Biology subjects

Mishra, S.

Publications and source records attributed to Mishra, S..

At least 91 records · Page 5Linked to original sources

bioRxiv2023

SARS-CoV-2 Nsp13 is a viral RHIM protein promoting cell death linked to Z-RNA sensing and ZBP1-RIPK3 signaling

RHIM is a protein motif in cell death proteins that assembles higher-order signaling complexes and triggers regulated cell death, which in itself limits virus spread and additionally triggers inflammation for mounting immune responses. A few DNA viruses employ viral RHIMs mimicking host RHIMs. However, these viral RHIMs counteract host cell death by interacting with host RHIM proteins and blocking complex formation to alleviate antiviral defenses. Whether RNA viruses operate such viral RHIMs remains unknown. RHIM-protein signaling promotes lung damage and cytokine storm in respiratory RNA virus infections, arguing the presence of viral RHIMs. Here, we report the novel viral RHIMs in Nsp13 and Nsp14 of SARS-CoV-2 and other bat RNA viruses, providing the basis for bats as the hosts for their evolution. Nsp13 promoted cell death in bat and human cells, however, viral RHIM of Nsp13 is more critical for human cell death than bat cells, suggesting species-specific regulation. The conformation of RNA-binding channel in Nsp13 is critical for cell death in bat and human cells. Nsp13 showed RHIM-dependent interactions with ZBP1 and RIPK3 and promoted the formation of large insoluble complexes of ZBP1 and RIPK3. Also, Nsp13 promoted ZBP1-RIPK3 signaling-mediated cell death dependent on intracellular RNA ligands. Intriguingly, the SARS-CoV-2 genome consists of bona fide Z-RNA-forming segments. These SARS-CoV-2 Z-RNA segments promoted Nsp13-dependent cell death, further revealing Nsp13s association with Z-RNA sensing and ZBP1-RIPK3 signaling. Our findings reveal the functional viral RHIMs of bat-originated RNA viruses regulating host cell death associated with Z-RNA sensing and ZBP1-RIPK3 signaling activation. These observations allow the understanding of mechanisms of cellular damage and cytokine storm in SARS-CoV-2 and other bat-originated RNA virus infections. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/554434v2_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@f71c5aorg.highwire.dtl.DTLVardef@1666aa5org.highwire.dtl.DTLVardef@e37d82org.highwire.dtl.DTLVardef@145020f_HPS_FORMAT_FIGEXP M_FIG C_FIG One-sentence summaryBat-associated RNA viruses employ viral RHIMs and regulate host cell death.

immunology↗

bioRxiv2023

Autophagy protein Atg7 is essential and druggable for maintaining malaria parasite cellular homeostasis and organelle biogenesis

Plasmodium parasites have a complex life cycle that transitions between mosquito and mammalian hosts and undergoes continuous cellular remodeling to adapt to various drastic environments. Following hepatocyte invasion, the parasite discards superfluous organelles for intracellular replication, and the remnant organelles undergo extensive branching and mature into hepatic merozoites. Autophagy is a ubiquitous eukaryotic process that permits the recycling of intracellular components. Here, we show that the P. berghei autophagy-related E1-like enzyme Atg7 is expressed in the blood and liver stages, localized to the parasite cytosol and is essential for the localization of Atg8 on the membrane and the development of parasite blood and liver forms. We found that depleting Atg7 abolishes exocytosis of micronemes, organelle biogenesis and the formation of merozoites during liver stage development. Furthermore, we identified the compounds from the Maybridge library with a high docking score against PfAtg7. We show that these compounds inhibit apicoplast biogenesis and parasite development in both blood and liver stages. Overall, this study establishes the essential functions of autophagy in Plasmodium blood and liver stages and highlights the potential of using Atg7 as a drug target against malaria.

microbiology↗

bioRxiv2023

A genetic screen to uncover molecular mechanisms underlying lipid transfer protein function at membrane contact sites and neurodegeneration.

