Biology subjects

Ansari, A.

Publications and source records attributed to Ansari, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Multi-cohort analysis of 37,739 oral microbiomes reveals ecologically influential health-associated microbial sub-communities across major oral subsites

The oral cavity contains multiple microbial sub-niches, but which taxa consistently play an ecologically important, health-associated role within each niche, and how conserved they are across populations, remains poorly understood, partly due to the lack of a standardised identification framework. We developed a multi-cohort framework integrating 37,739 oral microbiome profiles (16S rRNA and shotgun sequencing) from 142 cohorts (41 countries) ranking 542 taxa across four oral habitats, supragingival, subgingival, tongue-tonsil, and buccal-palate-mucosa, via a new Health-Associated-Core (HAC) score capturing consistent prevalence, ecological influence, and health-association. For saliva, with available longitudinal sampling, we extended this into a salivary-Health-Associated-Core-Keystone (sHACK) score additionally capturing stability-association, ranking 499 taxa. Using two complementary approaches for identifying ecological modules, high-sHACK salivary taxa concentrated within a single, connected sub-community of 28 members, consistently linked to prevalence, ecological influence, stability, and health. This sub-communitys abundance alone outperformed conventional dysbiosis indices in distinguishing healthy from diseased individuals and tracked stability in an independent cohort of 4,621 microbiomes. Comparable sub-communities emerged across three other subsites, with compositional differences mirroring physicochemical variation between sites. Machine learning linked taxa-specific-genome-encoded functions to their corresponding subsite-specific HAC/sHACK scores, offering a unified framework for prioritizing oral microbes diagnostically and therapeutically.

microbiology↗

bioRxiv2026

MifRix: An Integrated microbiome framework for predicting generic and disease-specific risks investigating inter-disease diagnostic cross-talks and intra-disease signature variability

The human gut microbiome is increasingly recognized as a diagnostic indicator across diverse diseases, yet unified frameworks integrating taxonomic and functional features for multi-disease risk assessment, while capturing disease-specific variability in microbiome-alteration signatures, remain limited. Here we present MifRix (Microbiome-inferred Risk-scores with explainability), a two-step ensemble machine-learning framework integrating microbial composition with composition-derived functional signatures to predict generic and disease-specific risk scores across 10 major diseases, coupled with profiling of risk-explainable microbiome features. MifRix was trained using 38,054 gut microbiomes spanning 150 cohorts and 48 nationalities, leveraging taxa abundance and taxa-inferred functional profiles derived from 57,743 functional features mapped across 4,814 species-level taxa. On unseen validation datasets (4,649 microbiomes, 32 cohorts), MifRix outperformed established microbiome health metrics, with disease-specific risk scores achieving strong discrimination (AUC: 0.92-0.99). The explainability module revealed shared microbial signatures across disease pairs, organizing all ten diseases along a continuous gastrointestinal-to-neurological risk gradient, driven not by whole-disease microbiome alteration signatures but by specific, reproducible sub-signatures within each disease. Applied across independent cohorts, MifRix scores further identified population subgroups and individuals at elevated risk for related diseases, flagged precursor/pre-disease states, and tracked therapy-associated response, establishing an interpretable framework for microbiome-based precision diagnostics and disease-risk stratification.

microbiology↗

bioRxiv2026

Serial vaccination expands and refines human CD4+ T cell memory

CD4+ T cells coordinate protective immunity against pathogens. However, a major unresolved question is how human CD4+ T cell memory is established and evolves following primary and repeated vaccination. Using COVID-19 mRNA vaccination as a model, we tracked 50 distinct antigen-specific populations directly ex vivo with peptide-MHC class II tetramers in eight SARS-CoV-2-naive individuals from pre-vaccine baseline through memory time points after three mRNA doses. Our findings identify the primary vaccine series as the main driver of memory pool size. It leverages pre-existing memory while preferentially recruiting high-avidity T cells, establishing an immunodominance hierarchy dominated by a small subset of precursors. Booster vaccination refines both the magnitude and quality of T cell memory. It increases select populations and enhances differentiation of subdominant CD4+ T cells. Populations that did not become more abundant after boosting retained their polyfunctional potential. Beyond establishing memory to the ancestral spike, vaccinations broadened responses by recruiting cross-reactive T cells recognizing viral variants. Collectively, these findings reveal how human CD4+ T cell memory evolves through sequential immunizations to generate a functionally diverse and broadly responsive memory repertoire against future viral challenges.

