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Biology subjects

Choudhury, D.

Publications and source records attributed to Choudhury, D..

13 recordsLinked to original sources

Mechanochemical cues control the coupling of metabolic and migratory patterns in cancer

Confined migration is essential for metastasis, yet how cells adapt their migratory and metabolic programs across stiffness-varying microenvironments remains unclear. We uncover a stiffness-dependent mechano-metabolic switch governing migration. In stiff microchannels, cells utilize the osmotic engine model (OEM), relying on NHE1 activity, front-polarization, and glycolysis. In soft microchannels, migration is OEM-independent and requires pyruvate-fueled oxidative phosphorylation (OxPHOS). This OxPHOS-driven motility depends on Arp3, {beta}1-integrin and integrin-linked kinase, which increase membrane tension in confinement that in turn triggers TRPM7-mediated calcium influx and RhoA-/myosin-II contractility. Activating and polarizing NHE1, via overexpression, hypoxia or elevated viscosity, restore OEM- and glycolysis-dependent migration in soft microchannels, bypassing the need for actin polymerization in vitro and in chick embryos. Mitochondria addition reinstates Arp3 polarization and enhances migration in NHE1-overexpressing cells, enabling engagement of both mechanisms in vitro and in zebrafish. These findings uncover a previously unrecognized mechano-metabolic link, revealing that intracellular rewiring overrides stiffness-dependent metabolic demands.

cell biology↗

Contextualized phenovectors reveal a Drosophila serotonergic circuit controlling satiety

Distinguishing whether a neural circuit genuinely controls a holistic behavioral state, rather than merely producing isolated effects, is a central challenge in neuroscience. Feeding research illustrates the problem: decades of work have reached conflicting conclusions partly because individual behavioral features are assessed in isolation. Here we establish a contextualized ethomics approach that benchmarks optogenetic circuit manipulations against natural hunger-satiety transitions, using high-dimensional behavioral tracking in Drosophila and starvation as a ground-truth intervention. Applying this framework, we find that serotonergic neurons marked by the Tryptophan hydroxylase neuronal (Trhn) enhancer are both required for and instructive of a satiety-like state, whereas other feeding-related circuits produce only fragmentary behavioral changes. Intersectional dissection localized this control to Trhn neurons of the ventral nerve cord, which act through the sugar transporter Sut2 to sense nutrient state. This work strengthens our understanding of serotonergic feeding control and provides a generalizable framework for validating circuit-state relationships.

neuroscience↗

Substrate transport limits phenylalanine ammonia-lyase activity in engineered Lacticaseibacillus rhamnosus GG

Probiotic-based encapsulation offers unique advantages over purified enzymes, such as increased protection from thermal-, pH-, and protease-mediated degradation, for oral therapeutic delivery applications. However, one of the major disadvantages of whole-cell systems is lower reaction rate due to substrate-product transport limitations imposed by the cell membrane and/or wall. In this work, we explore the potential of different lactic acid bacteria (LAB) - Lacticaseibacillus rhamnosus GG (LGG), Lactococcus lactis (Ll), and Lactiplantibacillus plantarum (Lp) - as expression hosts for recombinant Anabaena variabilis phenylalanine ammonia-lyase (AvPAL*). AvPAL* is used as a therapeutic to treat Phenylketonuria (PKU), a rare autosomal recessive metabolic disorder. Among the three species tested, LGG showed the highest PAL activity followed by L. lactis. Next, we attempted to overcome mass transfer limitation in whole-cell biocatalysts in two ways - expression of heterologous transporters and treatment with different chemical surfactants. Engineered strains expressing heterologous transporters exhibited approximately 3-4-fold increased PAL activity, while chemical treatment did not improve reaction rates. This work highlights the challenges and advances in realizing the potential of LAB as biotherapeutics. Impact StatementOral delivery of phenylalanine ammonia-lyase (PAL) using engineered probiotics is a promising therapeutic strategy to treat Phenylketonuria (PKU). Although PAL expression has been reported in probiotic strains of Limosilactobacillus reuteri, Lactococcus lactis, and E. coli, a systematic comparison of lactic acid bacteria (LAB) is underexplored. This study explores the potential of multiple LAB as hosts for PAL expression and investigates strategies to improve whole cell enzymatic activity. The findings from this study provide a foundation for implementing LAB-based delivery of PAL and indicate an important step towards development of probiotic platform for PKU management.

synthetic biology↗

Targeted mutagenesis in Ehrlichia canis deleting the phage head-to-tail connector protein gene and its assessment as a vaccine candidate preventing canine ehrlichiosis