Lipid transfer proteins mediate the transfer of lipids between organelle membranes in eukaryotes and loss of function in these has been linked to neurodegenerative disorders. However, the mechanism by which loss of lipid transfer protein function leads to neurodegeneration is not understood. In Drosophila photoreceptors, depletion of Retinal Degeneration B (RDGB), a phosphatidylinositol transfer protein localized to endoplasmic reticulum-plasma membrane contact sites leads to defective phototransduction and retinal degeneration but the mechanism by which RDGB function is regulated and the process by which loss of this activity leads to retinal degeneration is not understood. RDGB is localized to membrane contact sites (MCS) and this depends in the interaction of its FFAT motif with the ER integral protein VAP. To identify regulators of RDGB function in vivo, we depleted more than 300 VAP interacting proteins and identified a set of 52 suppressors of rdgB. The molecular identity of these suppressors indicates a role for novel lipids in regulating RDGB function and for transcriptional and ubiquitination processes in mediating retinal degeneration in rdgB. The human homologs of several of these molecules have been implicated in neurodevelopmental diseases underscoring the importance of VAP mediated processes in these disorders.

neuroscience↗

bioRxiv2023

Characterization of covalent inhibitors that disrupt the interaction between the tandem SH2 domains of SYK and FCER1G phospho-ITAM

RNA sequencing and genetic data support spleen tyrosine kinase (SYK) and high affinity immunoglobulin epsilon receptor subunit gamma (FCER1G) as putative targets to be modulated for Alzheimers disease (AD) therapy. FCER1G is a component of Fc receptor complexes that contain an immunoreceptor tyrosine-based activation motif (ITAM). SYK interacts with the Fc receptor by binding to doubly phosphorylated ITAM (p-ITAM) via its two tandem SH2 domains (SYK-tSH2). Interaction of the FCER1G p-ITAM with SYK-tSH2 enables SYK activation via phosphorylation. Since SYK activation is reported to exacerbate AD pathology, we hypothesized that disruption of this interaction would be beneficial for AD patients. Herein, we developed biochemical and biophysical assays to enable the discovery of small molecules that perturb the interaction between the FCER1G p-ITAM and SYK-tSH2. We identified two distinct chemotypes using a high-throughput screen (HTS) and orthogonally assessed their binding. Both chemotypes covalently modify SYK-tSH2 and inhibit its interaction with FCER1G p-ITAM.

neuroscience↗

bioRxiv2023

Genetic Variations and Altered Blood mRNA Level of Circadian Genes and BDNF as Risk Factors of Post-Stroke Cognitive Impairment among Eastern Indians

BackgroundPost-stroke cognitive impairment (PSCI) is a clinical outcome in around 30% of post-stroke survivors. BDNF is a major gene in this regard. It regulates and being regulated by circadian rhythm. The circadian genes are correlated with stroke timings at molecular level. However, studies suggesting the role of these on susceptibility to PSCI is limited. AimWe aim here to determine a) genetic risk variants in circadian clock genes, BDNF and b) dysregulation in expression level of CLOCK, BMAL1 and BDNF, that may be associated with PSCI. MethodsBDNF (rs6265G/A, rs56164415C/T), CLOCK (rs1801260T/C, rs4580704G/C) and CRY2 (rs2292912C/G) genes variants were genotyped among 119 post-stroke survivors and 292 controls from Eastern part of India. In addition, we analysed their gene expression in PBMC from 15 PSCI cases and 12 controls. The mRNA data for BDNF was further validated by its plasma level through ELISA. ResultsAmong the studied variants, only rs4580704/CLOCK showed an overall association with PSCI (P = 0.001) and lower BMSE score. Its C allele showed a correlation with attention deficiency. The language and memory impairments showed association with rs6265/BDNF while the CC genotype of rs2292912/CRY2 negatively influenced language and executive function. A significant decrease in gene expression for CLOCK and BDNF in PBMC (influenced by specific genotypes) of PSCI patients was observed than controls. Unlike, Pro-BDNF, plasma level mBDNF was also lower in them. ConclusionsOur results suggest that the circadian genes and BDNF play a role in PSCI on both genetic and transcript level.

neuroscience↗

bioRxiv2023

Structure-guided engineering of biased-agonism in the human niacin receptor via single amino acid substitution