immunology↗

bioRxiv2026

MSMEG_1353 is a critical determinant of metabolic and cell envelope homeostasis in mycobacteria

The mycobacterial cell envelope is central to antibiotic resistance and stress adaptation, maintained by a network of essential proteins. Owing to their evolutionary divergence from other model organisms, mycobacteria encode numerous genus-specific genes that remain functionally uncharacterized, including the network of these essential genes. Here, we define MSMEG_1353 as a previously uncharacterized, essential ATP binding protein that plays a role in mycobacterial metabolism and cell envelope integrity. Conditional depletion of MSMEG_1353 resulted in severe growth attenuation, and the loss of characteristic mycobacterial cording. Further, the knockdown strain exhibited altered cell envelope permeability and an unusual antibiotic susceptibility profile, marked by isoniazid resistance accompanied with hypersensitivity to vancomycin. Functional analysis revealed pronounced membrane depolarisation and severe envelope defects, including distortion of outer membrane layers. Concomitantly, integrated transcriptomic and metabolomic profiling demonstrated widespread suppression of carbon metabolism accompanied by cofactor imbalance and redox perturbation, indicating a global metabolic rerouting upon MSMEG_1353 depletion. At the level of cell envelope composition, the lipid profiles indicate depletion of phthiocerol dimycocerosate (PDIM), trehalose polyphleate (TPP), and elevated levels of mycolic acid in the knockdown strain. Further, localisation studies revealed that MSMEG_1353 forms discrete clusters along the cell, with preferential enrichment at the old pole. Collectively, our findings establish MSMEG_1353 as a critical determinant of metabolic homeostasis and envelope permeability in Mycobacterium smegmatis, linking central carbon metabolism, and adaptive cell envelope remodeling.

microbiology↗

bioRxiv2025

Identifying the non-Bifidobacterial hallmarks of a Bifidobacterium-receptive gut microbiome

Bifidobacteria are key health-associated members of the human gut and widely used as probiotics, but their colonization success varies across individuals, partly due to baseline microbiome composition. In this analysis encompassing 51,058 gut microbiomes (148 cohorts spanning 46 countries across six continents), we investigated non-Bifidobacterial features associated with the overall detection and abundance of eight major Bifidobacterial species. While non-Bifidobacterial community composition significantly correlated with Bifidobacterial detection in 74% of analyzed cohorts, the associations for the individual species showed distinct age-/lifestyle-/disease-specific patterns (greater similarity within similar cohorts). We quantified these relationships as Association-Scores, further stratified by age group, lifestyle, profiling strategy (16S/WGS) and nine diseases, and reasonably reproduced in an external validation-cohort-set of 8 Bifidobacterium intervention studies (1,063 gut microbiomes). We subsequently utilized these scores to build microbiome-level receptive-scores corresponding to the 8 major Bifidobacterium species and their overall detection. Both robust linear regression and cross-study validation showed that combining baseline abundance of the administered Bifidobacterium with the corresponding baseline receptive-scores significantly predicted post-treatment persistence/increase in 75% trial-probiotic pairs. We identify 129 species-specific-genome-level functional-groups in non-Bifidobacterial taxa correlating with Bifidobacterial Association-Scores. This global analysis highlights non-Bifidobacterial microbiome features influencing Bifidobacterial colonization and provides tools to predict personalized responses to Bifidobacterial-probiotic interventions.

microbiology↗

bioRxiv2025

A systems biology investigation to identify potential bi-omarkers in leprosy-affected host cells.

