Biology subjects

Sharma, S.

Publications and source records attributed to Sharma, S..

At least 325 records · Page 18Linked to original sources

bioRxiv2021

Novel Real-Time Library Search driven data acquisition strategy for identification and characterization of metabolites.

Identification and structural characterization of novel metabolites in drug discovery or metabolomics experiments is one of the most challenging tasks. Multi-level fragmentation (MSn) based approaches combined with various dissociation modes are frequently utilized for facilitating structure assignment of the unknown compounds. As each of the MS precursors undergoes MSn, the instrument cycle time can limit the total number of precursors analyzed in a single run for complex samples. This necessitates splitting data acquisition into several LC/MS analyses where the results obtained in one acquisition inform the experimental design for the successive experiment. Here we present a new LC/MS data acquisition strategy, termed Met-IQ, where the decision to perform an MSn acquisition is automatically made in real time based on the similarity between an acquired experimental MS2 spectrum and a spectrum in a reference spectral library. Each MS2 spectrum is searched in real time against the spectra for the known compounds of interest. If a similarity to a spectrum in the library is found, the instrument performs a decision-dependent event, such as an MS3 scan. Compared to an intensity-based, data-dependent MSn experiment, only a selective number of MS3 are triggered using Met-IQ, increasing the overall MS2 instrument sampling rate. We applied this strategy to an Amprenavir sample incubated with human liver microsomes. The number of MS2 scan events increased nearly 3.5-fold compared to the standard data dependent experiment where MS3 was triggered for each precursor ion, resulting in identification and structural characterization of 55% more unique metabolites. Furthermore, the MS3 precursor fragments were selected intelligently, focusing on higher mass fragments of sufficient intensity to maximize acquisition of MS3 data relevant for structure assignment. The described Met-IQ strategy is not limited to metabolism experiments, and can be applied to analytical samples where the detection of unknown compounds structurally related to a known compound(s) is sought.

pharmacology and toxicology↗

bioRxiv2021

Beneficial effects of two Ayurvedic formulations, Saraswata Ghrita and Kalyanaka Ghrita on survival and on toxic aggregates in Drosophila models of Huntington's and Alzheimer's disease

In order to understand the health promotive, rejuvenative and disease preventive approach of the Ayurvedic system of medicine in the light of current principles, we examined two Rasayana formulations, viz., Kalayanaka Ghrita (KG) and Saraswata Ghrita (SG) for their effects in Alzheimers (AD) and Huntingtons (HD) neurodegenerative disease models of Drosophila. Initial experiments involving feeding of wild type flies on food supplemented with 0.05%, 0.25% and 0.5% (w/v) KG or SG revealed 0.05% to be without any adverse effect while higher concentrations caused dose-dependent reduction in pupation frequency and adult life span in wild type flies. Rearing GMR-GAL4>127Q (HD model) and ey-GAL4>A{beta}42 (AD model) larvae and adults on 0.05% or 0.25% SG or KG supplemented food enhanced the otherwise significantly reduced larval lethality and enhanced their median life span, with the 0.25% SG or KG concentrations being less effective than the 0.05%. In parallel with the better larval survival and enhanced adult life span, feeding the HD and AD model larvae on either of the Ghrita supplemented food (0.05% and 0.25%) substantially reduced the polyQ aggregates or amyloid plaques, respectively, in the larval eye discs. The present first in vivo organismic model study results have clinical implications for the increasing burden of age-associated dementia and neurodegenerative diseases like AD and HD in human populations.

neuroscience↗

bioRxiv2021

Gigapixel behavioral and neural activity imaging with a novel multi-camera array microscope

The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once. We have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial scales simultaneously, ranging from cellular structures to large-group behavioral dynamics. By collecting data from up to 96 cameras, we computationally generate gigapixel-scale images and movies with a field of view over hundreds of square centimeters at 5um sensitivity. This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. The MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. Further, we demonstrate the ability to acquire dual color fluorescence video of multiple freely moving zebrafish, recording neural activity via ratiometric calcium imaging. Overall, the MCAM provides a powerful platform for investigating cellular and behavioral processes across a wide range of spatial scales by removing the bottlenecks imposed by single-camera image acquisition systems.