The Hydroxycarboxylic acid receptor 2 (HCA2), also known as the niacin receptor or GPR109A, is a prototypical G protein-coupled receptor that plays a central role in the inhibition of lipolytic and atherogenic activities in our body. Interestingly, GPR109A activation also results in vasodilation that is linked to the side-effect of flushing associated with dyslipidemia drugs such as niacin. This receptor continues to be a key target for developing novel pharmacophores and lead compounds as potential therapeutics in dyslipidemia with minimized flushing response, however, the lack of structural insights into agonist-binding and receptor activation has limited the efforts. Here, we present five different cryo-EM structures of the GPR109A-G-protein complexes with the receptor bound to dyslipidemia drugs, niacin or acipimox, non-flushing agonists, MK6892 or GSK256073, and recently approved psoriasis drug, monomethyl fumarate (MMF). These structures allow us to visualize the binding mechanism of agonists with a conserved molecular interaction network, and elucidate the previously lacking molecular basis of receptor activation and transducer-coupling. Importantly, cellular pharmacology experiments, guided by the structural framework determined here, elucidate pathway-selective biased signaling elicited by the non-flushing agonists. Finally, taking lead from the structural insights, we successfully engineered receptor mutants via single amino acid substitutions that either fail to elicit agonist-induced transducer-coupling or exhibits G-protein signaling bias. Taken together, our study provides previously lacking structural framework to understand the agonist-binding and activation of GPR109A, and opens up the possibilities of structure-guided novel drug discovery targeting this therapeutically important receptor.

biochemistry↗

bioRxiv2023

Nitrogen starvation causes lipid remodeling in Rhodotorula toruloides

The oleaginous yeast Rhodotorula toruloides is a promising chassis organism for the biomanufacturing of value-added bioproducts. It can accumulate lipids at a high fraction of biomass. However, metabolic engineering efforts in this organism have progressed at a slower pace than those in more extensively studied yeasts. Few studies have investigated the lipid accumulation phenotype exhibited by R. toruloides under nitrogen limitation conditions. Consequently, there have been only a few studies exploiting the lipid metabolism for higher product titers. Here, we present a multi-omic investigation of the lipid accumulation phenotype under nitrogen limitation. Through an integrative lens of transcriptomic and lipidomic analysis, we identify that R. toruloides undergoes lipid remodeling during nitrogen limitation, wherein the pool of phospholipids gets remodeled to mostly storage lipids. This insight into the mechanisms of lipid accumulation can lead to the success of future metabolic engineering strategies for overproduction of oleochemicals. HighlightsO_LIThe oleaginous yeast R. toruloides displays enhanced lipid accumulation during nitrogen starvation. C_LIO_LIA multi-omic investigation of the lipid accumulation phenotype was carried out. C_LIO_LILipid remodeling was observed during the accumulation phase, wherein carbon was transferred from phospholipids to storage lipids. C_LIO_LIMulti-omic analysis suggested that selective regulation within lipid biosynthesis controls for the specific increase of storage lipids. C_LI

systems biology↗

bioRxiv2023

An end-to-end pipeline for succinic acid production at an industrially relevant scale using Issatchenkia orientalis

As one of the top value-added chemicals, succinic acid has been the focus of numerous metabolic engineering campaigns since the 1990s. However, microbial production of succinic acid at an industrially relevant scale has been hindered by high downstream processing costs arising from neutral pH fermentation. Here we describe the metabolic engineering of Issatchenkia orientalis, a non-conventional yeast with superior tolerance to highly acidic conditions, for cost-effective succinic acid production. Through deletion of byproduct pathways, transport engineering, and expanding the substrate scope, the resulting strains could produce succinic acid at the highest titers in sugar-based media at low pH (pH 3) in fed-batch fermentations using bench-top reactors, i.e. 109.5 g/L in minimal medium and 104.6 g/L in sugarcane juice medium. We further performed batch fermentation in a pilot-scale fermenter with a scaling factor of 300x, achieving 63.1 g/L of succinic acid using sugarcane juice medium. A downstream processing comprising of two-stage vacuum distillation and crystallization enabled direct recovery of succinic acid, without further acidification of fermentation broth, with an overall yield of 64.0%. Finally, we simulated an end-to-end low-pH succinic acid production pipeline, and techno-economic analysis and life cycle assessment indicate our process is financially viable and can reduce life cycle greenhouse gas emissions by 34-90% relative to fossil-based production processes. We expect I. orientalis can serve as a general industrial platform for the production of a wide variety of organic acids.

synthetic biology↗

bioRxiv2023

Nuclear growth and import can be uncoupled

What drives nuclear growth? Studying nuclei assembled in Xenopus egg extract and focusing on importin /{beta}-mediated nuclear import, we show that, while nuclear growth depends on nuclear import, nuclear growth and import can be uncoupled. Nuclei containing fragmented DNA grew slowly despite exhibiting normal import rates, suggesting nuclear import itself is insufficient to drive nuclear growth. Nuclei containing more DNA grew larger but imported more slowly. Altering chromatin modifications caused nuclei to grow less while still importing to the same extent or to grow larger without increasing nuclear import. Increasing heterochromatin in vivo in sea urchin embryos increased nuclear growth but not import. These data suggest that nuclear import is not the primary driving force for nuclear growth. Instead, live imaging showed that nuclear growth preferentially occurred at sites of high chromatin density and lamin addition, whereas small nuclei lacking DNA exhibited less lamin incorporation. Our hypothesized model is that lamin incorporation and nuclear growth are driven by chromatin mechanical properties, which depend on and can be tuned by nuclear import.

