Biology subjects

Smith, C.

Publications and source records attributed to Smith, C..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

FAK inhibitor treatment systemically regulates the glioblastoma immune environment via blocking monocyte trafficking

Glioblastoma (GBM) is the most common primary malignant brain tumour in adults with dismal survival rates, and current therapies, including most immunotherapies, are not efficacious due to the highly immunosuppressive microenvironment. Studies in other solid cancers report that impairment of the integrin effector pathway involving focal adhesion kinase (FAK) can promote anti-tumour immune responses. Therefore, we set out to address whether, and if so how, suppressing FAK function may influence GBM by using both tumour cell-specific FAK gene deletion and systemic delivery of a clinically relevant FAK kinase inhibitor (FAKi) VS-4718 in an orthotopic murine stem cell model of GBM. We found that treatment with the FAKi, but not tumour cell-specific FAK gene deletion, resulted in GBM clearance and improved survival. This was dependent on adaptive immunity, and tumour-infiltrating T cells in FAKi-treated tumours displayed increased cytotoxic potential and reduced exhaustion. We also found a significant reduction in immuno-suppressive peripherally-derived macrophages and FAKi treatment caused sequestration of inflammatory monocytes within the bone marrow, resulting in impaired monocyte trafficking to tumours as judged by adoptive transfer. This is due to suppression of key adhesion and migration signalling through 4{beta}1 integrin and CX3CR1 in peripheral monocytes. Our work here describes a previously unidentified role for FAK in trafficking of peripheral suppressive macrophages to GBM tumours, reducing T cell exhaustion and promoting anti-tumour immunity. This highlights a new way in which systemic FAK inhibitors can be used to provide a beneficial immune modulatory strategy for the treatment of GBM.

immunology↗

bioRxiv2025

Evolutionary remodeling of the ventral retina enables aerial vision in the four-eyed fish Anableps anableps

The emergence of evolutionary novelties remains a central challenge in biology, particularly for complex organs such as the vertebrate eye. While visual systems have repeatedly undergone degeneration or loss, examples of innovation are rare and poorly understood. Mechanistic insight into such gains requires tractable systems in which novel visual functions have evolved. Here we leverage the four-eyed fish Anableps anableps to uncover the cellular and molecular basis of adaptation to simultaneous aerial and aquatic light. Combining single-nucleus and spatial transcriptomics, we show that the Anableps ventral retina has been developmentally and functionally reconfigured for aerial vision. In fully aquatic teleosts such as zebrafish, ventral photoreceptors are tuned to red-shifted, downwelling light. In contrast, we show that Anableps exhibits an expanded and diversified ventral cone population encompassing ultraviolet-, blue-, green-, and red-sensitive types, enabling broad-spectrum, high-intensity vision from above water. To estimate Anableps opsin spectral properties, we employed OPTICS, a machine-learning model of opsin spectral tuning, which predicts that the ventrally expressed opn1mw2 opsin is red-shifted relative to typical green-sensitive pigments. Analysis of dorsal-ventral patterning markers reveals an overrepresentation of ventral retinal cell types. Consistent with this, comparative spatial transcriptomic profiling of developing and adult Anableps and the killifish (Fundulus heteroclitus) indicates a dorsal displacement of the dorsal-ventral boundary in Anableps, resulting in a proportionally larger ventral retinal domain. Collectively, our results reveal that Anableps achieved its unique dual visual capacity by developmentally expanding and functionally reprogramming the ventral retina for aerial light detection, an evolutionary innovation that redefines how retinal domains can adapt to radically different visual environments.

evolutionary biology↗

bioRxiv2025

Crystallographic characterisation and development of bi-substrate inhibitors of coronavirus nsp14 methyltransferase

SARS-CoV-2 non-structural protein 14 (nsp14) is essential for viral mRNA cap guanine-N7 methylation and represents a promising but underexplored antiviral target. Herein we describe a structure-guided campaign based on a hit from a focussed SAM mimetic library. Systematic SAR exploration guided by six X-ray co-crystal structures in complex with SARS-CoV-2 led to compound 26, a bi-substrate inhibitor that bridges the SAM and RNA cap binding sites. Compound 26 achieved nanomolar potency against nsp14 from SARS-CoV-2 (IC50 = 53 nM), SARS-CoV-1, and two alphacoronaviruses, with excellent selectivity over human RNMT and flaviviral MTase. In general, the compounds demonstrated favourable metabolic stability, passive permeability, and no HepG2 cytotoxicity. However, cellular antiviral activity was limited, revealing disconnects between enzyme inhibition and phenotypic response. These findings provide a structural framework for optimizing bi-substrate methyltransferase inhibitors against coronaviruses with a view for pan-coronaviral activity.

