The subiculum is a structure that forms a bridge between the hippocampus and the entorhinal cortex (EC) in the brain, and plays a major role in the memory consolidation process. It consists of different types of pyramidal neurons. Based on their firing behavior, these excitatory neurons are classified into strong burst firing (SBF), weak burst firing (WBF) and regular firing (RF) neurons. In the first part of the work, morphological differences in the different neuronal subtypes was explored by biocytin staining after classifying the neurons based on the differences in electrophysiological properties. Detailed morphological properties of these three neuronal subtypes were analyzed using Neurolucida neuron reconstruction method. Unlike the differences in their electrophysiological properties, no difference was found in the morphometric properties of these neuronal subtypes. In the second part of the thesis, experimental results on spike- timing- dependent plasticity (STDP) at the proximal excitatory inputs on the subicular pyramidal neurons of the juvenile (P15-P19) rat are described. The STDP was studied in the WBF and RF neurons. Causal pairing of a single EPSP with a single back propagating action potential (bAP) at a time interval of 10 ms failed to induce plasticity. However, increasing the number of bAPs in such EPSP-bAP pair to three at 50 Hz (bAP burst) induced LTD in both, the RF, as well as the WBF neurons. Increasing the frequency of action potentials to 150 Hz in the bAP burst during causal pairing also induced LTD in both the neuronal subtypes. However, all other STDP related experiments were performed only with the bAP bursts consisting of 3 bAPs evoked at 50 Hz. Amplitude of the causal pairing induced LTD decreased with increasing time interval between EPSP and the bAP burst. Reversing the order of the EPSP and the bAP burst in the pair induced LTP only with a short time interval of 10 ms. This finding is in contrast to most of the reports on excitatory synapses, wherein the pre-before post (causal) pairing induced LTP and vice-versa. The results of causal and anti-causal pairing were used to plot the STDP curve for the WBF neurons. In the STDP curve observed in these synapses, LTD was observed upto a causal time interval of 30 ms, while LTP was limited to 10 ms time interval. Hence, the STDP curve was biased towards LTD. These results reaffirm the earlier observations that the relative timing of the pre- and postsynaptic activities can lead to multiple types of STDP curves. Next, the mechanism of non-Hebbian LTD was studied in both, the RF and WBF neurons. The involvement of calcium in the postsynaptic neuron in plasticity induction was studied by chelating intracellular calcium with BAPTA. The results indicate that the LTD induction in WBF neurons required postsynaptic calcium, while LTD induction in the RF neurons was independent of postsynaptic calcium. Paired pulse ratio (PPR) experiments suggested the involvement of a presynaptic mechanism in the induction of LTD in the RF neurons, and not in the WBF neurons since the PPR was unaffected by the induction protocol only in the WBF neurons. LTD induction in the WBF neurons required activity of the NMDA receptors since LTD was not observed in the presence of the NMDA receptor blocker in the WBF neurons, while it was unaffected in the RF neurons. However, the RF neurons required the activity of L-type calcium channels for plasticity induction, since LTD was affected in the presence of the L-type calcium channel blockers, although the WBF neurons did not require the L-type calcium channel activity for plasticity induction. Hence, in addition to a non-Hebbian STDP curve, a novel mechanism of LTD induction has been reported, where L-type calcium channels are involved in a synaptic plasticity that is expressed via change in the release probability. The findings on the STDP in subicular pyramidal neurons may have strong implications in the memory consolidation process owing to the central role of the subiculum and LTD in it.

This thesis is concerned with the first ever X-ray crystallographic and complimentary solution studies on mycobacterial lectins. Lectins, described as multivalent carbohydrate binding proteins of non-immune origin, are found in all kingdoms of life. As explained in the introductory chapter, those from plants and animals are the best characterized in terms of structure and function. Although not that extensive, important studies have been carried out on viral, fungal and parasite lectins as well. Bacterial lectins studied so far can be classified in to fimbrial, surface and secretory (or toxic). Applications of lectins include blood typing, cell separation and purification of glycoconjugates, mitogenic stimulation of lymphocytes, mapping of neuronal pathways and drug targeting and delivery. The work reported in the thesis lies at the intersection of two major long range programs in this laboratory, one on lectins and the other on mycobacterial proteins. Three putative lectins Rv1419 and Rv2813 from M. tuberculosis and MSMEG_3662 from M. smegmatis were chosen for exploratory studies on the basis of preliminary genomic searches. Exploratory studies on Rv1419, Rv2813 and MSMEG_3662 are described in the second chapter. MSMEG_3662 contains two domains, a LysM domain and a lectin domain (MSL) connected by a long polypeptide chain. The two M. tuberculosis proteins, full length MSMEG_3662 and MSL were cloned, expressed, purified and characterized. Rv2813 did not show any appreciable agglutination activity. It showed ATPase activity. Clearly the protein was not a lectin. Rv1419, full length MSMEG_3662 and MSL exhibited lectin characteristics. Among them, Rv1419 and MSL could be crystallized. Preliminary X-ray diffraction studies on them were carried out. Rv1419 could be successfully expressed only once. However, that was enough for the determination of crystal structure and the glycan array analysis of the lectin (Chapter 3). The monomeric lectin has a β-trefoil fold. It has high affinity for LacNAc and its Neu5Ac derivatives. Modeling studies using complexes of homologous structures, led to the identification of two carbohydrate binding sites on the lectins. Sequence comparisons of Rv1419 with homologous proteins with known structures and phylogenetic analysis involving them provide interesting insights into the relationship among trefoil lectins from different sources. X-ray crystal structure analysis of MSL and its complexes with mannose and methyl-α-mannose, the first comprehensive effort of its kind on a mycobacterial lectin, reveals a structure very similar to β-prism II fold lectins from plant sources, but with extensive unprecedented domain swapping in dimer formation (Chapter 4). The two subunits in a dimer often show small differences in structure, but the two domains, not always related by 2-fold symmetry, have the same structure. Each domain carries three sugar-binding sites, similar to those in plant lectins, one on each Greek key motif. The occurrence of β-prism II fold lectins in bacteria, with characteristics similar to those