Publications by authors named "Arnab Bhattacherjee"

Background: Non-clear-cell renal cell carcinoma (nccRCC) refers to a rare diverse heterogeneous group of tumours; usually treated with immune check point inhibitors and or tyrosine kinase inhibitors (TKIs). Prospective large-scale data from Asian countries is limited.

Methods: This is a retrospective study of patients with metastatic nccRCC treated at Tata Medical Centre, Kolkata, India, from 2012 to 2022.

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A DNA nick, defined as a discontinuity in a double-stranded DNA molecule where the phosphodiester bond between adjacent nucleotides of one strand is absent due to enzyme action, serves as an effective mechanism to alleviate stress in supercoiled DNA. This stress release is essential for the smooth operation of transcriptional machinery. However, the underlying mechanisms and their impact on protein search dynamics, which are crucial for initiating transcription, remain unclear.

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Accurate transcription of genetic information is crucial, involving precise recognition of the binding motifs by DNA-binding proteins. While some proteins rely on short-range hydrophobic and hydrogen bonding interactions at binding sites, others employ a DNA shape readout mechanism for specific recognition. In this mechanism, variations in DNA shape at the binding motif resulted from either inherent flexibility or binding of proteins at adjacent sites are sensed and capitalized by the searching proteins to locate them specifically.

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Preserving the genomic integrity stands a fundamental necessity, primarily achieved by the DNA repair proteins through their continuous patrolling on the DNA in search of lesions. However, comprehending how even a single base-pair lesion can be swiftly and specifically recognized amidst millions of base-pair sites remains a formidable challenge. In this study, we employ extensive molecular dynamics simulations using an appropriately tuned model of both protein and DNA to probe the underlying molecular principles.

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Actively treadmilling FtsZ acts as the pivotal scaffold for bacterial cell divisome components providing them with a circumferential ride along the site of future division. FtsZ from slow growing Helicobacter pylori (HpFtsZ), a class I carcinogen which thrives abundantly in the acidic environment is poorly understood. We studied HpFtsZ as a function of pH, cations and time and compared it with well-studied E.

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Nearly three-fourths of all eukaryotic DNA is occupied by nucleosomes, protein-DNA complexes comprising octameric histone core proteins and ∼150 base pairs of DNA. In addition to acting as a DNA compaction vehicle, the dynamics of nucleosomes regulate the DNA site accessibility for the nonhistone proteins, thereby controlling regulatory processes involved in determining the cell identity and cell fate. Here, we propose an analytical framework to analyze the role of nucleosome dynamics on the target search process of transcription factors through a simple discrete-state stochastic description of the search process.

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Human Replication Protein A (hRPA) is a multidomain protein that interacts with ssDNA intermediates to provide the latter much-needed stability during DNA metabolism and maintain genomic integrity. Although the ssDNA organization with hRPA was studied recently through experimental means, characterizing the underlying mechanism at the atomic level remains challenging because of the dynamic domain architecture of hRPA and poorly understood heterogeneity of ssDNA-protein interactions. Here, we used a computational framework, precisely tailored to capture protein-ssDNA interactions, and investigated the binding of hRPA with a 60 nt ssDNA.

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The association of multiple Transcription Factors (TFs) in the cis-regulatory region is imperative for developmental changes in eukaryotes. The underlying process is exceedingly complex, and it is not at all clear what orchestrates the overall search process by multiple TFs. In this study, by developing a theoretical model based on a discrete-state stochastic approach, we investigated the target search mechanism of multiple TFs on nucleosomal DNA.

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DNA morphology is subjected to environmental conditions and is closely coupled with its function. For example, DNA experiences stretching forces during several biological processes, including transcription and genome transactions, that significantly alter its conformation from that of B-DNA. Indeed, a well-defined 1.

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Critical lineage commitment events are staged by multiple transcription factors (TFs) binding to their cognate motifs, often positioned at nucleosome-enriched regions of chromatin. The underlying mechanism remains elusive due to difficulty in disentangling the heterogeneity in chromatin states. Using a novel coarse-grained model and molecular dynamics simulations, here we probe the association of Sox2 and Oct4 proteins that show clustered binding at the entry-exit region of a nucleosome.

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Nucleosome positioning plays an important role in crucial biological processes such as replication, transcription, and gene regulation. It has been widely used to predict the genome's function and chromatin organisation. So far, the studies of patterns in nucleosome positioning have been limited to transcription start sites, CTCFs binding sites, and some promoter and loci regions.

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Recently, a cryo-electron microscopy study has captured different stages of nucleosome breathing dynamics that show partial unwrapping of DNA from histone core to permit transient access to the DNA sites by transcription factors. In practice, however, only a subset of transcription factors named pioneer factors can invade nucleosomes and bind to specific DNA sites to trigger essential DNA metabolic processes. We propose a discrete-state stochastic model that considers the interplay of nucleosome breathing and protein dynamics explicitly and estimate the mean time to search the target DNA sites.

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Replication protein A (RPA) serves as a hub protein inside eukaryotic cells, where it coordinates crucial DNA metabolic processes and activates the DNA-damage response system. A characteristic feature of its action is to associate with single-stranded DNA (ssDNA) intermediates before handing them over to downstream proteins. The length of ssDNA intermediates differs for different pathways.

