Biology subjects

Chakraborty, D.

Publications and source records attributed to Chakraborty, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Crosstalk between plasma membrane and Staphylococcus α-hemolysin during oligomerization

The infectious microbe Staphylococcus aureus releases an array of cytotoxic pore-forming toxins (PFTs) that severely damage the cell membrane during bacterial infection. However, the interaction interfaces between the host cell and toxin were merely explored. Herein, we monitored the active oligomeric states facilitated membrane disruption processes such as lysis, and protrusion in the plasma membrane and lipid membrane. Furthermore, necrosis was triggered in the neutrophil-like cells upon synergistic binding and oligomerization of the monomeric -HL. Additionally, we solved RBC membrane stabilized structure of different conformational states of this {beta}-PFT using a single-particle cryo-EM. We further confirmed that internal membrane fluidity was the deterministic factor associated with the formation of intermediate pre-pores, heptameric pore-like, and complete pore species. Together, this is the first study to unveil the structure-function analysis of pre-pore to pore transition of any small {beta}-PFT during its crosstalk with the cell. HighlightsO_LI-HL promotes necrosis in HL60 cells and lysis of shorter lipid bilayer region. C_LIO_LICryo-EM of small PFT in the cellular environment. C_LIO_LIStructural characterization of heptameric pore, pore-like, and pre-pore complex in the presence of RBCs. C_LIO_LIBilayer phase behavior (Ld/Lo) governs different conformational and geometrical variants of -HL. C_LI

biophysics↗

bioRxiv2023

Discovering Novel Prognostic Biomarkers of Hepatocellular Carcinoma using eXplainable Artificial Intelligence

Hepatocellular carcinoma (HCC) remains a global health challenge with high mortality rates, largely due to late diagnosis and suboptimal efficacy of current therapies. With the imperative need for more reliable, non-invasive diagnostic tools and novel therapeutic strategies, this study focuses on the discovery and application of novel genetic biomarkers for HCC using explainable artificial intelligence (XAI). Despite advances in HCC research, current biomarkers like Alpha-fetoprotein (AFP) exhibit limitations in sensitivity and specificity, necessitating a shift towards more precise and reliable markers. This paper presents an innovative XAI framework to identify and validate key genetic biomarkers for HCC prognosis. Our methodology involved analyzing clinical and gene expression data to identify potential biomarkers with prognostic significance. The study utilized robust AI models validated against extensive gene expression datasets, demonstrating not only the predictive accuracy but also the clinical relevance of the identified biomarkers through explainable metrics. The findings highlight the importance of biomarkers such as TOP3B, SSBP3, and COX7A2L, which were consistently influential across multiple models, suggesting their role in improving the predictive accuracy for HCC prognosis beyond AFP. Notably, the study also emphasizes the relevance of these biomarkers to the Hispanic population, aligning with the larger goal of demographic-specific research. The application of XAI in biomarker discovery represents a significant advancement in HCC research, offering a more nuanced understanding of the disease and laying the groundwork for improved diagnostic and therapeutic strategies.

cancer biology↗

bioRxiv2023

Structural insights into viral hijacking of p53 by E6 and E6AP

The E3-ubiquitin ligase E6AP degrades p53 when complexed with the viral protein E6 from human papilloma virus (HPV), which contributes to the transformation of cells in HPV-related cancers. Previous crystal structures of the E6AP-E6-p53 ternary complex have implicated a peptide containing an LxxLL motif from E6AP as the interface between the three proteins. However, the contributions to the ternary complex from the remainder of the E6AP protein remain unknown. We reexamined this complex using cryo-EM and full-length proteins and find additional protein interaction interfaces involving a previously uncharacterized domain of E6AP. Additionally, we observe that the ternary complex forms both 1:1:1 and 2:2:2 stochiometric complexes comprised of E6AP, E6 and p53.

biophysics↗

bioRxiv2023

Competition between stacking and divalent cation mediated electrostatic interactions determines the conformations of short DNA sequences

