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Mahajan, S.

Publications and source records attributed to Mahajan, S..

At least 37 records · Page 2Linked to original sources

Comparative analysis of serological assays and sero-surveillance for SARS-CoV-2 exposure in US cattle

Coronavirus disease-2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) continues to pose a significant threat to public health globally. Notably, SARS-CoV-2 demonstrates a unique capacity to infect various non-human animal species, documented in captive and free-living animals. However, experimental studies revealed low susceptibility of domestic cattle (Bos taurus) to ancestral B.1 lineage SARS-CoV-2 infection, with limited viral replication and seroconversion. Despite the emergence of viral variants with potentially altered host tropism, recent experimental findings indicate greater permissiveness of cattle to SARS-CoV-2 Delta variant infection compared to other variants, though with limited seroconversion and no clear evidence of transmission. While some studies detected SARS-CoV-2 antibodies in cattle in Italy and Germany, there is no evidence of natural SARS-CoV-2 infection in cattle from the United States or elsewhere. Since serological tests have inherent problems of false positives and negatives, we conducted a comprehensive assessment of multiple serological assays on over 600 cattle serum samples, including pre-pandemic and pandemic cattle sera. We found that SARS-CoV-2 pseudovirus neutralization assays with a luciferase reporter system can produce false positive results, and care must be taken to interpret serological diagnosis using these assays. We found no serological evidence of natural SARS-CoV-2 infection or transmission among cattle in the USA. Hence, it is critical to develop more reliable serological assays tailored to accurately detect SARS-CoV-2 antibodies in cattle populations and rigorously evaluate diagnostic tools. This study underscores the importance of robust evaluation when employing serological assays for SARS-CoV-2 detection in cattle populations.

microbiology↗

Determining susceptibility loci in triple negative breast cancer using a novel pre-clinical model

Breast cancer (BC) is the most common cancer and the second cause of death in US women. Our lack of understanding of how genetic variants affect molecular mechanisms that mediate BC aggression poses a substantial obstacle to advancements in cancer diagnosis and therapy. To examine genetic variants on BC traits, a novel murine model was created with robust phenotypic and genomic variation. The FVB C3(1)-T-antigen ("C3Tag") mouse develops spontaneous tumors in the mammary glands of female mice with a mean latency of 4-5 months of age. This genetically engineered mouse model (GEMM) is well established to resemble human basal-like TNBC. TNBC is an aggressive subtype with few clinical approaches and poor patient outcomes. Thus, to model human heterogeneity in BC outcomes, we systematically crossed the C3Tag GEMM into the BXD recombinant inbred family - the largest and best characterized genetic reference population. The new model is termed "BXD-BC" and F1 hybrids of the cross have isogenic genomes that are reproducible. BXD-BCs are a potent tool to determine the impact of genetic modifiers on BC tumor traits. We hypothesized that examination of BXD-BC GEMMs will enable the identification of susceptibility loci, candidate genes, and molecular networks that underlie variation of multiple BC phenotypes. Using N=29 BXD-BC strains, we demonstrated significant heritable variations in the severity of TNBC characteristics such as tumor latency, multiplicity, and survival. Interestingly, 2 BXD-BC strains never developed tumors out to 1 year of age. Thus, BXD-BC strains demonstrate variance in cancer susceptibility and progression compared to the parent C3Tag GEMM, indicating the presence of genetic modifiers. Through an unbiased systematic quantification of breast cancer severity across BXD-BC hybrids, we identified several significant quantitative trait loci (QTL) and candidate genes for specific tumor traits. In combination with public human GWAS datasets, we defined syntenic regions, candidate genes, and underlying networks through cross-species systems genetics analyses to demonstrate the translational validity of conserved, biologically relevant, and targetable candidates. Our findings suggest conserved candidates predicting TNBC patient survival. In sum, the BXD-BC resource is an innovative, reliable, and robust preclinical model that reflects robust genetic heterogeneity. Using cutting edge systems genetics, we have identified genetic modifiers of BC phenotypic variation that could be targeted to advance therapeutic limitations or as biomarkers of risk or response to therapy.

