Biology subjects

Hill, E. M.

Publications and source records attributed to Hill, E. M..

16 recordsLinked to original sources

bioRxiv2026

A spatial transmission model for evaluating interventions during highly pathogenic avian influenza outbreaks

During infectious disease outbreaks, epidemiological models can be used to project future outbreak dynamics and to explore scenarios under different control measures. Here, we present the spatially explicit avian influenza transmission model that we developed during the 2026 WiLiMan-ID consortium Highly Pathogenic Avian Influenza Modelling Challenge, which involved evaluating control measures (preventive and reactive culling, confinement and restocking bans) during a hypothetical avian influenza outbreak. We show that the control measures that were expected to reduce transmission effectively varied between different outbreak stages. For example, policy-makers could choose whether to focus culling efforts on: i) faster reactive culling and no preventive culling; or ii) slower reactive culling and preventive culling. Relatively early in the outbreak, when the number of available culling teams was limited, our results indicate that the two culling strategies were projected to lead to similar numbers of premises with notified infections over the following 28 days. Later in the outbreak, with more culling teams available, the second strategy was projected to lead to substantially fewer notified premises than the first strategy. In addition, we demonstrate that whether a strategy is beneficial or detrimental depends on policy-makers' objectives. For example, preventive culling may reduce transmission, but at the cost of culling poultry on premises without infections, illustrating a trade-off between limiting transmission and the cost of interventions. Our results highlight the importance of choosing policy objectives carefully and reassessing interventions at different outbreak stages to ensure that control policies remain appropriate for the current epidemiological situation.

ecology↗

bioRxiv2026

The active secretion of a subunit of IL-12 by tissue cells is regulated by Valosin-Containing Protein and intracellular calcium redistribution.

One molecular mechanism for collaboration between innate immune and tissue stromal cells in regulating effector responses is the formation of the innate cytokine IL-12 as a result of the two cell types contributing distinct subunits (p40 and p35) allowing for the localized assembly of the functional IL-12 heterodimer. Dendritic cell activation leads to p40 secretion, but the pathways in stromal cells allowing p35 secretion are unknown. We identify the inhibition of Valosin-Containing Protein (VCP) and increases in intracellular calcium signaling as the key regulators for the secretion of p35 from its homeostatic reservoirs in the endoplasmic reticulum. This p35 secretion, in the absence of co-expression of the p40 subunit, requires active gene expression, is independent of ER stress pathways, and is distinct from passive (cell-death dependent) release processes. Thus, an active sensory apparatus in non-hematopoietic cells contributes to the collaborative control of the trajectory of early immune differentiation. One Sentence SummaryVCP inhibition and calcium flux allows stromal cells to release the p35 subunit of the cytokine IL-12 and regulate localized cytokine activity.

immunology↗

bioRxiv2025

Moderated designs can balance between batch-effect mitigation and cell loss due to hashtag-assisted pooling in single-cell experiments

Minimizing experimental noise is integral to robust data generation in single-cell science. Experimental processing of different samples as a single pool, made possible by hashtag-assisted pooling, helps minimize batch-effects, but the computational demultiplexing of the data can also lead to loss of cells whose hashtags cannot be resolved accurately. Here, we examine four alternate experimental designs that could be used instead of a single-pool approach and quantify the batch effects as well as cell loss in each case. While a reference design offers the best performance, this study can help individual investigators choose one suited for their biological questions.