cell biology↗

bioRxiv2023

Genomic surveillance reveals circulation of multiple variants and lineages of SARS-CoV-2 during COVID-19 pandemic in Indian city of Bengaluru

Genomic surveillance in response to coronavirus disease (COVID-19) pandemic is crucial for tracking spread, identify variants of concern (VoCs) and understand the evolution of its etiological agent, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). India has experienced three waves of COVID-19 cases, which includes a deadly wave of COVID-19 that was driven by the Delta lineages (second/Delta wave) followed by another wave driven by the Omicron lineages (third/Omicron wave). These waves were particularly dramatic in the metropolitan cities due to high population density. We evaluated the prevalence, and mutational spectrum of SARS-CoV-2 variants/lineages in one such megapolis, Bengaluru city, across these three waves between October 2020 and June 2022. 15,134 SARS-CoV-2 samples were subjected to whole genome sequencing (WGS). Phylogenetic analysis revealed, SARS-CoV-2 variants in Bengaluru city belonged to 18 clades and 196 distinct lineages. As expected, the Delta lineages were the most dominant lineages during the second wave of COVID-19. The Omicron lineage BA.2 and its sublineages accounted for most of the COVID-19 cases in the third wave. Most number of amino acid changes were observed in spike protein. Among the 18 clades, majority of the mutations and least similarity at nucleotide sequence level with the reference genome were observed in Omicron clades.

genomics↗

bioRxiv2023

Deciphering the phenotypic heterogeneity and drug response in cancer cells using genome-wide activity and interaction of chromatin domains.

The effect of co-localization of genes in the topologically associated domains (TADs) and their activity as a regulatory unit in cancer samples and cells, together with drug-response, needs comprehensive analysis. Here, we analyzed the activity of TADs using cancer-cell transcriptomes along with chromatin-interaction and epigenome profiles to understand their relationship with drug-response. Our analysis of 819 cancer cell-line transcriptomes revealed that their response to multiple drugs was more correlated with the activity of individual TADs than genes. Applying our approach to 9014 cancer patients data (20 different cancer types) also revealed a higher association between survival and the activity of thousands of individual TADs in comparison to their genes. CRISPR-mediated knock-out of regulatory sites inside a TAD associated with cisplatin-response of oral cancer cells and discovery of primate-specific gain of synteny of genes within a TAD containing EGFR gene and its contribution towards cancer malignancy demonstrate greater utility of TAD-activity based analysis.

cancer biology↗

bioRxiv2023

Structural insights into ligand-recognition, activation, and signaling-bias at the complement C5a receptor, C5aR1

Activation of the complement cascade is a critical part of our innate immune response against invading pathogens, and it operates in a concerted fashion with the antibodies and phagocytic cells towards the clearance of pathogens. The complement peptide C5a, generated during the activation of complement cascade, is a potent inflammatory molecule, and increased levels of C5a are implicated in multiple inflammatory disorders including the advanced stages of COVID-19 pathophysiology. The proximal step in C5a-mediated cellular and physiological responses is its interaction with two different seven transmembrane receptors (7TMRs) known as C5aR1 and C5aR2. Despite a large body of functional data on C5a-C5aR1 interaction, direct visualization of their interaction at high-resolution is still lacking, and it represents a significant knowledge gap in our current understanding of complement receptor activation and signaling. Here, we present cryo-EM structures of C5aR1 activated by its natural agonist C5a, and a G-protein-biased synthetic peptide ligand C5apep, in complex with heterotrimeric G-proteins. The C5a-C5aR1 structure reveals the ligand binding interface involving the N-terminus and extracellular loops of the receptor, and we observe that C5a exhibits a significant conformational change upon its interaction with the receptor compared to the basal conformation. On the other hand, the structural details of C5apep-C5aR1 complex provide a molecular basis to rationalize the ability of peptides, designed based on the carboxyl-terminus sequence of C5a, to act as potent agonists of the receptor, and also the mechanism underlying their biased agonism. In addition, these structural snapshots also reveal activation-associated conformational changes in C5aR1 including outward movement of TM6 and a dramatic rotation of helix 8, and the interaction interface for G-protein-coupling. In summary, this study provides previously lacking molecular basis for the complement C5a recognition and activation of C5aR1, and it should facilitate structure-based discovery of novel lead molecules to target C5aR1 in inflammatory disorders.