from plants, indicates that this family of lectins is of ancient origin and had evolved into a mature system before bacteria and plants diverged. In plants, the number of binding sites per domain varies between one and three, whereas the number is two in the recently reported lectin domains from Pseudomonas putida and Pseudomonas aeruginosa. An analysis of the sequences of the lectins and the lectin domains shows that the level of sequence similarity among the three Greek keys in each domain has a correlation with the number of binding sites in it. Furthermore, sequence conservation among the lectins from different species is the highest for that Greek key which carries a binding site in all of them. Thus, it would appear that carbohydrate binding influences the course of the evolution of the lectin. LysM domains have been recognized in bacteria and eukaryotes as carbohydrate-binding protein modules, but the mechanism of their binding to chitooligosaccharides is underexplored. Binding of a full length MSMEG_3662 containing LysM and lectin (MSL) domains to chitooligosaccharides has been studied using isothermal titration calorimetry and fluorescence titration (Chapter 5). This investigation demonstrates the presence of two binding sites of non-identical affinities per dimeric MSL-LysM molecule. Affinity of the molecule for chitooligosaccharides correlates with the length of the carbohydrate chain. Its binding to chitooligosaccharides is characterized by negative cooperativity in the interactions of the two domains. Apparently, the flexibility of the long linker that connects the LysM and MSL domains plays a facilitating role in this recognition. The LysM domain in MSL-LysM, like other bacterial domains but unlike plant LysM domains, recognizes equally well peptidoglycan fragments as well as chitin polymers. Interestingly, in the present case two LysM domains are enough for binding to peptidoglycan in contrast to the three reportedly required by the LysM domains of Bacillus subtilis and Lactococcus lactis. Also, the affinity of MSL-LysM for chitooligosaccharides is higher than that of LysM-chitooligosaccharide interactions reported so far. A part of the work presented in this thesis has been reported in the following publications: • Patra D, Mishra P, Surolia A, Vijayan M. 2014. Structure, interactions and evolutionary implications of a domain-swapped lectin dimer from Mycobacterium smegmatis. Glycobiology, 24:956-965. • Patra D, Sharma A, Chandran D, Vijayan M. 2011. Cloning, expression, purification, crystallization and preliminary X-ray studies of the mannose-binding lectin domain of MSMEG_3662 from Mycobacterium smegmatis. Acta Crystallogr Sect F Struct Biol Cryst Commun, 67:596-599. • Patra D, Srikalaivani R, Misra A, Singh DD, Selvaraj M, Vijayan M. 2010. Cloning, expression, purification, crystallization and preliminary X-ray studies of a secreted lectin (Rv1419) from Mycobacterium tuberculosis. Acta Crystallogr Sect F Struct Biol Cryst Commun, 66:1662-1665.

Small heat shock proteins (sHSPs) are a ubiquitous family of molecular chaperones that play a vital role in maintaining protein homeostasis in cells. They are the first line of defence against the detrimental effects of cellular stress conditions like fluctuations in temperature, pH, oxidative and osmotic potentials, heavy metal toxicity, drought and anoxia. Many sHSPs are also constitutively expressed during developmental stages of different plant tissues. Members of this family are ATP-independent chaperones, with monomeric masses varying from 12-40 kDa. A characteristic feature of sHSPs is their ability to assemble into large oligomers, ranging from dimers to 48-mers. Under stress conditions, these oligomers dissociate and/or undergo drastic conformational changes to facilitate their binding to misfolded substrate proteins in the cell. This interaction prevents the substrate from aggregating during stress. When physiological conditions are restored, the substrates are transferred to other ATP-dependent heat shock proteins for refolding. Thus sHSPs do not refold their substrates, but instead prevent them from aggregating and maintain them in a „folding-competent‟ state. The clientele of sHSPs includes proteins with a wide range of molecular masses, secondary structures and pIs. This promiscuity has led to sHSPs occupying key positions in the protein quality control network. As molecular chaperones that protect proteins, sHSPs prevent disease. Concomitantly, mutations in sHSPs have also been linked to various human diseases. Till date, high resolution crystal structures are available only for 3 sHSP oligomers. This insufficiency of structural information has hindered our understanding of the mechanism of chaperone function, the link between the oligomeric status and chaperone activity, identification of substrate binding sites and the role of the flexible terminal segments in mediating both the oligomerization and chaperone function. We undertook structural and functional characterization of plant and bacterial sHSPs in order to address some of these questions. Chapter 1 of this thesis gives an overview of the sHSP family, with special emphasis on the oligomeric assemblies of sHSPs of known structures. We highlight what we know about this family through mutational studies, what is as yet unknown, and why it is important to study this family. Chapter 2 describes our efforts at structural and functional characterization of 5 sHSPS in rice, each targeted to a different organelle. We probed the role played by the N-terminal region in mediating oligomer assembly and in the chaperone activity of the protein. Rice sHSPs displayed a wide range of hydrodynamic radii, from 4 nm to 14 nm, suggesting that their oligomeric assemblies are likely to be diverse. In chapter 3, we discuss our attempts at the structural characterization of a bacterial sHSP, Aggregation suppressing protein A, or AgsA from Salmonella enterica. We obtained a high resolution crystal structure of the dimer of the core sHSP domain. We compared this dimer with other known sHSP dimers, reported the deviations that we observed and analysed the structure to account for these differences. We used this dimer structure to successfully obtain solutions for low resolution X-ray diffraction data for oligomers of different truncated constructs of AgsA. We observed that a C-terminal truncated construct formed an octahedral 24¬mer (4.5 Å resolution), whereas a construct truncated at both termini formed a triangular bipyramidal 18-mer (7.7 Å resolution), an assembly hitherto unobserved for any sHSP. A similar 18-mer was obtained when the C-terminal truncated construct was incubated with a dipeptide prior to crystallisation (6.7 Å resolution). The cryo-EM map of the wild type protein (12 Å resolution) could be fitted with a different 18-mer. The low resolution of the data pre-empted an atomic-level description of the interfaces of the assemblies. However, our work highlights the structural plasticity of this protein and probes the sensitivity of the oligomeric assembly to minor differences in construct length.

