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Yadav, A. K.

Publications and source records attributed to Yadav, A. K..

18 recordsLinked to original sources

Assessment of homing gene drive efficiency using multiplexed sgRNAs targeting doublesex in the global crop pest Drosophila suzukii

Drosophila suzukii (Matsumura, 1931, Diptera: Drosophilidae) is a globally invasive pest of soft-skinned fruits that is currently controlled largely through the use of broad-spectrum insecticides. Increasing resistance to insecticides and regulatory pressures have motivated the development of genetic control strategies. We previously developed a CRISPR/Cas9-based homing gene drive targeting the coding sequence of the female-specific exon of the sex-determination gene doublesex, achieving highly efficient inheritance (94-99%) in both male and female germlines. A major limitation of homing gene drives is the formation of resistant alleles that evade cleavage yet retain gene function. Multiplexing guide RNAs (gRNAs) could reduce the formation of such functional resistance alleles. Here, we generated and tested homing constructs expressing one, two, or three gRNAs targeting different regions of the female-specific exon of doublesex, including the intron-exon splice junction. A single gRNA targeting the splice junction supported high inheritance in males but showed reduced efficiency in females. Combining this gRNA with a coding sequence-targeting guide further reduced drive efficiency, particularly in the female germline. Constructs expressing two gRNAs performed similarly whether guides were linked by transfer RNA (tRNA) sequences or expressed from independent promoters. Constructs expressing three gRNAs using tRNA processing showed consistently low drive inheritance in both sexes and low frequencies of target-site modification among non-drive progeny, consistent with reduced cleavage activity. Inheritance was significantly higher in male than female germlines for several constructs, indicating that germline context strongly influences drive performance. Our findings show that the strategy used for multi-gRNA expression, target site choice and sex-specific germline environments can influence gene drive efficiency, emphasizing the need to optimize construct design in the target species. Author SummarySpotted wing drosophila (Drosophila suzukii) is an invasive pest that damages soft skinned fruits such as berries and cherries. Control currently relies heavily on insecticides, but resistance and regulatory concerns are increasing the need for alternative approaches. We are developing genetic strategies for suppression of pest populations. We previously developed a gene editing system targeting a female-essential gene that showed very high biased inheritance (gene drive). However, a key challenge is that the system can sometimes create resistant individuals that are unaffected. One possible solution is to use using multiple gRNAs--molecules that direct gene editing to specific DNA sequences--to reduce the formation of these resistant individuals. In this study we found that using more than one gRNA reduced the efficiency of inheritance, especially in females. However, activity could be influenced by exactly where the DNA is targeted and how the guide RNAs are expressed. These results show that gene drive performance depends strongly on biological context and design choices, and that strategies must be carefully optimized in the target species.

genetics↗

Smartphone-Validated Portable Paper-Based Device Integrated with an Electropolymerized Molecularly Imprinted Polymer for Serotonin Detection in Serum Samples

Accurate and decentralized quantification of serotonin, also known as 5-hydroxytryptamine (5-HT), in biological fluids is critically important for the diagnosis, prognosis, and therapeutic monitoring of neurological and psychiatric disorders. However, conventional analytical methods generally rely on centralized laboratory infrastructure, skilled personnel, and labor-intensive sample processing, which restrict their applicability in rapid near-patient and point-of-care settings. Herein, we report a portable molecularly imprinted polymer (MIP)-based electrochemical sensing platform for selective and on-site detection of serotonin using screen-printed carbon electrodes (SPCEs). The biomimetic recognition interface was fabricated through direct electropolymerization of a polydopamine recognition layer in the presence of serotonin as the template molecule, followed by template extraction to generate complementary recognition cavities for selective rebinding. The sensor fabrication parameters, including monomer concentration, electropolymerization cycles, template-to-monomer stoichiometry, and electrolyte pH, were systematically optimized to achieve improved sensitivity, selectivity, and signal stability. Under optimized conditions, the MIP/SPCE sensor exhibited a broad linear response from 10 pM -10 {micro}M in phosphate buffer, with a correlation coefficient of R2 = 0.974 and an ultralow limit of detection of 0.16 pM. The analytical applicability of the platform was further validated in spiked artificial serum, where the sensor achieved an LOD of 0.12 pM, satisfactory recovery values of 88.66-96.02%, and acceptable precision with RSD values [≤] 8.43% (n=3), confirming its reliability in a complex biological matrix. The developed sensor demonstrated excellent selectivity toward serotonin against physiologically relevant interferents, maintaining signal retention between 99% and 101%. In addition, the platform showed high operational repeatability with an RSD of 0.45%, good inter-electrode reproducibility with an RSD of 6.3%, and long-term storage stability, retaining 90-110% of its initial response over 28 days. Importantly, cross-platform validation using a smartphone-coupled potentiostat demonstrated strong analytical agreement with laboratory-grade instrumentation, as evidenced by R2 = 0.9967 and a slope of 1.023. These findings establish the proposed MIP/SPCE platform as a simple, low-cost, portable, and smartphone-compatible electrochemical device for field-deployable serotonin monitoring in clinically relevant samples.

