Biology subjects

Hart, D. J.

Publications and source records attributed to Hart, D. J..

8 recordsLinked to original sources

bioRxiv2026

mock-fastq-generator: A synthetic FASTQ generator

Validating bioinformatics pipelines and benchmarking sequence processing algorithms requires reliable test datasets. Existing read simulation tools rely on reference genomes and empirical error profiles, lacking fine-grained control over specific targeted DNA constructs and controlled error injection. mock-fastq-generator is an open-source software suite available both as an installable PyPI Python package and a standalone, client-side web application. It constructs synthetic FASTQ files by combining template constructs with customizable adapter sequences, selectable quality decay functions (Gaussian, Exponential, Sigmoidal), NovaSeq 3-state quality binning, and context-dependent error penalties. The software allows developers to benchmark sequence trimmers, test alignment sensitivity, and execute automated quality control pipelines in test suites without using proprietary or empirical biological data.

bioinformatics↗

bioRxiv2026

Affinity-enhanced peptides delivered by mRNA lipid nanoparticles inhibit influenza A virus replication by disrupting PA-PB1 interaction

Seasonal influenza causes up to 650,000 deaths annually and remains a persistent pandemic threat due to zoonotic strains crossing the species barrier. Current antivirals, which target neuraminidase or the viral polymerase, have limited efficacy and rapidly select for resistant variants, highlighting the urgent need for new therapeutic strategies. The heterotrimeric influenza polymerase (FluPol), comprising PA, PB1, and PB2 subunits, is essential for viral replication and harbors virus-specific protein-protein interfaces that are potential drug targets. We focused on the highly conserved PA-PB1 interface, where the N-terminal peptide of PB1 binds the PA C-terminal domain with high affinity. Disrupting this interaction abrogates polymerase function, halting viral replication. Using phage display, we identified PB1-derived peptides with enhanced affinity for PA and characterized their binding via biophysical methods and X-ray crystallography. Lead peptides efficiently disrupted the PB1-PA interaction and inhibited polymerase activity in cell-based assays. To address peptide delivery challenges, we expressed these inhibitors intracellularly from synthetic mRNA formulated in lipid nanoparticles, achieving robust inhibition of viral replication in cultured cells. This work establishes intracellularly expressed peptide inhibitors as a viable antiviral strategy and provides a generalizable framework for targeting essential protein-protein interactions of influenza and other RNA viruses.

microbiology↗

bioRxiv2026

Antibiotics promote susceptibility to C. difficile infection through a CCR5-dependent immune response

Antibiotics (ABXs) represent the current standard of care for treating Clostridioides difficile infection (CDI). Paradoxically, ABX-induced dysbiosis is the primary risk factor for CDI, as disruption of the colonic microbial ecosystem creates an opportunity for C. difficile colonization. Given that ABXs can also alter immune responses, we investigated whether ABXs prime the colonic immune milieu for CDI susceptibility. Here, we implicate ABXs in driving CDI severity through the emergence of pathogenic CCR5-reliant immune populations in the mouse colon. High-throughput immune cell profiling revealed that ABXs shift the colonic immune compartment toward a CCR5-associated type I immunity signature, marked by an expansion of CCR5+ ILC1s and CCR5+ Th1 cells. A partial genetic deletion of CCR5 reversed CDI severity, alleviating colonic inflammation and improving survival. Pharmacological inhibition of the CCL3/4/5-CCR5 circuit also recapitulated these favorable disease outcomes, which we attribute to reduced colonic CCR5+ ILC1, CCR5+ Th1, and CCR5+ CD8 T cell populations during CDI. Together, our findings extend beyond dysbiosis as the canonical CDI risk factor and establish ABX-induced immune imbalance as an underappreciated determinant of CDI susceptibility.