M. leprae adapts to the host cell environment and disrupts protein-protein interactions inside the host cell for its own survival and proliferation. This study is attempts to comprehend these host-pathogen interactions at the systems level. We utilised RNA-Seq data set of leprosy-resistant and leprosy-susceptible armadillos and investigated how five different human signaling pathways get hijacked by M. leprae. We also identified the corresponding human homolog proteins. By applying graph theory on these protein networks, we predicted 25 proteins which play important role in these pathways related to leprosy pathogenesis and/progression. The study is also supported by wet lab experiments identifying 69 proteins in armadillos upon leprosy progression after experimental infection which get differentially expressed. Our study found that 69.5% of these experimentally identified proteins are part of either M. leprae-affected signaling pathways or possibly contribute to leprosy pathogenesis based on their GO terms. This study identified three human proteins: LC3-II, PI3K and IDO1 which have been implicated in M. leprae pathogenesis in other studies also leprosy patients. Thus, upon further experimentally validation, such markers can be potentially useful to diagnose leprosy in patients at an early stage .

systems biology↗

bioRxiv2025

Protein-interaction network analysis reveals a role of Prp19 splicing factor in transcription of both intron-containing and intron-lacking genes

We have previously demonstrated that the transcription-dependent interaction of the promoter and terminator ends of a gene, which results in the formation of a gene loop, is facilitated by the interaction of the general transcription factor TFIIB with the CF1, CPF and Rat1 termination complexes. To further elucidate the protein-protein interactions that stabilize gene loop, we performed mass spectrometry of affinity purified termination complexes from chromatin fraction. Quantitative proteomic analysis revealed additional interactions of termination factors with TFIID and SAGA complex. Since gene looping of intron-containing genes involves additional contacts of the promoter and terminator with the intron, we examined if termination factors interact with the splicing factors as well. All three termination complexes displayed statistically significant interactions with Prp19, Prp43, Sub2, Snu114, Brr2 and Smb1 splicing factors. Since Prp43 and Prp19 consistently emerged as the interactor of both initiation and termination factors, we affinity-purified both and performed mass spectrometry. Prp19 exhibited interactions with subunits of TFIID, CPF complex, and the RSC chromatin remodeling complex. These interactions were observed exclusively in the chromatin context, thereby implicating the factor in transcription of protein coding genes. Since fewer than 4% of yeast genes contain introns, we hypothesized that Prp19 might have a broader role in RNAPII transcription cycle. Auxin-mediated depletion of Prp19 resulted in about two-fold decrease in transcription of a subset of both intron-containing and intron-lacking genes. Specifically, the promoter recruitment of TBP registered a significant decline in the absence of Prp19. Chromatin immunoprecipitation (ChIP) analysis revealed crosslinking of Prp19 to the promoter proximal as well as downstream regions of both intronic and non-intronic genes. These findings demonstrate that Prp19 has a novel role in the initiation step of transcription in yeast.

biochemistry↗

bioRxiv2025

Machine learning ensemble identifies distinct age-related response to spaceflight in mammary tissue

BackgroundSpaceflight presents unique environmental stressors, such as microgravity and radiation, that significantly affect biological systems at the molecular, cellular, and organismal levels. Astronauts face an increased risk of developing cancer due to exposure to ionizing radiation and other spaceflight-related factors. Age plays a crucial role in the bodys response to the cellular stresses that lead to cancer, with younger organisms generally exhibiting more efficient response mechanisms than older ones. The vast majority of research investigating breast cancer risk from spaceflight is done in vitro, using cell lines exposed to simulated radiation and microgravity. ObjectivesThe primary objective of this observational study is to characterize the response to spaceflight of in vivo murine mammary tissue and identify the molecular biomarkers enriched in this response using mice flown on the International Space Station. The secondary objective is to determine if age plays a role in this response. MethodsThe NASA Open Science Data Repository (OSDR) has curated transcriptomic data obtained from murine mammary tissue in a controlled experiment (OSD-511) which includes 43 young and old female mice. In this study, we utilized an ensemble of four machine learning binary classifiers (logistic regression, support vector machine, random forest, and single-layer perceptron) to analyze gene expression profiles to predict age (old vs young) and condition (spaceflight vs ground control). Using the genes our ensemble identified as most predictive, we performed pathway enrichment analysis to investigate the molecular pathways involved in spaceflight-related health risks, particularly in the context of breast cancer. ResultsAll space-flown mice responded to spaceflight with evidence of systemic metabolic reprogramming and mitochondrial adaptation to microgravity and radiation as compared to their 33 ground control counterparts. For the 10 mice flown in space, older mice exhibited chronic, significantly enriched pathways related to cell adhesion and extracellular matrix (ECM) structure, while younger mice showed acute activation of pathways involved in cortisol synthesis and adrenergic stress response (with false discovery rate adjusted q-values < .001). These results provide putative biomarkers for monitoring and treating breast cancer. ConclusionsThese findings highlight the critical role of age in modulating the response to spaceflight-induced stress and suggest that these molecular pathways may contribute to differential outcomes in tissue homeostasis, metabolic disorders, and breast cancer tumorigenesis. Moreover, our computational methodology may be applied to several unexplored datasets in OSDR and beyond.