bioengineering↗

Rationally Anchored Geometry-Controlled DNA Tetrahedral Nanostructures for Attomolar Impedimetric IL-6 Detection

Interleukin-6 (IL-6) is a pleiotropic cytokine whose aberrant elevation drives life-threatening conditions, including sepsis, cytokine storm, and autoimmune disorders, yet existing clinical detection methods demand centralized laboratory infrastructure and multi-hour assay times incompatible with rapid point-of-care decision-making. Here, we report an impedimetric aptasensor built on a programmable tetrahedral DNA nanostructure (TDN) interface anchored to a disposable gold screen-printed electrode (Au-SPE) for the ultrasensitive, label-free detection of IL-6. By systematically varying the number of thiolated base vertices from zero to three, we establish a clear and previously unreported structure-function relationship between multipodal anchoring geometry and charge-transfer resistance modulation: tripodal thiolation yields the most rigid, upright, and electrochemically responsive interface, producing the steepest analytical signal gain upon IL-6 binding at the apex-localised aptamer. Under optimised conditions (pH 7.0, 0.05 {micro}M TDN, MCH passivation), the aptasensor exhibits a linear dynamic range of 0.0001-0.001 pg/mL, a limit of detection of 55 ag/mL , and a sensitivity of 1.55x107 {Omega} (pg mL-1)-1. Selectivity evaluation against seven physiologically relevant interferents such as TNF-, BSA, glucose, urea, ascorbic acid, glycine, and cysteine confirms negligible cross-reactivity, with relative responses ranging from 0.57% to 14.35% of the IL-6 signal. Spike-recovery experiments in human serum yield recoveries of 74.0-87.6% (%RSD < 4.5%), and the sensor retains functional activity for at least 21 days under refrigerated storage. This work demonstrates that thiolated vertex number is a critical and tunable design parameter for TDN-based biosensors, offering a modular, disposable platform for sub-femtogram cytokine detection with direct applicability to early sepsis diagnosis and inflammatory disease monitoring.

bioengineering↗

Biofunctional 2D Graphitic Carbon Nitride-Hydrogel Heterointerfaces for Electrochemical Detection of Interleukin-6 toward Septic Cardiomyopathy Diagnostics in Clinical Biofluids