immunology↗

bioRxiv2026

Calculation of sequence space coverage in a mutagenesis library

Directed evolution requires screening of large mutagenesis libraries, but accurate calculation of library sizes needed to discover functional variants remains challenging. Existing models provide baseline estimates, yet current computational approaches for finding the best variants scale poorly with library complexity. Here, we introduce a scalable algorithmic framework to compute exact discovery probabilities in saturation mutagenesis libraries with no requirement for explicit sequence enumeration. By aggregating variants into a composition log-sum distribution and applying log-space convolution across randomisation blocks, it is possible to extend this to massive sequence spaces and mixed codon schemes. By inverting these calculations, absolute mathematical ceilings for experimental design are established. Ultimately, this framework provides a rapid, quantitative tool to balance the statistical coverage-diversity trade-off within the limitations of laboratory screening. Finally, this is implemented as an open-source web application (SSCC) that allows researchers to construct heterogeneous library designs and compute required sampling depths, coverage probabilities, and absolute randomisation limits.

bioinformatics↗

bioRxiv2025

Exploring C1 substrate cofeeding in Eubacterium limosum with AneVO, a low-cost anaerobic parallel bioreactor platform

Acetogenic bacteria have emerged as attractive biocatalysts for renewable biochemical production, using the highly efficient Wood-Ljungdahl pathway to convert a range of sustainable single-carbon (C1) feedstocks. The major challenge is their energy-constrained anaerobic lifestyle, which results in slow growth and limits the product spectrum. To overcome this limitation, here we investigate substrate co-metabolism in the acetogen Eubacterium limosum, cofeeding either carbon monoxide (CO) or glucose alongside the primary C1 substrate (methanol or formate). To increase experimental throughput, we developed AneVO, a parallel mini bioreactor system based on eVOLVER that enables benchtop anaerobic batch and fed-batch cultivation, along with continuous delivery of anaerobic gas blends. With all substrate pairs tested, E. limosum grew faster and reached 52-254% higher cell densities with cofeeding, while maintaining or improving the volumetric uptake rate of the main C1 substrate. Product formation also improved, with an increase in volumetric acetate productivity from glucose cofeeding of 2.2-fold with formate and 2.4-fold with methanol, and 3-fold from CO cofeeding with methanol. Together these results validate AneVO as a low-cost platform for convenient benchtop cultivation of strict anaerobic microbes in multiple growth modes, and present a strategy for enhancing C1 bioconversion rates in E. limosum, an emerging model acetogen.

microbiology↗

bioRxiv2021

Pan-cancer organoid validation of tumor outlier chromosomal amplification events

Somatic copy number gains are pervasive in many cancer types, yet their roles in oncogenesis are often poorly explored. This lack of understanding is in part due to broad extensions of copy gains across cancer genomes spanning large chromosomal regions, obscuring causal driver loci. Here we employed a multi-tissue pan-organoid modeling approach to validate candidate oncogenic loci identified within pan-cancer TCGA data by the overlap of extreme copy number amplifications with extreme expression dysregulation for each gene. The candidate outlier loci nominated by this integrative computational analysis were functionally validated by infecting cancer type-specific barcoded full length cDNA lentiviral libraries into cognate minimally transformed human and mouse organoids bearing initial oncogenic mutations from esophagus, oral cavity, colon, stomach, pancreas and lung. Presumptive amplification oncogenes were identified by barcode enrichment as a proxy for increased proliferation. Iterative analysis validated DYRK2 at 12q15, encoding a serine-threonine kinase, as an amplified head and neck squamous carcinoma oncogene in p53-/- oral mucosal organoids. Similarly, FGF3, amplified at 11q13 in 41% of esophageal squamous carcinomas, was validated in p53-/- esophageal organoids in vitro and in vivo with pharmacologic inhibition by small molecule and soluble receptor FGFR antagonists. Our studies establish the feasibility of pan-organoid contextual modeling of pan-cancer candidate genomic drivers, enabling oncogene discovery and preclinical therapeutic modeling.

cancer biology↗

bioRxiv2020

Progenitor identification and SARS-CoV-2 infection in long-term human distal lung organoid cultures

