Biology subjects

Kaur, S.

Publications and source records attributed to Kaur, S..

At least 19 recordsLinked to original sources

bioRxiv2026

genomeRxiv: a genome-based identification web server that bridges the gap between taxonomy and strain typing

Precise identification depends on highly resolved classification. Therefore, whole genome-based strain typing schemes have been implemented for identification of the most important microbial human pathogens. However, there are no dedicated typing schemes for the majority of prokaryotic human, animal, and plant pathogens, or for non-pathogenic microbes, often limiting their identification to taxonomic classification tools that have the species as the smallest unit. To address this deficiency, we created the genomeRxiv web server which contains over 350,000 genomes and leverages the average nucleotide identity (ANI)-based Life Identification Number (LIN) approach, allowing users to identify prokaryotic genomes in real time from approximately genus-rank to near strain-level resolution. LINs are overlaid with circumscriptions of species and infraspecies classes, integrating taxonomy with strain typing. Metadata and distance trees are visualized to complement inferred phylogenetic relationships with epidemiological and ecological information. A command line tool is provided for users to upload k-mer sketches of unpublished genomes and associated metadata, facilitating epidemiological investigations without the need to share complete DNA sequences. In conclusion, genomeRxiv constitutes a much-needed resource for precise, rapid identification of the many prokaryotes not included in any pathogen-specific typing scheme.

bioinformatics↗

bioRxiv2026

Lens species genome assemblies reveal evolutionarily fragile chromosomes associated with pericentric inversions

The genus Lens is comprised of seven diploid species, including the cultivated crop Lentil, and six wild relatives often used in breeding programs for beneficial allele introgression. Lens species are proposed to exhibit considerable levels of genome structural variation both within and between species, which has implications for plant breeding and evolutionary genomics. Plant centromeres are key regions involved in chromosomal stability, where structural changes can be linked to meiotic abnormalities, resulting in inversions, translocations, and deletions of chromosomal segments. Fabeae centromeres are known to be diverse and do not fit the centromere drive model. The origins of this centromere diversity and the evolutionary trends remain unclear, but recent studies suggest that centromere structural variation plays a role in creating new sequence combinations that contribute to the unique centromere evolution patterns observed in legumes. We sequenced, assembled, and performed gene synteny analysis in the genomes of all seven Lens species using long-read sequencing technologies. We also located and characterized the centromeres in these genomes through ChIP-seq experiments to better understand their role in Lens chromosomal stability. Synteny analysis reveals that Lens genomes have undergone extensive rearrangements during evolution, with multiple translocations and inversions identified between species. Specific Lens chromosomes appear more susceptible to rearrangements over time. These same chromosomes also exhibit higher rates of rearrangement throughout Lens speciation. Fragile chromosomes are associated with the occurrence of pericentric inversions, likely disrupting stability. The diversity in satellite sequences in Lens centromeres likely results from structural changes accumulated throughout Lens evolution. These findings suggest that genome and centromere structure play significant roles in generating centromere diversity within this legume genus.

genomics↗

bioRxiv2026

CD59 organizes the plasma membrane to sustain oncogenic Ras-MAPK signaling and is a targetable vulnerability in acute myeloid leukemia

Acute myeloid leukemia (AML) is a clinically heterogeneous disease. Although the genetic abnormalities associated with poor prognosis are well defined, how they drive unfavorable outcomes remains unclear. Using published gene-expression and dependency datasets, we searched for cell-surface protein-coding genes associated with poor survival and required for AML growth, prioritizing this class of proteins for its accessibility to biologics. This search identified CD59, a GPI-anchored protein with a canonical role in complement regulation, whose high mRNA expression correlates with adverse-risk genetics and stemness signatures. CD59 silencing impaired proliferation across genetically diverse AML cell lines, reduced leukemic burden, and extended survival in cell xenograft models. Moreover, CD59 expression was enriched on leukemic stem cells (LSCs), and its depletion impaired LSC self-renewal and primary AML engraftment in vivo while sparing normal hematopoiesis. Mechanistically, these effects reflected a non-canonical role for CD59 in sustaining Ras-MAPK signaling, whereby its loss depleted inner-leaflet phosphatidylserine and impaired Ras and c-Raf membrane recruitment and activation. rILYd4, a recombinant fragment of the bacterial toxin intermedilysin that binds and degrades CD59, recapitulated these effects and sensitized cells to venetoclax in vivo. These findings reveal CD59 as a critical regulator of Ras-MAPK signaling required for AML growth and nominate its rILYd4-mediated degradation as a therapeutic strategy.