biochemistry↗

bioRxiv2025

ABCDscores: An R package for computing summary scores in the ABCD Study(R)

The ABCD Study(R) is the largest longitudinal research study of brain development and child health across the United States. The study generates a rich multimodal dataset, including file-based raw and derivative data and a curated tabulated dataset comprising data from a broad spectrum of research domains. Historically, summary scores in the tabulated dataset were computed using the electronic data capture system REDCap or external scripting solutions. However, this approach was rigid, unreliable, and lacked transparency around how scores were computed. Here, we introduce ABCDscores, an R software package that is used by the study to compute most non-proprietary summary scores included in the tabulated ABCD data resource and allows for customization to meet specific research needs. ABCDscores provides a flexible, open-source solution that uses R for transparent and reproducible scoring. The package is built to apply standard scoring methods across different types of assessments, ensuring consistent and accurate results even with large datasets. By simplifying complex scoring procedures into a user-friendly process, ABCDscores streamlines research workflows, reduces errors, and saves researchers valuable time. The package aims to improve analyses of data from the ABCD Study(R) and can serve as a model for the development of similar tools and a standardized framework for other research studies, fostering new discoveries and innovation in the field.

bioinformatics↗

bioRxiv2025

Rapid evolution in response to biological invasion: variation in resistance and survival of the European bitterling fish across a gradient of Sinanodonta woodiana expansion

Biological invasions impose new selective pressures on native species, prompting rapid evolutionary responses. We examined how the parasitic larvae (glochidia) of the invasive East Asian mussel Sinanodonta woodiana affect European bitterling fish (Rhodeus amarus) populations with different histories of exposure to the parasite (none, 15 years, or 40+ years). Glochidia parasitise fish fins and gills, and bitterling are especially vulnerable to parasitism due to their spawning association with mussels. We found the lowest glochidia load in bitterling from populations with the longest association with S. woodiana. While infection reduced swimming capacity proportionally to parasite load, this effect was not population-specific. However, post-infection mortality was highest in naive and lowest in long-associated populations, indicating evolved tolerance. No long-term effects on survival, growth, condition, or reproduction were observed, suggesting fitness costs are concentrated shortly after infection. These results show that novel host-parasite interactions during invasions can drive rapid adaptive change, emphasising the need to consider evolutionary dynamics in invasion management.

evolutionary biology↗

bioRxiv2025

Optimal TELSAM-Target Protein Linker Character is TargetProtein-Dependent

Fusing a variant of the sterile alpha motif domain of the human translocation ETS leukaemia protein (TELSAM) to a protein of interest has been shown to significantly enhance crystallization propensity. TELSAM is a pH-dependent, polymer-forming protein crystallization chaperone which, when covalently fused to a protein of interest, forms a stable, well-ordered crystal lattice. However, despite its success, a challenge persists in that crystal quality and diffraction limits appear to be heavily dependent on the choice of linker between TELSAM and the protein of interest, with identification of a functional linker relying on trial-and-error methods. Likewise, previous studies revealed that the 10xHis tag at the TELSAM N-terminus can either facilitate or hinder the ordered crystallization of target proteins attached via flexible or semi-flexible linkers. To address these challenges, we designed multiple constructs with several types of linkers--rigid (helical fusion), semi-flexible (Pro-Alan), and flexible (poly-Gly)--of varying lengths to fuse a designed ankyrin repeat protein (DARPin) to the TELSAM C-terminus. Semi-flexible and flexible linker constructs were made with and without the 10xHis tag. Our findings indicate that short semi-flexible and rigid linkers consistently yield large crystals within 24 hours with a DARPin target protein, but that flexible linkers perform best with a TNK1 UBA domain target protein. Removing the 10xHis tag enhanced crystallization rates, improved crystal morphology, and increased the crystallization propensity of semi-flexible and flexible linker constructs. While removing the His tag did not have a significant effect on crystal size, it improved the diffraction limits and crystal quality of the 1TEL-PA-DARPin construct. These results suggest that the ideal linker selection primarily depends on the properties of the target protein. Our data support the recommendation to use a short yet flexible or semi-flexible linker between TELSAM and the target protein to facilitate protein crystallization and high-resolution structure determination. SynopsisIn this study, we examine the effect of short to medium-length flexible, semi-flexible, and rigid linkers on the crystallization of a DARPin fused to the 1TEL protein crystallization chaperone, demonstrating that while rigid linkers impair crystallization and reduce diffraction quality, the ideal linker character remain target-protein dependent. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=91 SRC="FIGDIR/small/672704v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@b90d1org.highwire.dtl.DTLVardef@1508e7dorg.highwire.dtl.DTLVardef@1baf0d1org.highwire.dtl.DTLVardef@1843df_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Drivers of Variation of the Zebrafish Egg Microbiome

