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Kumar, A.

Publications and source records attributed to Kumar, A..

At least 361 records · Page 20Linked to original sources

MyeloDB: A multi-omics resource for Multiple Myeloma

Multiple myeloma (MM) is a common type of blood cancer affecting plasma cells originating from the lymphoid B-cell lineage. It accounts for about 10% of all haematological malignancies and can cause significant end-organ damage. The emergence of genomic technologies such as next-generation sequencing and gene expression analysis has opened new possibilities for early detection of multiple myeloma and identification of personalized treatment options. However, there remain significant challenges to overcome in MM research, including integrating multi-omics data, achieving a comprehensive understanding of the disease, and developing targeted therapies and biomarkers. The extensive data generated by these technologies presents another challenge for data analysis and interpretation. To bridge this gap, we have developed a multi-omics open-access database called MyeloDB. It includes gene expression profiling, high throughput CRISPR-Cas9 screens, drug sensitivity resources profile, and biomarkers. MyeloDB contains 47 expression profiles, 3 methylation profiles comprising a total of 5630 patient samples and 15 biomarkers which were reported in previous studies. In addition to this, MyeloDB can provide significant insight of gene mutations in MM on drug sensitivity. Furthermore, users can download the datasets and conduct their own analyses. Utilizing this database, we have identified five novel genes i.e., CBFB, MANF, MBNL1, SEPHS2 and UFM1 as potential drug targets for MM. We hope MyeloDB will serve as a comprehensive platform for researchers and foster novel discoveries in MM. MyeloDB is freely accessible at: (https://project.iith.ac.in/cgntlab/myelodb/)

genomics↗

AMLdb: A comprehensive multi-omics platform to understand the pathogenesis and discover biomarkers for acute myeloid leukemia

Acute myeloid leukemia (AML) is one of the leading leukemic malignancies in adults. The heterogeneity of the disease makes the diagnosis and treatment extremely difficult. Despite the significant developments and the rapid advancements in finding new medication targets, the treatment for AML remains a challenge. With the advent of next-generation sequencing (NGS) technologies, exploration at the molecular level for the identification of biomarkers and drug targets has been the main focus for the researchers to come up with novel therapies for better prognosis and survival outcomes of AML patients. However, the massive amounts of data generated from the NGS platforms demands the necessity to create a comprehensive platform on AML to save the time invested in mining literature. To facilitate this, we developed AMLdb, an interactive multi-omics platform that allows users to query, visualize, retrieve and analyze AML-related multi-omics data. It provides a diverse collection of data resourced from various repositories allowing for a more comprehensive analysis. AMLdb contains 86 datasets for gene expression profiles, 15 datasets for methylation profiles, CRISPR-Cas9 knockout screens of 26 AML cell lines, sensitivity of 26 AML cell lines to 288 drugs, mutations in 41 unique genes in 23 AML cell lines and information on 27 experimentally validated biomarkers. The data provided can be used for deriving conclusions on potential targets for therapies, sensitivity of these targets towards the drugs, patient classification, prediction of treatment strategies and outcomes, chances of relapse etc. In this study, we have reported five genes i.e., CBFB, ENO1, IMPDH2, SEPHS2 and MYH9 identified via our analysis using AMLdb as potential targets. Amongst this, CBFB, IMPDH2, SEPHS2 and MYH9 have been previously validated as targets by experimental studies which is in par with our results. However, ENO1 is a novel target identified using AMLdb which needs further investigation. We anticipates that, AMLdb can be a valuable resource to aid the research community accelerate the development of effective therapies for AML. AMLdb is freely accessible at https://project.iith.ac.in/cgntlab/amldb/ without any restrictions.

genomics↗

Red Fluorescent Carbon Nanoparticles Derived from Spinacia oleracea L.: A Versatile Tool for Bioimaging & Biomedical Applications