Interactions between divalent cations (Mg2+ and Ca2+) and highly charged single stranded DNA (ssDNA) and double stranded DNA (dsDNA), as well as stacking interactions, are important in a variety of problems, including nucleosome stability and phase separation in nucleic acids. Quantitative techniques accounting for ion-DNA interactions are needed to obtain insights into these and related problems. Towards this end, we created a computational model that explicitly takes into account monovalent and divalent ions, within the framework of the sequence-dependent coarse-grained Three Interaction Site (TIS) model for DNA. Molecular simulations of the rigid 24 base-pair (bp) dsDNA and flexible ssDNA sequences, dT30 and dA30, in a buffer containing Na+ and Cl-, with varying amounts of the divalent cations, are used to show that the calculated excess number of ions around the dsDNA and ssDNA agree quantitatively with ion-counting experiments. Using an ensemble of all-atom structures generated from coarse-grained simulations, we calculated the Small Angle X-ray Scattering (SAXS) profiles, which are also in excellent agreement with experiments. Strikingly, recapitulation of all the experimental findings was achieved without adjusting any of the parameters in the energy function to fit the data. At a molecular level, we find that Mg2+ and Ca2+ sense the differences between the major and minor grooves in dsDNA even though they are masked in ion-counting and SAXS experiments. The smaller Mg2+ binds predominantly to the minor grooves and phosphate groups whereas Ca2+ binds specifically only to the minor groove. The dA30 conformations are dominated by stacking interactions, resulting in structures with considerable helical order. In contrast, the near cancellation of the favorable stacking and unfavorable electrostatic interactions leads to dT30 populating an ensemble of heterogeneous conformations.

biophysics↗

bioRxiv2023

Alcohol Responsive Genes in the Neutrophils of Acute-On-Chronic Liver Failure Reveal Modulation of Intracellular Calcium, ROS, and Phagocytosis

Acute-on-chronic liver failure (ACLF) is characterized by rapid depletion of hepatic reserves, innate immunity-driven pathogenesis and high short-term mortality. Elevation of neutrophil counts is associated with mortality in alcoholic-ACLF. In India, one of the most common etiologies in ACLF for both chronic and acute injury is alcohol. We used a combination of clinical transcriptomics and a novel in vitro laboratory model to look at gene signatures unique in alcoholic ACLF patients and study phenotypic changes upon alcohol treatment. CCL20 and IL1{beta} were two of the top overexpressed genes in alcoholic-ACLF which were validated in the alcohol-neutrophil model, using neutrophils isolated from CLD patients (acute-on-chronic model), and healthy individual (acute model). In the alcoholic-neutrophil models, 300 mg/dL dose of ethanol for 24 hours, caused reduced ROS generation, reduced phagocytic ability and dampening of intracellular calcium reserves. We conclude that the effects of alcohol at least partially explain immune dysfunction in ACLF such as dampening of ROS and phagocytosis in neutrophils while retaining inflammatory roles such as expression of CCL20 and IL1{beta}. Systematic curation of previously published alcohol related liver tissue transcriptomic data also confirmed overlapping genes with alcoholic-ACLF circulating neutrophils. Docking of ethanol with CCL20 and IL1{beta} showed spontaneous binding.

cell biology↗

bioRxiv2023

Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable AI

Explainable Artificial Intelligence (XAI) enables a holistic understanding of the complex and nonlinear relationships between genes and prognostic outcomes of cancer patients. In this study, we focus on a distinct aspect of XAI - to generate accurate and biologically relevant hypotheses and provide a shorter and more creative path to advance medical research. We present an XAI-driven approach to discover otherwise unknown genetic biomarkers as potential therapeutic targets in high-grade serous ovarian cancer, evidenced by the discovery of IL27RA, which leads to reduced peritoneal metastases when knocked down in tumor-carrying mice given IL27-siRNA-DOPC nanoparticles. SummaryExplainable Artificial Intelligence is amenable to generating biologically relevant testable hypotheses despite their limitations due to explanations originating from post hoc realizations.

bioinformatics↗

bioRxiv2023

Brewing COFFEE: a sequence-specific coarse-grained energy function for simulations of DNA-protein complexes

