focused on three main lines: i) study of the stoichiometry and the topology of SAGA HAT (Spt-Ada-Gcn5 Acetyltransferase, Histone Acetyl Transferase module) complex by chemical cross-linking coupled to MS; ii) monitoring the dimerization of the complexes formed by RAR-RXR (retinoic acid receptor - retinoid X receptor) with different DNAs; iii) measuring the dissociation constant of RXR-ligand complexes. The developed methodologies made it possible to expand the potential of MS and get insight into structure of biological complexes.