Carbon-based fluorescent quantum dots are an emerging class of nanoparticles for targeted bioimaging and biomedical applications. We present a facile microwave-assisted approach for synthesizing carbon nanoparticles with bright red fluorescence using ethanolic extracts of Spinacia oleracea leaves, with a quantum yield of 94.67%. These nanoparticles, called CNPs, ranging from 15-50 nm, demonstrated fluorescence emission in the near-infrared (NIR) region between 650 and 700 nm, independent of excitation wavelength. Upon excitation at a wavelength of 410 nm, they exhibit an emission maxima peak at 672 nm. The significant uptake of CNPs in mammalian cells and zebrafish larvae highlights their potential as bioimaging agents in diverse biomedical applications in vivo. Further, these quantum dots enhance cellular proliferation and migration as observed by wound healing assay in mammalian cells, indicating their possible application in tissue engineering and regenerative medicine. These findings suggest that biosynthesized carbon nanoparticles possess significant potential for biomedical activities, which can serve as a robust benchmark for researchers towards promoting sustainability.

bioengineering↗

Histone H3 tail modifications regulate structure and dynamics of the H1 C-terminal domain within nucleosomes

Despite their importance, how linker histone H1s interact in chromatin and especially how the highly positively charged and intrinsically disordered H1 C-terminal domain (CTD) binds and stabilizes nucleosomes and higher-order chromatin structures remains unclear. Using single-molecule FRET we found that about half of the H1 CTDs in H1-nucleosome complexes exhibit well-defined FRET values indicative of distinct, static conformations, while the remainder of the population exhibits dynamically changing values, similar to that observed for H1 in the absence of nucleosomes. We also find that the first 30 residues of the CTD participate in relatively localized interactions with the first [~]20 bp of linker DNA, and that two separate regions in the CTD contribute to H1-dependent organization of linker DNA, consistent with some non-random CTD-linker DNA interactions. Finally, our data show that acetylation mimetics within the histone H3 tail induce decondensation and enhanced dynamics of the nucleosome-bound H1 CTD. (148 words)

biophysics↗

Molecular features driving condensate formation and gene expression by the BRD4-NUT fusion oncoprotein are overlapping but distinct

Aberrant formation of biomolecular condensates has been proposed to play a role in several cancers. The oncogenic fusion protein BRD4-NUT forms condensates and drives changes in gene expression in Nut Carcinoma (NC). Here we sought to understand the molecular elements of BRD4-NUT and its associated histone acetyltransferase (HAT), p300, that promote these activities. We determined that a minimal fragment of NUT (MIN) in fusion with BRD4 is necessary and sufficient to bind p300 and form condensates. Furthermore, a BRD4-p300 fusion protein also forms condensates and drives gene expression similarly to BRD4-NUT(MIN), suggesting the p300 fusion may mimic certain features of BRD4-NUT. The intrinsically disordered regions, transcription factor-binding domains, and HAT activity of p300 all collectively contribute to condensate formation by BRD4-p300, suggesting that these elements might contribute to condensate formation by BRD4-NUT. Conversely, only the HAT activity of BRD4-p300 appears necessary to mimic the transcriptional profile of cells expressing BRD4-NUT. Our results suggest a model for condensate formation by the BRD4-NUT:p300 complex involving a combination of positive feedback and phase separation, and show that multiple overlapping, yet distinct, regions of p300 contribute to condensate formation and transcriptional regulation.

cell biology↗

Lipid modification of DNA nanocages enhances cellular uptake, migration, and in vivo uptake

The extraordinary self-assembling nature of DNA nanostructures and high functionality enables the formulation of DNA nanostructures with multiple chemical and biological molecules. How the whole organisms in native as well as modified; and how stable they are inside take up exactly these modified DNA nanostructures the organisms still remains to be explored. Here we report the fabrication and evaluation of a new conjugate of a cationic lipid, N-[one-(two, 3-dioleyloxy) propyl]-N, N, N-trimethylammonium chloride (DOTMA) and DNA tetrahedron nanostructure (TdN) for the enhanced uptake, stability, bioimaging, and biotherapeutics in cells and zebrafish (Danio rerio) eleuthero embryos as a model organism. We summarise the enhanced uptake potential of TdN-DOTMA conjugate for futuristic biomedical applications such as drug delivery, bioimaging, biosensing, and therapeutics.