biophysics↗

bioRxiv2022

Genomic Sequencing from Sputum for Tuberculosis Disease Diagnosis, Lineage Determination and Drug Susceptibility Prediction

BackgroundUniversal access to drug susceptibility testing for newly diagnosed tuberculosis patients is recommended. Access to culture-based diagnostics remains limited and targeted molecular assays are vulnerable to emerging resistance conferring mutations. Improved sample preparation protocols for direct-from-sputum sequencing of Mycobacterium tuberculosis would accelerate access to comprehensive drug susceptibility testing and molecular typing. MethodsWe assessed a thermo-protection buffer-based direct-from-sample M. tuberculosis whole-genome sequencing protocol. We prospectively processed and analyzed 60 acid-fast bacilli smear-positive sputum samples from tuberculosis patients in India and Madagascar. A diversity of semi-quantitative smear positivity level samples were included. Sequencing was performed using Illumina and MinION (monoplex and multiplex) technologies. We measured the impact of bacterial inoculum and sequencing platforms on M. tuberculosis genomic mean read depth, drug susceptibility prediction performance and typing accuracy. ResultsM. tuberculosis was identified from 88% (Illumina), 89% (MinION-monoplex) and 83% (MinION-multiplex) of samples for which sufficient DNA could be extracted. The fraction of M. tuberculosis reads from MinION sequencing was lower than from Illumina, but monoplexing grade 3+ sputum samples on MinION produced higher read depth than Illumina (p<0.05) and MinION multiplex (p<0.01). No significant difference in overall sensitivity and specificity of drug susceptibility predictions was seen across these sequencing modalities or within each sequencing technology when stratified by smear grade. Lineage typing agreement percentages between direct and culture-based sequencing were 85% (MinION-monoplex), 88% (Illumina) and 100% (MinION-multiplex) ConclusionsM. tuberculosis direct-from-sample whole-genome sequencing remains challenging. Improved and affordable sample treatment protocols are needed prior to clinical deployment.

microbiology↗

bioRxiv2022

Overexpression of the plastidal pseudo-protease AtFtsHi3 confers drought tolerance without penalizing growth

Drought is one of the most severe environmental stresses affecting plant biomass production and quality, however, the molecular mechanisms of drought response in plants remain unclear. Here, we demonstrate that overexpression of the Arabidopsis gene FTSHi3 under the influence of its endogenous, or the 35S constitutive promoter results in drought-tolerant phenotypes without penalising plant growth. FTSHi3 encodes a pseudo-protease located in the chloroplast envelope and knock-down mutants (ftshi3-1) have previously been found to be drought tolerant, but highly reduced in growth. Changes in FtsHi3 transcript abundance therefore seems to induce drought tolerance in Arabidopsis thaliana. Overexpression of FTSHi3 (pFTSHi3-OE) impacts leaf stomatal density, lowers stomatal conductance and increases water use efficiency. To explore the underlying mechanisms behind this, we compared the proteomes of ftshi3-1 and pFTSHi3-OE to wild type plants grown under drought and watered conditions. Under drought conditions, the drought related processes osmotic stress, water transport and response to abscisic acid were enriched, indicating that pFtsHi3-OE and ftshi3-1 mutants are more active in their response to drought than the wild-type. The proteins HSP90, HSP93 and TIC110 were more abundant in the knock-down mutant, which suggests that FtsHi3 might play a downstream role in chloroplast pre-protein import. Increased abundance of FtsH7/9 and FtsH11, FtsH12 and FtsHi4 in ftshi3-1 combined with the fact that FtsH proteases function as homo- or heteromeric complexes suggests that these proteases may be possible interacting partners. To explore this, we constructed mathematical models that show FtsHi3 likely interacts with at least two other (pseudo-) proteases.

biochemistry↗

bioRxiv2022

Integration of silicon chip microstructures for in-line microbial cell lysis in soft microfluidics