Interleukin-6 (IL-6) is a key pro-inflammatory cytokine closely associated with sepsis progression and septic cardiomyopathy (SCM), a severe clinical condition characterized by acute cardiac dysfunction and high mortality in critically ill patients. Rapid and sensitive monitoring of IL-6 in clinical biofluids is therefore crucial for early diagnosis, disease prognosis, and timely therapeutic intervention in emergency healthcare settings. Herein, we report a biofunctional, label-free electrochemical aptasensor based on a graphitic carbon nitride-incorporated chitosan hydrogel-modified gold screen-printed electrode (MCH/Apt-IL-6/g-C3N4@CS/Au-SPE) for ultrasensitive detection of IL-6 in clinical biofluids. The electroactive g-C3N4@CS hydrogel heterointerface was engineered via electrostatic interactions between the negatively charged surface functionalities of two-dimensional graphitic carbon nitride (g-C3N4) and the protonated amino groups (-NH3+) of chitosan (CS), yielding a porous, conductive, and biocompatible sensing matrix with enhanced aptamer immobilization and accelerated electron-transfer kinetics. Biocompatibility evaluation using MTT assay and confocal fluorescence imaging demonstrated that the hydrogel maintained excellent cellular compatibility at 5 mg/mL, preserving normal cytoskeletal organization, mitochondrial integrity, and nuclear morphology, while higher concentrations induced cellular stress responses. Under optimized experimental conditions, the developed aptasensor exhibited outstanding analytical performance with an ultrawide linear detection range from 1 fg/mL to 10 ng/mL, a high sensitivity of 2.162 A/[log10(ng/mL)] cm-2, a low detection limit of 0.460 pg/mL, and excellent linearity (R2 = 0.979). In addition, the sensor demonstrated remarkable selectivity toward common biological interferents, including ascorbic acid, cysteine, glucose, glycine, and urea, together with excellent reproducibility (RSD = 1.139%). Validation studies performed in spiked human serum samples further confirmed the reliability and practical applicability of the proposed sensing platform for rapid clinical analysis. Owing to its label-free detection strategy, disposable electrode format, high sensitivity, and favorable biocompatibility, the developed g-C3N4-hydrogel heterointerface-based aptasensor represents a promising next-generation platform for early septic cardiomyopathy diagnostics, inflammatory biomarker monitoring, and point-of-care electrochemical biosensing applications.

bioengineering↗

Platelet-derived CXCL7 induces neutrophil extracellular traps via CXCL7/CXCR2 axis, exacerbating the pathogenesis of diabetic retinopathy

BackgroundProlonged hyperglycemia in diabetes activates platelets and immune cells, forming platelet-immune complexes that damage blood vessels in the retina. However, the role of platelet-neutrophil interactions and neutrophil extracellular traps(NETs) in the development of diabetic retinopathy (DR) was not well studied. In this study, we investigated the mechanisms underlying platelet-mediated NET formation in DR. MethodologyPlatelet activation markers, platelet-neutrophil aggregates (PNA), and NETs markers were assessed by flowcytometry, and the circulatory level of inflammatory markers was measured by Luminex assays in healthy control(HC), type 2 diabetes mellitus(T2DM), non-proliferative DR(NPDR) and proliferative DR(PDR) subjects. In vitro studies investigated platelet-neutrophil interaction in NETs formation using an immunofluorescence assay. Proteomics analysis identified the mechanistic regulators of platelet-induced NETs in DR. Platelet pellet and plasma CXCL7 were quantified using western blot and ELISA, respectively. The role of the CXCL7/CXCR2 axis in inducing NETs formation was examined using CXCL7 recombinant protein, anti-CXCL7 antibody and CXCR2 antagonist (SB225002). ResultsPlatelet activation markers (p-selectin & PF4), PNA, and NETs markers (%NETs, proteinase-3 (PR3), neutrophil elastase (NE)) were significantly increased in the DR group. In vitro studies confirmed that DR-platelets aggregate with healthy neutrophils and form NETs compared to T2DM and HC-platelets. Furthermore, platelet activation and NETs markers were positively correlated with pro-angiogenic (ANGPT2, VEGFA) and inflammatory markers (IL18, ICAM1). In vitro studies reveal that NETs induce inflammation, endothelial dysfunction, disrupt the endothelial monolayer and exacerbate angiogenesis in RF/6A endothelial cell spheroids. Proteomics analysis of platelet-induced NETs in DR revealed dysregulation of proteins involved in platelet activation and NET formation, including CXCL7. Furthermore, increased CXCL-7 levels were observed in platelet pellet and plasma samples from the DR group. Additionally, CXCL7-treated neutrophils formed NETs via the CXCR2 receptor, and inhibition of NETosis was observed in neutrophils exposed to an anti-CXCL-7 antibody and a CXCR2 antagonist. ConclusionOur findings revealed that platelets released CXCL-7 induce NETs formation via the CXCL7/CXCR2 axis and blockade of CXCL7/CXCR2 axis inhibits the NETosis in DR, thereby inhibiting the pathogenesis of DR. Circulating CXCL7 serves as a potential prognostic marker, and the CXCL7/CXCR2 axis may be a therapeutic target for the treatment of DR. What Are the Clinical Implications?Platelets have emerged as immune cells, and platelet-neutrophil interactions are reported to play a significant role in the pathogenesis of various metabolic diseases. The role of platelet-neutrophil interactions and neutrophil extracellular traps (NETs) in the development of diabetic retinopathy (DR) remains poorly understood. Investigating the mechanistic regulators of platelet-mediated NETs in DR is crucial for identifying new therapeutic approaches. Our study observed increased platelet activation, platelet-neutrophil aggregates and NETs among DR subjects. Further, DR-platelet induces NET in healthy neutrophils, and NETs induce inflammation, angiogenesis, and disrupt endothelial barrier function in RF/6A cells in vitro. These findings strengthen the evidence that platelet-neutrophil interactions play a major role in DR pathogenesis. Proteomic analysis identified CXCL7 as a mechanistic regulator of platelet-induced NETs formation in DR. Inhibitors that target the platelet-derived CXCL7/CXCR2 axis for NETosis can be used for the prevention of retinal injury in DR. Overall, our work emphasises the mechanistic understanding of platelet-neutrophil interactions and CXCL7/CXCR2 axis as a therapeutic target for inhibiting the pathogenesis of DR. Graphical abstractScheme for the platelet-derived CXCL7 regulation of NETs in DR. Activated platelets release CXCL7 and platelet aggregates with neutrophils to form NETs via the CXCL7:CXCR2 axis. Blockade of the CXCL7:CXCR2 axis by anti-CXCL7 antibody and CXCR2 inhibitor prevents NETs formation in DR.