Mycobacterium tuberculosis (M.tb), the causative agent of tuberculosis (TB), has remained the largest killer among infectious diseases for over a century. The increasing emergence of drug resistant varieties such as the multidrug resistant (MDR) and extremely drug resistant (XDR) strains are only increasing the global burden of the disease. Available statistics indicate that nearly one-third of the world’s population is infected, where the bacteria remains in the latent state but can reactivate into an actively growing stage to cause disease when the individual is immunocompromised. It is thus immensely important to rethink newer strategies for containing and combating the spread of this disease. Extraction of iron from the host cell is one of the many factors that enable the bacterium to survive in the harsh environments of the host macrophages and promote tuberculosis. Host–pathogen interactions can be interpreted as the battle of two systems, each aiming to overcome the other. From the host’s perspective, iron is essential for diverse processes such as oxygen transport, repression, detoxification and DNA synthesis. Infact, during infection, both the host and the pathogen are known to fight for the available iron, thereby influencing the outcome of the infection. It is of no surprise therefore, that many studies have investigated several components of the iron regulatory machinery of M.tb and the host. However, very few attempts have been made to study the interactions between these components and how such interactions lead to a better adapted phenotype. Such studies require exploration at multiple levels of structural and functional complexity, thereby necessitating the use of a multiscale approach. Systems biology adopts an integrated approach to study and understand the function of biological systems. It involves building large scale models based on individual biochemical interactions, followed by model validation and predictions of the system’s response to perturbations, such as a gene knock-out or exposure to drug. In multiscale modeling, an approach employed in this thesis, a particular biological phenomenon is studied at different spatiotemporal levels. Studying responses at multiple scales provides a broader picture of the communications that occur between a host and pathogen. Moreover, such an analysis also provides valuable insights into how perturbation at a particular level can elicit responses at another level and help in the identification of crucial inter-level communications that can possibly be hindered or activated for a desired physiological outcome. The broad objectives of this thesis was to obtain a comprehensive in silico understanding of mycobacterial iron homeostasis and metabolism, the influence of iron on host-pathogen interactions, identification of key players that mediate such interactions, determination of the molecular consequences of inhibiting the key players and finally the global response of M.tb to altered iron concentration. Perturbation of iron homeostasis holds a strong therapeutic potential, given its essentiality in both the host and the pathogen. Understanding the workings of iron metabolism and regulation in M.tb has been a main objective, so as to ultimately obtain insights about specific therapeutic strategies that capitalize on the criticality of iron concentration. An in-depth study of iron metabolism and regulation is performed at different levels of temporal and spatial scales using diverse methods, each appropriate to investigate biological events associated with the different scales. The specific investigations carried out in the thesis are as follows, a) Reconstruction of a host-pathogen interaction (HPI) model, with focus on iron homeostasis. This study represented the inter-cellular level analysis and was crucial for the identification of key players that mediate communication between the host and pathogen. Additionally, the model also provided a mathematical framework to study the effect of perturbations and gene knock-outs. b) Understanding the influence of iron on IdeR, an iron-responsive transcription factor, also identified as a key player in the HPI model. The study was carried out at the molecular level to identify atomistic details of how IdeR senses iron and the resulting structural modifications, which finally enables IdeR-DNA interaction. The study enabled identification of residues for the functioning of IdeR. c) Genome scale identification of genes that are regulated by IdeR to obtain an overview of the various biological processes affected by changing iron concentrations and IdeR mutation in M.tb. d) To understand the direct and indirect influences of iron and IdeR on the M.tb proteome using large scale protein-protein interaction network. The study enabled identification of highest differentially regulated genes and altered activity of the different biological processes under differing iron concentrations and regulation. e) Systems level analysis of the M.tb metabolome to investigate the metabolic re-adjustments undertaken by M.tb to adapt to altered iron concentration and regulation. The conceptual details and the background of each of the methods used to study the specific aims are provided in the Methodology chapter (Chapter 2). Construction of the host-pathogen interaction (HPI) model and the insights obtained from this study are presented in Chapter 3. A rule based HPI model was built with a focus on the iron regulatory mechanisms in both the host and pathogen. The model consisted of 194 rules, of which 4 rules represented interactions between the host and pathogen. The model not only represented an overview of iron metabolism but also allowed prediction of critical interaction that had the potential to form bottleneck in the system so as to control bacterial proliferation. Infact, model simulation led to the identification of 5 bottlenecks or chokepoints in the system, which if perturbed, could successfully interfere with the host-pathogen dynamics in favour of the host. The model also provided a framework to test perturbation strategies based on the bottlenecks. The study also established the importance of an iron responsive transcription factor, IdeR for regulating iron concentration in the pathogen and mediating host-pathogen interactions. Additionally, the importance of mycobactin and transferrin as key molecular players, involved in host-pathogen dynamics was also determined. The model provided a mathematical framework to test TB pathogenesis and provided significant insights about key molecular players and perturbation strategies that can be used to enhance therapeutic strategies. Given the importance of IdeR in HPI, its molecular mechanism of activation and dimerization was explored in Chapter 4. The main objective of the study was to explore the structural details of IdeR and its iron sensing capacity at the molecular level. A combination of molecular dynamics and protein structure network (PSN) were used to analyse IdeR monomers and dimers in the presence and absence of iron. PSNs used in this thesis are based on non-covalent interactions between sidechain atoms and are quite efficient in identifying iron induced subtle conformational variations. The study distinctly indicated the role of iron in IdeR stability. Further, it was observed that IdeR monomers can take up two major conformations, the ‘open’ and ‘close’ conformation with the iron bound structure preferring the ‘close’ conformation. Major structural changes, such as the N-terminal folding and increased propensity for dimerization were observed upon iron binding. Interestingly, careful analysis of structure suggests a role of these structural modifications towards DNA binding and has been tested in the next chapter. Overall, the results clearly highlight the influence of iron on IdeR activation and dimerization. The predisposition of IdeR to bind to DNA in the presence of metal is clearly visible even when the simulations are performed solely on protein molecules. However, to confirm the conjectures proposed in this chapter and to obtain the atomistic details of IdeR-DNA interactions, the IdeR-DNA complex was investigated. Chapter 5 focuses on the mechanistic details of IdeR-DNA interactions and the influence of iron on the same. IdeR is known to bind to a specific stretch of DNA, known as the ‘iron-box’ motif to form a dimer-of-dimer complex. Molecular dynamics followed by protein-DNA bipartite network analysis was performed on a set of four IdeR-DNA