genetics↗

Growth inhibitory factor/metallothionein-3 is a sulfane sulfur-binding protein

Cysteine-bound sulfane sulfur atoms in proteins have received much attention as key factors in cellular redox homeostasis. However, the role of sulfane sulfur in zinc regulation has been underinvestigated. We report here that cysteine-bound sulfane sulfur atoms serve as ligands to hold and release zinc ions in growth inhibitory factor (GIF)/metallothionein-3 (MT-3) with an unexpected C-S-S-Zn structure. Oxidation of such a zinc/persulfide cluster in Zn7GIF/MT-3 results in the release of zinc ions, and intramolecular tetrasulfide bridges in apo-GIF/MT-3 efficiently undergo S-S bond cleavage by thioredoxin to regenerate Zn7GIF/MT-3. Three-dimensional molecular modeling confirmed the critical role of the persulfide group in the thermostability and Zn-binding affinity of GIF/MT-3. The present discovery raises the fascinating possibility that the function of other Zn-binding proteins is controlled by sulfane sulfur.

biochemistry↗

Genome sequencing of Syzygium cumini (Jamun) reveals adaptive evolution in secondary metabolism pathways associated with its medicinal properties

Syzygium cumini, also known as jambolan or jamun, is an evergreen tree widely known for its medicinal properties, fruits, and ornamental value. To understand the genomic and evolutionary basis of its medicinal properties, we sequenced S. cumini genome, which is the largest genome sequenced for the first time from the worlds largest tree genus Syzygium using Oxford Nanopore and 10x Genomics sequencing technologies. The tetraploid and highly heterozygous draft genome of S. cumini had a total size of 709.9 Mbp with 61,195 coding genes. The phylogenetic position of S. cumini was established using a comprehensive genome-wide analysis including species from 18 Eudicot plant orders. The existence of neopolyploidy in S. cumini was evident from the higher number of coding genes and expanded gene families compared to the other two sequenced species from this genus. Comparative evolutionary analyses showed the adaptive evolution of genes involved in the phenylpropanoid-flavonoid (PF) biosynthesis pathway and other secondary metabolites biosynthesis such as terpenoid and alkaloid in S. cumini, along with genes involved in stress tolerance mechanisms, which was also supported by leaf transcriptome data generated in this study. The adaptive evolution of secondary metabolism pathways is associated with the wide range of pharmacological properties, specifically the anti-diabetic property, of this species conferred by the bioactive compounds that act as nutraceutical agents in modern medicine.

genomics↗

Trafficking Machinery is Rapidly Primed to Facilitate Polarised IL-6 Secretion in Dendritic Cells

The mounting of an adaptive immune response is critical for removing pathogens from the body and generating immunological memory. Central to this process are myeloid cells, which sense pathogens through a variety of cell surface receptors, engulf and destroy pathogens and become activated. Activation is essential for the release of cytokines as well as the cell-surface presentation of pathogen-derived-antigens. Activation-induced cytokine release by myeloid cells requires a complex series of molecular events to facilitate cytokine expression. However, although the transcriptional machinery regulating cytokine expression is well defined, it is becoming increasingly clear that trafficking machinery has to be re-programmed through post-translational modifications to dynamically regulate cytokine secretory events. We demonstrate through quantitative total internal-resonance fluorescence (TIRF) microscopy that short-term stimulation with the pathogenic stimulus lipopolysaccharide (LPS) is sufficient to up-regulate IL-6 secretion rates in human blood monocyte-derived dendritic cells and that this secretion is asymmetric and thus polarised. Using bioinformatics analysis of our phosphoproteomic data, we demonstrate that LPS stimulation of monocyte-derived dendritic cells rapidly reprograms SNARE-associated membrane trafficking machinery, through phosphorylation/dephosphorylation events. Finally, we link this enhanced rate of secretion to the phosphorylation of the SNARE protein VAMP3 at serine 44 (48 in mice), by showing that this phosphorylation drives the release of VAMP3 by its chaperone WDFY2 and the complexing of VAMP3 with STX4 at the plasma membrane.

cell biology↗

Cofilin-Driven Nuclear Deformation Drives Dendritic Cell Migration through the Extracellular Matrix

To mount an adaptive immune response, dendritic cells must process antigens, migrate to lymph nodes and form synapses with T cells. Critical to 3D migration and mechano-sensing is the nucleus, which is the size-limiting barrier for navigation through gaps in the extracellular matrix. Here, we show that inflammatory activation of dendritic cells leads to the nucleus becoming spherically deformed, adopting a raison-like shape and enables dendritic cells to overcome the typical 2 - 3-micron pore limit for 3D-migration. We show that the nuclear shape-change is partially attained through reduced cell adhesion, whereas improved migration through extracellular matrix is achieved through reprogramming of the actin cytoskeleton. Specifically we show that cofilin-1 is phosphorylated at serine 41 drives the assembly of a Cofilin-ActoMyosin (CAM)-ring proximal to the nucleus and enhancing migration through 3D collagen gels. In summary, these data describe novel signaling events through which dendritic cells simultaneously deform their nucleus and enhance their migratory capacity; molecular events that may be re-capitulated in other contexts such as wound healing and cancer.