bioengineering↗

Sizes, Conformational fluctuations, and SAXS profiles for Intrinsically Disordered Proteins

The preponderance of Intrinsically Disordered Proteins (IDPs) in the eukaryotic proteome, and their ability to interact with each other, folded proteins, RNA, and DNA for functional purposes, have made it important to quantitatively characterize their biophysical properties. Toward this end, we developed the transferable Self-Organized Polymer (SOP-IDP) model to calculate the properties of several IDPs. The values of the radius of gyration (Rg) obtained from SOP-IDP simulations are in excellent agreement (correlation coefficient of 0.96) with those estimated from SAXS experiments. For AP180 and Epsin, the predicted values of the hydrodynamic radii (Rhs) are in quantitative agreement with those from Fluorescence Correlation Spectroscopy (FCS) experiments. Strikingly, the calculated SAXS spectra for thirty-six IDPs are also nearly superimposable on the experimental profiles. The dependence of Rg and the mean end-to-end distance (Ree) on chain length, N, follows Florys scaling law, R {approx} aN 0.588 ( = g, and e), suggesting that globally IDPs behave as synthetic polymers in a good solvent. The values of ag, and ae are 0.20 nm and 0.48 nm respectively. Surprisingly, finite size corrections to scaling, expected on theoretical grounds, are negligible for Rg and Ree. In contrast, only by accounting for the finite sizes of the IDPs, the dependence of experimentally measurable Rh on N can be quantitatively explained using{nu} = 0.588. Although Flory scaling law captures the estimates for Rg, Ree, and Rh accurately, the spread of the simulated data around the theoretical curve is suggestive of of sequence-specific features that emerge through a fine-grained analysis of the conformational ensembles using hierarchical clustering. Typically, the ensemble of conformations partitiones into three distinct clusters, having different equilibrium populations and structural properties. Without any further readjustments to the parameters of the SOP-IDP model, we also obtained excellent agreement with paramagnetic relaxation enhancement (PRE) measurements for -synuclein. The transferable SOP-IDP model sets the stage for several applications, including the study of phase separation in IDPs and interactions with nucleic acids.

biophysics↗

VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules

Identifying potent lead molecules for specific targets remains a major bottleneck in drug discovery. As structural information about proteins becomes increasingly available, ultra-large virtual screenings (ULVSs) which computationally evaluate billions of molecules offer a powerful way to accelerate early-stage drug discovery. Here, we introduce AdaptiveFlow, an open-source platform designed to make ULVSs more accessible, scalable, and efficient. AdaptiveFlow provides free access to a screening-ready version of the Enamine REAL Space (1), the largest library of ready-to-dock, drug-like molecules, containing 69 billion compounds that we prepared using the ligand preparation module of the platform. A key innovation of the platform is its use of a multi-dimensional grid of molecular properties, which helps researchers explore and prioritize chemical space more effectively and reduce the computational costs by a factor of approximately 1000. This grid forms the basis of a new method for identifying promising regions of chemical space, enabling systematic exploration and prioritization of compound libraries. An optional active learning component can further accelerate this process by adaptively steering the search toward molecules most likely to bind a given target. To support a broad range of applications, AdaptiveFlow is compatible with over 1,500 docking protocols. The platform achieves near-linear scaling on up to 5.6 million CPUs in the AWS Cloud, setting a new benchmark for large-scale cloud computing in drug discovery. Using this approach, we identified nanomolar inhibitors of two disease-relevant targets: ferroptosis suppressor protein 1 (FSP1) and poly(ADP-ribose) polymerase 1 (PARP-1) (2, 3). By leveraging newly solved crystal structures of FSP1 in complex with NAD+, FAD, and coenzyme Q1, we validated these hits experimentally and determined the co-crystal structures of FSP1 bound to small-molecule inhibitors, enabling insights into inhibitor binding mechanisms previously unknown. With its high scalability, flexibility, and open accessibility, AdaptiveFlow offers a powerful new resource for discovering and optimizing drug candidates at an unprecedented scale and speed.

bioinformatics↗

GWAS and genomic selection for marker-assisted development of sucrose enriched soybean cultivars