complexes to obtain a molecular level understanding of IdeR-DNA interactions. A striking observation was the dissociation of IdeR-DNA complex in the absence of iron, undoubtedly establishing the importance of iron for IdeR-DNA binding. At the residue level, hydrogen bond and non-covalent interactions clearly established the importance of N-terminal residues for DNA binding, thereby confirming the conjecture put forth in the previous chapter. An important aspect studied in this chapter is the allosteric nature of IdeR-DNA binding. Recent years have witnessed a paradigm shift in the understanding of allostery. Unlike the classical definition of allostery that was based on static structures, the newer definition is based on the conformational ensemble as represented by the shift in the energy landscape of the protein. The allosteric nature of IdeR-DNA complex was probed using simulated trajectories and indeed they suggest iron to be an allosteric regulator of the protein. Finally, based on the known experimental data and observations presented in Chapters 4 and 5, a multi-step model of IdeR activation and DNA binding has been proposed. In chapter 6, a global perspective of IdeR regulation in M.tb was obtained. This was important to gain insights about the influences of iron and its regulation at the M.tb cellular level. A genome scale identification of all possible IdeR targets based on the presence of ‘iron-box’ motif in the promoter region of the genes was carried out. An interesting aspect of this study was the use of energetic information from previous molecular dynamics study as an input for generation of the motif. A total of 255 such IdeR targets were identified and converted into an IdeR target network (IdeRnet). Along with IdeRnet, an unbiased systems level protein-protein interaction network was also generated. To study the response of the pathogen to external perturbations, iron-specific gene expression data was integrated into the network as node weights and edge weights. Analysis of IdeRnet provides interesting associations between fatty acid metabolism and IdeR regulations. Specific genes such as fadD32, DesA3 or lppW have been found to be affected by IdeR mutation. While IdeRnet discusses the direct associations, the global level responses are monitored by analysing pathways for the flow of information in the protein-protein interaction network (PPInet). Comparisons of the PPInets under conditions such as altering iron concentrations and lack of iron homeostasis led to the identification of the ‘top-most’ active paths under the different conditions. The study clearly suggests a halt in the protein synthesis machinery and decreased energy consumption under iron scarcity and an uninhibited consumption of energy when iron homeostasis is perturbed. In the final chapter (Chapter 7), flux balance analyses has been used to investigate the influence of iron on M.tb metabolism. The importance of iron for metabolic enzymes has already been established in the previous chapter. Additionally, M.tb is known to produce siderophores, an important metabolite that requires amino acids as its precursors, for iron extraction. All this, together highlighted the importance of iron and its regulation of M.tb metabolism. Flux balance analysis has been used previously to study the metabolic alterations that occur in an organism under different conditions. For this study, iron specific gene expression data was also incorporated into the model as reaction bounds and the flux values so obtained were compared in different environmental conditions. The study provided valuable insights into the metabolic adjustments taken up by M.tb under iron stress conditions and correlates well with the responses observed from the interactome as well as experimental observations. Most significantly, changes were observed in the energy preferences of the cell. For instance, it was noted that while the wild type strain of M.tb prefers synthesis of ATP via glycolysis, the IdeR mutant strain preferred oxidative phosphorylation. The picture becomes clearer when one accounts for the uncontrolled utilization of energy and rapid activation of protein synthesis machinery in the IdeR mutant strain. Biological systems are inherently multiscale in nature and therefore for a successful drug target regime, analysis of the genome to the phenome, which captures interactions at multiple levels, is essential. In this thesis, a detailed understanding of iron homeostasis and regulation in M.tb at multiple levels has been attempted. More importantly, insights obtained from one level, formed questions in the next level. The study was initiated at the inter-cellular level, where the influence of iron on HPI was modeled and analysed. From this study, IdeR, an iron-responsive transcription factor was identified as a key player that had the potential to alter host-pathogen interactions in the favour of the host. For a complete understanding of how IdeR regulates iron homeostasis, it was imperative to obtain a molecular level insight of its mechanism of action. Finally, the various aspects of IdeR regulation were investigated at the cellular level by analysing direct and indirect influences of IdeR on M.tb proteome and metabolome. The study suggests certain therapeutic interventions, such as 1) reduction in the concentration of free transferrin various, 2) mutations at the N-terminal sites of IdeR, 3) regulation of proteins involved in production of mycolic acids by iron and 4) perturbation of altering energy sources, which capitalize on iron and should be investigated in detail. In summary, the consequences of iron on TB infection were studied by threading different levels. This is based on the belief that most biological functions involve multiple spatio-temporal levels with frequent cross talks between the different levels, thereby making such multiscale approaches very useful.

Regulation of transcription in prokaryotes is primarily governed at the transcription initiation step. This feature has been extensively characterized in model prokaryotes notably Escherichia coli and Bacillus subtilis. Transcription initiation was initially thought to be governed primarily by initiation factors that recruit the RNA polymerase (RNAP) enzyme to initiate expression of given gene. Recent studies reveal multiple mechanisms at play including additional protein factors that can modulate gene expression. Nonetheless, understanding transcription factors is key to rationalize the nuanced changes in prokaryotic gene expression in response to diverse environmental stimuli. This is particularly relevant in the case of the human pathogen, Mycobacterium tuberculosis, especially due to the ability of this bacterium to survive in the host, often for several decades prior to the onset of the disease. Transcription initiation factors, also called σ factors in prokaryotes, are diverse in size and sensory/regulatory mechanisms. Indeed, the number of alternate σ factors vary substantially from six in E. coli to more than 118 in Plesiocystis pacifica. The large number of alternative σ factors has been suggested to be correlated with the diversity of micro-environments experienced by a bacterial cell. Studies on several prokaryotic σ factors reveal common features in these proteins that was not evident earlier due to poor sequence conservation. A central theme that emerges from these studies is that a minimalistic architecture of two domains can recognize promoter DNA and recruit the RNAP enzyme to initiate transcription. Additional domains are required when certain promoter elements are missing or to enable a specific, context dependent regulatory mechanism. The work reported in this thesis was influenced by previous studies in this laboratory and elsewhere on M. tuberculosis σ factors. While these studies revealed multiple features of transcription initiation, several aspects of this mechanism, including some classes of σ factors remain to be examined. The focus of this study was to examine an under-explored sub-group of σ factors, classified as the ECF41 sub-group. This sub-group has an additional domain at the Carboxy-terminus that has been hypothesised to influence σ factor activity. Towards this goal, M. tuberculosis σJ was examined. Previous studies suggested a role for this σ factor in modulating the response to hydrogen peroxide stress. An intriguing feature based on sequence analysis was that neither did this extra-cytoplasmic function σ factor have an anti-σ factor that can