cancer biology↗

bioRxiv2026

AI semantics for biomedical data integration

Researchers increasingly need to explore hypotheses that span multimodal data across different scales, organisms, and domains. In practice, this requires connecting knowledge across fragmented databases with incompatible APIs and heterogeneous annotation practices. Large language model (LLM) agents can automate this data integration process, but grounding LLM agent outputs in scientifically correct sources of truth remains a significant challenge. Here we describe our deployment of a novel AI semantics workflow using LLM agents to enable scalable data integration, grounded in biological knowledge in the form of ontologies. Our workflow comprises (1) a multi-agent system curating scientific knowledge across ontologies using the Ontology Lookup Service (OLS) as grounding; (2) an LLM embedding service to enable interoperability between scientific databases by mapping ontology terms; and (3) GrEBI, a knowledge graph and Model Context Protocol (MCP) server enabling LLM agents to conduct cross-cutting, multi-omic biomedical queries.

bioinformatics↗

bioRxiv2026

Segregation and integration between visuo-spatial attention and semantic memory across large-scale brain networks

Visuo-spatial attention and semantic memory are supported by distinct, largely competing brain networks, yet they are frequently engaged together in daily life. How these networks interact during combined tasks remains unexplored. We conducted a factorial fMRI experiment in which 25 participants performed a novel task requiring visuo-spatial attention, semantic judgment, or both. Covert shifts of attention towards cued lateral location activated bilateral parietal (PEF), frontal eye fields (FEF), and anterior insula. Categorizing a word as referring to a living or non-living entity activated a lateral parietal region (LaP) between the dorsal tip of the angular gyrus and the lateral bank of the intraparietal sulcus, along with the left inferior frontal gyrus (IFG), superior temporal sulcus, inferior temporal lobe and bilateral anterior insula. Notably, the anterior insula was active in both conditions. Dynamic causal modeling showed excitatory-inhibitory parieto-frontal loops driving attention (PEF[->]FEF) and semantic processing (LaP[->]IFG) separately, but in the combined condition frontal-to-parietal feedback became excitatory, reflecting stronger integration, with the anterior insula driving overall connectivity. These findings identify LaP as a novel region supporting semantic processing of linguistic stimuli, and highlight the anterior insula as a key hub integrating attentional and semantic networks under concurrent cognitive demands. HighlightsVisuo-spatial attention and semantic memory rely on segregated parieto-frontal circuits. However, concurrent demands induce a large-scale reconfiguration centered on the left anterior insula, which acts as an integrative hub between the two networks.

neuroscience↗

bioRxiv2026

Integrative genomics reveals shared and stress-specific adaptive pathways underlying acidic soil-associated metal toxicity in rice

Soil acidity-associated toxicities of aluminum (Al), cadmium (Cd), and manganese (Mn) severely constrain rice productivity in upland ecosystems. To investigate the genomic basis of adaptation to acidic soil-related metal stress, we conducted an integrated meta-QTL (M-QTL) and functional genomics analysis in rice. Meta-analysis of 681 QTLs and MTAs from 53 QTL mapping and GWAS studies identified 79 robust M-QTLs, including ten overlapping regions associated with Al-, Cd-, and Mn-responsive traits. A multi-criteria prioritization framework identified 98 candidate genes supported by positional overlap, transcriptomic recurrence, and functional annotation, enriched for ion transport, detoxification, and redox regulation pathways. M-QTL10.9 emerged as a major hotspot enriched for glutathione-S-transferase genes, whereas M-QTL9.5 contained the highest density of prioritized candidates linked to Al and Cd responses. Comparative physiological & biochemical analyses of the contrasting rice genotypes Sahasarang and IR64 revealed genotype-dependent differences in antioxidant responses, metal partitioning, metabolic regulation, and cell wall remodeling under individual and combined metal stresses. Expression profiling of prioritized candidate genes, including OsACO family genes, OsZIP10, and OsGSTU10, further revealed genotype-dependent transcriptional divergence under combined stress. The identification of overlapping M-QTLs across Al, Cd, and Mn datasets suggests both shared and stress-specific adaptive responses to acidic soil-associated metal stress in rice.