immunology↗

Protocol for the Synthesis of Green Fluorescence Carbon Quantum Dots and Biological Application

Carbon quantum dots (CQDs) are materials that are made up of particles that are only a few n anometers wide. They have no dimensions and can change their fluorescence qualities. They are also verybiocompatible and have a lot of potential to change the chemistry of their surface. Their eco-friendly synthesis from precursors, like citric acid (CA) and ascorbic acid (AA), provides a sustainable approach to highly fluorescent nanomaterials with promising applications in bioimaging, drug delivery, and other biomedical fields. Green-emitting carbon quantum dots (GCQDs) were synthesized via a simple reflux approach using citric acid and ascorbic acid as biomolecular precursors in a solvent solution of ethanol-water (1:2). The obtained GCQDs solution was purified using a dialysis process. Besides this, pH maintenance, lyophilization, and further submission for detailed physicochemical evaluation and characterization are done. The spectroscopic analysis, including UV-visible spectroscopy, fluorescence spectroscopy, and FTIR, confirmed the presence of surface functional groups and strong fluorescence properties and quantum yield calculations of the synthesized GCQDs. Microscopic and structural analyses using XRD, AFM, and TEM revealed the nanoscale, predominantly spherical morphology of the synthesized GCQDs. In addition, in vitro biological evaluations such as MTT assay and cellular uptake analysis were undertaken to evaluate cytocompatibility and intracellular distribution. We study the endocytosis pathway of these GCQDs, with size variations ranging from 3 to 5 nm, in mouse tissue-derived primary cells, tissues, and zebrafish embryos. GCQDs were internalized into mouse kidney and liver primary cells through a clathrin-mediated pathway. The findings confirmed that the produced GCQDs exhibit good water solubility, favorable biocompatibility, and significant potential as candidates for biomedical imaging applications.

bioengineering↗

Protocol for green synthesis of excellent fluorescent mango leaves-derived carbon for advanced theragnostic in biological applications