respond to oxidative stress nor was it directly associated with a mechanism to sense oxidative stress. The specific goal of the research described here was to understand the structural and mechanistic features that govern σJ activity. This thesis is organized as follows- The first chapter provides a brief introduction to prokaryotic transcription and regulatory mechanisms that govern this process. This chapter also has the literature necessary to phrase the problem in characterizing this family of proteins with particular reference to the unique physiology of Mycobacterium tuberculosis. A summary of the previous work is provided in this chapter to place the current study in context of previous studies and highlight the lacunae in our understanding of the transcription mechanism in M. tuberculosis. Chapter two describes the structural characterization of M. tuberculosis σJ by single-crystal X-ray diffraction. The poor sequence similarity of σJ to known σ factors precluded efforts to obtain phase information by molecular replacement methods. Here we also describe the steps that were essential to obtain diffraction quality crystals and the subsequent steps to account for pseudo-merohedral twinning, an imperfection that could have potentially been a limitation for structure determination. The crystal structure of σJ provide an example of successful phase determination with data collected on near-perfectly twinned crystals using single-wavelength anomalous dispersion. Chapter three describes computational efforts to understand the regulatory mechanisms of M. tuberculosis σJ. Classical Molecular Dynamics (MD) simulations were performed to understand the role of a C-terminal SnoaL_2 domain in this transcription factor. The MD simulations suggest that the C-terminal SnoaL_2 domain limits inter-domain movements between σJ2 (the pribnow box binding domain) and σJ4 (the -35 promoter element binding domain) and confers a compact three domain organization to this protein. The biochemical and functional characterization of M. tuberculosis σJ is described in chapter four. This includes in vitro studies on σJ and cognate promoter DNA interactions performed using Surface Plasmon Resonance (SPR) and Electrophoretic Mobility Shift Assays (EMSA). The ex vivo reporter based experiments to examine the effect of SnoaL_2 domain on σJ activity are also described. Spectroscopic studies on σJ interactions with a small molecule limonene-1,2-epoxide suggested a potential novel role for the SnoaL_2 domain in σJ. Chapter five summarizes the work on M. tuberculosis σJ reported in this thesis. We note that this study opens up a new perspective to understand σ factors. In particular, M. tuberculosis σJ suggests that the domain organization is likely to be retained in ECF41 sub-group of σ factors. This study also hints at broader implications in the distinction between one-component systems and transcription factors. Bioinformatic analysis suggest that observations similar to that noted in M. tuberculosis σJ are likely to be more widespread across diverse phyla than currently acknowledged. This thesis has three annexures. Annexure-I summarizes experimental details of the work performed on the M. tuberculosis σ/anti-σ factor complex σH/RshA. Annexure-II summarizes experimental details and strategies that could not be incorporated in the main body of this thesis. Annexure-III describes a short project performed on a bi-domain protein tyrosine phosphatase PTP99A.

Mycobacterium tuberculosis, the etiological agent of tuberculosis, has adapted with the host environment and evolved to survive in harsh conditions in the host. The pathogen has successfully evolved strategies not only to evade the host immune system but also to thrive within the host cells. Upon infection, the pathogen is either cleared due to the host immune response, or it survives and causes active tuberculosis (TB) infection. In a number of cases however, the pathogen is neither killed nor does it actively proliferate, but it remains dormant in the host until the environment becomes favorable. This dormant state of pathogen is responsible for latent TB infection (LTBI). WHO reports indicated that as much as a third of the whole world’s population is exposed to the pathogen, of which a significant proportion could be latently infected (WHO report, 2015). These individuals do not show symptoms of active TB infection and hence are difficult to detect. The latent TB infected (LTBI) individuals serve as a reservoir for the pathogen, which can lead to epidemics when the conditions change. Hence, it is necessary to understand the host -pathogen interactions during LTBI, as this might provide clues to developing new strategies to detect and curb a latent infection. Host-pathogen interactions are multifaceted, in which both species attempt to recognize and respond to each other, all of these through specific molecules making distinct interactions with the other species. The outcome of the infection is thus decided by a complex set of host-pathogen interactions. The complexity arises since a large number of molecular components are involved, also multiplicity of interactions among these components and due to several feedback, feed forwards or other regulatory or influential loops within the system. The complexity of biological systems makes modeling and simulation an essential and critical part of systems– level studies. Systems biology studies provide an integrated framework to analyze and understand the function of biological systems. This work addresses some of these issues with an unbiased systems-level analysis so as to identify and understand the important global changes both in the host and in the pathogen during LTBI. The broad objectives of the work was to identify the key processes that vary in the host during latent infection, the set of metabolic reactions in the host which can be modulated to control the reactivation of infection, global adaptation in Mycobacterium tuberculosis (Mtb) and then to utilize this knowledge to identify strategies for tackling latent infection. A review of literature of the current understanding of latency from the pathogen and the host perspective is described in chapter 1. From this, it is clear that most available studies have focused on the role of individual molecules and individual biological processes such as granuloma formation, toll-like receptor signaling, T cell responses as well as cytokine signaling, in either initiating or maintaining a latent infection, but there is no report till date about whether and how these processes are connected with each other. While transcriptome based studies have identified lists of differentially expressed genes in LTBI as compared to healthy controls, no further understanding is currently available for many of them, regarding the processes they may be involved in and what interactions they make, which may be important for understanding LTBI. The first part of the work is a systematic meta-analysis of genome-scale protein interaction networks rendered condition-specific with transcriptome data of patients with LTBI, which has provided a global unbiased picture of the transcriptional and metabolic variations in the host and in the pathogen during the latent infection. To start with, publicly available gene expression data related to LTBI, active TB and healthy controls were considered. In all, 183 datasets summing up to 105 LTBI, 41 active TB and 37 healthy control samples were analyzed. (Chapter 2). Standard analysis of the transcriptome profiles of these datasets indicated that there was zero overlap among them and that not a single gene was seen in common among all datasets for the same condition. An extensive human protein-protein interaction network was constructed using information available from multiple resources that comprehensively contained structural or physical interactions and genetic interactions or functional influences. Nodes in this network represented individual proteins and edges represented interactions between pairs of nodes. The identity of each node and the nature of interaction of each edge along with the type of evidence that was used as the basis for drawing the edge, was collated for the network. The gene expression data was integrated into the human protein-protein interaction (PPI) network for each condition, which essentially had weighted nodes and directed edges, specific to that condition, from which specific comparative networks were derived. The highest ranked