genomics↗

bioRxiv2026

Sinorhizobium meliloti possesses a complete Embden-Meyerhoff-Parnas pathway that is indispensable for symbiotic nitrogen fixation

Rhizobia are an agronomically valuable group of bacteria capable of entering into endosymbiotic relationships with leguminous plants, during which they fix atmospheric nitrogen using energy derived from the metabolism of plant-provided dicarboxylic acids. It is generally assumed that the gluconeogenic catabolism of dicarboxylic acids proceeds via the Embden-Meyerhoff-Parnas pathway in rhizobia. However, rhizobia are classically thought to lack the phosphofructokinase enzyme required for conversion of fructose-1,6-bisphosphate to fructore-6-phosphate as part of this pathway. Here, we demonstrate that a model rhizobium, Sinorhizobium meliloti, encodes a phosphofructokinase, completing the Embden-Meyerhoff-Parnas pathway of this organism. Biochemical characterization of the S. meliloti phosphofructokinase demonstrates that it can catalyze the reversible phosphorylation of fructose-6-phosphate under in vitro conditions in a pyrophosphate-dependent, rather than ATP-dependent, manner. We further show that S. meliloti also encodes a distinct fructose-1,6-bisphosphatase that can phenotypically complement the loss of the phosphofructokinase enzyme. Loss of both enzymes results in a block of the gluconeogenic pathway in S. meliloti and results in S. meliloti being unable to fix nitrogen in symbiosis with alfalfa (Medicago sativa). Phylogenetic analyses and complementation studies demonstrate that PPi-dependent phosphofructokinases are broadly distributed across the phylum Pseudomonadota (syn. Proteobacteria), including most rhizobial species of the class Alphaproteobacteria, suggesting both that PPi-dependent phosphofructokinases are likely more broadly distributed than is generally recognized, and that the catabolism of dicarboxylic acids in most rhizobia proceeds via a PPi-dependent phosphofructokinase. SIGNIFIGANCECentral carbon metabolism is an important biochemical network that bridges the gap between substrate catabolism and biosynthetic reactions in all living organisms. However, much of what we know about metabolism comes from the study of a few model organisms such as the bacterium Escherichia coli. Here, we identified the enzyme catalyzing a key step of central carbon metabolism in rhizobia (nitrogen-fixing bacterial symbionts of legumes), which until now had remained undetected. We show that this enzyme is dependent on pyrophosphate, which is different than the situation in E. coli, helping to explain why previous studies failed to identify this enzyme in rhizobia and highlighting the limitations associated with generalizing our understanding of metabolism from a limited subset of organisms.

microbiology↗

bioRxiv2026

Metabarcode and transcriptome datasets of Pinus sylvestris to assess fungal phyllosphere and disease dynamics.

Understanding how host-microbiome interactions influence tree disease is critical for understanding forest resilience. Here, we present foliar microbiome ITS2 metabarcoding transcriptomic datasets from Pinus sylvestris to investigate susceptibility to Dothistroma needle blight (DNB), a globally important foliar disease caused by Dothistroma septosporum. We hypothesised that host genotype shapes foliar microbial communities and their interactions, thereby influencing disease outcomes. Samples were collected from a progeny-provenance field trial in the south of Scotland representing a broad spectrum of disease susceptibilities. The dataset comprises ITS2 metabarcoding samples from 200 genotypes across three timepoints and RNAseq samples from 48 genotypes across two timepoints. Sampling captured key stages of pathogen exposure and disease progression. Both standardised and bespoke protocols were used for nucleotide extraction, sequencing, and quality control, including multiple negative and positive controls. These datasets, available in the European Nucleotide Archive (project accession PRJEB88228), enable analysis of temporal dynamics in foliar fungal communities, host-microbiome transcriptional responses, and genotype-dependent variation in disease susceptibility.

bioinformatics↗

bioRxiv2026

Bacteroidales on Harvesters: Baseline Prevalence and Abundance

Fresh produce encounters pathogens at various stages of production and supply, with the harvesting process serving as one of these stages. To evaluate contamination associated with harvesting, we systematically swabbed zone 1 harvester surfaces and quantified Bacteroidales as a fecal biomarker using quantitative polymerase chain reaction (qPCR). Baseline contamination was dominated by non-detects, with occasional low-level detections (<25 copies/cm2) near the assay limit of detection (LoD). Detection occurred more frequently post-harvest (overall [~]4% pre-harvest and 10% post-harvest), while microbial loads remained low, indicating that harvesting primarily affected the likelihood of low-level contamination rather than increasing contamination abundance. Additionally, we developed and field-deployed a portable loop- mediated isothermal amplification (LAMP) assay for rapid harvester hygiene assessment and benchmarked its field performance against qPCR. Together, these results support a practical molecular tool for monitoring fecal contamination and informing cleaning and sanitization decisions.