DNA-protein interactions are pervasive in a number of biophysical processes ranging from transcription, gene expression, to chromosome folding. To describe the structural and dynamic properties underlying these processes accurately, it is important to create transferable computational models. Toward this end, we introduce Coarse grained force field for energy estimation, COFFEE, a robust framework for simulating DNA-protein complexes. To brew COFFEE, we integrated the energy function in the Self-Organized Polymer model with Side Chains for proteins and the Three Interaction Site model for DNA in a modular fashion, without re-calibrating any of the parameters in the original force-fields. A unique feature of COFFEE is that it describes sequence-specific DNA-protein interactions using a statistical potential (SP) derived from a dataset of high-resolution crystal structures. The only parameter in COFFEE is the strength ({lambda}DNAPRO) of the DNA-protein contact potential. For an optimal choice of{lambda} DNAPRO, the crystallographic B-factors for DNA-protein complexes, with varying sizes and topologies, are quantitatively reproduced. Without any further readjustments to the force-field parameters, COFFEE predicts the scattering profiles that are in quantitative agreement with SAXS experiments as well as chemical shifts that are consistent with NMR. We also show that COFFEE accurately describes the salt-induced unraveling of nucleosomes. Strikingly, our nucleosome simulations explain the destabilization effect of ARG to LYS mutations, which does not alter the balance of electrostatic interactions, but affects chemical interactions in subtle ways. The range of applications attests to the transferability of COFFEE, and we anticipate that it would be a promising framework for simulating DNA-protein complexes at the molecular length-scale. Graphical TOC Entry O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/544064v2_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1190c18org.highwire.dtl.DTLVardef@169098eorg.highwire.dtl.DTLVardef@f24e75org.highwire.dtl.DTLVardef@1fd0bd1_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2023

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↗

bioRxiv2023

Enhanced protective efficacy of a novel, thermostable, RBD-S2 fusion immunogen against SARS-CoV-2 and its variants

With the rapid emergence of variants of concern (VOC), the efficacy of currently licensed vaccines has reduced drastically. VOC mutations largely occur in the S1 subunit of Spike. The S2 subunit of SARS-CoV-2 is conserved and thus more likely to elicit broadly protective immune responses. However, the contribution of the S2 subunit in improving the overall efficacy of vaccines remains unclear. Therefore, we designed, characterized, and evaluated the immunogenicity and protective potential of a stabilized SARS-CoV-2 Receptor Binding Domain (RBD) fused to a stabilized S2. Designed immunogens were expressed as soluble proteins with approximately fivefold higher purified yield than the Spike ectodomain and formulated along with Squalene-in-water emulsion (SWE) adjuvant. S2 immunization failed to elicit a neutralizing immune response but significantly reduced lung viral titers in mice challenged with the heterologous Beta variant. In hamsters, SWE-formulated RS2 showed enhanced immunogenicity and efficacy relative to corresponding RBD and Spike formulations. Despite being based on the ancestral Wuhan strain of SARS-CoV-2, RS2 exhibited broad neutralization, including against Omicron variants (BA.1, BA.5 and BF.7), as well as the clade 1a WIV-1 and SARS-CoV-1 strains. RS2 sera also showed enhanced competition with both S2 directed and RBD Class 4 directed broadly neutralizing antibodies, relative to RBD and Spike elicited sera. When lyophilized, RS2 retained antigenicity and immunogenicity even after incubation at 37 {degrees}C for a month. The data collectively suggest that the RS2 immunogen is a promising modality to combat SARS-CoV-2 variants.

biophysics↗

bioRxiv2023

Mutations in S2 subunit of SARS-CoV-2 Omicron spike strongly influence its conformation, fusogenicity and neutralization sensitivity

SARS-CoV-2 has remarkable ability to respond to and evolve against the selection pressure by host immunity exemplified by emergence of Omicron lineage. Here, we characterized the functional significance of mutations in Omicron spike. By systematic transfer of mutations in WT spike we assessed neutralization sensitivity, fusogenicity, and TMPRSS2-dependence for entry. The data revealed that the mutations in both S1 and S2 complement to make Omicron highly resistant. Strikingly, the mutations in Omicron S2 modulated the neutralization sensitivity to NTD- and RBD-antibodies, but not to S2 specific neutralizing antibodies, suggesting that the mutations in S2 were primarily acquired to gain resistance to S1-antibodies. Although all six mutations in S2 appeared to act in concert, D796Y showed greatest impact on neutralization sensitivity and rendered WT virus >100-fold resistant to S309, COVA2-17, and 4A8. S2 mutations greatly reduced the antigenicity for NAbs due to reduced exposure of epitopes. In terms of the entry pathway, S1 or S2 mutations only partially altered the entry phenotype of WT and required both sets of mutations for complete switch to endosomal route and loss of syncytia formation. In particular, N856K and L981F in Omicron reduced fusion capacity and explain why subsequent Omicron variants lost them to regain fusogenicity.

