Biology subjects

Reilly, E.

Publications and source records attributed to Reilly, E..

11 recordsLinked to original sources

bioRxiv2026

Live attenuated YFV-17D vaccine induces robust B and T cell immunity in vaccine-draining lymph nodes

The yellow fever virus-17D (YFV-17D) vaccine is widely regarded as one of the most effective vaccines in existence, with protection linked to robust elicitation of neutralising antibodies1. The features of the germinal centre (GC) reaction driving this durable and potent antibody responses remain unclear. Here we examined immune dynamics in blood and lymph nodes (LNs) after primary YFV-17D immunisation in humans. Using fine needle biopsy (FNB), we identified robust T and B lymphocyte responses within draining LNs, underpinning maturation of antibodies targeting the viral envelope (E). Early antibody responses were largely IgM, with gradual accumulation of E-specific memory B cells and anti-viral IgG in the subsequent months. Monoclonal antibodies derived from GC B cells had specificity for E, with diversification in the LN capable of driving increases in binding and neutralising potency. While circulating vaccine-specific CD4+ T cells peaked two weeks post-vaccination, clonally related GC and IL-10+ T follicular helper populations progressively accumulated in the LN. Comparison of FNB transcriptional datasets following YFV-17D, SARS-CoV-2 mRNA/LNP, and seasonal influenza vaccination identified a conserved GC program involving similar B and T lymphocyte subpopulations. Collectively, we find that while YFV-17D induces robust GC activity, this trait is shared with other vaccine platforms and the notably durable protection against infection may reflect an incapacity of the virus to escape host immunity.

immunology↗

bioRxiv2026

Multilayer analysis reveals extensive hidden population complexity in a dairy starter microbiome comprising few species

The genomic and epigenomic complexity of microbiomes with low species richness remains poorly characterized. Here, we integrated 111 non-redundant isolate genomes with deep long-read metagenomics to investigate an undefined mesophilic dairy starter. Closely related isolates harboured distinct combinations of features associated with fermentation traits and phage defence, including surface polysaccharide genotypes, plasmids, prophages, defence systems, and methylation profiles. Metagenomics revealed additional elements and inferred host associations. However, the limited overlap between approaches across core-genome lineages and accessory repertoires underscored complementary but incomplete recovery, to the extent that the dominant metagenomic cell wall polysaccharide genotype (29.6% abundance) was absent from isolates. Metagenomic methylation signatures supported 36 species-level plasmid-host assignments, corroborated by isolate genomes in nine of ten testable cases. Our findings revealed extensive combinatorial diversity hidden from either approach alone, providing a plausible molecular basis for phage resilience, while likely representing only a lower bound on population complexity.

microbiology↗

bioRxiv2026

Epistasis facilitates the long-term antigenic evolution of the influenza B virus hemagglutinin

The antigenic drift of viral glycoproteins must be balanced by purifying selection pressure to maintain functionality. Understanding these evolutionary processes is key to predicting and combating viral evolution but is primarily based on influenza A(H3N2), which may limit generalisability. By characterising the influenza B virus haemagglutinin (HA) over 8 decades of circulation in humans, we found continuous genetic diversification, punctuated with antigenic changes that did not follow a linear path in antigenic space. Antigenic change is primarily underpinned by re-occurring mutations and deletions at positions 136, 150, 162-165, 197 and 203. These residues form complex epistatic networks that modulate the antigenic impact of mutation recycling. They also generate permissive backbones on which immune escape can emerge with limited replicative fitness cost. Our study identifies critical similarities and differences with A(H3N2) evolution and demonstrates the role of epistasis in balancing antigenic novelty with viral fitness. Our findings and genetic, antigenic and phenotypic datasets support the development of genotype-to-phenotype prediction tools, but such predictions need to capture the complex outcomes of epistasis.

microbiology↗

bioRxiv2026

Isolation of postnatal human neural stem cells

While it was once thought that neurogenesis is complete by birth, it is now apparent that the human brain continues to generate new neurons postnatally, at least into childhood. While much attention has been focused on postnatally-born neurons, their presumed progenitor - the postnatal neural stem cell (NSC) - remains poorly characterized. Using index sorting, we identify and prospectively isolate two subsets of NSCs from the postnatal human brain, and describe their differentiation dynamics using clonal barcoding and in vivo xenotransplantation. We demonstrate an A2B5+EGFR+ population biased towards interneuron and oligodendrocyte fates (NINO), and an A2B5-EGFRhi population biased towards an astrocyte fate (NAC). Profiling of human brains across lifespan shows that the frequency of NSCs declined exponentially across the first two decades of life, but stabilized thereafter, still present in the brains of donors as old as 90 years. Our study provides a framework for the functional study of postnatal human NSCs and their potential roles in development, aging, and disease.