bioinformatics↗

bioRxiv2024

Minimized Sample Consumption for Time-Resolved Serial Crystallography Applied to the Redox Cycle of Human NQO1

Sample consumption for serial femtosecond crystallography (SFX) with X-ray free electron lasers (XFELs) remains a major limitation preventing broader use of this powerful technology in macromolecular crystallography. This drawback is exacerbated in the case of time-resolved (TR)-SFX experiments, where the amount of sample required per reaction time point is multiplied by the number of time points investigated. Thus, in order to reduce the limitation of sample consumption, here we demonstrate the implementation of segmented droplet generation in conjunction with a mix-and-inject approach for TR studies on NAD(P)H:quinone oxidoreductase 1 (NQO1). We present the design and application of mix-and-inject segmented droplet injectors for the Single Particles, Clusters, and Biomolecules & Serial Femtosecond Crystallography (SPB/SFX) instrument at the European XFEL (EuXFEL) with a synchronized droplet injection approach that allows liquid phase protein crystal injection. We carried out TR-crystallography experiments with this approach for a 305 ms and a 1190 ms time point in the reaction of NQO1 with its coenzyme NADH. With this successful TR-SFX approach, up to 97% of the sample has been conserved compared to continuous crystal suspension injection with a gas dynamic virtual nozzle. Furthermore, the obtained structural information for the reaction of NQO1 with NADH is an important part of the future elucidation of the reaction mechanism of this crucial therapeutic enzyme.

biochemistry↗

bioRxiv2024

Evidence for intrinsic DNA dynamics and deformability in damage sensing by the Rad4/XPC nucleotide excision repair complex

Altered DNA dynamics at lesion sites are implicated in how DNA repair proteins sense damage within genomic DNA. We examined DNA dynamics related to damage recognition by Rad4 (yeast ortholog of XPC), which recognizes diverse lesions from environmental mutagens and initiates nucleotide excision repair. Using laser temperature-jump (T-jump), we measured the dynamics of DNA containing 3 base-pair mismatches recognized specifically by Rad4 in vitro. The T-jump kinetics traces measured using a cytosine-analog FRET pair, together with rigorous comparison with equilibrium measurements, enabled conformational dynamics to be revealed beyond the T-jump observation window of [~]20 {micro}s - 50 ms. AT-rich nonspecific sites (matched or mismatched) exhibited dynamics primarily within the T-jump window, albeit with some amplitude in "missing" fast (< 20 {micro}s) kinetics. The fast-kinetics amplitudes increased dramatically for specific sites, which were further distinguished by additional missing amplitude in slow (> 50 ms) kinetics at elevated temperatures. We posit that the rapid ({micro}s-ms) fluctuations help stall a diffusing protein at AT-rich/damaged sites and that the >50-ms kinetics reflect a propensity for specific DNA to adopt unwound/bent conformations that may resemble Rad4-bound structures. These studies provide compelling evidence for unusual DNA dynamics and deformability that likely govern how Rad4 senses DNA damage.

biophysics↗

bioRxiv2024

TFIIB-termination factor interaction affects termination of transcription on a genomewide scale