microbiology↗

bioRxiv2023

TOBF1 modulates mouse embryonic stem cell fate through co-transcriptional regulation of alternative splicing

Embryonic stem (ES) cells retain the ability to undergo lineage-specific differentiation that can eventually give rise to different cell types that constitute an organism. Although stem cell specific biological networks of transcription factors and epigenetic modifiers are well established, how the ES cell specific transcriptional and alternative splicing (AS) machinery regulate their expression has not been sufficiently explored. In this study, we show that the lncRNA associated protein TOBF1 regulates the co-transcriptional alternative splicing of transcripts necessary for maintaining stem cell identity in mouse ES cells. Overlaying information derived from TOBF1 chromatin occupancy, the distribution of its pluripotency-associated OCT-SOX binding motifs, and transcripts undergoing differential expression and alternative splicing upon its disruption unmasked local nuclear territories where these distinct events converge, ultimately leading to the maintenance of mouse ES cell identity.

developmental biology↗

bioRxiv2022

Deep Learning-based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease

The prognosis and treatment of the patients suffering from Alzheimers disease (AD) have been one of the most important and challenging problems over the last few decades. To better understand the mechanism of AD, it is of great interest to identify genetic variants associated with brain atrophy. Commonly in these analyses, neuroimaging features are extracted based on one of many possible brain atlases with FreeSurf and other popular softwares, which however may lose important information due to our incomplete knowledge about brain function embedded in these suboptimal atlases. To address the issue, we propose convolutional neural network (CNN) models applied to three-dimensional MRI data for the whole brain or multiple divided brain regions to perform completely data-driven and automatic feature extraction. These image-derived features are then used as endophenotypes in Genome-Wide Association Studies (GWAS) to identify associated genetic variants. When applied to the ADNI data, we identified several associated SNPs which have been previously shown to be related to several neurodegenerative/mental disorders such as AD, depression and schizophrenia. Code and supplementary materials are available at https://github.com/Dipnil07. The codes have been implemented using Python, R and Plink softwares.

bioinformatics↗

bioRxiv2022

Energy landscapes of Aβ monomers are sculpted in accordance with Ostwald's rule of stages

The transition from a disordered to an assembly-competent and sparsely populated monomeric state (N*) in amyloidogenic sequences is a crucial event in the aggregation cascade. Using a well-calibrated model for Intrinsically Disordered Proteins (IDPs), we show that the N* states, which bear considerable resemblance to distinct polymorphic fibril structures found in experiments, not only appear as excitations on the monomer free energy landscapes of A{beta}40 and A{beta}42 but also initiate the aggregation cascade. Interestingly, for A{beta}42, the transitions to the different N* states are in accord with Ostwalds rule of stages, with the least stable structures forming ahead of thermodynamically favored structures, which appear only on longer time-scales. Despite having similar topographies, the A{beta}40 and A{beta}42 monomer landscapes exhibit different extent of ruggedness, particularly in the vicinity of N* states, which we show have profound implications in dictating the intramolecular diffusion rates, and subsequent self-assembly into higher order structures. The network of connected kinetic states, which for A{beta}42 is considerably more complex than for A{beta}40, shows that the most favored dimerization routes proceed via the N* states. Direct transition between the disordered ground states within the monomer and dimer basins is less likely. The Ostwalds rule of stages holds widely, qualitatively explaining the unusual features in other fibril forming IDPs, such as Fused in Sarcoma (FUS). Similarly, the N* theory accounts for dimer formation in small disordered polyglutamine peptides, implicated in the Huntington disease. Graphical TOC Entry O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

biophysics↗

bioRxiv2022

CriSNPr: a single interface for the curated and de-novo design of gRNAs for CRISPR diagnostics using diverse Cas systems