Microbiomes are integral to the fitness of many animals, yet little is known about early-life microbiome assembly. What is known largely comes from studies in non-model organisms, where it is difficult to distinguish host genetics from the environment as drivers of microbiome assembly. Here, we used a popular vertebrate model, zebrafish (Danio rerio), to address the major drivers of environmental assembly in 124 individuals. We surveyed the egg microbiome from fertilization to hatching using 16S rRNA gene sequencing and investigated development stage and parentage as potential drivers of microbiome variation. Phylogenetic diversity of the egg microbiome decreased during development, suggesting that environmental filtering may be a major driver of community assembly. Parentage also had an influence on microbiome assembly; eggs derived from the same clutch were often more similar in microbiome composition compared to eggs derived from different clutches. The effect of parentage on microbiome similarity decreased over development, suggesting that parents may be an initial source of egg microbiome members. The egg microbiome undergoes dramatic compositional shifts during development. Understanding the drivers of this variation is important to consider, especially given the role of the microbiome in health and development, and that early exposure to microbes may shape later animal development. Our findings suggest that parents may serve as an important source of microbial symbionts to their offspring, even in an animal that does not provide parental care, such as laboratory zebrafish, and that the developing egg may play an increasingly important role in driving microbiome variation across individuals. ImportanceEarly-life microbiome composition is integral for establishing the normal functioning of multiple host systems, including the nervous system, gastro-intestinal tract, and immune system. However, the drivers of variation in early-life microbiome composition are underexplored, especially in Danio rerio (zebrafish), an important model organism that has allowed extensive exploration of the role of the microbiome in host health and development. Here, we characterize the microbiome of individual zebrafish eggs and determine the effects of parental identity and developmental time on shaping the egg microbiome prior to hatching. Both parentage and age influence microbiome composition and diversity. We found evidence that species-sorting (i.e. selection of microbes by the egg) is an important driver of microbiome assembly during egg development. Furthermore, the effect of parentage on the microbiome, while significant throughout embryonic development, decays over time. Despite the lack of parental care in laboratory reared zebrafish, these findings suggest that the parents are significant source of microbes to their offspring.

microbiology↗

bioRxiv2025

Mechanistic Insights into Sex Differences in Atrial Electrophysiology and Arrhythmia Vulnerability through Sex-specific Computational Models.