Sucrose concentration in soy-derived foods is becoming a seminal trait for the production of food-grade soybeans. However, limited scientific knowledge is reported on this increasingly important breeding objective. In this study, 473 genetically diverse soybean germplasm accessions and 8,477 high-quality single nucleotide polymorphisms (SNPs) markers were utilized to pinpoint genomic regions associated with seed sucrose contents through a genome-wide association study (GWAS). A total of 75 significant SNPs (LOD [≥]6.0) were identified across GLM, FarmCPU and BLINK models, including four stable and novel SNPs (Gm03_45385087_ss715586641, Gm06_10919443_ss715592728, Gm09_45335932_ss715604570 and Gm14_10470463_ss715617454). Gene mining near 20 kb flanking genomic regions of four stable SNPs identified 23 candidate genes with the majority of them highly expressed in soybean seeds and pod shells. A sugar transporter encoding major facilitator superfamily gene (Glyma.06G132500) showing the highest expression in pod shells was also identified. Moreover, selection accuracy, efficiency and favorable alleles of 75 significantly associated SNPs were estimated for their utilization in soybean breeding programs. Furthermore, genomic predictions with three different scenarios revealed better feasibility of GWAS-derived SNPs for selection and improvement of seed sucrose concentration. These results could facilitate plant breeders in marker-assisted breeding and genomic selection of sucrose-enriched food-grade soybean cultivars for the global soy-food industry.

genomics↗

Evolution of neuronal cell classes and types in the vertebrate retina

The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in their visual needs (Baden et al., 2020). One might expect that retinal cell types evolved to accommodate these varied needs, but this has not been systematically studied. Here, we generated and integrated single-cell transcriptomic atlases of the retina from 17 species: humans, two non-human primates, four rodents, three ungulates, opossum, ferret, tree shrew, a teleost fish, a bird, a reptile and a lamprey. Molecular conservation of the six retinal cell classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, retinal ganglion cells [RGCs] and Muller glia) is striking, with transcriptomic differences across species correlated with evolutionary distance. Major subclasses are also conserved, whereas variation among types within classes or subclasses is more pronounced. However, an integrative analysis revealed that numerous types are shared across species based on conserved gene expression programs that likely trace back to the common ancestor of jawed vertebrates. The degree of variation among types increases from the outer retina (photoreceptors) to the inner retina (RGCs), suggesting that evolution acts preferentially to shape the retinal output. Finally, we identified mammalian orthologs of midget RGCs, which comprise >80% of RGCs in the human retina, subserve high-acuity vision, and were believed to be primate-specific (Berson, 2008); in contrast, the mouse orthologs comprise <2% of mouse RGCs. Projections both primate and mouse orthologous types are overrepresented in the thalamus, which supplies the primary visual cortex. We suggest that midget RGCs are not primate innovations, but descendants of evolutionarily ancient types that decreased in size and increased in number as primates evolved, thereby facilitating high visual acuity and increased cortical processing of visual information.

neuroscience↗

Interaction studies of Gut metabolite Trimethylene amine Oxide with Bovine Serum Albumin through Spectroscopic, DFT and Molecular Docking Approach

Trimethyleneamine N-oxide (TMAO); a gut microbiota derived metabolite has been involved in human health and diseases. It is enhanced by insulin resistivity and linked with various metabolic syndromes in human being such as renal, neuro-degenerative, and cardiovascular diseases. The primary mechanism through which TMAOs promotes disease is not clear yet. TMAO with MW= 75.11 g/mol is a small biomolecule hence, it becomes crucial to develop the conjugate of TMAO with BSA for aptamer synthesis. The binding interactions among TMAO and BSA were investigated using spectroscopic methods like UV-Vis, photoluminescence, Fourier transform infrared and circular dichroism. Hydrophilicity/Hydrophobicity of the conjugate was monitored by using contact angle ([O]) measurement. Sodium dodecyl sulphate polyacryl amide gel electrophoresis (SDS-PAGE) confirmed the different ratio of conjugate formation with the help of band size. This interaction study reveals that TMAO bind with BSA on two sites and with high affinity on one site. Docking studies also showed TMAO is involved in non-covalent interaction with bovine serum albumin forming stable docking complex with binding score of -3.6 kcal/mol obtained from the docking simulation. TMAO is involved in interaction with BSA via amino acid residues forming the stable docking complex through hydrogen bond and electrostatic interaction. This kind of interaction study may be helpful in making strategies to break the conjugation between serum albumin and uremic toxin and pave the way for the treatment for CKD and other diseases wherein TMAO is implicated. Also, conjugation of TMAO and BSA studied here may also serve as premise to develop aptamers for the detection of TMAO in the body fluids.