Ehrlichia canis is primarily a Rhipicephalus sanguineus tick-borne rickettsial pathogen initially identified as causing canine monocytic ehrlichiosis, and infections in people have also been reported in Venezuela, Mexico, and parts of Europe. It is of high importance to have a vaccine suitable in protecting the canine host, which will aid in lessening E. canis infections also in people. Gene inactivation mutations in the phage head-to-tail connector protein genes (phtcp) from E. chaffeensis and A. marginale caused attenuated growth, and prior infection with the mutated bacteria induced protective immunity against wild-type bacterial infections in natural hosts, independent of blood-borne infection or tick-transmission infection. In the current study, we describe the development of targeted mutagenesis for the first time in E. canis genome and with a novel modification to avoid introducing antibiotic resistance cassettes to delete the phtcp ortholog from E. canis. The mutated E. canis was then assessed for its in vivo growth and the induction of host immunity exerted following the mutant infection aiding to protect against wild-type infection challenge in the canine host. We assessed systemic pathogen loads, hematological parameters, IgG immune responses, and plasma cytokines following the mutant infection relative to uninfected dogs. Similarly, the assessments were carried out following wild-type pathogen infections in dogs with or without prior mutant infection challenges. The study demonstrates that prior infection of dogs with the mutant induces immunity to prevent infection establishment by wild-type E. canis. Similarly, the mutant infection resulted in clear biological differences compared to the wild-type infection. This study establishes that the molecular genetic methods are broadly applicable to pathogens belonging to the family Anaplasmataceae and that the modified live vaccines with phtcp gene orthologs are valuable in reducing the diseases caused by the tick-borne rickettsial pathogens belong to Anaplasmataceae, including E. canis.

microbiology↗

Prediction of Ca2+ binding site in proteins with a fast and accurate method based on statistical mechanics and analysis of crystal structures

Predicting the precise locations of metal binding sites within metalloproteins is a crucial challenge in biophysics. A fast, accurate, and interpretable computational prediction method can complement the experimental studies. With this endeavor, In the current work, we have developed a method to predict the location of Ca2+ ions in calcium-binding proteins using a physics-based method with an all-atom description of the proteins, which is substantially faster than the molecular dynamics simulation-based methods with accuracy as good as data-driven approaches. Our methodology uses the three-dimensional reference interaction site model (3D-RISM), a statistical mechanical theory, to calculate Ca2+ ion density around protein structures, and the locations of the Ca2+ ions are obtained from the density. We have taken previously used datasets to assess the efficacy of our method as compared to previous works. Our accuracy is found to be 88%, comparable with the FEATURE program, one of the well-known data-driven methods. Moreover, our method being physical, the reasons for failures can be ascertained in most cases. We have thoroughly examined the failed cases using different structural and crystallographic measures, such as B-factor, R-factor, electron density map, and geometry at the binding site. It has been found that X-ray structures have issues in many of the failed cases, such as geometric irregularities and dubious assignment of ion positions. Our algorithm, along with the checks for structural accuracy, is a major step in predicting calcium ion positions in metalloproteins.

biophysics↗

Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

Deployment and access to state-of-the-art diagnostic technologies remains a fundamental challenge in providing equitable global cancer care to low-resource settings. The expansion of digital pathology in recent years and its interface with computational biomarkers provides an opportunity to democratize access to personalized medicine. Here we describe a low-cost platform for digital side capture and computational analysis composed of open-source components. The platform provides low-cost ($200) digital image capture from glass slides and is capable of real-time computational image analysis using an open-source deep learning (DL) algorithm and Raspberry Pi ($35) computer. We validate the performance of deep learning models performance using images captured from the open-source workstation and show similar model performance when compared against significantly more expensive standard institutional hardware.

pathology↗

Integration of metabolism and regulation reveals rapid adaptability to growth on non-native substrates.

Engineering synthetic heterotrophy (i.e., growth on non-native substrates) is key to the efficient bio-based valorization of renewable and waste substrates. Among these, engineering hemicellulosic pentose utilization has been well-explored in Saccharomyces cerevisiae (yeast) over several decades - yet the answer to what makes their utilization inherently recalcitrant remains elusive. Through implementation of a semi-synthetic regulon, we find that harmonizing cellular and engineering objectives are key to obtaining highest growth rates and yields with minimal metabolic engineering effort. Concurrently, results indicate that "extrinsic" factors - specifically, upstream genes that direct flux of pentoses into central carbon metabolism - are rate-limiting. We also reveal that yeast metabolism is innately highly adaptable to rapid growth on non-native substrates and that systems metabolic engineering (i.e., flux balancing, directed evolution, functional genomics, and network modeling) is largely unnecessary. We posit that the need for extensive engineering espoused by prior works is a consequence of unfortunate (albeit avoidable) antagonism between engineering and cellular objectives. We also found that deletion of endogenous genes to promote growth demonstrate inconsistent outcomes that are genetic-context- and condition-dependent. For the most part, these knockouts also lead to deleterious pleiotropic effects that decrease the robustness of strains against inhibitors and stressors associated with bioprocessing. Thus, at best, perturbation of "intrinsic" factors (e.g., native metabolic, regulatory genes) results in incremental and inconsistent benefits. At worst, they are detrimental. Overall, this work provides insight into the limitations and pitfalls to realizing efficient synthetic heterotrophy using traditional/systems metabolic engineering approaches, demonstrates the innate adaptability of yeast for metabolism of non-native substrates, and provides an alternate, novel, holistic (and yet minimalistic) approach based on integrating non-native metabolic genes with a native regulon system.