Atrial fibrillation (AF), the most common cardiac arrhythmia, is characterized by notable sex differences in clinical presentation, treatment response, and outcomes. Although prevalence is similar between sexes, women often experience more severe symptoms, higher rates of adverse drug effects, and reduced treatment efficacy. To investigate the underlying sex-specific AF mechanisms, we developed and validated male and female human atrial cardiomyocyte models that integrate known sex-based differences in electrophysiology and calcium (Ca2+) handling under normal sinus rhythm (nSR) and chronic AF (cAF) conditions. While the model parameterizations were based on limited human data, and the assumptions may not capture the full spectrum of clinical variability, the models reproduced key reported sex-dependent differences in human atrial cardiomyocyte action potential (AP) and Ca2+ transient (CaT) dynamics. Simulations revealed that both sexes exhibited shortened effective refractory periods and wavelengths in cAF vs. nSR. However, females were more prone to delayed afterdepolarizations (DADs), while males were more susceptible to AP duration (APD) and CaT amplitude (CaTAmp) alternans. Population-based modeling identified distinct parameter associations with arrhythmia mechanisms, whereby DAD vulnerability was associated with enhanced ryanodine receptor sensitivity to Ca2+ (in females), and alternans in males correlated with reduced L-type Ca2+ current maximal conductance. Pharmacological simulations revealed sex-specific responses to antiarrhythmic therapies. In males, multiple drug combinations proved effective in restoring APD at 90% repolarization (APD90), CaTAmp, and reducing alternans susceptibility, whereas females responded to only one combination improving APD90 and CaTAmp but with minimal impact on DAD risk. These findings underscore the need for sex-specific therapeutic strategies and support the use of computational modeling in guiding precision medicine approaches against AF. Key pointsO_LIAtrial fibrillation (AF) is a common heart rhythm disorder that presents differently in males and females, but how the underlying mechanisms differ in males and females is not fully understood. C_LIO_LIWe developed and validated computer models of male and female human atrial cardiomyocytes that incorporate known sex differences in ion channels and calcium handling under normal sinus rhythm and AF conditions. C_LIO_LIUnder normal rhythm, males and females showed distinct electrical activity, which became less pronounced in AF. In AF, both sexes showed reduced effective refractory period and wavelength and depressed calcium transients. Males were more susceptible to electrical alternans, while females showed a greater tendency for calcium-driven delayed afterdepolarizations. C_LIO_LISimulated drug treatments showed greater benefit in male models, particularly with combinations targeting multiple potassium channels, while female models showed limited response. These results highlight the need for sex-specific approaches to treating AF and may help guide future drug development. C_LI

physiology↗

bioRxiv2025

DNA Methylation Ageing Atlas Across 17 Human Tissues

Aging involves widespread epigenetic remodeling across tissues, yet the nature and consistency of these changes remain unclear. We conducted a meta-analysis of more than 15,000 human methylomes spanning 17 tissues, identifying both conserved and tissue-specific aging signatures. We examined linear changes via differentially methylated positions, variability shifts via variably methylated positions, and Shannon-entropy to capture methylation disorder. Network analysis revealed fragile co-methylation modules largely resistant to beneficial perturbation. Key disruptors, including PCDHGA1, MEST, HDAC4, and HOX genes, exacerbated aging signals across tissues. Notably, a resilient module enriched for NAD{square} salvage metabolism supports therapeutic targeting of NAD{square} in aging. PCDHGA1 emerged as a conserved cross-tissue driver, suggesting protocadherin-mediated adhesion plays a broader role in maintaining structural and signaling stability in multiple organ systems. Our open-access atlas provides a foundational resource for dissecting the molecular architecture of human aging and identifying testable targets for intervention, biomarkers, and translational epigenetic therapies.

bioinformatics↗

bioRxiv2025

Huntingtin preserves mitochondrial genome integrity in neurons, which is impaired in Huntingtons disease

Huntingtin (HTT) function is enigmatic, as the native protein plays critical roles in neuronal health, while mutant HTT (mHTT), carrying an expanded polyglutamine stretch, triggers neurotoxicity and contributes to the pathogenesis of Huntingtons disease (HD). We recently found that HTT is part of a nuclear transcription-coupled DNA repair (TCR) complex with DNA repair enzymes including polynucleotide-kinase-3-phosphatase (PNKP). This complex resolves DNA lesions during transcription to maintain genome integrity, while in HD, mHTT impairs the activity of this complex, resulting in accumulation of DNA lesions. Using molecular, cellular biology and computational methods, we find that HTT has a role in assembling a functional DNA repair complex in mitochondria. Together with mitochondrial RNA polymerase and transcription factors, HTT resolves mitochondrial DNA lesions to preserve mitochondrial genome integrity and function. Pathogenic mHTT impairs this activity, resulting in persistent DNA lesions and reduced mitochondrial function in HD. Importantly, restoring activity of this complex in a Drosophila HD model through ectopic HTT or PNKP expression significantly improves mitochondrial genome integrity and ameliorates motor deficits. HIGHLIGHTSO_LIHTT organizes a functional, multifactorial mitochondrial DNA repair complex C_LIO_LIMutant HTT impairs the mitochondrial DNA repair complex causing DNA damage accumulation C_LIO_LIHTT-associated repair complex resolves mitochondrial DNA lesions and DNA integrity C_LIO_LIRestoring repair activity in HD flies rescues mitochondrial DNA integrity and motor defects C_LI

neuroscience↗

bioRxiv2025

Hierarchical Coordination of Polymerase Theta and RAD51 Resolves Clustered Replication Fork Collapse