Apart from its well-established role in initiation of transcription, the general transcription factor TFIIB has been implicated in the termination step as well. The ubiquity of TFIIB involvement in termination as well as mechanistic details of its termination function, however, remains largely unexplored. To determine the prevalence of TFIIBs role in termination, we performed GRO-seq analyses in sua7-1 mutant (TFIIBsua7-1) and the isogenic wild type (TFIIBWT) strains of yeast. Almost a three-fold increase in readthrough of the poly(A)-termination signal was observed in TFIIBsua7-1 mutant compared to the TFIIBWT cells. Of all genes analyzed in this study, nearly 74% genes exhibited a statistically significant increase in terminator readthrough in the mutant. To gain an understanding of the mechanistic basis of TFIIB involvement in termination, we performed mass spectrometry of TFIIB, affinity purified from chromatin and soluble cellular fractions, from TFIIBsua7-1 and TFIIBWT cells. TFIIB purified from the chromatin fraction of TFIIBWT cells exhibited significant enrichment of CF1A and Rat1 termination complexes. There was, however, a drastic decrease in TFIIB interaction with both CF1A and Rat1 termination complexes in TFIIBsua7-1 mutant. ChIP assay revealed that the recruitment of Pta1 subunit of CPF complex, Rna15 subunit of CF1 complex and Rat1 subunit of Rat1 complex registered nearly 90% decline in the mutant over wild type cells. The overall conclusion of these results is that TFIIB affects termination of transcription on a genome-wide scale, and TFIIB-termination factor interaction may play a crucial role in the process.

molecular biology↗

bioRxiv2023

Design of SARS-CoV-2 papain-like protease inhibitor with antiviral efficacy in a mouse model

The emergence of SARS-CoV-2 variants and drug-resistant mutants calls for additional oral antivirals. The SARS-CoV-2 papain-like protease (PLpro) is a promising but challenging drug target. In this study, we designed and synthesized 85 noncovalent PLpro inhibitors that bind to the newly discovered Val70Ub site and the known BL2 groove pocket. Potent compounds inhibited PLpro with inhibitory constant Ki values from 13.2 to 88.2 nM. The co-crystal structures of PLpro with eight leads revealed their interaction modes. The in vivo lead Jun12682 inhibited SARS-CoV-2 and its variants, including nirmatrelvir-resistant strains with EC50 from 0.44 to 2.02 {micro}M. Oral treatment with Jun12682 significantly improved survival and reduced lung viral loads and lesions in a SARS-CoV-2 infection mouse model, suggesting PLpro inhibitors are promising oral SARS-CoV-2 antiviral candidates. One-Sentence SummaryStructure-guided design of SARS-CoV-2 PLpro inhibitors with in vivo antiviral efficacy in a mouse model.

microbiology↗

bioRxiv2023

MicroRNA-541-3p alters lipoproteins to reduce atherosclerosis by degrading Znf101 and Casz1 transcription factors

High apoB-containing low-density lipoproteins (LDL) and low apoA1-containing high-density lipoproteins (HDL) are associated with atherosclerosis. In search of a molecular regulator that could simultaneously and reciprocally control both LDL and HDL levels, we screened a microRNA (miR) library using human hepatoma Huh-7 cells. We identified miR-541-3p that both decreases apoB and increases apoA1 expression by inducing mRNA degradation of two different transcription factors, Znf101 and Casz1. Znf101 enhances apoB expression while Casz1 represses apoA1 expression. The hepatic knockdown of orthologous Zfp961 and Casz1 genes in mice altered plasma lipoproteins and reduced atherosclerosis without causing hepatic lipid accumulation, most likely by lowering hepatic triglyceride production, increasing HDL cholesterol efflux capacity, and reducing lipogenesis. Notably, human genetic variants in the MIR541, ZNF101, and CASZ1 loci are significantly associated with plasma lipids and lipoprotein levels. This study identifies miR-541-3p and Znf101/Casz1 as potential therapeutic agent and targets, respectively, to reduce plasma lipoproteins and atherosclerosis without causing liver steatosis. O_FIG O_LINKSMALLFIG WIDTH=153 HEIGHT=200 SRC="FIGDIR/small/565110v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@741dd1org.highwire.dtl.DTLVardef@151ad9aorg.highwire.dtl.DTLVardef@15c96a9org.highwire.dtl.DTLVardef@1a73b2d_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract. A schematic diagram depicting the role of miR-541-3p in the control of plasma lipoproteins and atherosclerosis.Our data show that miR-541-3p downregulates ZNF101 and CASZ1 by enhancing post-transcriptional degradation of mRNAs after interacting with their 3'-UTRs. Furthermore, our data indicate that ZNF101 is an enhancer of APOB, and CASZ1 is a repressor of APOA1. Hepatic knockdown (KD) of Zfp961, an orthologue of ZNF101, reduces plasma apoB-containing lipoproteins, whereas KD of Casz1 increases high density lipoproteins in mice. Furthermore, we show that hepatic KDs of these transcription factors reduces atherosclerosis in mice induced by the expression of mutant PCSK9. C_FIG

