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Prajapati, S.

Publications and source records attributed to Prajapati, S..

9 recordsLinked to original sources

SOP-Multi-π: A Two-Site Coarse-Grained Model with Rescaled Aromatic Interactions to Bridge Single-Chain Ensembles and Condensate Phase Behavior of IDPs and Multidomain Proteins

We present SOP-Multi-{pi}, an enhanced version of the two-bead-per-amino-acid resolution Self-Organized Polymer (SOP) model designed to investigate the conformational dynamics of Intrinsically Disordered Proteins (IDPs) and their phase behavior in biomolecular condensates. The original SOP-IDP and SOP-Multi models work well for chains in good solvents that predominantly adopt expanded conformations. However, they fail to reproduce the single-chain properties and phase-separation behavior of IDPs such as hnRNPA1 and its variants, which have a distinct pattern of aromatic residues. We therefore reparameterized the SOP-IDP force field to explicitly capture {pi}-{pi} and cation-{pi} interactions at the coarse-grained (CG) resolution. These interactions are weak but important for biomolecular recognition and for driving and stabilizing biomolecular condensates. Dimensionless rescaling prefactors ({lambda}) were applied exclusively to the aromatic {pi}-{pi} (Phe, Tyr, Trp) and cation-{pi} (Arg/Lys with Phe, Tyr, Trp) pairs. They were optimized iteratively against experimental radii of gyration of the hnRNPA1 low-complexity domain (A1-LCD) and its 16 aromatic and charge mutants. This restored a physically meaningful Tyr > Phe interaction hierarchy, and the Pearson correlation for Rg improved from r = 0.07 (SOP-IDP) to r = 0.83 (RMSD = 0.08 nm). The same parameters, without further tuning, gave r = 0.93 for 34 additional IDPs (24-198 residues) and reproduced Flory scaling ( {nu} ~ 0.588). We back-mapped microsecond-scale CG ensembles to all-atom representations and computed SAXS and Kratky profiles for direct comparison with experiments on IDPs and on the multidomain proteins hnRNPA1, TDP-43, G3BP1, and FUS. In direct-coexistence slab simulations, the model captures the phase behavior of A1-LCD condensates and their variants, with critical temperatures that correlate strongly with experiment (r = 0.88) but are somewhat underestimated in absolute terms. The model is implemented in LAMMPS, and a detailed user manual is provided for setting up single-chain and multi-chain condensate simulations of full-length multidomain proteins.

biophysics↗

Dendrimer Delivered shRNA Targeting the CCL20-CCR6 Axis Suppresses Complement-Mediated Microglial Synaptic Pruning and Ameliorates Chronic Neuroinflammation After Repetitive Traumatic Brain Injury

Repetitive traumatic brain injury (rTBI) induces persistent microglial activation and chronic neuroinflammation, yet the upstream signals driving long-term synaptic injury remain unclear. In this study, we identify the CCL20-CCR6 chemokine axis as a critical regulator of sustained microglial activation and complement-dependent synaptic loss after rTBI. Proteomic profiling at 30 days post-injury (dpi) showed broad normalization of complement-linked inflammatory and synaptic pathways in the cortex and hippocampus, underscoring a mechanistic link between chemokine signaling, microglial activation, and synaptic vulnerability. To therapeutically target this axis, we developed a dendrimer-based shRNA platform (shCombo-DPX) that simultaneously silences CCL20 and CCR6. Intranasal and intravenous delivery in rTBI mice effectively reduced CCL20-CCR6 expression, attenuated chronic microgliosis and astrogliosis, and suppressed complement activation. Treatment limited microglial synaptic engulfment, preserved synaptic proteins, restored BDNF levels, and improved motor, anxiety-related, and cognitive outcomes. In microglia-neuron coculture systems, CCL20 silencing reduced LPS-induced complement signaling and prevented synaptic loss, neuronal apoptosis, and BDNF depletion. Conversely, exposure to recombinant CCL20 induced dendritic degeneration, caspase-3 activation, microglial reactivity, complement dysregulation, and synaptic injury both in vitro and in vivo. Collectively, these findings establish CCL20-CCR6 as a key upstream driver of chronic complement-mediated synaptic degeneration after rTBI and support dendrimer-delivered shRNA therapy as a targeted strategy to mitigate long-term neurodegeneration.

neuroscience↗

Rapid Isolation and Genomic Characterization of Sewage-Derived Bacteriophages Targeting Multidrug-Resistant Avian Pathogenic Escherichia coli in Poultry