The essential role of polymerase theta (Pol{theta})-mediated end joining (TMEJ), an alternative double strand break repair pathway, has been primarily studied in homologous recombination (HR)-deficient contexts(1, 2). Here, we uncover an indispensable role for TMEJ in HR-proficient mammalian cells during the repair of interstrand crosslinks (ICLs). We show that Pol{theta} is recruited downstream of canonical ICL repair steps--including ICL unhooking, RAD51 loading, and RAD51 ubiquitylation--and localizes to sites of unresolved HR through interactions with ubiquitylated RAD51 filaments. Using genomic scar profiling and targeted ICL repair assays, we find that TMEJ resolves a minor subset of lesions that are not amenable to HR repair, such as clustered ICLs that can induce two-ended replication fork collapse. These findings reveal a RAD51 ubiquitylation-dependent mechanism for Pol{theta} recruitment and establish TMEJ as a hierarchically deployed DNA repair pathway that safeguards genome stability when HR is insufficient to resolve replication-associated DNA damage. Short SummaryPol{theta} is recruited via RAD51 ubiquitylation to resolve clustered ICLs that generate HR-refractory replication fork collapse.

cell biology↗

bioRxiv2025

Mapping and reprogramming microenvironment-induced cell states in human disease using generative AI

Tissue microenvironments reprogram local cellular states in disease, yet current computational spatial methods remain descriptive and do not simulate tissue perturbation. We present MintFlow, a generative AI algorithm that learns how the tissue microenvironment influences cell states and predicts how tissue perturbations can reprogram them. Applied to three human diseases, MintFlow uncovered distinct pathogenic spatial reprogramming in inflammatory and tumor microenvironments. In atopic dermatitis, MintFlow identified a novel, spatially-imprinted, type 2 (IL13+ITGAE+) epidermal T resident memory cell population (type 2 TRM), and decoded signaling pathways within the perivascular lymphoid niche. In melanoma, MintFlow identified fibrotic stroma resembling keloid scar tissue. In kidney cancer, MintFlow resolved immunosuppressed CD8+ T cell states within tertiary lymphoid structures. Furthermore, MintFlow enabled in silico perturbations of disease-relevant cell states and tissue environments. Regulatory T cell modulation in atopic dermatitis was predicted to suppress the pro-inflammatory tissue environment, supporting manipulation of these cells as a therapeutic target. In kidney cancer, in silico T cell replacement recapitulated immune checkpoint blockade, while spatially targeted macrophage depletion reverted immunosuppressed T cell states. The corresponding gene programs correlated with survival in large kidney cancer patient cohorts. Together, these findings position MintFlow as a tool for unbiased disease mechanism prediction and in silico perturbation, accelerating translational hypothesis generation and guiding therapeutic strategies.

genomics↗

bioRxiv2025

Small tau aggregates exhibit disease-specific molecular profiles across tauopathies

Tauopathies are neurodegenerative diseases marked by pathological tau aggregation. While disease-specific folds of insoluble tau filaments have been established, it remains unclear whether the smaller, earlier species also differ across tauopathies. Here, we characterise these small tau aggregates from post-mortem brain of individuals with Alzheimers disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration, Picks disease, and healthy controls. Using two complementary single-molecule assays, we confirm that small tau aggregates vary in abundance, morphology, and post-translational modifications. AD features specific long, fibrillar-shaped aggregates enriched in phospho-epitopes, while PSP aggregates are shorter, round, and selectively phosphorylated at serine-356, a site we identify as correlating with markers of inflammation and apoptosis. Aggregate properties co-vary with cellular stress signatures and align with disease-specific seeding profiles, suggesting distinct pathological mechanisms. These findings suggest that small tau aggregates are not a shared intermediate, but instead encode disease-specific mechanisms, with potential as both biomarkers and therapeutic targets. Key pointsSmall tau aggregates show disease-specific signatures across tauopathies, differing in abundance, morphology, and post-translational modifications. Tau aggregates in AD show enhanced phosphorylation density and structural heterogeneity, including a distinct population of long fibrillar species detectable in the soluble fraction. Alzheimers disease is characterised by specific long, fibrillar-shaped tau aggregates enriched in disease-relevant phospho-epitopes. PSP features round pSer356-positive aggregates that correlate with apoptotic and inflammatory markers, suggesting a distinct mechanism of toxicity. Isoform-specific biosensor assays reveal divergent seeding behaviour: CBD shows strong 4R seeding, while PSP lacks seeding activity. Features of small aggregates co-vary with distinct patterns of gliosis and cell stress, suggesting disease-specific mechanisms of tau-mediated toxicity.