bioengineering↗

bioRxiv2021

SARS-CoV-2 variants of concern infect the respiratory tract and induce inflammatory response in wild-type laboratory mice

The emergence of new severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern poses a major threat to the public health due to possible enhanced virulence, transmissibility and immune escape. These variants may also adapt to new hosts in part through mutations in the spike protein. In this study, we evaluated the infectivity and pathogenicity of SARS-CoV-2 variants of concern in wild-type C57BL/6 mice. Six-week-old mice were inoculated intranasally with a representative virus from the original B.1 lineage or emerging B.1.1.7 and B.1.351 lineages. We also infected a group of mice with a mouse-adapted SARS-CoV-2 (MA10). Viral load and mRNA levels of multiple cytokines and chemokines were analyzed in the lung tissues on day 3 after infection. Our data show that unlike the B.1 virus, the B.1.1.7 and B.1.351 viruses are capable of infecting C57BL/6 mice and replicating at high concentrations in the lungs. The B.1.351 virus replicated to higher titers in the lungs compared to the B.1.1.7 and MA10 viruses. The levels of cytokines (IL-6, TNF-, IL-1{beta}) and chemokine (CCL2) were upregulated in response to the B.1.1.7 and B.1.351 infection in the lungs. Overall, these data indicate a greater potential for infectivity and adaptation to new hosts by emerging SARS-CoV-2 variants.

microbiology↗

bioRxiv2021

CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach

Lung cancer is one of the most invasive cancer affecting over a million of population. Non-small cell lung cancer constitutes up to 85% of all lung cancer cases. Therefore, it is important to identify prognostic biomarkers of NSCLC for therapeutic purpose. The complex behaviour of the NSCLC gene-regulatory network interaction is investigated using a network theoretical approach. We used eight NSCLC microarray datasets GSE19188, GSE118370, GSE10072, GSE101929, GSE7670, GSE33532, GSE31547, GSE31210 and meta analyse them to find differentially expressed genes (DEGs), construct protein-protein interaction (PPI) network, analysed its topological properties, significant modules using network analyser with MCODE, construct a PPI-MCODE network using the genes of the significant modules. We used topological properties such as Maximal Clique Centrality (MCC) and bottleneck from the PPI-MCODE network. We compare them with hub genes (those with highest degrees) to find key regulator (KR) gene. This result is also validated by finding of common genes among top twenty hub genes, genes with highest betweenness, closeness centrality and eigenvector values. It was found that two genes, CDK1 and HSP90AA1 were common in PPI-MCODE combined analysis, and it was also found that CDK1, HSP90AA1 and HSPA8 were common among hub and bottle neck properties and suggesting significant regulatory role of CDK1 in non-small cell lung cancer. After validation, the common genes among top twenty hubs and centrality values like Betweenness Centrality, Closeness Centrality and eigen vector properties, CDK1 again appeared as the common gene. Our study as a summary suggested CDK1 as key regulator gene in complex NSCLC network interaction using network theoretical approach and described the complex topological properties of the network.

systems biology↗

bioRxiv2021

Inhibition of HIV-1 immune modulation by small molecules targeting viral Nef-host CD80 interface

HIV-1 causes diverse immunomodulatory responses in the host, including the down-regulation of co-stimulatory proteins CD80/86, mediated by HIV-1 protein Nef, blunting T-cell activation. Using a screening cascade of biochemical and cell-based assays, we identified potent small molecules representing three chemical scaffolds namely amino pyrimidine, phenoxy acetamide and bi-aryl heteroaryl carbamate which target the protein-protein interaction interface of CD80/86 and Nef with sub-micromolar potency. These molecules restore CD80/86 surface levels in HIV-1-Nef infected antigen presenting cells and T-cell activation. Nef-CD80 interface and small molecule binding sites were mapped by using computational docking and structural studies, followed by validation by mutational analysis. This analysis resulted in the identification of two key residues, K99 and R111, which were associated with down-modulation of CD80 surface levels by Nef and important for small molecule binding. Targeting these interacting residues disabled Nef-mediated down-modulation of CD80 surface levels, consequently restoring T-cell activation. Thus, we validate a new target, the Nef-CD80/86 protein-protein interaction interface, with a potential to develop new inhibitors to counteract the immunomodulatory consequences of HIV-1.