perturbations in LTBI were identified through a network mining protocol previously established in the laboratory. This involved computing all versus all shortest paths on the comparative network, scoring the paths based on connectedness and various centrality measures of the nodes and the edges and finally ranking the paths based on the cumulative path scores. Intriguingly, the top-ranked set of perturbations were found to form a connected sub-network by themselves, referred to as a top perturbed sub-network (top-net), indicating that they were functionally linked or perhaps even orchestrated in some sense. Th17 signaling appears to be dominant. About 40 genes were identified in the unique set of LTBI condition as compared to the active TB condition, and these genes showed enrichment for processes such as apoptosis, cell cycle as well as natural killer cell mediated toxicity. Construction and analysis of a miRNA network indicated that 32 of these have strong associations with miRNA explaining the role of the latter in controlling LTBI. 3 other genes from the top-net are already established drug targets for different diseases with known drugs associated with them, which are BCL2, HSP90AA1 and NR3C1. These 3 proteins can be explored further as drug targets in LTBI whose manipulation using existing drugs may result in inhibiting the underlying biological process and thereby result in disturbing the state of latency. As a second objective, global variations in the host transcriptome were identified during ascorbic acid induced dormancy (Chapter 3). Ascorbic acid or Vitamin C is a nutrient supplement required in the diet. This organic compound has a known antioxidant property, as it is known to scavenge the free radicals. In a recent study, Taneja et al, demonstrated that Vitamin C could induce dormancy in Mtb. On similar lines, experiments were done in THP-1 cells infected with Mtb to determine the host responses during ascorbic acid (AA) induced dormancy. The raw gene expression data was provided by our collaborator Prof. Jaya Tyagi that included 0 hour, 4 days and 6 days time points with infection and vitamin C versus infection alone or vitamin C alone as controls. The transcriptome data was normalized and integrated into the human PPI network as described for the meta-analyses. It was experimentally determined that ascorbic acid induces dormancy in 4 days post infection. The top-ranked paths of perturbation were analyzed and compared for three different conditions: (i) uninfected condition, (ii) AA treated and infected condition, and (iii) AA, isoniazid and infected condition. The dormant pathogen is known to be drug-tolerant and thus as a marker for the state of dormancy, the lack of effect of isoniazid is also monitored in the infected host cells. The analysis revealed that there were some broad similarities as compared to LTBI from patient samples but AA induced dormancy in cell lines stood out a separate group indicating that there were significant differences such as involving Interferon Induced Transmembrane Proteins (IFITMs), vacuolar ATPase as well as GDF15, which belongs to TGF-beta signaling pathway. The highest ranked perturbed paths contained genes involved in innate immune responses of which ISG15, IFITMs, HLAs and ATPases emerge as the most altered in the dormant condition. CCR7 emerges as a key discriminator, which is subdued in the latent samples but highly induced in infection conditions. Pathway-based analysis of different conditions showed that oxidative stress, glutathione metabolism, proteasome degradation as well as type II interferon signaling are significantly up-regulated in AA induced dormancy. The dormant bacteria reside in the host cells and are known to modulate the host metabolism for their own benefit. So, the third objective was to understand the metabolic variations in the host during LTBI (Chapter 4). A genome-scale metabolic (GSM) model of alveolar macrophage was used in this study. The metabolic model contains information of the reactions, metabolites and the genes encoding enzymes that catalyze a particular reaction. Flux balance analysis (FBA), a constraint-based metabolic modeling method, is used for analyzing the alterations in the metabolism under different infection conditions. In order to mimic the physiological condition, gene expression data was used for constraining the bounds of the reactions in the model. Two different expression studies were used for analysis: GSE25534 (from Chapter 2) and ascorbic acid induced dormancy (Chapter 3). The analysis was carried out for latent TB versus healthy control and latent TB versus active TB to identify the most altered metabolic processes in LTBI. Differences in fluxes between the two conditions were calculated. A new classification scheme was devised to categorize the reactions on the basis of flux differences. In this chapter, higher fluxes in LTBI condition were identified for reactions involved in transport of small metabolites as well as amino acids. Solute carrier proteins responsible for the transport of the metabolites were identified and their biological significance is discussed. Reduced glutathione (GSH), arachidonic acid, prostaglandins, pantothenate were identified as important metabolites in LTBI condition and their physiological role has been described. Sub-system analysis for different conditions shows differential regulation for arachidonic acid metabolism, fatty acid metabolism, folate metabolism, pyruvate metabolism, glutathione metabolism, ROS detoxification, triacylglycerol synthesis and transport as well as tryptophan metabolism. From the study, transporter proteins and reactions altered during LTBI were identified, which again provide clues for understanding the molecular basis of establishing a latent infection. Mycoabcterium tuberculosis is known to undergo dormancy during stress conditions. In this chapter, the main objective was to identify the global variations in the dormant Mtb (Chapter 5). To carry out the analysis, the Mtb PPI network was constructed using information from available resources. Gene expression data of two different dormancy models, Wayne growth model and multiple-stress model, were used for the study. To identify the key players involved in reversal of dormancy, the transcriptome data of reaeration condition was also used. In this study, the Max-flow algorithm was implemented to identify the feasible paths or flows in different condition. The flows with higher scores indicate that more information is traversed by the path, and hence is important for the study. From the analysis of Wayne growth model (hypoxia model), important transcriptional regulators such as SigB, SigE, SigH, regulators in the two-component system such as MprA, MtrA, PhoP, RegX3 and TrcR were identified in stress condition. Multiple-stress model studied the growth of bacteria in low oxygen concentration, high carbon dioxide levels, low pH and nutrient starvation. The gene expression data was integrated in the Mtb PPI network and implementation of Max-flow algorithm showed that MprA, part of the MprA-MprB two-component system, is involved in the regulation of persistent condition. WhiB1 also features in the paths of dormant condition and its role in persistence can be explored. In reaeration model, WhiB1 and WhiB4 are present in the top flows of this condition indicating that the redox state is perturbed in the pathogen and the interactions of these proteins are important to understand the reversal of dormant condition. From the study, Rv2034, Rv2035, HigA, Rv1989, Rv1990 and Rv0837 proteins belonging to toxin-antitoxin systems were also identified in the dormant bacteria, indicating their role in adaptation during stress condition. The role of Rv2034 has been studied in persistence, but the function of other proteins can be analyzed to provide new testable hypotheses about the role of these proteins in dormancy. Thus, the flows or paths perturbed during dormancy were identified in this study. To get a better understanding of the metabolic network active in mycobacteria under different conditions, experiments were performed in Mycobacterium smegmatis MC2 155. The non-pathogenic strain of genus Mycobacteria, Mycobacterium smegmatis, is used as a surrogate to carry out molecular biology studies of Mtb. Mycobacterium smegmatis MC2 155 (Msm) is the commonly used laboratory strain for experimental purpose. In order to obtain a clear understanding of how comparable are the metabolic networks between the virulent