biochemistry↗

Functional characterization of five triterpene synthases through De-novo assembly and transcriptome analysis of Euphorbia grantii and Euphorbia tirucalli

Euphorbia grantii and Euphorbia tirucalli known to synthesize diverse triterpenes including euphol and tirucallol. These two triterpenes known to possess potent anti-cancer, anti-bacterial, and anti-fungal properties along with various other biological activities. In this study, De-novo assembly and comparative transcriptome analysis of leaf and stem tissues of E. tirucalli and E. grantii were carried out to identify thirteen triterpene synthases from 1,40,227 in correlation with the metabolic profiling. Comparative transcriptome analysis indicated that EutTTS4 and EutTTS5 genes which encodes for euphol/tirucallol and tirucallol synthase were highly expressed in leaf and stem tissue. The genes which encodes -amyrin synthase (EutTTS1) and lupeol synthase (EutTTS2) were characterized by overexpressing them in YPH499 yeast strain. We have developed using hem1 and erg7 knock yeast strain of lanosterol deficient yeast (TMBL17) and used for over expression of friedelin synthase (EutTTS3), and two novel triterpenes synthases such as euphol/tirucallol synthase (EutTTS4) and tirucallol synthase (EutTTS5). These results are very useful in large scale production of triterpenes by genomic integration of respective triterpene synthases in TMBL yeast strain developed in this study. Significance StatementWe have functionally characterized triterpene synthases from E. tirucalli and E. grantii and developed a hem1 and erg7 knock out of lanosterol deficient yeast (TMBL17) for the large-scale production of triterpene and triterpene related products.

molecular biology↗

Fatty links between multisystem proteinopathy and Small VCP-Interacting Protein

Multisystem proteinopathy (MSP) is a rare dominantly-inherited disorder that includes a cluster of diseases, including frontotemporal dementia, inclusion body myopathy, and Pagets disease of bone. MSP is caused by mutations in the gene encoding Valosin-Containing Protein (VCP). Patients with the same mutation, even within the same family, can present with a different combination of any or all of the above diseases, along with amyotrophic lateral sclerosis (ALS). The pleiotropic effects may be linked to the greater than 50 VCP cofactors that direct VCPs many roles in the cell. Small VCP-Interacting Protein (SVIP) is a small protein that directs VCP to autophagosomes and lysosomes. We found that SVIP directs VCP localization to autophagosomes in an acylation-dependent manner. We demonstrate that SVIP is myristoylated at glycine 2 and palmitoylated at cysteines 4 and 7. Acylation of SVIP is required to mediate cell death in the presence of the MSP-associated VCP variant (R155H-VCP), whereas blocking SVIP myristoylation prevents cytotoxicity. Therefore, SVIP acylation may present a novel target in MSP.

cell biology↗

Harnessing genetic variations improving seedling vigor for successful crop establishment in deep sown direct-seeded rice