microbiology↗

bioRxiv2021

A human stem cell resource to decipher the biochemical and cellular basis of neurodevelopmental defects in Lowe Syndrome

Human brain development is a complex process where multiple cellular and developmental events are co-ordinated to generate normal structure and function. Alteration in any of these events can impact brain development, manifesting clinically as neurodevelopmental disorders. Human genetic disorders of lipid metabolism often present with features of altered brain function. Lowe syndrome (LS), is a X-linked recessive disease with features of altered brain function. LS results from mutations in OCRL1 that encodes a phosphoinositide 5-phosphatase enzyme. However, the cellular mechanisms by which loss of OCRL1 leads to brain defects remain unknown. Human brain development involves several cellular and developmental features not conserved in other species and understanding such mechanisms remains a challenge. Rodent models of LS have been generated, but failed to recapitulate features of the human disease. Here we describe the generation of human stem cell lines from LS patients. Further, we present biochemical characterization of lipid metabolism in patient cell lines and demonstrate their use as a "disease-in-a-dish" model for understanding the mechanism by which loss of OCRL1 leads to altered cellular and physiological brain development.

cell biology↗

bioRxiv2021

LRcell: detecting the source of differential expression at the sub-cell type level from bulk RNA-seq data

Given most tissues are consist of abundant and diverse sub cell-types, an important yet unaddressed problem in bulk RNA-seq analysis is to identify at which sub cell-type(s) the differential expression occur. Single-cell RNA-sequencing (scRNA-seq) technologies can answer the question, but they are often labor-intensive and cost-prohibitive. Here, we present LRcell, a computational method aiming to identify specific sub-cell type(s) that drives the changes observed in a bulk RNA-seq experiment. In addition, LRcell provides pre-embedded marker genes computed from putative single-cell RNA-seq experiments as options to execute the analyses. Using three different real datasets, we show that LRcell successfully identifies known cell types involved in psychiatric disorders and LRcell is more sensitive than even the leading deconvolution methods.

bioinformatics↗

bioRxiv2021

Surface expressed Plasmodium circumsporozoite protein (CSP) modulates cellular flexibility and motility

Plasmodium falciparum circumsporozoite protein (CSP) is a critically required abundant surface protein of sporozoites and a major vaccine candidate. However, neither the structure nor the role of CSP in sporozoite motility is well understood. Our recent in vitro data, from single-molecule pulling experiments suggested a mechanically pliable structure for P. falciparum CSP. By engineering vegetative cells of the cellular slime-mold Dictyostelium discoideum with regulatable CSP surface expression, we report evidence for direct involvement of CSP towards conferring elastic properties and motility of the cells. With an increase in the surface-CSP levels by 5-8-fold, the Youngs moduli of the cells, observed through atomic force microscopy, decreased around 2-fold, with a concomitant increase in motility by about 2-fold. Interestingly, only full length CSP expression conferred maximal flexibility and motility, as opposed to repeat region alone or the flanking domains of CSP. The enhanced motility of the CSP-expressing cells was abrogated with anti-CSP antibodies as well as phospholipase cleavage of CSP, indicating specific contribution of CSP towards motility. Measurements of the Youngs moduli of Plasmodium berghei midgut (MG) and salivary gland (SG) sporozoites revealed an inverse correlation with CSP levels with a decrease from 1.1 kPa to 0.3 kPa as the CSP concentration doubled from MG to SG sporozoites. We hypothesize that high CSP level lowers the stiffness of sporozoites possibly through its pliable surface-coat, leading to cellular flexibility. These findings may explain a sporozoites developmental ability to enhance its CSP levels during transition from midgut to salivary glands to suit a migratory mode in the host, needed for successful hepatocyte invasion.

cell biology↗

bioRxiv2021

Spatiotemporal Dynamics of Stemphylium Leaf Blight and Potential Inoculum Sources in New York Onion Fields