Carbon quantum dots (CQDs) are zero-dimensional fluorescence nanoparticles that are less than 10 nm in size. They have unique properties like tunable surface functionality, biocompatibility, fluorescence, and low toxicity. This study outlines a detailed protocol for synthesizing CQDs from mango leaf powder using a reflux method at 160 C and 400 rpm for a duration of two hours. The synthesized CQDs were comprehensively characterized using the following techniques, including UV-visible spectroscopy, fluorescent spectrophotometry, atomic force microscopy, dynamic light scattering and zeta potential measurement, Fourier transform infrared spectroscopy, and scanning electron microscopy. In vitro analysis was conducted through an MTT assay, revealing that the CQDs exhibit reduced toxicity in RPE1 cells compared to the control group. Additionally, a concentration-dependent cellular uptake assay was performed to further evaluate the biological performance of the CQDs. The findings suggest the potential of CQDs as safe and effective nanomaterials for various biological applications, including drug delivery and bioimaging.

bioengineering↗

Quantitative AI-based DNA fiber workflow to study replication stress

Replication stress (RS) is a prominent source of genome instability and human diseases. Understanding its molecular mechanism through various quantitative and unbiased methodologies is essential for the advancement of treatment strategies. One of the powerful methods to study DNA replication dynamics and its alterations at the single-molecule resolution is the DNA fiber assay. However, this method relies exclusively on manual image acquisition and analysis, making it time-consuming and susceptible to user bias. Here, we present a quantitative AI-based DNA fiber (qAID) workflow enabling imaging and multiparameter analysis of thousands of DNA fibers within several dozen minutes. Our workflow quantifies key parameters, including DNA fiber frequency, length, and symmetry, while also allowing visual inspection of individual DNA fibers using unbiased image galleries. The robustness of the workflow is demonstrated by comprehensive datasets of biologically relevant experiments performed by three independent laboratories. Overall, qAID workflow provides a fast and effective examination of replication dynamics and its alterations at the single-molecule resolution.

cell biology↗

PAF15-PCNA assembly exhaustion governs lagging strand replication and replisome integrity

Genome replication in eukaryotic cells is surveyed by the S-phase checkpoint, which orchestrates sequential replication origin activation to avoid exhaustion of hitherto poorly defined rate-limiting replisome components. Here, we find that excessive activation of replication origins depletes chromatin-bound PCNA and lagging strand components, thereby limiting additional PCNA loading at new origins when checkpoint control is disrupted. PAF15 (PCNA-associated factor 15) emerges as a dosage-sensitive regulator of PCNA, delineating the dynamic range of global genome duplication and defining distinct roles for PCNA on the leading and lagging strands. Through its high-affinity PIP motif and interaction within the DNA encircling channel of PCNA, PAF15 stabilizes PCNA exclusively on the lagging strand, optimizing and rate-limiting lagging strand processing. On the other hand, misregulation of PAF15--whether by overexpression or mislocalization to the leading strand--impairs replication fork progression and leads to cell death. These defects are mitigated by TIMELESS and CLASPIN, which restrain PAF15-PCNA interactions beyond the lagging strand. E2F4-mediated repression orchestrates PAF15 expression in normal and cancer cells, maintaining its optimal dosage for lagging strand-specific interactions with PCNA. Thus, the S-phase checkpoint functions in concert to restrict origin activation when lagging strand PAF15-PCNA assembly is exhausted, linking a previously concealed strand-specific rate limitation to overall replication dynamics.

biochemistry↗

CRL4DCAF12 regulation of MCMBP ensures optimal licensing of DNA replication

The minichromosome maintenance (MCM2-7) protein complexes are central drivers of genome duplication. Distinct protein pools, parental and nascent MCMs, and their precise equilibrium are essential to sustain error-free DNA replication1. However, the mechanism responsible for generating these pools and maintaining their equilibrium remains largely unexplored. Here, we identified CRL4DCAF12 as a new factor controlling the assembly of nascent MCM complexes. During MCM biogenesis, MCMBP facilitates the assembly and transport of newly synthesized MCM3-7 subcomplexes into the nucleus2,3. Once in the nucleus, the MCM2 subunit must be incorporated into the MCM3-7 subcomplex, while MCMBP needs to be removed. CRL4DCAF12 facilitates the degradation of MCMBP and thereby regulates the assembly of MCM2-7 complexes. The absence of CRL4DCAF12 adversely affects the level of chromatin-bound nascent MCMs, resulting in accelerated replication forks and genome instability. Collectively, our findings uncovered the molecular mechanism underlying nascent MCM production essential to counteract genome instability and tumor formation.