physiology↗

bioRxiv2023

Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoring

The preterm neonate can experience stressors that affect the rate of brain maturation and lead to long-term neurodevelopmental deficits. However, some neonates who are born early follow normal developmental trajectories. Extraction of data from electroencephalography (EEG) signals can be used to calculate the neonates brain age which can be compared to their true age. Discrepancies between true age and brain age (the brain age delta) can then be used to quantify maturational deviation, which has been shown to correlate with long-term abnormal neurodevelopmental outcomes. Nevertheless, current brain age models that are based on traditional analytical techniques are less suited to clinical cot-side monitoring due to their dependency on long-duration EEG recordings, the need to record activity across multiple EEG channels, and the manual calculation of predefined EEG features which is time-consuming and may not fully capture the wealth of information in the EEG signal. In this study, we propose an alternative deep-learning approach to determine brain age, which operates directly on the EEG, using a Convolutional Neural Network (CNN) block based on the Inception architecture (called Sinc). Using this deep-learning approach on a dataset of preterm infants with normal neurodevelopmental outcomes (where we assume brain age = postmenstrual age), we can calculate infant brain age with a Mean Absolute Error (MAE) of 0.78 weeks (equivalent to a brain age estimation error for the infant within +/- 5.5 days of their true age). Importantly, this level of accuracy can be achieved by recording only 20 minutes of EEG activity from a single channel. This compares favourably to the degree of accuracy that can be achieved using traditional methods that require long duration recordings (typically >2 hours of EEG activity) recorded from a higher density 8-electrode montage (MAE = 0.73 weeks). Importantly, the deep learning models brain age deltas also distinguish between neonates with normal and severely abnormal outcomes (Normal MAE = 0.71 weeks, severely abnormal MAE = 1.27 weeks, p=0.02, one-way ANOVA), making it highly suited for potential clinical applications. Lastly, in an independent dataset collected at an independent site, we demonstrate the models generalisability in age prediction, as accurate age predictions were also observed (MAE of 0.97 weeks). HighlightsO_LIPreterm stress exposure leads to long-term neurodevelopmental deficits C_LIO_LIDeficits are quantifiable using EEG-based brain age prediction errors C_LIO_LIOur deep-learning solution for brain age prediction outperforms previous approaches C_LIO_LIPredictions are achieved with only 20 mins EEG and a single bipolar channel C_LIO_LIPrediction errors correlate with long-term Bayley scale neurodevelopmental outcomes C_LI

neuroscience↗

bioRxiv2022

Multiplexed microfluidic chip for cell co-culture

Paracrine signaling is challenging to study in vitro, as conventional culture tools dilute soluble factors and offer little to no spatiotemporal control over signaling. Microfluidic chips offer potential to address both of these issues. However, few solutions offer both control over onset and duration of cell-cell communication, and high throughput. We have developed a microfluidic chip designed to culture cells in adjacent chambers, separated by valves to selectively allow or prevent exchange of paracrine signals. The chip features 16 fluidic inputs and 128 individuallyaddressable chambers arranged in 32 sets of 4 chambers. Media can be continuously perfused or delivered by diffusion, which we model under different culture conditions to ensure normal cell viability. Immunocytochemistry assays can be performed in the chip, which we modeled and fine-tuned to reduce total assay time to 1h. Finally, we validate the use of the chip for co-culture studies by showing that HEK293Ta cells respond to signals secreted by RAW 264.7 immune cells in adjacent chambers, only when the valve between the chambers is opened.