bioengineering↗

bioRxiv2026

A decade of disease survey data in a progeny-provenance trial: Dothistroma needle blight in Scots pine

Longitudinal data on disease susceptibility in forest trees are rare but essential for understanding host-pathogen dynamics and genetic variation in susceptibility traits. We present a long-term multisite common garden dataset quantifying susceptibility of Scots pine (Pinus sylvestris) to Dothistroma needle blight. The dataset comprises annual disease assessments collected from the same trees across 11 years, spanning 168 families and 21 Scottish provenances. This design enables partitioning of genetic and environmental sources of variation, evaluation of temporal stability in host response, and estimation of variance components and narrow-sense heritability of susceptibility. The data support analyses of phenotypic plasticity, provenance-level responses, and interactions between disease susceptibility and other adaptive traits. This resource will facilitate predictive modelling of host susceptibility under current and future environmental conditions.

ecology↗

bioRxiv2026

Reparative and regenerative immature neutrophil-like population derived from HL-60 cells

Unlike the conventional mature neutrophils, immature neutrophils have been investigated for their regenerative properties; however, their limited availability necessitates alternative generation strategies. Here, we used a combination of dimethylsulfoxide (DMSO) and 1,25-dihydroxyvitamin D3 (D3) to differentiate myeloid leukemia (HL-60) cells into immature neutrophil-like cells. Differentiated cells exhibited reduced cell size, loss of uniformity, decreased nuclear-to-cytoplasmic ratio, band-shaped nuclei, increased proportion of CD11b+CD14+ cells (indicative of immature neutrophils), decreased proportion of CD11b+CD16+ cells (indicative of mature neutrophils), higher levels of arginase 1, TGF{beta}1 (markers of immature neutrophils), and no expression of CD16, MRC1 (markers of mature neutrophils and M2 macrophages, respectively). Proteomic analysis revealed enrichment of proteins associated with immature neutrophils and wound healing. Functionally, these cells supported limbal stem cell growth and wound closure in vitro, indicating relevance for corneal regeneration. Administration of these cells to ex-vivo and in-vivo alkali-injured corneas, resulted in significant effect on promotion of wound healing, with epithelial regeneration and decreased fibrotic markers, proving that such cells hold promise for clinical translation as a therapeutic tool for tissue repair.

cell biology↗

bioRxiv2026

Host cohort has a larger impact on the gut microbiomes of mealworms and superworms than does the ingestion of polyethylene or polystyrene

Beetles (order Coleoptera) are a diverse insect group whose associated microbial communities remain understudied despite their ecological, commercial, and biotechnological importance. Larvae of the darkling beetle species Tenebrio molitor (mealworms) and Zophobas atratus (superworms) have gained attention for their reported ability to ingest and possibly degrade plastics such as polyethylene and polystyrene. This degradation is believed to be mediated by enzymes from their gut microbiota, yet the underlying microbial mechanisms remain unclear. Using deep shotgun metagenomics, we generated comprehensive gut metagenomes for mealworms and superworms, recovering 53 and 100 high-quality metagenome-assembled genomes (MAGs), respectively. We found that the gut microbiomes of both insect species are dominated by bacteria from the phyla Bacillota and Pseudomonadota, with superworms trending towards greater bacterial diversity than mealworms. Comparing gut bacterial communities of insects fed polyethylene or polystyrene versus controls revealed no clear plastic ingestion effects beyond those attributable to starvation. On the other hand, insect cohort contributed substantially to variation in bacterial community composition, explaining 23% and 33% of the total variation in mealworms and superworms, respectively. Finally, we computationally identified numerous secreted proteins with sequence similarity to enzymes previously implicated in polyethylene and polystyrene degradation, and we provide support for dye decolorizing peroxidase (DyP)-type peroxidases as being the enzyme class mostly likely to initiate plastic oxidation in the digestive tracts of mealworms and superworms. Overall, this study provides high-quality metagenomes and MAGs for mealworms and superworms, revealing substantial under-explored microbial biodiversity, and highlighting DyP-type peroxidases as promising targets for future plastic biodegradation studies.