neuroscience↗

bioRxiv2025

scExploreR: a flexible platform for democratized analysis of multimodal single-cell data by non-programmers

Single-cell sequencing has revolutionized biomedical research by uncovering cellular heterogeneity in disease mechanisms, with significant potential for advancing personalized medicine. However, participation in single-cell data analysis is limited by the programming experience required to access data. Several existing browsers allow the interrogation of single-cell data through a point-and-click interface accessible to non-programmers, but many of these browsers are limited in the depth of analysis that can be performed, or the flexibility of input data formats accepted. Thus, programming experience is still required for comprehensive data analysis. We developed scExploreR to address these limitations and extend the range of analysis tasks that can be performed by non-programmers. scExploreR is implemented as a packaged R Shiny app that can be run locally or easily deployed for multiple users on a server. scExploreR offers extensive customization options for plots, allowing users to generate publication quality figures. Leveraging our SCUBA package, scExploreR seamlessly handles multimodal data, providing identical plotting capabilities regardless of input format. By empowering researchers to directly explore and analyze single-cell data, scExploreR bridges communication gaps between biological and computational scientists, streamlining insight generation.

bioinformatics↗

bioRxiv2025

OGDHL regulates nucleotide metabolism, tumor growth, and neuroendocrine marker expression in prostate cancer

As cancer cells evade therapeutic pressure and adopt alternate lineage identities not commonly observed in the tissue of origin, they likely adopt alternate metabolic programs to support their evolving demands. Targeting these alternative metabolic programs in distinct molecular subtypes of aggressive prostate cancer may lead to new therapeutic approaches to combat treatment-resistance. We identify the poorly studied metabolic enzyme Oxoglutarate Dehydrogenase-Like (OGDHL), named for its structural similarity to the tricarboxylic acid (TCA) cycle enzyme Oxoglutarate Dehydrogenase (OGDH), as an unexpected regulator of tumor growth, treatment-induced lineage plasticity, and DNA Damage in prostate cancer. While OGDHL has been described as a tumor-suppressor in various cancers, we find that its loss impairs prostate cancer cell proliferation and tumor formation. Loss of OGDHL profoundly alters Androgen Receptor inhibition-induced plasticity, including suppressing the neuroendocrine markers DLL3 and HES6, induces accumulation of the DNA damage response marker {gamma}H2AX, and reduces nucleotide synthesis. Our data suggest that OGDHL has minimal impact on TCA cycle activity, and that mitochondrial localization is not required for its regulation of prostate cancer plasticity and nucleotide metabolism. Finally, we demonstrate that OGDHL expression is tightly correlated with neuroendocrine differentiation in clinical prostate cancer. These findings underscore the importance of investigating poorly characterized metabolic genes as potential regulators of distinct molecular subtypes of aggressive cancer.

cancer biology↗

bioRxiv2025

Reducing Manual Labour in Forensic Microtrace Recognition with Deep Learning

Forensic microtrace investigation relies on time- and labor-intensive microscopic analyses. To aid forensic experts in their investigations, an image recognition model for microtrace localisation and classification is needed. In this work, we use deep learning to automate trace recognition in images captured with automated microscopy. We localise and classify fibres, hairs, skin, glass and sand in microscopy scans through pixel-wise classification of tape-lift samples. As deep learning requires extensive amounts of annotated training data, we additionally investigate various pretraining strategies to minimise the required annotation workload. We compare ImageNet pretraining, pretraining with self-supervised learning and a sequential application of these approaches. We find that pretrained models are able to reduce the required annotated data twofold compared to models trained from scratch while retaining the prediction accuracy. While our ImageNet-pretrained models outperform our self-supervised-pretrained models, we achieve the highest accuracy by combining the two approaches, resulting in a factor of 4 reduction of manual annotated microtraces or a 65 % improvement in recognition and localisation accuracy (mean intersection over union increases from 0.34 to 0.56 due to pretraining) when training on only 2.2 dm2 of annotated tape lift scans. Our model is, therefore, the method of choice for the automatic analysis of large forensic microtrace scans.