M. tuberculosis H37Rv and the model system Msm, the latter model is first studied systematically. In Chapter 6, first the functional annotation of the Msm genome was carried out and the genes were categorized into different Tuberculist classes based on homology with the Mtb genome. A high-throughput growth characterization was carried out to characterize the strain systematically in terms of different carbon, nitrogen or other sources that promoted growth and thus served as nutrients and those that did not, together yielding a genome-phenome correlation in Msm. Gene expression was measured and used for explaining the observed phenotypic behavior of the organism. Together with the genome sequence, the transcriptome and phenome analysis, a set of about 257 different metabolic pathways were identified to be feasible in wild-type Msm. About 284 different carbon, nitrogen source and nutrient supplements were tested in this experiment and 167 of them supported growth of Msm. This indicates that the compounds enter the cells and are metabolized efficiently, thus yielding similar phenotypes. The expressed genes and metabolites supporting growth were mapped to the metabolic network of Msm, thus helping in the identification of feasible metabolic routes in Msm. A comparative study between Msm and Mtb revealed that these organisms share similarity in the nutrient sources that are utilized for growth. The study provides experimental proof to identify the feasible metabolic routes in Msm, and this can be used for understanding the metabolic capability in the two organisms under different conditions providing a basis to understand adaptations during dormancy. In the last part of the work presented in this thesis, the metabolic shift in the pathogen was studied using a genome-scale metabolic model of Mtb (Chapter 7). The model contains information of the reactions, metabolites and genes involved in the reactions. Flux balance analysis (FBA) was carried out by integrating normalized gene expression data (Wayne model and multiple-stress model transcriptome considered in Chapter 5) to identify the set of reactions, which have a higher flux in the dormant condition as compared to the control replicating condition. Glutamate metabolism along with propionyl CoA metabolism emerge as major up-regulated processes in dormant Mtb. Next, with an objective of identifying essential genes in dormant Mtb, a systematic in silico single gene knock-out analysis was carried out where each gene and it's associated reaction was knocked out of the model, one at a time and the ability of the model to reach its objective function assessed. About 168 common genes in Wayne model and multiple-stress model were identified as important in Mtb after the knockout analysis. Essentiality is in essence a systems property and requires to be probed through multiple angles. Towards this, essential genes were identified in Mtb using a multi-level multi-scale systems biology approach. About 283 genes were identified as essential on the basis of combined analysis of transcriptome data, FBA, network analysis and phyletic retention studies in Mtb. 168 genes identified as important in dormant Mtb were compared with 283 essential genes and about 91 genes were found to be essential. Finally, among the set of essential genes, those that satisfy other criteria for a drug target were analyzed using the list of high-confidence drug targets of Mtb available in the laboratory along with their associated drug or drug-like molecules. 38 out of the 168 important genes in Mtb were found to have one or more drugs associated with them from the DrugBank database. Colchicin-Rv1655, Raloxifene-Rv1653, Bexarotene-Rv3804, Rosiglitazone-Rv3804 are top-scoring drug-target pairs that can be explored for killing dormant bacilli. The study has thus been useful in identifying important proteins, reactions and drug targets in dormant Mtb. In summary, the thesis presents a comprehensive systems-level understanding of various aspects of host responses and pathogen adaptation during latent TB infection. Key host and pathogen factors involved in LTBI are identified that serve as useful pointers for deriving strategies for tackling a latent infection.

Rhodopsin-Guanylyl-Zyklasen (RGCs) gehören zur Familie der Enzymrhodopsine, welche sich durch eine Lichtregulation ihrer Enzymaktivität durch ein Rhodopsin (Rh) auszeichnen. Das membranständige Rh ist hierbei mit einer Guanylylzyklase (GC) verbunden, welches nach Lichtaktivierung des Rh GTP zu zyklisiertem GMP (cGMP) umsetzt. Der sekundäre Botenstoff cGMP sowie das verwandte cAMP spielen eine wichtige Rolle in einer Vielzahl von biologischen Prozessen. Die lichtgesteuerte Kontrolle dieser Botenstoffe bietet der Optogenetik somit eine Möglichkeit zur Erforschung ihrer Signalwege und könnte so den Weg zu medizinisch nutzbaren Erkenntnissen weisen. Im Rahmen dieser Arbeit wurde eine RGC, gefunden im Genom des Pilzes Catenaria anguillulae aus der Abteilung der Blastocladiomycota, spektroskopisch untersucht. Zu diesem Zweck wurde ein FTIR- und UV-Vis-spektroskopischer Messaufbau entwickelt, der eine parallele Aufzeichnung von UV-Vis- und FTIR-Spektren an derselben Proteinprobe erlaubt. Neben konventionellen Belichtungsmethoden, wurde ein durchstimmbarer Hochleistungspulslaser integriert, welcher den praktisch simultanen Umsatz der Proteinprobe erlaubt. Um auch früheste Prozesse spektroskopisch zu erfassen, wurde zusätzlich ein Hochdruck-Heliumkryostat integriert, der Messungen bis unterhalb des Siedepunkts von Helium ermöglicht (bis ~3 K). Nach der UV-Vis- und FTIR-spektroskopischen Charakterisierung der Photointermediate konnte ein Modell des Photozyklus abgeleitet werden, während Messungen an trunkierten Varianten eine aktive Rolle des N-Terminus in der Enzymregulation aufzeigten. Unter Verwendung eines photolabilen und nichtumsetzbaren GTP-Substrats konnte die Aktivität von RGC und freiem GC in Echtzeit spektroskopisch untersucht werden. Neben der Identifizierung des aktiven Zustands wurde entgegen bisheriger Annahmen gezeigt, dass GTP schon vor Lichtaktivierung an RGC bindet. Die Lichtregulation erfolgt demnach direkt über Modifikationen in der Bindetasche und nicht deren Zugänglichkeit. Ein Aktivierungsmechanismus wurde skizziert, der sowohl die hier vorgelegten Ergebnisse, als auch Ergebnisse vorhergehender Untersuchungen kombiniert. / Rhodopsin guanylyl cyclases (RGCs) belong to the family of enzymerhodopsins, which are characterized by light regulation of their enzyme activity by a rhodopsin (Rh). The embrane-bound Rh is linked to a type III guanylyl cyclase (GC). Upon light activation of Rh, inhibition of GC is abolished and conversion of GTP to cyclic GMP (cGMP) is initiated. The secondary messengers cGMP and the closely related cAMP play important roles in a variety of biological processes. Hence, light-controlled regulation of these messengers provides an opportunity to investigate their signaling pathways using optogenetics and could pave the way for medically useful findings. In this work, a RGC found in the genome of the fungus Catenaria anguillulae from the division of Blastocladiomycota was spectroscopically investigated. For this purpose, an FTIR and UV-Vis spectroscopic measurement setup was developed which supports parallel recording of UV-Vis and FTIR spectra of the same protein sample. In addition to conventional illumination methods, a tunable high-power pulse laser was integrated which allows virtually simultaneous turnover of the protein sample due to its pulse duration in the nanosecond and power in the megawatt range. To investigate the earliest molecular processes a high-pressure helium cryostat was integrated which allows measurements down to below the boiling point of helium (~3 K). Based upon the UV-Vis and FTIR spectroscopic characterization of the photointermediates, a model of the photocycle was derived, while experiments on truncated variants revealed an active role of the N-terminus in enzyme regulation. Using a photolabile and non-convertible GTP substrate, the activity of RGC and free GC could be investigated spectroscopically in real time. In addition to identifying the active state, it was shown, contrary to previous assumptions, that GTP binds to RGC even before light activation. Thus, light regulation occurs directly via modifications in the binding pocket rather than its accessibility. An activation mechanism was outlined that combines both the results presented here and results of previous studies.