Nucleic acid detection and variant calling through CRISPR-based diagnostics (CRISPRDx) has facilitated clinical decision-making, particularly during the COVID-19 pandemic. This has been further accelerated through the discovery of newer and engineered CRISPR effectors, expanding the portfolio of such diagnostic applications to a wide variety of pathogenic and non-pathogenic conditions. However, each diagnostic CRISPR pipeline requires customized detection schemes originating from fundamental principles of the Cas protein used, its guide RNA (gRNA) design parameters, and the assay readout. This is particularly relevant for variant detection, an attractive low-cost alternative to sequencing-based approaches for which no in silico pipeline for the ready-to-use design of CRISPR-based diagnostics currently exists. In this manuscript, we fill this lacuna using a unified webserver CriSNPr (CRISPR based SNP recognition), which provides the user the opportunity to de-novo design gRNAs based on six CRISPRDx proteins of choice (Fn/enFnCas9, LwCas13a, LbCas12a, AaCas12b, and Cas14a) and query for ready-to-use oligonucleotide sequences for validation on relevant samples. In addition, we provide a database of curated pre-designed gRNAs and target/off-target for all human and SARS-CoV-2 variants reported so far. CriSNPr has been validated on multiple Cas proteins and highlights its broad and immediate scope of utilization across multiple detection platforms. CriSNPr is available at URL http://crisnpr.igib.res.in/.

bioinformatics↗

bioRxiv2021

Molecular characterization of carbapenem resistant Klebsiella pneumoniae clinical isolates: Preliminary experience from a tertiary care teaching hospital in the Himalayas

IntroductionKlebsiella pneumoniae is recognized as an urgent threat to human health because of the emergence of multidrug-resistant (MDR) and hypervirulent strains. Development of novel highly effective and safe treatment options is the need of the hour. One of the ways of achieving this goal is by conducting molecular characterization studies of antibiotic resistant bacteria. Hypothesis/Gap StatementThe government of India is committed to generate validated AMR data from different parts of the country. Efforts are being made to perform molecular characterization of MDR and potentially virulent bacteria by whole-genome sequencing (WGS). However, the data that we have at present is skewed as many parts of the country remain underrepresented. Uttarakhand is one such state located in the Himalay an belt of India, with relatively poor access to healthcare and a paucity of research. AimThis study was performed to generate WGS based preliminary data about the population structure, multi-locus sequence types (MLST), and virulence factors of CRKp isolates recovered from patients in a tertiary care teaching hospital and institute of national importance, located in Rishikesh, Uttarakhand, India. MethodologyA cross-sectional study was conducted at a tertiary care teaching hospital. It included twenty-nine randomly selected and archived carbapenem resistant Klebsiella pneumoniae (CR-Kp) isolates obtained from various clinical samples submitted in the Bacteriology laboratory for culture and sensitivity testing, from July 2018 to August 2019. After preliminary identification (ID) and antibiotic susceptibility testing (AST), as per standard guidelines, these isolates were sent to Central Research Laboratory (CRL), Bengaluru, India, for further characterization & WGS. ResultsTwenty-seven out of twenty-nine test isolates were CRKp. Among the 27 CRKp isolates, ST14 was the most common sequence type (8, 29.6%), followed by ST231 (5, 18.5%) and ST147(3, 11.1%) respectively. KL2 (9/27, 33.3%) and KL51 (8/27, 29.6%) were dominant K loci types in this study. Out of 5 O antigens identified, O1 and O2 together accounted for 88.9% (n=27) CRKp isolates. Yersiniabactin and Aerobactin were identified in 88.9% (24/27) & 29.6% (8/27) of the CRKp isolates of the isolate. Regulatory genes rmpA2 and rmpADC were found in 14.8% (4/27) and 3.7% (1/27) isolates respectively. The predominant plasmid replicons present were ColKP3 (55.5%), IncFII(K) (51.8%), IncFIB(pQil) (44.4%), IncFIB(K) (37%), IncR (33.3%) and Col44 0I (18.5%) respectively. A perfect agreement (100%) was observed between phenotypic and genotypic resistance profiles in the case of fluoroquinolones, penicillins, Beta Lactam/Beta Lactam Inhibitor combinations (BL/BLI), and cephalosporins respectively. As compared to phenotypic resistance, higher genotypic resistance for aminoglycosides (96.3%) and folate pathway inhibitors (92.6%) respectively, was observed. ConclusionThis study emphasizes the need for continued genomic surveillance of emerging CRKp and other MDR bacteria in Uttarakhand and neighbouring states of India. This in turn would help in generating critical information that can be used to assess the emergence, dissemination, and potential impact of important variants.

microbiology↗

bioRxiv2021

Direct and indirect interactions promote complexes of the lipoprotein LbcA, the CtpA protease and its substrates, and other cell wall proteins in Pseudomonas aeruginosa