cell biology↗

Genome of Phyllanthus emblica: the medicinal plant Amla with super antioxidant properties

Phyllanthus emblica or Indian gooseberry, commonly known as amla, is an important medicinal horticultural plant used in traditional and modern medicines. It bears stone fruits with immense antioxidant properties due to being one of the richest natural sources of vitamin C and numerous flavonoids. This study presents the first genome sequencing of this species performed using 10x Genomics and Oxford Nanopore Technology. The draft genome assembly was 519 Mbp in size and consisted of 4,384 contigs, N50 of 597 Kbp, 98.4% BUSCO score and 37,858 coding sequences. This study also reports the genome-wide phylogeny of this species with 26 other plant species that resolved the phylogenetic position of P. emblica. The presence of three ascorbate biosynthesis pathways including L-galactose, galacturonate and myo-inositol pathways was confirmed in this genome. A comprehensive comparative evolutionary genomic analysis including gene family expansion/contraction and identification of multiple signatures of adaptive evolution provided evolutionary insights into ascorbate and flavonoid biosynthesis pathways and stone fruit formation through lignin biosynthesis. The availability of this genome will be beneficial for its horticultural, medicinal, dietary, and cosmetic applications and will also help in comparative genomics analysis studies.

genomics↗

High-quality genome assemblies provide clues on the evolutionary advantage of blue peafowl over green peafowl

An intriguing example of differential adaptability is the case of two Asian peafowl species, Pavo cristatus (blue peafowl) and Pavo muticus (green peafowl), where the former has a "Least Concern" conservation status and the latter is an "Endangered" species. To understand the genetic basis of this differential adaptability of the two peafowl species, a comparative analysis of these species is much needed to gain the genomic and evolutionary insights. Thus, we constructed a high-quality genome assembly of blue peafowl with an N50 value of 84.81 Mb (pseudochromosome-level assembly), and a high-confidence coding gene set to perform the genomic and evolutionary analyses of blue and green peafowls with 49 other avian species. The analyses revealed adaptive evolution of genes related to neuronal development, immunity, and skeletal muscle development in these peafowl species. Major genes related to axon guidance showed adaptive evolution in peafowl species. However, blue peafowl showed the presence of 42% more coding genes compared to the green peafowl along with a higher number of unique gene clusters, segmental duplicated genes and expanded gene families, and comparatively higher evolution in neuronal and developmental pathways. Blue peafowl also showed longer branch length compared to green peafowl in the species phylogenetic tree. These genomic insights obtained from the high-quality genome assembly of P. cristatus constructed in this study provide new clues on the superior adaptability of the blue peafowl over green peafowl despite having a recent species divergence time.

genomics↗

Mechanisms of SARS-CoV-2 Inactivation using UVC Laser Radiation

Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) has had a tremendous impact on humanity. Prevention of transmission by disinfection of surfaces and aerosols through a chemical-free method is highly desirable. Ultraviolet C (UVC) light is uniquely positioned to achieve inactivation of pathogens. We report the inactivation of SARS-CoV-2 virus by UVC radiation and explore its mechanisms. A dose of 50mJ/cm2 using a UVC laser at 266nm achieved an inactivation efficiency of 99.89%, whilst infectious virions were undetectable at 75mJ/cm2 indicating >99.99% inactivation. Infection by SARS-CoV-2 involves viral entry mediated by the spike glycoprotein (S), and viral reproduction, reliant on translation of its genome. We demonstrate that UVC radiation damages ribonucleic acid (RNA) and provide in-depth characterisation of UVC-induced damage of the S protein. We find that UVC severely impacts SARS-CoV-2 spike proteins ability to bind human angiotensin-converting enzyme 2 (hACE2) and this correlates with loss of native protein conformation and aromatic amino acid integrity. This report has important implications for the design and development of rapid and effective disinfection systems against the SARS-CoV-2 virus and other pathogens.

microbiology↗

Targeting host protein G3BP1 for the discovery of novel antiviral inhibitors against the Chikungunya virus