cell biology↗

Development of a cell-permeable Biotin-HaloTag ligand to explore functional differences between protein variants across cellular generations

HaloTag technology represents a versatile tool for studying proteins. Fluorescent HaloTag ligands employed in sequential labeling led to the discovery of distinct protein variants for histones, cohesins, and MCM complexes. Nonetheless, an efficient biochemical approach to separate the distinct protein variants to study their biological functions is missing. Principally being a gap in technology, the HaloTag toolbox lacks affinity ligands displaying good cell permeability and efficient affinity capture. Here, we describe the design, synthesis, and validation of a new cell-permeable Biotin-HaloTag ligand, which allows rapid labeling of Halo-tagged proteins in live cells and their efficient separation using streptavidin pull-down. Our work outlines how to use the herein-developed affinity ligand in sequential labeling to biochemically separate distinct protein variants and study their biological properties. The approach holds immense potential for addressing fundamental questions concerning essential cellular processes, including genome duplication and chromatin maintenance.

cell biology↗

PMTPred: Machine Learning Based Prediction of Protein Methyltransferases using the Composition of k-spaced Amino Acid Pairs

Protein methyltransferases (PMTs) are a group of enzymes that help to catalyze the transfer of a methyl group to its substrates. These enzymes play an important role in epigenetic regulation and are able to methylate various substrates with DNA, RNA, protein, and smallmolecule secondary metabolites. Dysregulation of methyltransferases is involved in different types of human cancers. However, in light of the well-recognized significance of PMTs, it becomes crucial to have reliable and fast methods for identifying these proteins. In the present work, we propose a machine-learning-based method for the identification of PMTs. Various sequence-based features were calculated and prediction models were develped using different machine-learning methods. A ten-fold cross-validation technique was used for model training. The SVM-based CKSAAP model gave the best prediction and achieved the highest accuracy of 87.94% with balance sensitivity (88.8%) and specificity (87.11%) with MCC of 0.759 and AUROC of 0.945. Also, SVM performed better than the compared deep learning algorithms for the prediction of PMTs. Finally, the best model was implemented in standalone software of PMTPred to facilitate the prediction of PMTs. The PMTPred achieved 86.50% prediction accuracy with 82.33% sensitivity, 90.67% specificity and ROC value 0.939 on the blind dataset. The standalone software of PMTPred is freely available for download at https://github.com/ArvindYadav7/PMTPred for research and academic use.

bioinformatics↗

Computational Assessment of Aromatase: Unmasking Therapeutic Avenues for Female Hormonal Disorders

Women of reproductive age widely experience the physical, mental, and emotional effects of hormonal imbalances. The levels of two hormones, estrogen, and progesterone, were particularly high. When these two hormones are unbalanced, symptoms such as irregular menstrual cycles, pelvic pain, and uterine fibroids can appear. Statistics show that 80 percent of women have hormonal imbalances. The creation of novel disease-containing drug candidates may be facilitated by computer-aided drug design (CADD), as many drugs and surgical treatments have unique adverse effects. Achieving good data coverage requires an optimized process for protein identification and enhanced selection techniques for medicinal compounds, including their metabolic characterization. In this study, aromatase is the prioritized protein that acted as a rate-limiting enzyme in steroidogenesis. To maintain its expression and regulation to control estrogen production, natural compounds were retrieved from the ZINC15 database through ADME/TOX property filtration. Compound B, specifically designated as (1R,3S,6S,7S,10S,11R)-7-[(dimethylamino)methyl]-3,12-dimethyl-2,9-dioxatetracyclo [9.3.0.01,3.06,10] tetradec-12-en-8-one, exhibits remarkable therapeutic potential, as evidenced by its inability to inhibit S-adenosyl methionine (SAM) biosynthesis, the observed stability of molecular interactions based on Density Functional Theory (DFT), and a favorable energy gap between molecular orbital stages. This research can be employed as a utility module for fast screening of drug-like molecules and taking these leads forward to clinical trials, assessing their value as potential suitors for drug repurposing against female hormonal disorders.