synthetic biology↗

Targeted drug delivery using Beeswax derived Albendazole-Loaded Solid Lipid Nanoparticles in Haemonchus contortus, an albendazole tolerant nematode.

Targeted delivery has not been achieved for anthelmintic treatment, resulting in the requirement of excess drugs dose leading to side effects and therapeutic resistance. Gastrointestinal helminths ingest lipid droplets from digestive fluid for energy production, development, and defense. Worms habit inspired us to develop biocompatible, oral administrable, bee-wax derived solid lipid nanoparticles (SLN) with excellent drug (albendazole) loading efficiency of 83.3 {+/-} 6.5 mg/g and sustained-release properties (86.4 {+/-} 3.9 % of drug released within 24 h). Rhodamine B-loaded SLN showed time-dependent release and distribution of dye in vivo in Haemonchous contortus. The intestinal sustained-release property was shown by the particles that caused enhancement of albendazole potency for up to 50 folds. Therefore, this formulation has immense potential as an anthelminthic drug delivery vehicle that will not only be able to reduce the dose but will also reduce the drug-induced side effects by enhancing the bioavailability of the drug. HighlightsO_LIAlbendazole-loaded Solid Lipid Nanoparticles (SLN-A) were formulated using Beeswax as stating material showing high drug loading capacity of 83 mg/g with sustained-release properties and 84 {+/-} 3 % of drug release within 24 h. C_LIO_LISLN-A particles showed 50 fold enhancement of Albendazole activity against Haemonchous contortus worm. C_LIO_LIRhodamine B-loaded SLN particles showed the specific uptake and in-vivo sustained release of dye in the worm. C_LI

microbiology↗

Targeting the nervous system of the parasitic worm, Haemonchus contortus, with quercetin.

High Prevalence of infection rate, limited choice of drugs and emerging resistance against these leads to an pressing need for the development of new antihelminthic drugs and drug targets. However, limited understanding of the physiology of worms has delayed the process substantially. Here, for the first time, we are reporting the tissue morphology of Haemonchus contortus, and target its nervous system with a quercetin, a naturally occurring flavonoid. Quercetin showed anthelmintic activity against all developmental stages of the nematode. Histological analysis demonstrated damage of various body parts including isthmus, brut, pseudocoele, and other organs. Mechanistic studies revealed the generation of oxidative stress and alteration of the stress response enzyme activities. Importantly, the time-dependent imaging of ROS-generation revealed the neuronal system as the primary target of quercetin in the adult worms, which eventually leads to the paralysis and death of the worms. This work demonstrates neuronal system as a novel drug target for quercetin. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/451932v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@9204caorg.highwire.dtl.DTLVardef@789005org.highwire.dtl.DTLVardef@1375539org.highwire.dtl.DTLVardef@1bc4c47_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract Schematic representation showing generation of Reactive Oxygen Stress in the nervous system of H. contortus due to quercetin treatment. C_FIG

biochemistry↗

Acquisition of the L452R mutation in the ACE2-binding interface of Spike protein triggers recent massive expansion of SARS-Cov-2 variants