The distal lung contains terminal bronchioles and alveoli that facilitate gas exchange and is affected by disorders including interstitial lung disease, cancer, and SARS-CoV-2-associated COVID-19 pneumonia. Investigations of these localized pathologies have been hindered by a lack of 3D in vitro human distal lung culture systems. Further, human distal lung stem cell identification has been impaired by quiescence, anatomic divergence from mouse and lack of lineage tracing and clonogenic culture. Here, we developed robust feeder-free, chemically-defined culture of distal human lung progenitors as organoids derived clonally from single adult human alveolar epithelial type II (AT2) or KRT5+ basal cells. AT2 organoids exhibited AT1 transdifferentiation potential, while basal cell organoids progressively developed lumens lined by differentiated club and ciliated cells. Organoids consisting solely of club cells were not observed. Upon single cell RNA-sequencing (scRNA-seq), alveolar organoids were composed of proliferative AT2 cells; however, basal organoid KRT5+ cells contained a distinct ITGA6+ITGB4+ mitotic population whose proliferation segregated to a TNFRSF12Ahi subfraction. Clonogenic organoid growth was markedly enriched within the TNFRSF12Ahi subset of FACS-purified ITGA6+ITGB4+ basal cells from human lung or derivative organoids. In vivo, TNFRSF12A+ cells comprised ~10% of KRT5+ basal cells and resided in clusters within terminal bronchioles. To model COVID-19 distal lung disease, we everted the polarity of basal and alveolar organoids to rapidly relocate differentiated club and ciliated cells from the organoid lumen to the exterior surface, thus displaying the SARS-CoV-2 receptor ACE2 on the outwardly-facing apical aspect. Accordingly, basal and AT2 "apical-out" organoids were infected by SARS-CoV-2, identifying club cells as a novel target population. This long-term, feeder-free organoid culture of human distal lung alveolar and basal stem cells, coupled with single cell analysis, identifies unsuspected basal cell functional heterogeneity and exemplifies progenitor identification within a slowly proliferating human tissue. Further, our studies establish a facile in vitro organoid model for human distal lung infectious diseases including COVID-19-associated pneumonia.

cell biology↗

bioRxiv2020

Molecular Basis of Host-Adaptation Interactions between Influenza Virus Polymerase PB2 Subunit and ANP32A

Avian influenza polymerase undergoes host adaptation in order to efficiently replicate in human cells. Adaptive mutants are localised on the C-terminal (627-NLS) domains of the PB2 subunit. In particular mutation of PB2 residue 627 from E to K in avian polymerase rescues activity in mammalian cells. A host transcription regulator ANP32A, comprising a long C-terminal intrinsically disordered domain (IDD), has also been shown to be responsible for this viral adaptation. Human ANP32A IDD lacks a 33 residue insertion compared to avian ANP32A, a deletion that restricts avian influenza polymerase activity in mammalian cells. We determined conformational descriptions of the highly dynamic complexes between 627E and 627K forms of the 627-NLS domains of PB2 and avian and human ANP32A. The negatively charged intrinsically disordered domain of human ANP32A transiently binds to a basic face of the 627 domain, exploiting multiple binding sites to maximize affinity for 627-NLS. This interaction also implicates residues 590 and 591 that are responsible for human-adaptation of the the 2009 pandemic influenza polymerase. The presence of 627E interrupts the polyvalency of the interaction, an effect that is compensated by extending the interaction surface and exploiting an avian-unique motif in the unfolded domain that interacts with the 627-NLS linker. In both cases the interaction favours the open, dislocated form of the 627-NLS domains. Importantly the two binding modes exploited by human- and avian-adapted PB2 are strongly abrogated in the cross interaction between avian polymerase and human ANP32A, suggesting that this molecular specificity may be related to species adaptation. The observed binding mode is maintained in the context of heterotrimeric influenza polymerase, placing ANP32A in the immediate vicinity of known host-adaptive PB2 mutants. This study provides a molecular framework for understanding the species-specific restriction of influenza polymerase by ANP32A and will inform the identification of new targets for influenza inhibition.

biophysics↗