bioinformatics↗

Quality control and annotation of variant peptides identified through proteogenomics

Variant peptides resulting from translation of single nucleotide polymorphisms (SNPs) can lead to aberrant or altered protein functions and thus hold translational potential for disease diagnosis, therapeutics and personalized medicine. Variant peptides detected by proteogenomics are fraught with high number of false positives. Class-specific FDR along with ad-hoc post-search filters have been employed to tackle this issue, but there is no uniform and comprehensive approach to assess variant quality. These protocols are mostly manual or tedious, and not accessible across labs. We present a software tool, PgxSAVy, for the quality control of variant peptides. PgxSAVy provides a rigorous framework for quality control and annotations of variant peptides on the basis of (i) variant quality, (ii) isobaric masses, and (iii) disease annotation. PgxSAVy was able to segregate true and false variants with 98.43% accuracy on simulated data. We then used [~]2.8 million spectra (PXD004010 and PXD001468) and identified 12,705 variant PSMs, of which PgxSAVy evaluated 3028 (23.8%), 1409 (11.1%) and 8268 (65.1%) as confident, semi-confident and doubtful respectively. PgxSAVy also annotates the variants based on their pathogenicity and provides support for assisted manual validation. In these datasets, it identified previously found variants as well some novel variants not seen in original studies. The confident variants identified the importance of mutations in glycolysis and gluconeogenesis pathways in Alzheimers disease. The analysis of proteins carrying variants can provide fine granularity in discovering important pathways. PgxSAVy will advance personalized medicine by providing a comprehensive framework for quality control and prioritization of proteogenomics variants. AvailabilityPgxSAVy is freely available at https://github.com/anuragraj/PgxSAVy Key PointsO_LIVariant peptide in proteogenomics have high rates of false positives C_LIO_LIclass-specific FDR is not sufficiently effective, and tedious manual filtering is not scalable C_LIO_LIWe developed PgxSAVy for automated quality control and disease annotation of variant peptides from proteogenomics search results C_LIO_LIPgxSAVy was validated using simulation data and manually annotated variant PSMs C_LIO_LIIndependent application on large datasets on Alzheimers and HEK cell lines demonstrated that PgxSAVy discovered known and novel mutations with important biological roles. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=161 HEIGHT=200 SRC="FIGDIR/small/542998v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@187a515org.highwire.dtl.DTLVardef@67471corg.highwire.dtl.DTLVardef@6d90e9org.highwire.dtl.DTLVardef@144c6c1_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

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↗

Immunological and cardio-vascular pathologies associated with SARS-CoV-2 infection in golden syrian hamster

Severe acute respiratory syndrome coronavirus (SARS-CoV)-2 infection in golden Syrian hamster (GSH) causes lung pathology and resembles human coronavirus disease (Covid-19). However, extra-pulmonary pathologies of SARS-CoV-2 infection that result in long Covid remains undefined in GSH. Here, using in silico modelling we show that hamster angiotensin-converting enzyme-2 (ACE-2) and neuropilin-1 (NRP-1) interaction with SARS-CoV-2 is similar to human. Intranasal SARS-CoV-2 infection in GSH resulted in early onset of lung pathologies marked by aggressive inflammatory response. Remarkably, late phase of SARS-CoV2 infection in GSH showed cardiovascular complications (CVC) characterized by ventricular hypertrophy, ventricular wall thickening, interstitial coronary fibrosis and altered lipidomics with elevated cholesterol, low-density lipoprotein and long chain fatty acid triglycerides. Moreover, serum metabolomics profile of infected GSH correlated with Covid19 patients. Together, we propose GSH as a suitable animal model to study immediate and long Covid19 pathologies that could be extended to therapeutics against Covid19 related CVC.