The recent rise in mutational variants of SARS-CoV-2, especially with changes in the Spike protein, is of significant concern due to the potential ability for these mutations to increase viral infectivity, virulence and/or ability to escape protective antibodies. Here, we investigated genetic variations in a 414-583 amino acid region of the Spike protein, partially encompassing the ACE2 receptor-binding domain (RBD), across a subset of 570 nasopharyngeal samples isolated between April 2020 and February 2021, from Washington, California, Arizona, Colorado, Minnesota and Illinois. We found that samples isolated since November have an increased number of amino acid mutations in the region, with L452R being the dominant mutation. This mutation is associated with a recently discovered CAL.20C viral variant from clade 20C, lineage B.1.429, that since November-December 2020 is associated with multiple outbreaks and is undergoing massive expansion across California. In some samples, however, we found a distinct L452R-carrying variant of the virus that, upon detailed analysis of the GISAID database genomes, is also circulating primarily in California, but emerged even more recently. The newly identified variant derives from the clade 20A (lineage B.1.232) and is named CAL.20A. We also found that the SARS-CoV-2 strain that caused the only recorded case of infection in an ape - gorillas in the San Diego Zoo, reported in January 2021 - is CAL.20A. In contrast to CAL.20C that carries two additional to L452R mutations in the Spike protein, L452R is the only mutation found in CAL.20A. According to the phylogenetic analysis, however, emergence of CAL.20C was also specifically triggered by acquisition of the L452R mutation. Further analysis of GISAID-deposited genomes revealed that several independent L452R-carrying lineages have recently emerged across the globe, with over 90% of the isolates reported between December 2020 - February 2021. Taken together, these results indicate that the L452R mutation alone is of significant adaptive value to SARS-CoV-2 and, apparently, the positive selection for this mutation became particularly strong only recently, possibly reflecting viral adaptation to the containment measures or increasing population immunity. While the functional impact of L452R has not yet been extensively evaluated, leucine-452 is positioned in the receptor-binding motif of RBD, in the interface of direct contact with the ACE2 receptor. Its replacement with arginine is predicted to result in both a much stronger binding to the receptor and escape from neutralizing antibodies. If true, this in turn might lead to significantly increased infectivity of the L452R variants, warranting their close surveillance and in-depth functional studies.

microbiology↗

Rational design of human cathepsin L with efficient collagenolytic activity

Collagens are the main structural components of ECM and collagenolysis is vital for ECM remodelling, which is essential for normal organ homeostasis. Any dysregulation of this process can result in various pathological conditions. The degradation of the interstitial collagens is generally mediated by specific collagenases which are capable of cleaving at specific loci in the collagen triple helix. Lysosomal cysteine cathepsins have general housekeeping as well as some highly specialized functions. Amongst them, human cathepsin K is the only lysosomal cysteine protease which has potent collagenolytic activity against type I collagen. In this study, we have imparted collagenolytic property to another human cysteine protease, cathepsin L, by systematically engineering proline-specificity and GAG-binding surface in the protease. The designed proline-specific mutant shows high specificity for peptidyl substrate containing proline at P2 position but is incapable of cleaving collagen. However, when the proline-specific mutant is further engineered for GAG-binding surface, it can degrade type I collagen in presence of Chondroitin 4-Sulfate (C4-S). We also present high resolution crystal structures of these proline-specific (1.4 [A]) and collagen-specific (1.8 [A]) mutants. Finally docking studies with prolyl-peptidic substrate (Ala-Gly-Pro-Arg-Ala) at the active site and a GAG molecule (C4-S) at the GAG binding site enables us to identify key structural features responsible for collagenolytic activity of papain-like cysteine proteases. This study provides a rational approach to engineer an efficient collagenase from a human template enzyme which may have various noninvasive therapeutic implications with an expected additional advantage of immuno-compatiblity.

biochemistry↗

SHORT TERM EVOLUTIONARY DYNAMICS OF ESCHERICHIA COLI IN DIFFERENT CARBON ENVIRONMENTS

Starting from a parentalE. coli K-12 MG1655 strain, we evolve cells in five different carbon environments-glucose, arabinose, xylose, rhamnose, and a mixture of these four sugars (in a predefined ratio) for approximately 2,000 generations. At the end of the adaptation period, we quantify and compare growth dynamics of the strains in a variety of environments. The evolved strains show no specialized adaptation towards growth in the carbon medium in which they were evolved. Rather, in all environments, the evolved strains exhibited a reduced lag phase and an increased growth rate. Sequencing results reveal that these dynamical properties are not introduced via mutations in the precise loci associated with utilization of the sugar in which the bacterium was evolved in. These phenotypic changes are rather likely introduced via mutationselsewhere onthe genome. Sugar systems are known to exhibit hierarchy in utilization. Evolution in a defined environment, in our experimental framework, does not alter this hierarchy.

microbiology↗

Neuromodulatory circuit effects on Drosophila feeding behaviour and metabolism

Animals have evolved to maintain homeostasis in a changing external environment by adapting their internal metabolism and feeding behaviour. Metabolism and behaviour are coordinated by neuromodulation; a number of the implicated neuromodulatory systems are homologous between mammals and the vinegar fly, an important neurogenetic model. We investigated whether silencing fly neuromodulatory networks would elicit coordinated changes in feeding, behavioural activity and metabolism. We employed transgenic lines that allowed us to inhibit broad cellular sets of the dopaminergic, serotonergic, octopaminergic, tyraminergic and neuropeptide F systems. The genetically-manipulated animals were assessed for changes in their overt behavioural responses and metabolism by monitoring eleven parameters: activity; climbing ability; individual feeding; group feeding; food discovery; both fed and starved respiration; fed and starved lipid content; and fed/starved body weight. The results from these 55 experiments indicate that individual neuromodulatory system effects on feeding behaviour, motor activity and metabolism are dissociated.

animal behavior and cognition↗