Antimicrobial resistance (AMR) in Escherichia coli is a major threat to global poultry production, particularly for controlling colibacillosis caused by avian pathogenic E. coli (APEC). Intensive antibiotic use has accelerated the emergence of multidrug-resistant (MDR) strains, undermining treatment efficacy and facilitating zoonotic transmission of resistance genes. This study evaluated bacteriophage therapy as a targeted, antibiotic-independent strategy to control MDR E. coli in Nepalese poultry systems. Seventeen E. coli isolates were obtained from commercial broiler and local-breed chicken farms. Using the double-layer agar method, 18 lytic phages were isolated from three urban sewage samples, infecting eight isolates. Real Time PCR screening revealed extensive AMR profiles in six isolates; one broiler-derived strain (EcI8) harbored 30 resistance genes, including carbapenemases, ESBLs, aminoglycoside, quinolone, and last-resort antibiotic determinants associated with class 1 and 3 integrons. Purified phages were whole-genome sequenced and all of them belonged to the genera Tequatrovirus, Phapecoctavirus, Vequintavirus, and Gamaleyavirus--lineages previously used in veterinary and human phage therapy. Several exhibited broad host ranges (up to seven isolates) and lacked detectable virulence or resistance genes; they also encoded potent lytic enzymes, including endolysins, holins, spanins, and transglycosylases. Notably, one Phapecoctavirus (PG7) showed close similarity to established APEC-infecting phages. These findings demonstrate that sewage can be a readily accessible source of safe, therapeutically relevant phages targeting highly resistant poultry E. coli. Phage cocktails and derived enzybiotics delivered through drinking water or feed offer a scalable alternative for preventing and treating colibacillosis, reducing antibiotic dependence, and mitigating zoonotic AMR risks. This study establishes a rapid, reproducible pipeline for local phage isolation and genomic validation, supporting field deployment of tailored phage-based interventions in resource-limited poultry systems.

microbiology↗

Rationale design of peptide inhibitors for α-Synuclein liquid condensates and fibrillar aggregates using multiscale modelling approach

-Synuclein is an intrinsically disordered protein (IDP) whose aggregation is implicated in Parkinsons disorder. Herein, we computationally design a -Synuclein derived potential peptide inhibitor against the proteins monomeric, fibrillar and liquid condensate forms using multi-scale molecular modelling approaches. Since the conventional structure-based design paradigm often is not applicable to these highly labile IDPs, we first develop a pipeline to generate an exhaustive library of small candidate peptides from an available repository of -Synuclein 70 {micro}s all-atom molecular dynamics (AAMD) trajectory data. We then use high throughput screening techniques such as PATCHDOCK and HPEPDOCK as well as AAMD simulations to arrive at a single candidate peptide. AAMD simulations data show that -Synuclein bound peptide chain leads to an expanded conformational ensemble for the chain and also reduces the {beta}-sheet propensity of the proteins fibrillar amylogenic aggregates. Coarse-grained simulations using HPS-Cation forcefield with 100 chains of -Synuclein and varying levels of candidate peptides shows decreased density and increased apparent critical temperature of the condensate system. Our detailed molecular interactions analyses show that peptides bind to the -Synucleins through the "dynamic shuttling mechanism" where interaction are frequently made and broken around a given set of structurally proximal residues, which likely softens the dynamic interaction network in the condensates. Together, we could illustrate the inhibitory effect of the final designed peptide against distinct forms of -Synuclein monomer and aggregates. Our work provides a multiscale simulation based prescription towards the futuristic development of therapeutic strategies against the disordered proteins.

biophysics↗

Genomic sequencing and neutralizing serological profiles during acute dengue infection: A 2017 cohort study in Nepal

Dengue virus (DENV) is a mosquito-borne flavivirus that poses a threat to nearly 50% of the global population. DENV has been endemic in Nepal since 2006; however, little is known about how DENV is evolving or the prevalence of anti-DENV immunity within the Nepalese population. To begin to address these gaps, we performed a serologic and genetic study of 49 patients from across Nepal who presented at central hospitals during the 2017 dengue season with suspected DENV infection. Of the 49 subjects assessed, 21 (43%) were positive for DENV NS1 antigen; of these; 5 were also anti-DENV IgM+ IgG+; 7 were DENV IgM+ IgG-, 2 were IgM- IgG+, and 7 were IgM- IgG- by specific ELISAs. Seven of the 21 NS1+ sera were RNA+ by RT-PCR (six DENV2, one DENV3), suggesting that DENV2 was the dominant serotype in our cohort. Whole-genome sequencing of two DENV2 isolates showed similarity with strains circulating in Singapore in 2016, and the envelope genes were also similar to strains circulating in India in 2017. DENV-neutralizing antibodies (nAbs) were present in 31 of 47 sera tested (66%); among these, 20, 24, 26, and 12 sera contained nAbs against DENV1, 2, 3, and 4 serotypes, respectively. Serology analysis suggested that 12 (26%) and 19 (40%) of the 49 subjects were experiencing primary and secondary DENV infections, respectively. Collectively, our results provide evidence for current and/or past exposure to multiple DENV serotypes in our cohort, and the RNA analyses further indicate that DENV2 was the likely dominant serotype circulating in Nepal in 2017. These data suggest that expanded local surveillance of circulating DENV genotypes and population immunity will be important to effectively manage and mitigate future dengue outbreaks in Nepal.