microbiology↗

bioRxiv2026

Fentanyl + Xylazine Co Administration Leads to Sustained Depression of Breathing and Body Temperature Likely Driven by mu Opioid and alpha2a Adrenergic Pathway Interactions

Background and PurposeIts been reported that illicit drug supplies increasingly contain the 2-adrenergic agonist, xylazine, alongside fentanyl, yet the pharmacological basis for the greater lethality of this combination remains unclear. Prior research has shown that -opioid (Oprm1) receptors, on which fentanyl acts, and 2-adrenergic (Adra2a) receptors, on which xylazine acts, are both expressed within brainstem circuits that govern autonomic control, especially the parabrachial (PB) and Kolliker-Fuse (KF) nuclei that regulate respiration. Thus, we propose that co-activation of these inhibitory receptors and their respective pathways could potentiate or additively suppress respiratory and thermoregulatory function. Experimental ApproachFreely behaving C57BL/6J mice received intraperitoneal injections of either saline, fentanyl, xylazine, or fentanyl-xylazine (F+X) solutions. Continuous recordings of respiration using whole-body plethysmography, sleep/wake state using EEG/EMG and body temperature using both infrared thermography, and telemetry were collected for several hours following injection. RNAscope was used to identify Oprm1 and Adra2a expression within PB and KF nuclei. ResultsFentanyl alone produced dose-dependent respiratory depression that was not associated with body temperature changes, whereas the dose we used of xylazine alone had no effect on either respiration or body temperature. In contrast, F+X induced a markedly prolonged (>5 h) reduction in respiratory rate and profound hypothermia lasting 7-8 h, exceeding the effects of either drug alone. Mortality increased to 58.8% following F+X exposure. RNAscope revealed that both Oprm1 and Adra2a receptors are expressed in PB/KF FoxP2-positive neurons, identifying a plausible substrate for convergent inhibitory signaling. ImplicationsThis manuscript provides the first direct experimental evidence that fentanyl and xylazine may interact through convergent -opioid and 2-adrenergic receptor signaling to produce additive and sustained suppression of respiratory and thermoregulatory function. These findings address a critical mechanistic gap in understanding the disproportionate lethality of fentanyl-xylazine mixtures, an emerging public-health crisis. The work further identifies the PB/KF FoxP2 population as a plausible site of dual-receptor convergence and highlights a previously unrecognized pharmacodynamic interaction with immediate implications for overdose reversal strategies. Given the novelty, mechanistic insight, and translational urgency of these results, rapid dissemination will help accelerate scientific and clinical responses to this evolving threat. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/719036v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@5b54aeorg.highwire.dtl.DTLVardef@148b7dorg.highwire.dtl.DTLVardef@d1ebccorg.highwire.dtl.DTLVardef@1cfa9c8_HPS_FORMAT_FIGEXP M_FIG Possible convergent -opioid (Oprm1) and 2-adrenergic (Adra2a) signaling within parabrachial FoxP2-expressing neurons likely produces additive suppression of respiratory and thermoregulatory drive during fentanyl-xylazine co-exposure. Fentanyl and xylazine engage parallel inhibitory GPCR pathways in Parabrachial/ Kolliker Fuse nucleus (PB/KF) neurons that project to the pre-Botzinger complex (preBotC) to depress respiratory rhythm and to the dorsomedial hypothalamus (DMH) to blunt thermogenic output. Co-activation of these pathways results in sustained bradypnea, profound hypothermia, and reduced survival, providing a possible mechanistic basis for the increased lethality of fentanyl-xylazine mixtures. C_FIG

neuroscience↗

bioRxiv2026

Minoxidil hydrochloride impedes NLRP3 inflammasome activation via upregulation of AMPK-mediated autophagy