The paper presents fabrication methodologies that integrate silicon components into soft microfluidic devices to perform microbial cell lysis for biological applications. The integration methodology consists of a silicon chip that is fabricated with microstructure arrays and embedded in a microfluidic device, which is driven by piezoelectric actuation to perform cell lysis by physically breaking microbial cell walls via micromechanical impaction. We present different silicon microarray geometries, their fabrication techniques, integration of said microarrays into microfluidic devices, device operation and testing on synthetic microbeads and microbial cells to evaluate their efficacy. The generalized strategy developed for silicon chip integration into soft polymeric devices can serve as an important process step for a new class of hybrid silicon-polymeric devices for future cellular processing applications. The proposed integration methodology can be scalable and integrated as an in-line cell lysis tool with existing microfluidics assays.

bioengineering↗

bioRxiv2022

Electroencephalogram Data Collection for Student Engagement Analysis with Audio-Visual Content

Recognizing and monitoring students attention during learning is crucial to successful knowledge acquisition since it influences cognitive function. As a result, gaining a precise picture of a learners mental state may enable interactive learning systems to alter tutoring content, devise effective help tactics, and improve learning outcomes. In computer-based learning environments, keeping track of students mental states is vital. Investigating the feasibility of utilizing active learning in enhancing student engagement index when exposed to various visual stimuli is the genesis of this work. The research includes collecting EEG data from 20 participants (ten males, ten females) while resting and being subjected to various virtual infotainment/educational content. The EEG data were collected using the Allengers Neuro PLOT, a 40-channel wet electrode system. The work includes raw and pre-processed EEG data under quiescent and audio-visual continuous cues. The recorded data is accommodated by a sophisticated EEG data pre-processing pipeline and will be available to the research community for usage. Specifications Table O_TBL View this table: org.highwire.dtl.DTLVardef@340852org.highwire.dtl.DTLVardef@e5c51org.highwire.dtl.DTLVardef@cefb1borg.highwire.dtl.DTLVardef@c7d208org.highwire.dtl.DTLVardef@ae4824_HPS_FORMAT_FIGEXP M_TBL C_TBL

neuroscience↗

bioRxiv2022

TransCistor reveals the landscape of cis-regulatory long noncoding RNAs

A key attribute of some long noncoding RNAs (lncRNAs) is their ability to regulate expression of neighbouring genes in cis. However, such cis-lncRNAs are presently defined using ad hoc criteria that, we show, are prone to false-positive predictions. The resulting lack of cis-lncRNA catalogues hinders our understanding of their extent, characteristics and mechanisms. Here, we introduce TransCistor, a framework for defining and identifying cis-lncRNAs based on enrichment of targets amongst proximal genes. TransCistors simple and conservative statistical models are compatible with functionally-defined target gene maps generated by existing and future technologies. Using transcriptome-wide perturbation experiments for 268 human and 134 mouse lncRNAs, we provide the first large-scale survey of cis-lncRNAs. Known cis-lncRNAs are correctly identified, including XIST, LINC00240 and UMLILO, and predictions are consistent across analysis methods, perturbation types and independent experiments. Our results indicate that cis-activity is detected in a minority of lncRNAs, primarily involving activators over repressors. Cis-lncRNAs are detected by both RNA interference and antisense oligonucleotide perturbations. Mechanistically, cis-lncRNA transcripts are observed to physically associate with their target-genes, and are weakly enriched with enhancer-elements. In summary, TransCistor establishes a quantitative foundation for cis-lncRNAs, opening a path to elucidating their molecular mechanisms and biological significance.

genomics↗

bioRxiv2022

Cryo-EM-based structural insights into supramolecular assemblies of γ-Hemolysin from Staphylococcus aureus reveal the pore formation mechanism.

{gamma}-hemolysin ({gamma}-HL) is a hemolytic and leukotoxic bicomponent {beta}-pore-forming toxin ({beta}-PFT), a potent virulence factor from Staphylococcus aureus Newman strain. In this study, we performed single particle cryo-EM of {gamma}-HL in a lipid environment. We observed clustering and square lattice packing of octameric HlgAB pores upon membrane bilayer, and an octahedral superassembly of octameric pore complexes, that we resolved at resolution 3.5 [A]. Our atomic model further demonstrated the key residues involved in hydrophobic zipping between the rim domains of adjacent octameric pore complexes, thus providing first evidence of additional structural stability in PFTs upon membrane lysis. We also observed lipid densities at the octahedral and octameric interfaces, providing critical insights into the lipid-binding residues involved for both HlgA and HlgB components. Furthermore, the hitherto elusive N-terminal region of HlgA has also been resolved in our cryo-EM map and an overall mechanism of pore formation for bicomponent {beta}-PFTs is proposed.

biophysics↗