Improving seedling vigour remains key objective for breeders working with direct-seeded rice (DSR). To understand the genetic control of seedling vigour in deep sown DSR, combined genome-wide association mapping, linkage mapping, fine mapping, RNA-sequencing to identify candidate genes and validation of putative candidate genes was performed. Significant phenotypic variations were observed among genotypes in both F3:4:5 and BC2F2:3 populations. The mesocotyl length showed significant positive correlation with %germination, root and shoot length. The 3.79 Mb region on chromosome 7 reported to be associated with mesocotyl elongation. RNA-seq data and RT-PCR results identified and validated seven potential candidate genes. The potential candidate gene, LOC_Os07g25150 codes for Myb-30-related transcription factor. The LOC_Os07g25150 codes for Myb 30-related transcription factor, LOC_Os07g17689 annotated as protein translation factor, LOC_Os07g17770 as tryptophanyl-tRNA synthetase, LOC_Os07g15440 as alanyl-tRNA synthetase family protein, LOC_Os07g24100 as retrotransposon protein and the remaining others as expressed proteins. The antagonistic relationship between Myb-30 and ethylene-mediated signalling (EIN-3) in regulating mesocotyl elongation have been observed. The functional characterization and knocking of LOC_Os07g25150 codes for Myb 30-related transcription factor may provide better understanding of the mechanism behind mesocotyl elongation. The four promising introgression lines with longer mesocotyl length, longer root length and semi-dwarf plant height have been identified.

genomics↗

MFN2-dependent recruitment of ATAT1 coordinates mitochondria motility with alpha-tubulin acetylation and is disrupted in CMT2A

Acetylated microtubules play key roles in the regulation of mitochondria dynamics. It has however remained unknown if the machinery controlling mitochondria dynamics functionally interacts with the -tubulin acetylation cycle. Mitofusin-2 (MFN2), a large GTPase residing in the mitochondrial outer membrane and mutated in Charcot-Marie-Tooth type 2 disease (CMT2A), is a regulator of mitochondrial fusion, transport and tethering with the endoplasmic reticulum. The role of MFN2 in regulating mitochondrial transport has however remained elusive. Here we show that mitochondrial contacts with microtubules are sites of -tubulin acetylation, which occurs through the MFN2-mediated recruitment of -tubulin acetyltransferase 1 (ATAT1). We discover that this activity is critical for MFN2-dependent regulation of mitochondria transport, and that axonal degeneration caused by CMT2A MFN2 associated mutations, R94W and T105M, may depend on the inability to release ATAT1 at sites of mitochondrial contacts with microtubules. Our findings reveal a function for mitochondria in regulating acetylated -tubulin and suggest that disruption of the tubulin acetylation cycle play a pathogenic role in the onset of MFN2-dependent CMT2A. O_FIG O_LINKSMALLFIG WIDTH=193 HEIGHT=200 SRC="FIGDIR/small/532838v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@3db8eorg.highwire.dtl.DTLVardef@143821corg.highwire.dtl.DTLVardef@1132b13org.highwire.dtl.DTLVardef@1710383_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIMitochondria contacts with MTs are hotspots of -tubulin acetylation through the recruitment of ATAT1 by MFN2 C_LIO_LIMutations in MFN2 associated with CMT2A disease lose this activity by sequestering ATAT1 C_LIO_LIDistal axonal degeneration caused by loss of MFN2 depends on acetylated tubulin-mediated mitochondria transport C_LI eTOCRecruitment of ATAT1 to mitochondria by MFN2 is critical for axonal viability through the regulation of mitochondria transport, and is disrupted in CMT2A

cell biology↗

Cancer mutations rewire the RNA methylation specificity of METTL3-METTL14

Chemical modification of RNAs is important for post-transcriptional gene regulation. The METTL3-METTL14 complex generates most N6-methyladenosine (m6A) modifications in mRNAs, and dysregulated methyltransferase expression has been linked to numerous cancers. Here we show that changes in m6A modification location can impact oncogenesis. A gain-of-function missense mutation found in cancer patients, METTL14R298P, promotes malignant cell growth in culture and in transgenic mice. The mutant methyltransferase preferentially modifies noncanonical sites containing a GGAU motif and transforms gene expression without increasing global m6A levels in mRNAs. The altered substrate specificity is intrinsic to METTL3-METTL14, helping us to propose a structural model for how the METTL3-METTL14 complex selects the cognate RNA sequences for modification. Together, our work highlights that sequence-specific m6A deposition is important for proper function of the modification and that noncanonical methylation events can impact aberrant gene expression and oncogenesis.