The intimate relationship between the higher-order chromatin organisation and the regulation of gene expression is increasingly attracting attention in the scientific community. Thanks to high-resolution microscopy, genome-wide molecular biology tools (3C, ChIP-on-chip), and bioinformatics, detailed structures of chromatin loops, territories, and nuclear domains are gradually emerging. However, to fully reveal a comprehensive map of nuclear organisation, some fundamental questions remain to be answered in order to fit all the pieces of the jigsaw together. The underlying mechanisms, precisely organising the interaction of the different parts of chromatin need to be understood. Previous work in our lab hypothesised and verified the “transcription factory” model for the organisation of mammalian genomes. It is widely assumed that active polymerases track along their templates as they make RNA. However, after allowing engaged polymerases to extend their transcripts in tagged precursors (e.g., Br-U or Br-UTP), and immunolabelling the now-tagged nascent RNA, active transcription units are found to be clustered in nuclei, in small and numerous sites we call “transcription factories”. Previous work suggested the transcription machinery acts both as an enzyme as well as a molecular tie that maintains chromatin loops, and the different classes of polymerases are concentrated in their own dedicated factories. This thesis aims to further characterise transcription factories. Different genes are transcribed by different classes of RNA polymerase (i.e., I, II, or III), and the resulting transcripts are processed differently (e.g., some are capped, others spliced). Do factories specialise in transcribing particular subsets of genes? This thesis developed a method using replicating minichromosomes as probes to examine whether transcription occurs in factories, and whether factories specialise in transcribing particular sets of genes. Plasmids encoding the SV40 origin of replication are transfected into COS-7 cells, where they are assembled into minichromosomes. Using RNA fluorescence in situ hybridisation (FISH), sites where minichromosomes are transcribed are visualised as discrete foci, which specialise in transcribing different groups of genes. Polymerases I, II, and III units have their own dedicated factories, and different polymerase II promoters and the presence of an intron determine the nuclear location of transcription. Using chromosome conformation capture (3C), minichromosomes with similar promoters are found in close proximity. They are also found close to similar endogenous promoters and so are likely to share factories with them. In the second part of this thesis, I used RNA FISH to confirm results obtained by tiling microarrays. Addition of tumour necrosis factor alpha (TNF alpha) to human umbilical vein endothelial cells induces an inflammatory response and the transcription of a selected sub-set of genes. My collaborators used tiling arrays to demonstrate a wave of transcription that swept along selected long genes on stimulation. RNA FISH confirmed these results, and that long introns are co-transcriptionally spliced. Results are consistent with one polymerase being engaged on an allele at any time, and with a major checkpoint that regulates polymerase escape from the first few thousand nucleotides into the long gene.

The self-assembly of structured particles into monodisperse clusters is a challenge on the nano-, micro- and even macro-scale. While biological systems are able to self-assemble with comparative ease, many aspects of this self-assembly are not fully understood. In this thesis, we look at the strategies and rules that can be applied to encourage the formation of monodisperse clusters. Though much of the inspiration is biological in nature, the simulations use a simple minimal patchy particle model and are thus applicable to a wide range of systems. The topics that this thesis addresses include: Encapsulation: We show how clusters can be used to encapsulate objects and demonstrate that such `templates' can be used to control the assembly mechanisms and enhance the formation of more complex objects. Hierarchical self-assembly: We investigate the use of hierarchical mechanisms in enhancing the formation of clusters. We find that, while we are able to extend the ranges where we see successful assembly by using a hierarchical assembly pathway, it does not straightforwardly provide a route to enhance the complexity of structures that can be formed. Pore formation: We use our simple model to investigate a particular biological example, namely the self-assembly and formation of heptameric alpha-haemolysin pores, and show that pore insertion is key to rationalising experimental results on this system. Phase re-entrance: We look at the computation of equilibrium phase diagrams for self-assembling systems, particularly focusing on the possible presence of an unusual liquid-vapour phase re-entrance that has been suggested by dynamical simulations, using a variety of techniques.

Confocal single-molecule fluorescence is a powerful tool for monitoring conformational dynamics, and has provided new insight into the enzymatic activities of complex biological molecules such as DNA and RNA polymerases. Though useful, such studies are typically qualitative in nature, and performed almost exclusively in highly purified, in vitro settings. In this work, I focus on improving the methodology of confocal single-molecule fluorescence in two broad ways: (i) by enabling the quantitative identification of molecular dynamics in proteins and nucleic acids in vitro, and (ii) developing the tools needed to perform these analyses in vivo. Toward the first goal, and together with several colleagues, I have developed three novel methods for the quantitative identification of dynamics in biomolecules: (i) Burst Variance Analysis (BVA), which unambiguously identifies dynamics in single-molecule FRET experiments; (ii) Dynamic Probability Density Analysis (PDA), which hypothesis-tests specific kinetic models against smFRET data and extracts rate information; and (iii) a novel molecular counting method useful for studying single-molecule thermodynamics. We validated these methods against Monte Carlo simulations and experimental DNA controls, and demonstrated their practical application in vitro by analyzing the “fingers-closing” conformational change in E.coli DNA Polymerase I; these studies identified unexpected conformational flexibility which may be important to the fidelity of DNA synthesis. To enable similar studies in the context of a living cell, we generated a nuclease-resistant DNA analogue of the Green Fluorescent Protein, or “Green Fluorescent DNA,” and developed an electroporation method to efficiently transfer it into the cytoplasm of E.coli. We demonstrate in vivo confocal detection of smFRET from this construct, which is both bright and photostable in the cellular milieu. In combination with PDA, BVA and our novel molecular counting method, this Green Fluorescent DNA should enable the characterization of DNA and protein-DNA dynamics in living cells, at the single-molecule level. I conclude by discussing the ways in which these methods may be useful in investigating the dynamics of processes such as transcription, translation and recombination, both in vitro and in vivo.