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Coronavirus disease 2019 (COVID-19) is a severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2). In the light of its rapid global spreading, on 11 March 2020, the World Health Organization has declared it a pandemic. Interestingly, the global spreading of the disease is not uniform, but has so far left some countries relatively less affected.

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Scaffold proteins play pivotal role as modulators of cellular processes by operating as multipurpose conformation clamps. 14-3-3 proteins are gold-standard scaffold modules that recognize phosphoSer/Thr (pS/pT) containing conserved motifs, and confer conformational changes leading to modulation of functional parameters of their target proteins. Modulation in functional activity of kinases has been attributed to their interaction with 14-3-3 proteins.

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Although the fast association between DNA-binding proteins (DBPs) and DNA is explained by a facilitated diffusion mechanism, in which DBPs adopt a weighted combination of three-dimensional diffusion and one-dimensional (1D) sliding and hopping modes of transportation, the role of cellular environment that contains many nonspecifically interacting proteins and other biomolecules is mostly overlooked. By performing large-scale computational simulations with an appropriately tuned model of protein and DNA in the presence of nonspecifically interacting bulk and DNA-bound crowders (genomic crowders), we demonstrate the structural basis of the enhanced facilitated diffusion of DBPs inside a crowded cellular milieu through, to our knowledge, novel 1D scanning mechanisms. In this one-dimensional scanning mode, the protein can float along the DNA under the influence of nonspecific interactions of bulk crowder molecules.

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Preserving the genomic integrity is a fundamental requirement, primarily achieved by the DNA repair proteins through their continuous patrolling on the DNA in search of lesions. Human uracil DNA glycosylase (hUNG) is one such DNA repair protein that recognizes uracil in the duplex DNA and excises it using the extrahelical base recognition mechanism. Recent site transfer assay experiments based on full-length hUNG suggest that a crowded environment facilitates its search efficiency, which is enhanced further in the presence of a 93 residue disordered tail associated with its N-terminal.

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Using extensive computer simulations, we analyzed the role of physical properties of molecular crowding agents such as size, shape and mobility in the target search dynamics of DNA binding proteins. Our main result is that the sub-diffusive dynamics of a protein inside a crowded medium strongly depends on the crowder properties and also on the protein's mode of diffusion. For instance, while scanning the DNA one-dimensionally, the protein dynamics does not vary with the change in crowder properties.

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Recent experiments suggest that cellular crowding facilitates the target search dynamics of proteins on DNA, the mechanism of which is not yet known. By using large scale computer simulations, we show that two competing factors, namely the width of the depletion layer that separates the crowder cloud from the DNA molecule and the degree of protein-crowder crosstalk, act in harmony to affect the target search dynamics of proteins. The impacts vary from nonspecific to specific target search regime.

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A wide range of cellular processes initiates upon recognizing and binding of proteins to specific DNA sites. Typically, the recognition process is incredibly fast owing to a complex mechanism that combines different 3D and 1D modes of translocation of the protein. While few studies performed on selected DNA topologies suggested that the DNA topology might alter the balance between these two modes and therefore the target search kinetics, its detailed role in the target search mechanism remains unclear.

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DNA-binding proteins (DBPs) rapidly search and specifically bind to their target sites on genomic DNA in order to trigger many cellular regulatory processes. It has been suggested that the facilitation of search dynamics is achieved by combining 3D diffusion with one-dimensional sliding and hopping dynamics of interacting proteins. Although, recent studies have advanced the knowledge of molecular determinants that affect one-dimensional search efficiency, the role of DNA molecule is poorly understood.

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The Engrailed Homeodomain (EnHD) transcription factor of Drosophila melanogaster was fused to the enhanced green fluorescent protein (eGFP) either at its C- or N-terminus via three- or ten-residue flexible linkers. Here, we show that EnHD undergoes destabilization upon fusing it to eGFP regardless of the linker length used and whether the tethering is to its N- or C-terminus. The destabilization is reflected in melting points that are lower by up to 9°C.

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The Hybrid Monte Carlo method offers a rigorous and potentially efficient approach to the simulation of dense systems, by combining numerical integration of Newton's equations of motion with a Metropolis accept-or-reject step. The Metropolis step corrects for sampling errors caused by the discretization of the equations of motion. The integration is usually performed using a uniform step size.

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Multidomain transcription factors, which are especially abundant in eukaryotic genomes, are advantageous to accelerate the search kinetics for target site because they can follow the intersegment transfer via the monkey-bar mechanism in which the protein forms a bridged intermediate between two distant DNA regions. Monkey-bar dynamics highly depends on the properties of the multidomain protein (the affinity of each of the constituent domains to the DNA and the length of the linker) and the DNA molecules (their inter-distance and inter-angle). In this study, we investigate using coarse-grained molecular dynamics simulations how the local conformation of the DNA may affect the DNA search performed by a multidomain protein Pax6 in comparison to that of the isolated domains.

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The recognition of DNA-binding proteins (DBPs) to their specific site often precedes by a search technique in which proteins slide, hop along the DNA contour or perform inter-segment transfer and 3D diffusion to dissociate and re-associate to distant DNA sites. In this study, we demonstrated that the strength and nature of the non-specific electrostatic interactions, which govern the search dynamics of DBPs, are strongly correlated with the conformation of the DNA. We tuned two structural parameters, namely curvature and the extent of helical twisting in circular DNA.

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