bioengineering↗

bioRxiv2021

Global spread and evolutionary history of HCV subtype 3a

Studies have shown that HCV subtype 3a had likely been circulating in South Asia before its global spread. However, the time and route of this dissemination remain unclear. For the first time, we generated host and virus genome-wide data for more than 500 patients infected with HCV subtype 3a from the UK, North America, Australia and New Zealand. We used the host genomic data to infer the ancestry of the patients and used this information to investigate the epidemic history of HCV subtype 3a. We observed that viruses from hosts of South Asian ancestry clustered together near the root of the tree, irrespective of the sampling country and that they were more diverse than viruses from other host ancestries. We also inferred that three independent transmission events resulted in the spread of the virus from South Asia to the UK, North America and the Australian continent. This initial spread happened during or soon after the end of the second world war. This was followed by an exponential growth in the effective population size of HCV subtype 3a worldwide and many independent transmissions between the UK, North America and Australian continent. Using both host and virus genomic information can be highly informative in studying the virus epidemic history especially in the context of chronic infections.

evolutionary biology↗

bioRxiv2020

Tethering-facilitated DNA 'opening' and complementary roles of β-hairpin motifs in the Rad4/XPC DNA damage sensor protein

XPC/Rad4 initiates eukaryotic nucleotide excision repair on structurally diverse helix-destabilizing/distorting DNA lesions by selectively opening these sites while rapidly diffusing along undamaged DNA. Previous structural studies showed that Rad4, when tethered to DNA, could also open undamaged DNA, suggesting a kinetic gating mechanism whereby lesion discrimination relied on efficient opening versus diffusion. However, solution studies in support of such a mechanism were lacking and how opening is brought about remained unclear. Here, we present crystal structures and fluorescence-based conformational analyses on tethered complexes, showing that Rad4 can indeed open undamaged DNA in solution and that such opening can largely occur without one or the other of the {beta}-hairpin motifs in the BHD2 or BHD3 domains. Notably, the Rad4-bound open DNA adopts multiple conformations in solution notwithstanding the DNAs original structure or the {beta}-hairpins. Molecular dynamics simulations reveal compensatory roles of the {beta}-hairpins, which may render robustness in dealing with and opening diverse lesions. Our study showcases how fluorescence-based studies can be used to obtain information complementary to ensemble structural studies. The tethering-facilitated DNA opening of undamaged sites and the dynamic nature of open DNA may shed light on how the protein functions within and beyond NER in cells.

biochemistry↗

bioRxiv2020

Light-induced modulation of DNA recognition by the Rad4/XPC damage sensor protein

Biomolecular structural changes upon binding/unbinding are key to their functions. However, characterization of such dynamical processes with high spatial and temporal resolutions is difficult as it requires ways to rapidly trigger the assembly/disassembly as well as ways to monitor the structural changes over time. Recently, various chemical strategies have been developed to use light to trigger changes in oligonucleotide structures, thereby their activities. Here we report that photoswitchable DNA can be used to modulate the DNA binding of the Rad4/XPC DNA repair complex using light. Rad4/XPC specifically binds to diverse helix-destabilizing/distorting lesions including bulky organic adducts and functions as a key initiator for the eukaryotic nucleotide excision repair (NER) pathway. We show that the 6-nitropiperonyloxymethyl (NPOM)-modified DNA is recognized by the Rad4 protein as a specific substrate and that the specific binding can be abolished by light-induced cleavage of the NPOM group from DNA in a dose-dependent manner. Fluorescence lifetime-based analyses of the DNA conformations suggest that free NPOM-DNA retains B-DNA-like conformations despite its bulky NPOM adduct, but Rad4-binding renders it to be heterogeneously distorted. Subsequent extensive conformational searches and molecular dynamics simulations demonstrate that NPOM in DNA can be housed in the major groove of the DNA, with stacking interactions among the nucleotide pairs remaining largely unperturbed and thus retaining overall B-DNA conformation. Our work suggests that photoactivable DNA can be used as a DNA lesion surrogate to study DNA repair mechanisms such as nucleotide excision repair. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/313114v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1f31fc7org.highwire.dtl.DTLVardef@ab512dorg.highwire.dtl.DTLVardef@15e8493org.highwire.dtl.DTLVardef@51f58d_HPS_FORMAT_FIGEXP M_FIG Graphical Summary This work shows that a photolabile 6-nitropiperonyloxymethyl (NPOM)-modified DNA is specifically recognized by the Rad4/XPC damage sensor protein complex that initiates the nucleotide excision repair pathway; light-induced cleavage of NPOM abolishes the specific binding to Rad4/XPC. C_FIG

biochemistry↗