bioinformatics↗

bioRxiv2025

B. pertussis tracheal cytotoxin biases NOD signaling to suppress IL-1 mediated inflammation and evade adaptive immunity

Bordetella pertussis releases the monomeric peptidoglycan (PGN) fragment tracheal cytotoxin (TCT) due to inefficient recycling by the permease AmpG. Releasing this PGN is metabolically costly and potentially immune alarming and the benefits to B. pertussis are unclear. While TCT has been characterized as a potent NOD1 agonist capable of causing the extrusion of ciliated cells, in vitro, the consequences of its release have yet to be studied in vivo. Here we show that selective PGN release by B. pertussis biases host PGN sensing toward NOD1 and away from NOD2, suppressing IL-1{beta}-driven inflammation and blunting adaptive immune recruitment. Mice infected with a TCT over-releasing strain (TCT(+)) exhibit reduced pulmonary immunopathology relative to wild type (WT) and a TCT-under-releasing strain (TCT(-)), despite similar bacterial burdens. NOD reporter assays demonstrate that TCT release enhances NOD1 activation and inversely correlates with NOD2 activation. Bulk transcriptomic analysis of infected lungs shows that B. pertussis PGN release dampens pro-inflammatory transcriptional programs. Single-cell transcriptomic determined Nod2 expression is limited to inflammatory myeloid subsets. IL-1 family genes were highly enriched in Nod2- but not Nod1 expressing alveolar macrophages. Upstream regulator analysis predicted IL-1{beta} as a major driver of B. pertussis inflammation, which was enhanced by the absence of PGN release. Flow cytometry shows that PGN release skews macrophages polarization toward M2 and away from M1 in a NOD1 dependent manner. Finally, extracellular release of PGN and subsequent reduced IL-1 production facilitated the suppression fibroblast chemokine programs (e.g., CXCL13, CCL19), diminished recruitment of B and T cells, reduced iBALT formation, and limited immune memory development. Conversely, IL-1R1 deficiency impairs adaptive recruitment and bacterial clearance despite similar innate infiltration. Together, these data suggest PGN release by B. pertussis is an immune-evasion strategy, favoring NOD1 activation over NOD2, reducing IL-1-dependent fibroblast reprogramming, and curtailing chemokine-driven adaptive responses. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/669383v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@ada335org.highwire.dtl.DTLVardef@1b61a0eorg.highwire.dtl.DTLVardef@68c66eorg.highwire.dtl.DTLVardef@bb6e54_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 8.C_FLOATNO Graphic Abstract B. pertussis can produce both NOD1 and NOD2 activating PGNs. Release of TCT promotes NOD1 activation and diminishes NOD2 activation. NOD2 activation in myeloid cells drives M1 polarization of macrophages and IL-1 family cytokine production. IL-1 family cytokines skew fibroblasts towards an inflammatory phenotype, leading to chemokine release, extracellular remodeling, and recruitment of lymphocytes. Therefore, TCT release tempers long-term immunity to B. pertussis. C_FIG

microbiology↗

bioRxiv2025

A modelling assessment for the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain

Since 2020, large-scale outbreaks of highly pathogenic avian influenza (HPAI) H5N1 in Great Britain have resulted in substantial poultry mortality and economic losses. Alongside the costs, the risk of circulation leading to a viral reassortment that causes zoonotic spillover raises additional concerns. However, the precise mechanisms driving transmission between poultry premises and the impact of potential control measures in Great Britain, such as vaccination, are not fully understood. We have developed a spatial transmission model for the spread of HPAI in poultry premises calibrated to infected premises data for the 2022-23 season using Markov chain Monte Carlo. Our results indicate that enhanced biosecurity measures and/or vaccination of the premises surrounding an identified infected premises can substantially reduce the overall number of infected premises. Our findings highlight that enhanced control measures could limit the future impact of HPAI on the poultry industry and reduce the risk of broader health threats.

systems biology↗

bioRxiv2025

Modelling the effectiveness of Integrated Pest Management strategies for the control of Septoria tritici

Reducing reliance on pesticides is an important global challenge. With increasing constraints on their use, in recent years there has been a declining trend in pesticide use for arable crops in the UK. But with increasing disease pressures and global demand for food, there is a greater need for effective measures of pest and disease control. These circumstances highlight the need for widespread adoption of sustainable alternative control measures. Integrated Pest Management (IPM) is one such solution, comprising a set of management strategies which focus on the long-term prevention, detection and control of pests, weeds and diseases. While many of these methods are acknowledged to offer effective control, their implementation has thus far been limited in practice. As a case study we considered Septoria tritici blotch (STB) (Zymoseptoria tritici), an economically important disease of wheat. We used epidemiological modelling techniques to investigate the potential of different IPM control strategies (crop residue burial, delayed sowing, variety mixtures and biocontrols). Combining existing data with a deterministic, compartmental infectious disease model of STB transmission, we simulated the implementation of an IPM regime into the STB disease system. We investigated the outcomes on disease prevalence and crop yield when comparing conventional and IPM control regimes. In a single field, for the individual implementation of IPM measures we found the starkest difference in potential yield outcomes between delayed sowing and biocontrols (greatest yields), and crop residue burial and variety mixtures (lowest yields). We also found that the collective use of IPM measures has the potential to offer individual growers comparable control to a standard fungicide regime. For a multi-field setting, representing a community of crop growers, a high proportion of growers using IPM can reduce the level of external infection incurred by the growers who maintain a fungicide regime. Author SummaryWith the UK Government seeking to reduce the environmental risk posed by pesticides, the agricultural industry is under increasing pressure to explore alternative methods of disease control. One such alternative method is Integrated Pest Management (IPM), which consists of a variety of management strategies for long-term prevention, detection and control of crop diseases. In our study, we simulate the potential outcomes of using IPM for the control of Septoria tritici blotch, a common disease of wheat. Our results suggest that a regime of IPM control methods may offer growers comparable yields and disease control to conventional fungicide treatments. Furthermore, in a wider system of crop growers, a higher proportion using IPM can reduce the level of infection incurred by all growers in the system, including those who do not use IPM. These findings can offer insight to crop growers who are considering the use of IPM, and to policy-makers who are interested in encouraging its uptake, by validating and quantifying its effectiveness relative to current standard practices.