bioinformatics↗

bioRxiv2025

Condensin Accelerates Long-Range Intra-Chromosomal Interactions

The 3D genome organization plays a key role in regulating interactions among chromosomal loci. While Chromosome Conformation Capture (3C)-based methods have provided static snapshots of chromatin architecture, the kinetics of chromosomal encounters in live cells remain poorly characterized. In this study, we employ Chemically Induced Chromosomal Interaction (CICI) to measure encounter times between multiple loci pairs in G1-arrested budding yeast. Our results show that chromosome motion closely follows the Rouse polymer model, with similar diffusion parameters at all tested loci. Surprisingly, we find that long-range intra-chromosomal encounters occur significantly faster than inter-chromosomal encounters at similar 3D distances. Using targeted depletion experiments, we identify condensin, but not cohesin, as the complex responsible for these rapid intra-chromosomal interactions. This is further supported by Hi-C analysis, which reveals that condensin promotes long-distance intra-chromosomal interactions in G1 yeast. Through polymer simulations, we estimate that condensin extrudes chromatin at [~]2 kb/s with a density of one complex per 1-2 Mb and a processivity of 120-220 kb. These findings uncover a novel role for condensin in shaping the interphase genome organization and provide new insights into chromosomal search dynamics in vivo.

molecular biology↗

bioRxiv2025

Comparative phenotypic, genomic and transcriptomic characterisation of two Salmonella Typhimurium strains for a first-in-human challenge model

BackgroundInvasive non-typhoidal Salmonella (iNTS) disease remains a major public health challenge in sub-Saharan Africa. Salmonella Typhimurium is responsible for the majority of cases, with specific lineages being associated with increased risk of bloodstream infection. We have recently developed a Salmonella Typhimurium controlled human infection model (CHIM) to better understand disease pathogenesis and to provide a platform to test candidate vaccines. Selecting appropriate challenge strainsis a central design consideration in developing challenge model protocols. We describe the rationale, manufacture, and detailed characterisation of the two Salmonella Typhimurium strains used in the first-in-human NTS CHIM. MethodsTwo Salmonella Typhimurium strains, 4/74 (ST19) and D23580 (ST313), were selected from the UK Health Security Agency National Collection of Type Cultures and manufactured under Good Manufacturing Practice (GMP) conditions. Challenge agent stocks underwent microbial limits testing, viability and stability assessments, and phenotypic characterisation including growth kinetics, motility, acid sensitivity, and antibiotic susceptibility. Whole-genome sequencing was performed to confirm genetic stability post-manufacture. The effect of pre-challenge handling conditions was assessed in saline and sodium bicarbonate buffers, and bacterial survival was evaluated under simulated gastric and intestinal conditions using a modified Rossett-Rice model. Transcriptomic profiling was undertaken to determine whether sodium bicarbonate exposure altered expression of key virulence genes. ResultsBoth strains retained their expected phenotypic characteristics, including reduced motility and melibiose utilisation in D23580. GMP stocks remained pure, viable, and stable post-manufacture, with no unexpected genomic mutations detected. Both strains were susceptible to clinically relevant antibiotics used in the study. Survival was maintained in neutral and mildly acidic conditions, with significant reduction below pH 3.5. Stability was preserved for up to one hour in saline buffer and during simulated gastric transit in the Rossett-Rice model. Transcriptomic analysis showed no significant changes in Salmonella pathogenicity island-1 or 2, or flagellar gene expression following sodium bicarbonate exposure ConclusionsThese findings confirm that the Salmonella Typhimurium 4/74 and D23580 strains retained genomic and phenotypic integrity post-manufacture. The resulting challenge stocks provide the foundation for an ongoing NTS CHIM that aims to advance understanding of NTS and iNTS pathogenesis and support candidate vaccine testing.

microbiology↗