genomics↗

Protein-Metabolite Interactomics Reveals Novel Regulation of Carbohydrate Metabolism

Metabolism is highly interconnected and also has profound effects on other cellular processes. However, the interactions between metabolites and proteins that mediate this connectivity are frequently low affinity and difficult to discover, hampering our understanding of this important area of cellular biochemistry. Therefore, we developed the MIDAS platform, which can identify protein-metabolite interactions with great sensitivity. We analyzed 33 enzymes from central carbon metabolism and identified 830 protein-metabolite interactions that were mostly novel, but also included known regulators, substrates, products and their analogs. We validated previously unknown interactions, including two atomic-resolution structures of novel protein-metabolite complexes. We also found that both ATP and long-chain fatty acyl-CoAs inhibit lactate dehydrogenase A (LDHA), but not LDHB, at physiological concentrations in vitro. Treating cells with long-chain fatty acids caused a loss of pyruvate/lactate interconversion, but only in cells reliant on LDHA. We propose that these regulatory mechanisms are part of the metabolic connectivity that enables survival in an ever-changing nutrient environment, and that MIDAS enables a broader and deeper understanding of that network.

biochemistry↗

Opportunistic gut sampling indicates differential diet and plastic ingestion risk in Indian dugongs

Dugongs, exclusively seagrass foragers, are globally threatened marine mammals. Knowledge on their feeding biology has been derived from few direct observations and mostly by analysis of stomach contents. Given limitations in data from Indian populations, dugong strandings serve as an opportunity to understand their dietary composition through gut sampling. In this paper, we utilize the gut contents collected from stranded dugongs to detect differences in the seagrass foraging between two isolated pockets of dugong distribution (Tamil Nadu and Gujarat) and supplement existing knowledge on dugong feeding biology in Indian waters. We extracted, enumerated and identified seagrass species from dugong gut contents. The proportion of seagrass leaf fragments were found higher (>40%) than other fragments in all the gut samples analysed. We recorded two seagrass genera (Halophila spp. and Halodule spp.) from Gujarat and five seagrass genera (Halophila spp., Halodule spp., Cymodocea spp., Enhalus spp., Syringodium spp.) from Tamil Nadu dugong individuals. We also obtained anthropogenic debris such as plastic, fishing net and wood fragments from the gut samples. We suggest enhanced monitoring of seagrass habitats and fine spatial scale threat mapping in entire dugong distribution range in India.

ecology↗

Transient Room Lighting for Ambient Light Multiphoton Microscopy

Laser scanning microscopy techniques such as confocal and multiphoton fluorescence microscopy have been widely adopted by the biological research community due to their ability to monitor intact specimens at high spatial and temporal resolution. However, they have been limited for many biomedical, clinical and industrial applications by their fundamental need to operate in near absolute darkness. We present a lighting system that allows the use of light-sensitive imaging techniques in a fully-lit room by interleaving capture and illumination at a high frequency and exploiting the light averaging properties of the human eye. We use this system with a multiphoton fluorescence microscope to illustrate that this method is capable of image capture in a well-lit room on par with capture in absolute darkness. This comparison is quantified through noise analysis of the images. This system has been implemented for laser scanning microscopy but has potential for widefield fluorescence imaging suitable for open-field surgery.

bioengineering↗

Hip circumduction is not a compensation for reduced knee flexion angle during gait

It has long been held that hip abduction compensates for reduced swing-phase knee flexion angle, especially in those after stroke. However, there are other compensatory motions such as pelvic obliquity (hip hiking) that could also be used to facilitate foot clearance with greater energy efficiency. Our previous work suggested that hip abduction may not be a compensation for reduced knee flexion after stroke. Previous study applied robotic knee flexion assistance in people with post-stroke Stiff-Knee Gait (SKG) during pre-swing, finding increased abduction despite improved knee flexion and toe clearance. Thus, our hypothesis was that hip abduction is not a compensation for reduced knee flexion. We simulated the kinematics of post-stroke SKG on unimpaired individuals with three factors: a knee orthosis to reduce knee flexion, an ankle-foot orthosis commonly worn by those post-stroke, and matching gait speeds. We compared spatiotemporal measures and kinematics between experimental factors within healthy controls and with a previously recorded cohort of people with post-stroke SKG. We focused on frontal plane motions of hip and pelvis as possible compensatory mechanisms. We observed that regardless of gait speed, knee flexion restriction significantly increased pelvic obliquity (2.79{degrees}, p<0.01) compared to unrestricted walking (1.5{degrees}, p<0.01), but similar to post-stroke SKG (3.4{degrees}). However, those with post-stroke SKG had significantly greater hip abduction (8.2{degrees}) compared to unimpaired individuals with restricted knee flexion (4.2{degrees}, p<0.05). These results show that pelvic obliquity, not hip abduction, compensates for reduced knee flexion angle. Thus, other factors, possibly neural, facilitate exaggerated hip abduction observed in post-stroke SKG.

bioengineering↗