microbiology↗

Induction of AmpC-mediated-βlactam resistance requires a single lytic transglycosylase in Agrobacterium tumefaciens

The remarkable ability of Agrobacterium tumefaciens to transfer DNA to plant cells has allowed the generation of important transgenic crops. One challenge of A. tumefaciens-mediated transformation is eliminating the bacteria after plant transformation to prevent detrimental effects to plants and the release of engineered bacteria to the environment. Here we use a reverse genetics approach to identify genes involved in ampicillin resistance with the goal of utilizing these antibiotic-sensitive strains for plant transformations. We show that treating A. tumefaciens C58 with ampicillin led to increased {beta}-lactamase production, a response dependent on the broad-spectrum {beta}-lactamase AmpC and its transcription factor AmpR. Loss of the putative ampD orthologue, atu2113, led to constitutive production of AmpC-dependent {beta}-lactamase activity and ampicillin resistance. Finally, one cell wall remodeling enzyme, MltB3, was necessary for the AmpC-dependent {beta}-lactamase activity and its loss elicited ampicillin and carbenicillin sensitivity in the A. tumefaciens C58 and GV3101 strains. Furthermore, GV3101{Delta} mltB3 transforms plants with comparable efficiency to wildtype but can be cleared with sub-lethal concentrations of ampicillin. The functional characterization of the genes involved in the inducible ampicillin resistance pathway of A. tumefaciens constitutes a major step forward in efforts to reduce the intrinsic antibiotic resistance of this bacterium. IMPORTANCEAgrobacterium tumefaciens, a significant biotechnological tool for production of transgenic plant lines, is highly resistant to a wide variety of antibiotics, posing challenges for various applications. One challenge is the efficient elimination of A. tumefaciens from transformed plant tissue without using levels of antibiotics that are toxic to the plants. Here, we present the functional characterization of genes involved in {beta}-lactam resistance in A. tumefaciens. Knowledge about proteins that promote or inhibit {beta}-lactam resistance will enable the development of strains to improve the efficiency of Agrobacterium-mediated plant genetic transformations. Effective removal of Agrobacterium from transformed plant tissue has the potential to maximize crop yield and food production, improving the outlook for global food security.

microbiology↗

scribble abrogation induces tumor growth through JNK-Wnt pathways depending on cellular-microenvironment in Drosophila wing imaginal tissue

scribble (scrib) is a cell-polarity determinant in Drosophila and human. Cell polarity plays a crucial role in the maintenance of tissue homeostasis and its disruption leads to neoplastic cancer progression. However, the underlying mechanisms by which loss of cell-polarity regulators drives cancer progression are poorly known. In this study, we have explored the tumor progression mechanisms upon scrib knockdown in Drosophila wing imaginal disc using UASRNAi-GAL4 approach. We have found that scrib knockdown in wing disc leads to tumor growth with disrupted actin cytoskeleton, loss of cell-polarity and elevated JNK signalling, resulting in absolute early pupal lethality. Further, scrib abrogated cells in a large area of the disc are capable of invading the surrounding wild type cells and inducing apoptosis along with compensatory proliferation through JNK-Wnt pathways. Moreover, JNK pathway upstream candidate hep (JNKK) knockdown in scrib abrogated cells rescues the cell polarity defects, actin cytoskeleton disruption and tumor growth, while constitutive hep activation further aggravates the tumor phenotype. Interestingly, generation of undead cells by apoptosis inhibition in these hep knockdown cells by p35 expression further leads to tumor development. Hence, we conclude that scrib knockdown in a large area of wing disc might have a group-protection and undead-cells microenvironment that modulates the action of JNK signalling resulting in tumor formation. Furthermore, JNK dependent activation of Wnt/Ca2+ signalling also supports the tumor growth and actin cytoskeleton disruption. Thus, our results importantly highlight the role of JNK signalling in tumor progression upon scrib loss of function depending on cellular-microenvironment.

cancer biology↗