neuroscience↗

bioRxiv2026

Somatic mutations reveal the ontogeny of human microglia

Microglia are the resident hematopoietic cells of the central nervous system1. In mice, microglia seed the brain during embryogenesis and can be maintained throughout life with minimal input from adult hematopoiesis2-4. The origins of human microglia are less clear, but recent evidence suggests that marrow-derived cells may be able to supplement the human microglial pool in certain individuals5,6. Here, to investigate the ontogeny of human microglia, we develop a method that uses the collection of accumulated somatic mutations which uniquely labels each clone of cells to track the infiltration of marrow-derived cells into the human brain. Applying this method to 20 aged individuals, we find evidence of an influx of marrow-derived cells into the brain in all examined individuals. Single cell analysis, including single cell lineage tracing using mitochondrial DNA variants, demonstrates that these infiltrating cells are nearly identical to microglia and can comprise a large fraction of the microglial pool. Analysis of large-scale sequencing cohorts demonstrates a protective association between most types of clonal hematopoiesis and Alzheimers disease. In sum, this work uncovers a widespread influx of myeloid cells into the healthy human brain which serves to reinforce the pool of human microglia and becomes common with aging.

immunology↗

bioRxiv2026

Pre-existing systemic and nasal antibodies against avian H5 influenza A viruses vary according to childhood imprinting

Avian influenza A viruses (IAV) pose a constant pandemic threat, with the recent 2.3.4.4b clade of the H5 subtype causing high pathogenicity and spreading across animal species and geographic locations. Understanding human pre-existing immunity to avian H5 IAV can inform on population susceptibility, a critical aspect of pandemic preparedness. To that end, we analysed the IAV HA-specific antibodies across individuals born between 1928-1999 with different early life exposures to IAV subtypes. Individuals born prior to 1957 had the highest pre-existing serum antibodies to group 1 HA antigens, including the 2.3.4.4b H5 and a group 1 HA stem antigen. These birth-year-specific patterns were not reflected in the limited pre-existing serum neutralising antibodies detectable against a 2.3.4.4b H5 IAV or in H5-specific memory B cell populations. They were however evident in pre-existing nasal IgG and IgA titres to H5, which were greater in individuals born prior to 1957. Our findings demonstrate that the immunological biases afforded by early life exposure extend to antibodies detected in the nasal mucosa, the site of IAV replication. ImportanceUnderstating pre-existing immunity to influenza A viruses of pandemic potential is an important aspect of pandemic preparedness. This includes an understanding the heterogeneity of pre-existing immunity across the population. Here, we demonstrate that pre-existing antibodies to H5 IAV vary according to year of birth and childhood imprinting. We demonstrate that this is the case for both systemic and nasal antibodies, highlighting the importance of understanding pre-existing mucosal immunity at the sites of influenza virus replication.

immunology↗

bioRxiv2025

Local graph-motif features improve gene interaction network prediction

Gene interaction networks specify how genes interact to produce an organisms phenotype. These networks are often incomplete due to absent or unobserved information. Predicting these missing links is critical for many applications, including genome-wide association studies and phenotype prediction. Efforts have previously applied graph neural networks (GNNs) to this missing-link prediction problem, but these techniques too have limitations when the sparsity of the networks is very high. Here, we apply a novel feature engineering technique that uses local graph motif incidence to enhance the feature set for variational graph autoencoders (VGAE). We compare the performance of our technique against state-of-the-art approaches, and then progressively hide more and more of the original graph edges. Our results show that VGAEs with our local-area motif prevalence (LAMP) features outperform state-of-the-art node embeddings for a wide range of missing edges on both a benchmark and a biological dataset. We also observe that this combined VGAE and LAMP technique has the potential to facilitate the search for novel genetic interactions in an experimental adaptive sampling context with far fewer samples. Improvements to gene interaction imputation can lower the barrier to new pharmaceutical and epidemiological discoveries by revealing hidden gene interactions that steer the development of potential drug targets.