biochemistry↗

Novel method for collecting hippocampal interstitial fluid extracellular vesicles (EV-ISF) reveals sex-dependent changes in microglial EV proteome in response to Aβ pathology

Brain-derived extracellular vesicles (EVs) play an active role in Alzheimers disease (AD), relaying important physiological information about their host tissues. Circulating EVs are protected from degradation, making them attractive AD biomarkers. However, it is unclear how circulating EVs relate to EVs isolated from disease-vulnerable brain regions. We developed a novel method for collecting EVs from the hippocampal interstitial fluid (ISF) of live mice. EVs (EVISF) were isolated via ultracentrifugation and characterized by nanoparticle tracking analysis, immunogold labeling, and flow cytometry. Mass spectrometry and proteomic analyses were performed on EVISF cargo. EVISF were 40-150 nm in size and expressed CD63, CD9, and CD81. Using a model of cerebral amyloidosis (e.g. APPswe,PSEN1dE9 mice), we found protein concentration increased but protein diversity decreased with A{beta} deposition. Genotype, age, and A{beta} deposition modulated proteostasis- and immunometabolic-related pathways. Changes in the microglial EVISF proteome were sexually dimorphic and associated with a differential response of plaque associated microglia. We found that female APP/PS1 mice have more amyloid plaques, less plaque associated microglia, and a less robust- and diverse-EVISF microglial proteome. Thus, in vivo microdialysis is a novel technique for collecting EVISF and offers a unique opportunity to explore the role of EVs in AD. Graphical AbstractHippocampal EVISF response to amyloid beta (A{beta}) is sexually dimorphic and related to the microglial EVISF proteome. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/532133v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1a275d6org.highwire.dtl.DTLVardef@e63da5org.highwire.dtl.DTLVardef@1d93cecorg.highwire.dtl.DTLVardef@12ed0db_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Generation of a SARS-CoV-2 reverse genetics system and novel human lung cell lines that exhibit high virus-induced cytopathology

The global COVID-19 pandemic continues with an increasing number of cases worldwide and the emergence of new SARS-CoV-2 variants. In our study, we have developed novel tools with applications for screening antivirals, identifying virus-host dependencies, and characterizing viral variants. Using reverse genetics, we rescued SARS-CoV-2 Wuhan1 (D614G variant) wild type (WTFL) and reporter virus (NLucFL) using molecular BAC clones. The replication kinetics, plaque morphology and titers were comparable between rescued molecular clones and a clinical isolate (VIDO-01 strain), thus providing confidence that the rescued viruses can be used as effective replication tools. Furthermore, the reporter SARS-CoV-2 NLucFL virus exhibited robust luciferase values over the time course of infection and was used to develop a rapid antiviral assay using remdesivir as proof-of-principle. In addition, as a tool to study lung-relevant virus-host interactions, we established novel human lung cell lines that support SARS-CoV-2 infection with high virus-induced cytopathology. Six lung cell lines (NCI-H23, A549, NCI-H1703, NCI-H520, NCI-H226, and HCC827) and HEK293T cells, were transduced to stably express ACE2 and tested for their ability to support virus infection. A549ACE2 B1 and HEK293TACE2 A2 cell lines exhibited more than 70% virus-induced cell death and a novel lung cell line NCI-H23ACE2 A3 showed about [~]99% cell death post-infection. These cell lines are ideal for assays relying on live-dead selection and are currently being used in CRISPR knockout and activation screens in our lab. ImportanceWe used a reverse genetics system to generate a wild type as well as a nanoluciferase-expressing reporter clone of SARS-CoV-2. The reporter virus allows for rapid transient replication assays and high throughput screens by detection of virus replication using luciferase assays. In addition, the reverse genetic system can be used to generate mutant viruses to study phenotypes of variant mutations. Additionally, unique human lung cell lines supporting SARS-CoV-2 replication will aid in studying the virus in a lung-relevant environment and based on high cytopathology induced in some cell lines, will be useful for screens that rely on virus-induced cell death for selection. Our study aims to enhance and contribute to the current replication tools available to study SARS-CoV-2 by providing rapid methods, virus clones and novel lung cell lines.

molecular biology↗