ecology↗

bioRxiv2024

Kinetic patterns of single cell gene expression discriminate between the murine cellular responses to live attenuated and inactivated Yellow Fever vaccines

The success of the live attenuated Yellow Fever vaccine (YF17D) that elicits immunity lasting over thirty years has made it a widely used model to understand the generation of durable protection. We compare the early single-cell level transcriptional response in mice to YF17D and an adjuvanted-inactivated, but less effective version (InYF). Within the first week, we identify 70 kinetic patterns in 45 cellular clusters, majority of which discriminate between the two formulations, some in a tissue and sex-specific manner. Intriguingly, differential transcripts fall into two categories, one whose association with YF17D or InYF is maintained even when decoupled from their cell-type of expression and the other where such cell-plus-gene pairing is critical to maintain differential marker status. We demonstrate applications of this resource, by identifying B cells with varied interferon and antigen responsiveness in relation to each vaccine. This high-resolution dataset is amenable to further biomarker discovery and hypothesis generation.

immunology↗

bioRxiv2024

CountASAP: A Lightweight, Easy to Use Python Package for Processing ASAPseq Data

Declining sequencing costs coupled with the increasing availability of easy-to-use kits for the isolation of DNA and RNA transcripts from single cells have driven a rapid proliferation of studies centered around genomic and transcriptomic data. Simultaneously, a wealth of new techniques have been developed that utilize single cell technologies to interrogate a broad range of cell-biological processes. One recently developed technique, transposase-accessible chromatin with sequencing (ATAC) with select antigen profiling by sequencing (ASAPseq), provides a combination of chromatin accessibility assessments with measurements of cell-surface marker expression levels. While software exists for the characterization of these datasets, there currently exists no tool explicitly designed to reformat ASAP surface marker FASTQ data into a count matrix which can then be used for these downstream analyses. To address this, we created CountASAP, an easy-to-use Python package purposefully designed to transform FASTQ files from ASAP experiments into count matrices compatible with commonly-used downstream bioinformatic analysis packages. CountASAP takes advantage of the independence of the relevant data structures to perform fully parallelized matches of each sequenced read to user-supplied input ASAP oligos and unique cell-identifier sequences.

bioinformatics↗

bioRxiv2023

Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic

The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psychological impacts including acute stress disorder, post-traumatic stress disorder, burnout, and moral injury, which can impact individual wellbeing and productivity. As members of the infectious disease modelling community, we convened a reflective workshop to understand the professional and personal impacts of response work on our community and to propose recommendations for future epidemic responses. The attendees represented a range of career stages, institutions, and disciplines. This piece was collectively produced by those present at the session based on our collective experiences. Key issues we identified at the workshop were lack of institutional support, insecure contracts, unequal credit and recognition, and mental health impacts. Our recommendations include rewarding impactful work, fostering academia-public health collaboration, decreasing dependence on key individuals by developing teams, increasing transparency in decision-making, and implementing sustainable work practices. Despite limitations in representation, this workshop provided valuable insights into the UK COVID-19 modelling experience and guidance for future public health crises. Recognising and addressing the issues highlighted is crucial, in our view, for ensuring the effectiveness of epidemic response work in the future.

scientific communication and education↗

bioRxiv2023

Graded FGF activity patterns distinct cell types within the apical sensory organ of the sea anemone Nematostella vectensis