Stemphylium leaf blight (SLB) caused by Stemphylium vesicarium is the dominant foliar disease affecting large-scale onion production in New York. The disease is managed by fungicides, but control failures are prevalent and recently attributed to fungicide resistance. Little is known of the relative role of inoculum sources in initiation and spread of SLB epidemics. The spatial and spatiotemporal dynamics of SLB epidemics in six onion fields were evaluated along linear transects in 2017 and 2018. Average SLB incidence increased from 0 to 100% throughout the cropping seasons with an average final lesion length of 28.3 cm. Disease progress was typical of a polycyclic epidemic and the logistic model provided the best fit to 83.3% of the datasets. Spatial patterns were better described by the beta-binomial than binomial distribution in half of the datasets and random patterns were more frequently observed by the index of dispersion. Geostatistical analyses of spatial pattern also found a low frequency of datasets with aggregation. Spatiotemporal analysis of epidemics detected that the aggregation was influenced by disease incidence. However, diseased units were not associated with the previous time period according to the spatiotemporal association function of SADIE. Variable spatial patterns suggested mixed inoculum sources dependent upon location, and likely an external inoculum source at the sampling scale used in this study. Plate testing of 28 commercially available organic onion seedlots from 2017 and 2018 did not detect S. vesicarium. This finding suggests that although S. vesicarium has been reported as seed transmitted, this is unlikely to be a significant inoculum source in commercially available organic seed lots and even less so in fungicide-treated seed used to establish conventional fields. A small-plot replicated trial was also conducted in each of two years to quantify the effect of S. vesicarium-infested onion residue on SLB epidemics in a field isolated from other onion fields. SLB incidence was significantly reduced in plots without residue compared to those in which residue remained on the soil surface. Burial of infested residue also significantly reduced epidemic progress in one year. The effect of infested onion residue on SLB epidemics in the subsequent onion crop suggests rotation or residue management may have a substantial effect on epidemics. However, the presence of an inoculum source external to fields in onion production regions as indicated by a lack of spatial aggregation may reduce the efficacy of in-field management techniques.

plant biology↗

bioRxiv2021

Exogenous pigments shield microorganisms from spaceflight-induced changes

Research has indicated that pigments commonly produced by microorganisms may be protective against the environmental stresses inherent to spaceflight. However, few studies have directly tested the protective capabilities of microbial pigments applied externally as shielding materials. In this study, liquid cultures of Bacillus subtilis were shielded by various pigment solutions, and solid media cultures of Bacillus subtilis were co-inoculated with the highly pigmented microorganisms Aspergillus niger and Neurospora crassa. These experiments were conducted in a compact, automated payload aboard the International Space Station (ISS) interior for 30 days. Post-flight phenotypic analyses of liquid cultures showed that solutions of carotenoid pigments were effective at minimizing detrimental effects of spaceflight. Elevated growth rate was observed for solid cultures, and distinct morphology changes were identified in both liquid and solid samples and quantified as markers of spaceflight-induced stress. These findings collectively progress our understanding of microbial pigments for the development of space-related applications.

microbiology↗

bioRxiv2021

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↗

bioRxiv2021

Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps

Felsensteins bootstrap resampling approach, applied in thousands of research articles, imposes a high computational burden for very long sequence alignments. We show that the bootstrapping of a collection of little subsamples, coupled with median bagging of subsample confidence limits, produces accurate bootstrap confidence for phylogenetic relationships in a fraction of time and memory. The little bootstraps approach will enhance rigor, efficiency, and parallelization of big data phylogenomic analyses.

evolutionary biology↗

bioRxiv2021

Evolutionary Sparse Learning for phylogenomics

AO_SCPLOWBSTRACTC_SCPLOWWe introduce a supervised machine learning approach with sparsity constraints for phylogenomics, referred to as evolutionary sparse learning (ESL). ESL builds models with genomic loci--such as genes, proteins, genomic segments, and positions--as parameters. Using the Least Absolute Shrinkage and Selection Operator (LASSO), ESL selects only the most important genomic loci to explain a given phylogenetic hypothesis or presence/absence of a trait. ESL does not directly model conventional parameters such as rates of substitutions between nucleotides, rate variation among positions, and phylogeny branch lengths. Instead, ESL directly employs the concordance of variation across sequences in an alignment with the evolutionary hypothesis of interest. ESL provides a natural way to combine different molecular and non-molecular data types and incorporate biological and functional annotations of genomic loci directly in model building. We propose positional, gene, function, and hypothesis sparsity scores, illustrate their use through an example and suggest several applications of ESL. The ESL framework has the potential to drive the development of a new class of computational methods that will complement traditional approaches in evolutionary genomics. ESLs fast computational times and small memory footprint will also help democratize big data analytics and improve scientific rigor in phylogenomics.