Molecular interactions of Chikungunya virus (CHIKV) nsP3 with the host G3BP1 stress granule (SG) protein is crucial for CHIKV replication. NsP3 binds to the nuclear transport factor 2 (NTF2)-like domain of G3BP1 via its two FGDF motifs, unsettling SGs formation. The present study identified seven small molecules targeting the FGDF binding pocket of G3BP1 using structure-based computer-aided drug discovery. All seven molecules exhibited good binding affinities in the range of [~]3.4 to [~]98M towards NTF2-like G3BP1 domain. Furthermore, identified molecules demonstrate dose-dependent inhibition in CHIKV infected Vero cells (EC50: 0.40 to 7.39{micro}M), and reduced SGs formation in these cells. These results highlight G3BP1 protein as a potential CHIKV therapeutic target and offer potential prospective for developing treatment for CHIKV disease.

microbiology↗

Uncertainty revealed by delayed responses during olfactory matching

Matching of olfactory stimuli involves both sensory and higher cognitive functioning. Different decision processes such as detection and discrimination, along with holding the perceived information are involved during the matching process. Accuracy and decision times, the interdependent readouts, can define the uncertainty involved in matching of sensory stimuli. To probe sensory and cognitive functions involving olfactory system in human subjects, we have developed a novel olfactory matching paradigm using an automated custom-built olfactory-action meter. With precise and consistent odor delivery and real-time data analysis, our system automates the entire process without any intervention by the experimenter, making it suitable as a diagnostic tool for quantifying olfactory and neurocognitive fitness. In around 400 healthy human subjects, with mean detection accuracy of 90%, we observed significantly better olfactory matching performance for simple monomolecular odors, in comparison to complex binary odor mixtures. Odor matching accuracy declined significantly with the increase in odor complexity. Olfactory matching was more rapid when subjects made correct versus incorrect decisions, indicating perceptual certainty. Subjects also took longer matching time for complex odors compared to simple odor stimuli. Thus, olfactory matching that provides a combined readout of sensory and cognitive fitness, establishes a direct link between the performance accuracy and the certainty of decisions.

neuroscience↗

Genome sequencing and de novo and reference-based genome assemblies of Bos indicus breeds

Bos indicus is a domestic cattle species with many indigenous breeds found in India and is important for dairy, draught work, and other household activities. Distinct phenotypic differences are observed among the breeds of this species; however, their whole genome sequences were not available. Therefore, in this study, we performed the whole genome sequencing using Illumina short-read technology to construct draft genome assemblies of four B. indicus breeds; Ongole, Kasargod Dwarf, Kasargod Kapila, and Vechur, of which Vechur is known as the smallest cow of the world. We also report the first de novo genome assemblies of these native B. indicus breeds. Further, we constructed the 18S rRNA marker gene sequences of these B. indicus breeds, which were not yet known. Genomic analysis helped to identify the distinct bovine phenotypic characteristics-related and other biological process-related genes in this species compared to B. taurus, and to gain comparative genomic insights between the dwarf and non-dwarf breeds of this species.

genomics↗

Persistent homology analysis distinguishes pathological bone microstructure in non-linear microscopy images

We present a topological method for the detection and quantification of bone microstructure from non-linear microscopy images. Specifically, we analyse second harmonic generation (SHG) and two photon excited autofluorescence (TPaF) images of bone tissue which capture the distribution of matrix (fibrillar collagen) structure and autofluorescent molecules, respectively. Using persistent homology statistics with a signed Euclidean distance transform filtration on binary patches of images, we are able to quantify the number, size, distribution, and crowding of holes within and across samples imaged at the microscale. We apply our methodology to a previously characterized murine model of skeletal pathology whereby vascular endothelial growth factor expression was deleted in osteocalcin-expressing cells (OcnVEGFKO) presenting increased cortical porosity, compared to wild type (WT) littermate controls. We show significant differences in topological statistics between the OcnVEGFKO and WT groups and, when classifying the males, or females respectively, into OcnVEGFKO or WT groups, we obtain high prediction accuracies of 98.7% (74.2%) and 77.8% (65.8%) respectively for SHG (TPaF) images. The persistence statistics that we use are fully interpretable, can highlight regions of abnormality within an image and identify features at different spatial scales.

bioinformatics↗

Elucidation of the antiviral mechanism of natural therapeutic molecules Herbacetin and Caffeic acid phenethyl ester against Chikungunya and Dengue virus