NLRP3 inflammasome is a cytosolic multi-protein complex that plays a crucial role in the immune system, responding to various exogenous and endogenous stimuli by triggering protective inflammatory responses. However, aberrant NLRP3 inflammasome activation is implicated in numerous inflammatory diseases. Therefore, the NLRP3 inflammasome is an important pharmacological target for the treatment of multiple diseases. In this context, we screened various US-FDA-approved drugs for NLRP3 inflammasome inhibition. We found that among various drugs, minoxidil hydrochloride (MXL) effectively inhibits NLRP3 inflammasome, evidenced by reduced secretion of IL-1{beta} and IL-18 in J774A.1 cells treated with MXL. The IC50 values of MXL for inhibition of IL-1{beta} and IL-18 were calculated to be 1.2 and 1.06 {micro}M, respectively. MXL was found to prevent ASC oligomerization, thereby inhibiting the NLRP3 inflammasome and leading to CASP1 cleavage. Further investigation revealed that MXL also utilizes AMPK-mediated autophagy to modulate NLRP3 inflammasome activity. Using siAMPK and bafilomycin A1, an end-stage autophagy inhibitor, we elucidated crosstalk between the NLRP3 inflammasome and autophagic pathways, which was modulated by MXL. Furthermore, we demonstrated the efficacy of MXL in two different mouse models of inflammation, involving the NLRP3 inflammasome. MXL at doses of 10 and 20 mg/kg effectively inhibited the activation of NLRP3 inflammasome by monosodium urate in the air pouch model and by ATP in the peritoneal inflammation model, as evidenced by reduced secretion of 1{beta} and IL-18 in the lavage. Our study identifies MXL as a potent NLRP3 inflammasome inhibitor, warranting further investigation as a potential therapeutic agent for inflammatory diseases.

immunology↗

bioRxiv2026

E-Selectin Orchestrates IL-1B-Dependent Neuroinflammation via NLRP3 in Vincristine-Induced Neuropathy

Vincristine-induced peripheral neuropathy (VIPN) is a frequent and dose-limiting complication of cancer therapy, yet the upstream mechanisms coupling vascular activation to neuroinflammation remain poorly defined. Here we identify E-selectin as a critical orchestrator of vincristine-induced neuropathy. Systematic interrogation of endothelial adhesion molecules in a murine model of VIPN revealed that blockade of E-selectin, but not ICAM-1, PECAM-1 or P-selectin, completely prevented mechanical hypersensitivity and markedly reduced F4/80 immune cell accumulation in dorsal root ganglia and peripheral nerves. Genetic deletion of E-selectin conferred equivalent protection, despite the absence of structural loss of intraepidermal or myelinated fibres, indicating a predominantly functional neuroimmune pathology. Spatial transcriptomics demonstrated that vincristine induces a conserved stress and neuroinflammation-associated transcriptional programme in dorsal root ganglia, with immune and stromal populations acting as dominant signalling hubs. Genetic or pharmacological perturbation of E-selectin did not abolish injury-associated pathways but redistributed cell-cell communication networks, reducing immune-cell dominance and reshaping interferon and metabolic signalling states without inducing Sele expression. Mechanistically, E-selectin exerted non-canonical effects beyond endothelial adhesion. Local E-selectin administration was sufficient to induce macrophage-dependent mechanical hypersensitivity that was abolished in Fut4/7-deficient mice and following phagocyte depletion. In macrophages, E-selectin enhanced vincristine-driven NF-{kappa}B activation, NLRP3 inflammasome assembly and IL-1{beta} release. Together, these findings position E-selectin as an upstream regulator of IL-1{beta}-dependent neuroinflammation in VIPN and identify selective targeting of E-selectin-mediated immune-neuron interactions as a therapeutic strategy for chemotherapy-induced neuropathy.

neuroscience↗

bioRxiv2025

SMAD4 loss drives cancer chromosomal instability through transcription-replication conflict-induced replication stress

Cancer chromosomal instability (CIN) drives tumor evolution through generating structural and numerical chromosome aberrations. However, its molecular determinants remain poorly characterized. Here, we uncover a yet unrecognized role for the tumor suppressor SMAD4 as a key regulator of genome stability. Mechanistically, loss of SMAD4 induces replication stress by promoting transcription-replication conflicts (TRCs), which induces chromosomal breaks and subsequent mitotic errors, leading to the concomitant emergence of structural and numerical CIN. While the tumor suppressor function of SMAD4 has been predominantly attributed to TGF-{beta} signaling, we find that its role in genome maintenance operates via BMP signaling and its transcriptional target gene ID3. Consequently, inhibition of BMP signaling mimics the loss of SMAD4 whereas re-expression of SMAD4 or ID3 suppresses TRCs, replication stress and mitotic errors in SMAD4-deficient cancer cells. Our findings reveal a TRC- and replication stress-driven mechanism by which loss of BMP-SMAD4 signaling causes cancer chromosomal instability.

cancer biology↗

bioRxiv2025

An Oral Combination therapy against SARS-CoV-2 based on Synergistic Action of Auranofin and Remdesivir.