bioinformatics↗

bioRxiv2021

Transposon Extermination Reveals Their Adaptive Fitness Contribution

Transposable Elements are molecular parasites that persist in their host genome by generating new copies to outpace natural selection. Here we measure the parameters governing the copy number dynamics of the fission yeast Tf2 retrotransposons, using experimental and natural populations and a strain where all Tf2 copies are removed. Natural population genomes display active and persistent Tf2 colonies, but in the absence of selection mitotic recombination deletes Tf2 elements at rates that far exceed transposition. We show that Tf2 elements provide a fitness contribution to their host by dynamically rewiring the transcriptional response to metabolic stress. Therefore, Tf2 elements exhibit a mutualistic rather than parasitic behavior toward their host.

genomics↗

bioRxiv2020

Transcriptional subtype-specific microenvironmental crosstalk and tumor cell plasticity in metastatic pancreatic cancer

Bulk transcriptomic studies have defined classical and basal-like gene expression subtypes in pancreatic ductal adenocarcinoma (PDAC) that correlate with survival and response to chemotherapy; however, the underlying mechanisms that govern these subtypes and their heterogeneity remain elusive. Here, we performed single-cell RNA-sequencing of 23 metastatic PDAC needle biopsies and matched organoid models to understand how tumor cell-intrinsic features and extrinsic factors in the tumor microenvironment (TME) shape PDAC cancer cell phenotypes. We identify a novel cancer cell state that co-expresses basal-like and classical signatures, demonstrates upregulation of developmental and KRAS-driven gene expression programs, and represents a transitional intermediate between the basal-like and classical poles. Further, we observe structure to the metastatic TME supporting a model whereby reciprocal intercellular signaling shapes the local microenvironment and influences cancer cell transcriptional subtypes. In organoid culture, we find that transcriptional phenotypes are plastic and strongly skew toward the classical expression state, irrespective of genotype. Moreover, we show that patient-relevant transcriptional heterogeneity can be rescued by supplementing organoid media with factors found in the TME in a subtype-specific manner. Collectively, our study demonstrates that distinct microenvironmental signals are critical regulators of clinically relevant PDAC transcriptional states and their plasticity, identifies the necessity for considering the TME in cancer modeling efforts, and provides a generalizable approach for delineating the cell-intrinsic versus -extrinsic factors that govern tumor cell phenotypes.

cancer biology↗

bioRxiv2020

Temporal dynamics of visual representations in the infant brain

Tools from computational neuroscience have facilitated the investigation of the neural correlates of mental representations. However, access to the representational content of neural activations early in life has remained limited. We asked whether patterns of neural activity elicited by complex visual stimuli (animals, human body) could be decoded from EEG data gathered from 12-15-month-old infants and adult controls. We assessed pairwise classification accuracy at each time-point after stimulus onset, for individual infants and adults. Classification accuracies rose above chance in both groups, within 500 ms. In contrast to adults, neural representations in infants were not linearly separable across visual domains. Representations were similar within, but not across, age groups. These findings suggest a developmental reorganization of visual representations between the second year of life and adulthood and provide a promising proof-of-concept for the feasibility of decoding EEG data within-subject to assess how the infant brain dynamically represents visual objects.

neuroscience↗

bioRxiv2019

Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets

Emerging neuroimaging datasets (collected through modalities such as Electron Microscopy, Calcium Imaging, or X-ray Microtomography) describe the location and properties of neurons and their connections at unprecedented scale, promising new ways of understanding the brain. These modern imaging techniques used to interrogate the brain can quickly accumulate gigabytes to petabytes of structural brain imaging data. Unfortunately, many neuroscience laboratories lack the computational expertise or resources to work with datasets of this size: computer vision tools are often not portable or scalable, and there is considerable difficulty in reproducing results or extending methods. We developed an ecosystem of neuroimaging data analysis pipelines that utilize open source algorithms to create standardized modules and end-to-end optimized approaches. As exemplars we apply our tools to estimate synapse-level connectomes from electron microscopy data and cell distributions from X-ray microtomography data. To facilitate scientific discovery, we propose a generalized processing framework, that connects and extends existing open-source projects to provide large-scale data storage, reproducible algorithms, and workflow execution engines. Our accessible methods and pipelines demonstrate that approaches across multiple neuroimaging experiments can be standardized and applied to diverse datasets. The techniques developed are demonstrated on neuroimaging datasets, but may be applied to similar problems in other domains.

neuroscience↗