The Pseudomonas aeruginosa lipoprotein LbcA was discovered because it copurified with and promoted the activity of CtpA, a carboxyl-terminal processing protease (CTP) required for type III secretion system function, and for virulence in a mouse model of acute pneumonia. In this study we explored the role of LbcA by determining its effect on the proteome and its participation in protein complexes. lbcA and ctpA null mutations had strikingly similar effects on the proteome, suggesting that facilitating CtpA might be the most impactful role of LbcA in the bacterial cell. Independent complexes containing LbcA and CtpA, or LbcA and substrate, were isolated from P. aeruginosa cells, indicating that LbcA facilitates proteolysis by recruiting the protease and its substrates independently. An unbiased examination of proteins that copurified with LbcA revealed an enrichment for proteins associated with the cell wall. One of these copurification partners was found to be a new CtpA substrate, and the first substrate that is not a peptidoglycan hydrolase. Many of the other LbcA copurification partners are known or predicted peptidoglycan hydrolases. However, some of these LbcA copurification partners were not cleaved by CtpA, and an in vitro assay revealed that while CtpA and all of its substrates bound to LbcA directly, these non-substrates did not. Subsequent experiments suggested that the non substrates might co-purify with LbcA by participating in multi-enzyme complexes containing LbcA-binding CtpA substrates. IMPORTANCECarboxyl-terminal processing proteases (CTPs) are widely conserved and associated with the virulence of several bacteria, including CtpA in Pseudomonas aeruginosa. CtpA copurifies with the uncharacterized lipoprotein, LbcA. This study shows that the most impactful role of LbcA might be to promote CtpA-dependent proteolysis, and that it achieves this as a scaffold for CtpA and its substrates. It also reveals that LbcA copurification partners are enriched for cell wall-associated proteins, one of which is a novel CtpA substrate. Some of the other LbcA copurification partners are not cleaved by CtpA, but might copurify with LbcA because they participate in multi-enzyme complexes containing CtpA substrates. These findings are important, given the links between CTPs, their associated proteins, peptidoglycan remodeling, and virulence.

microbiology↗

bioRxiv2021

Sequence determines the switch in the fibril forming regions in the low complexity FUS protein and its variants

Residues spanning distinct regions of the low-complexity domain of the RNA-binding protein, Fused in Sarcoma (FUS-LC), form fibril structures with different core morphologies. NMR experiments show that the 214 residue FUS-LC forms a fibril with an S-bend (core-1, residues 39-95), while the rest of the protein is disordered. In contrast, the fibrils of the C-terminal variant (FUS-LC-C; residues 111-214) has a U-bend topology (core-2, residues 112-150). Absence of the U-bend in FUS-LC implies that the two fibril cores do not coexist. Computer simulations show that these perplexing findings could be understood in terms of the population of sparsely-populated fibril-like excited states in the monomer. The propensity to form core-1 is higher compared to core-2. We predict that core-2 forms only in truncated variants that do not contain the core-1 sequence. At the monomer level, sequence-dependent enthalpic effects determine the relative stabilities of the core-1 and core-2 topologies. TOC graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=164 SRC="FIGDIR/small/451535v2_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@f81959org.highwire.dtl.DTLVardef@4859f3org.highwire.dtl.DTLVardef@96aecorg.highwire.dtl.DTLVardef@4ab94e_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2021

Phylodynamic assessment of control measures for highly pathogenic avian influenza epidemics in France

Phylodynamic methods have successfully been used to describe viral spread history but their applications for assessing specific control measures are rare. In 2016-17, France experienced a devastating epidemic of a highly pathogenic avian influenza virus (H5N8 clade 2.3.4.4b). Using 196 viral genomes, we conducted a phylodynamic analysis combined with generalised linear model and showed that the large-scale preventive culling of ducks significantly reduced the viral spread between departements (French administrative division). We also found that the virus likely spread more frequently between departements that shared borders, but the spread was not linked to duck transport between departements. Duck transport within departements increased the within-departement transmission intensity, although the association was weak. Together, these results indicated that the virus spread in short-distances, either between adjacent departements or within departements. Results also suggested that the restrictions on duck transport within departements might not have stopped the viral spread completely. Overall, by testing specific hypothesis related to different control measures, we demonstrated that phylodynamics methods are capable of investigating the impacts of control measures on viral spread.

evolutionary biology↗