The combination of direct-acting and host-directed antivirals targeting SARS-CoV-2 represents an attractive treatment strategy to combat COVID-19. In our previous work, we showed that the FDA-approved anti-arthritis drug Auranofin restricts SARS-CoV-2 replication and pathology in an animal model. Here, we report that Auranofin inhibits SARS-CoV-2 by targeting viral entry and main protease (Mpro) activity without affecting viral transcription. Time-of-addition studies combined with functional assays of viral entry, protease activity, and cell-cell fusion delineated its inhibitory effects at both early and late stages of the viral life cycle. Molecular docking and isothermal titration calorimetry analyses of Auranofin and the known Mpro inhibitor Nirmatrelvir indicated competitive binding within the Mpro active-site pocket. In addition, Auranofin attenuated NF-{kappa}B-dependent signalling and suppressed proinflammatory cytokine production. Combination studies with SARS-CoV-2 targeting nucleoside analogues, revealed the strongest synergistic antiviral activity with remdesivir in vitro. Comparable synergy was observed between auranofin and GS-621763, the orally bioavailable derivative of remdesivir, and was further validated in a preclinical animal model. Collectively, these findings provide a rationale for the further development of auranofin-nucleoside analog combinations targeting SARS-CoV-2. FundingThis research has been supported by ICMR (IIRPIG-2023-0000978) and BIRAC grant (BT/CS0070/06/22) to ST. We acknowledge the infrastructure and research support provided to IISc by the Crypto Relief Fund, L&T Trust, DST-FIST program, Institute of Eminence Fund, Ministry of Education, and the DBT-IISc partnership program (Phase II). RN acknowledges DBT-RA fellowship, SK acknowledges PMRF fellowship, and RS acknowledges FICCI-PMRF fellowship. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSMultiple previous studies have provided evidence showing that auranofin is an antiviral agent targeting SARS-CoV-2 through a host-targeting mechanism, involving the inhibition of thioredoxin reductase and redox homeostasis. Mixed results have been reported regarding the effect of this drug on inhibiting virus-induced syncytia. A prior study from our lab demonstrated the drugs effectiveness in reducing SARS-CoV-2 viral loads in both cell and animal models. Added value of the studyOur study firmly establishes the synergistic use of Auranofin and Remdesivir GS 621763 in the treatment of SARS-CoV-2 infection.

microbiology↗

bioRxiv2025

Multilevel HierCC typing scheme for global genomic epidemiology and antimicrobial resistance surveillance of Campylobacter jejuni

Campylobacter jejuni is the most common bacterial cause of human gastroenteritis around the world. The disease burden and financial cost associated with C. jejuni pose significant challenges to the global public health system. A stable, scalable and standardised typing scheme is essential for epidemiological and AMR surveillance for prevention and control of C. jejuni infections. We curated and assembled a C. jejuni global whole genome sequencing (WGS) dataset of 63,012 publicly available Illumina short-read genomes. A C. jejuni global cgMLST scheme with 1161 core loci was developed using a representative subset of 2,587 genomes. HierCC clustering of the cgMLST profiles was performed for all levels and suitable HierCC levels were selected to enable epidemiological analysis. Antimicrobial resistance (AMR) prediction was performed using AbritAMR. A HierCC cluster was classified as a resistant cluster if [≥]80% of the isolates were resistant to at least one antibiotic.We selected 9 HierCC levels (HC2, HC4, HC6, HC12, HC19, HC55, HC100, HC167 and HC264) to form the multilevel HierCC scheme. The multilevel design allowed natural and genetically discrete clusters to be described consistently at both global and local scale. We showcased the utility of the scheme with identification of country and continent specific clusters at HC264 to HC19 levels and differentiation of animal host specific (specialist) from human infection (generalist) clusters at HC264 to HC55 levels. In the USA dataset from 2016 to 2022, a total of 276 resistant clusters were identified with 22 resistant clusters increasing in frequence in recent years. An increased prevalence of C. jejuni carrying 50S_L22 mutations in the USA was observed from 2016 to 2022, suggesting continuing selection pressure from macrolide use in the farm animals. We developed a novel multilevel HierCC typing scheme to standardise AMR surveillance and provide flexible typing resolution for both short- and long-term epidemiological investigations of C. jejuni at global and local levels.

microbiology↗