Chikungunya (CHIKV) and dengue (DENV) viruses pose a public health risk and lack antiviral treatment. Structure-based virtual screening of natural MTase substrates library identified herbacetin (HC) and caffeic acid phenethyl ester (CAPE) as potential CHIKV nsP1 and DENV NS5 MTase inhibitors. Binding affinities and MTase inhibition were confirmed using purified proteins. Crystal structure of DENV3 NS5 MTase and CAPE complex revealed CAPE binding at GTP and cap 0 RNA sites. Interestingly, HC and CAPE depleted polyamines, which are crucial for RNA virus replication, and effectively diminished replication with IC50 values of [~]13.44 {micro}M and [~]0.57 {micro}M against CHIKV, and [~]7.24 {micro}M and [~]1.01 {micro}M against DENV, respectively. Polyamine addition did not reverse the antiviral effects, suggesting a dual inhibition mechanism. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/494145v5_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1f579eforg.highwire.dtl.DTLVardef@11862eborg.highwire.dtl.DTLVardef@67276org.highwire.dtl.DTLVardef@144c7f8_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Multi-excitation Raman Spectroscopy Complements Whole Genome Sequencing for Rapid Detection of Bacterial Infection and Resistance in WHO Priority Pathogens

Current methods for diagnosing acute and complex infections mostly rely on culture-based methods and, for biofilms, fluorescence in-situ hybridization. These techniques are labor-intensive and can take 2-4 days to return a test result, especially considering an extra culturing step required for the antibiotic susceptibility testing (AST). This places a significant burden on healthcare providers, delaying treatment and leading to adverse patient outcomes. Here, we report the complementary use of our newly developed multi-excitation Raman spectroscopy (ME-RS) method with whole-genome sequencing (WGS). Four WHO priority pathogens are AST phenotyped and their antimicrobial resistance (AMR) profile determined by WGS. On application of ME-RS method we find high correlation with the WGS characterization. Highly accurate classification based on the species (98.93%), wild-type/non-wild type (99.45%), and presence or absence of thick peptidoglycan layers in cell walls (100%), as well as at the individual strain level (99.29%). These results clearly demonstrate the potential of ME-RS as a rapid and first-stage tool for species, resistance and strain-level classification which can be followed up by WGS for confirmation. Such a workflow can facilitate efficient antimicrobial stewardship to handle and prevent the spread of AMR.

microbiology↗

Whole-Genome Sequence of African Swine Fever Virus isolate from India provides insights into diversity and evolution

African swine fever (ASF) was first reported in 1921, and since then has posed a major threat to the world pig industry and still remains a major challenge as there is no vaccine or therapy available. In May 2020, the first incidence of ASF was recorded in India, followed by a number of outbreaks in the north eastern part of India. In this study, we report the first whole genome of an Indian isolate of ASF virus (ASF/IND/20/CAD/543) using next generation sequencing and compared with the other ASFV complete genome. On phylogenetic analysis, the virus was assigned to genotype II on the basis of p72 genotyping. However, the whole genome based phylogeny distinguished it from other genotype II isolates of clade 1.1.1. This study adds to our understanding of ASFVs genetic diversity and molecular evolution.

microbiology↗

Systemic infection of SARS-CoV-2 in free ranging Leopard (Panthera pardus fusca) in India

We report patho-morphological and virological characterization of SARS-CoV-2 in naturally infected, free ranging Indian Leopard (Panthera pardus fusca). Whole genome sequence analysis confirmed infection of Delta variant of SARS-CoV-2, possibly spill over from humans, but the case was detected when infection level had dropped significantly in human population. This report underlines the need for intensive screening of wild animals for keeping track of the virus evolution and development of carrier status of SARS-CoV-2 among wildlife species.

microbiology↗

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa trees reveal evolutionary mechanisms of longevity

Ficus benghalensis (Indian banyan tree) and Ficus religiosa (Peepal) trees are well-known for their long lifespan, traditional significance, and medicinal properties. Therefore, to understand the genomic and evolutionary aspect of these characteristics the whole genomes of these two Ficus species were sequenced using 10x Genomics and Oxford Nanopore sequencing platforms. The draft genome assemblies of F. benghalensis (392.89 Mbp genome containing 25,016 high-confidence coding genes), and F. religiosa (332.97 Mbp genome containing 23,929 high-confidence coding genes) were constructed. We also established the genome-wide phylogenetic position of the two Ficus trees with respect to 46 other Angiosperm plant species and studied the comparative population demographic history of these two species to show a population bottleneck event ~0.8 Mya for both the species. We also identified 7,468 orthogroups across 16 phylogenetically closer Eudicot plant species including F. benghalensis and F. religiosa. Comparative evolutionary analyses using these orthogroups, gene family expansion/contraction analysis, and gene duplication analysis showed adaptive evolution in genes involved in cellular pathways and mechanisms that are central to plant growth and development and provide genomic insights into longevity and ecological significance of these large woody trees.

genomics↗