evolutionary biology↗

bioRxiv2021

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↗

bioRxiv2021

Xrn1 is a deNADding Enzyme Modulating Mitochondrial NAD Levels

The existence of non-canonical nicotinamide adenine diphosphate (NAD) 5-end capped RNAs is now well established. Nevertheless, the biological function of this nucleotide metabolite cap remains elusive. Here, we show that the yeast Saccharomyces cerevisiae cytoplasmic 5-end exoribonuclease Xrn1 is also a NAD cap decapping (deNADding) enzyme that releases intact NAD and subsequently degrades the RNA. The significance of Xrn1 deNADding is evident in a deNADding deficient Xrn1 mutant that still retains its 5-monophosphate exonuclease activity. This mutant reveals Xrn1 deNADding is necessary for normal growth on non-fermenting sugar and is involved in modulating mitochondrial NAD-capped RNA levels and in turn intramitochondrial NAD levels. Our findings uncover a functional role for mitochondrial NAD-capped RNAs as a reservoir to maintain overall NAD homeostasis. We propose NAD-capped RNAs function as a cistern for mitochondrial NAD with Xrn1 serving as a rheostat for NAD-capped RNAs.

molecular biology↗

bioRxiv2021

Recurrent erosion of COA1/MITRAC15 demonstrates gene dispensability in oxidative phosphorylation

Skeletal muscle fibers rely upon either oxidative phosphorylation or glycolytic pathway to achieve muscular contractions that power mechanical movements. Species with energy-intensive adaptive traits that require sudden bursts of energy have a greater dependency on fibers that use the glycolytic pathway. Glycolytic fibers have decreased reliance on OXPHOS and lower mitochondrial content compared to oxidative fibers. Hence, we hypothesized that adaptive gene loss might have occurred within the OXPHOS pathway in lineages that largely depend on glycolytic fibers. The protein encoded by the COA1/MITRAC15 gene with conserved orthologs found in budding yeast to humans promotes mitochondrial translation. We show that gene disrupting mutations have accumulated within the COA1/MITRAC15 gene in the cheetah, several species of galliforms, and rodents. The genomic region containing COA1/MITRAC15 is a well-established evolutionary breakpoint region in mammals. Careful inspection of genome assemblies of closely related species of rodents and marsupials suggests two independent COA1/MITRAC15 gene loss events co-occurring with chromosomal rearrangements. Besides recurrent gene loss events, we document changes in COA1/MITRAC15 exon structure in primates and felids. The detailed evolutionary history presented in this study reveals the intricate link between skeletal muscle fiber composition and dispensability of the chaperone-like role of the COA1/MITRAC15 gene.

evolutionary biology↗

bioRxiv2021

Rapid Biomarker Screening of Alzheimer's Disease by Machine Learning and Graphene-Assisted Raman Spectroscopy

As the most common cause of dementia, the study of Alzheimers disease (AD) faces challenges in terms of understanding the cause, monitoring the pathogenesis, and developing early diagnosis and effective treatment. Rapid and accurate identification of AD biomarkers in the brain is critical to provide key insights into AD and facilitate the development of early diagnosis methods. In this work, we developed a platform that enables a rapid screening of AD biomarkers by employing graphene-assisted Raman spectroscopy and machine learning interpretation in AD transgenic animal brains. Specifically, we collected Raman spectra on slices of mouse brains with and without AD and used machine learning to classify AD and non-AD spectra. By contacting monolayer graphene with the brain slices, the accuracy was significantly increased from 77% to 98% in machine learning classification. Further, using linear supporting vector machine (SVM), we identified a spectral feature importance map that reveals the importance of each Raman wavenumber in classifying AD and non-AD spectra. Based on this spectral feature importance map, we identified AD biomarkers including A{beta} and tau proteins, and other potential biomarkers, such as triolein, phosphatidylcholine, and actin, which have been confirmed by other biochemical studies. Our Raman-machine learning integrated method with interpretability is promising to greatly accelerate the study of AD and can be extended to other tissues, biofluids, and for various other diseases.

neuroscience↗