Bilaterian animals have evolved complex sensory organs comprised of distinct cell types that function coordinately to sense the environment. Each sensory unit has a defined architecture built from component cell types, including sensory cells, non-sensory support cells, and dedicated sensory neurons. Whether this characteristic cellular composition is present in the sensory organs of non-bilaterian animals is unknown. Here, we interrogate the cell type composition and gene regulatory networks controlling development of the larval apical sensory organ in the sea anemone Nematostella vectensis. Using single cell RNA sequencing and imaging approaches, we reveal two unique cell types in the Nematostella apical sensory organ, GABAergic sensory cells and a putative non-sensory support cell population. Further, we identify the paired-like (PRD) homeodomain gene prd146 as a specific sensory cell marker and show that Prd146+ sensory cells become post-mitotic after gastrulation. Genetic loss of function approaches show that Prd146 is essential for apical sensory organ development. Using a candidate gene knockdown approach, we place prd146 downstream of FGF signaling in the apical sensory organ gene regulatory network. Further, we demonstrate that an aboral FGF activity gradient coordinately regulates the specification of both sensory and support cells. Collectively, these experiments define the genetic basis for apical sensory organ development in a non-bilaterian animal and reveal an unanticipated degree of complexity in a prototypic sensory structure.

developmental biology↗

bioRxiv2021

Colonization at birth with human CST IV cervicovaginal microbiota alters development and increases neonatal mortality in mice

Profound racial health disparities contribute to maternal-infant morbidity and mortality. An emergent risk factor is the maternal microbiota, whereby compositional alterations impact maternal health and offspring development during pregnancy and beyond. The presence of a nonoptimal CST IV cervicovaginal microbiota, more common in Black and Hispanic women, is associated with increased risk of preterm birth and adverse birth outcomes. Through examination of the biological mechanisms by which vertical transmission of microbiota from mother to offspring influences postnatal development, we found that exposing cesarean delivered mice with CST IV cervicovaginal microbiota from pregnant women produced lasting effects on offspring metabolic, immune, and neural outcomes. We then examined how compounding effects of a typical high-risk, proinflammatory in utero environment, characterized by a maternal obesogenic state and the presence of G. vaginalis, would affect the offspring response to CST IV microbial gut colonization. The resultant developmental immaturity, coupled with an exaggerated immune response induced by exposure to risk-associated maternal microbiota, resulted in a profound increase in neonatal mortality, supporting the critical importance of elucidating the multifactorial biological mechanisms involved in high-risk pregnancies. HighlightsO_LIGut colonization by nonoptimal human cervicovaginal microbiota had sex-specific effects on postnatal development. C_LIO_LIA high-risk in utero environment increased offspring mortality risk. C_LIO_LIHeightened innate immune response associated with mortality risk. C_LIO_LIDevelopmental immaturity, premature birth, and exposure to CST IV contribute to increased offspring mortality risk. C_LI

systems biology↗

bioRxiv2020

Sea anemone genomes reveal ancestral metazoan chromosomal macrosynteny

Draft genome sequences of non-bilaterian species have provided important insights into the evolution of the metazoan gene repertoire. However, there is little information about the evolution of gene clusters, genome architectures and karyotypes during animal evolution. In this regard, slowly evolving anthozoan Cnidaria, the sister group of Bilateria, are particularly informative. Here we report chromosome-level genome assemblies of two related cnidarians, the sea anemones Nematostella vectensis and Scolanthus callimorphus. We find a robust set of 15 chromosomes with a clear one-to-one correspondence between the two species. Both sea anemone genomes show remarkable chromosomal conservation with other cnidarians, several bilaterians and the sponge Ephydatia muelleri, allowing us to reconstruct ancestral cnidarian and metazoan chromosomal blocks, consisting of at least 19 and 16 ancestral linkage groups, respectively. We show that, in contrast to Bilateria, the Hox and NK clusters of investigated cnidarians are largely disintegrated, despite the presence of staggered hox/gbx expression in Nematostella. This loss of microsynteny conservation may be facilitated by shorter distances between cis-regulatory sequences and their cognate transcriptional start sites. In line with that, we find no clear evidence for topologically associated domains, suggesting fundamental differences in long-range gene regulation compared to vertebrates. These data suggest that large sets of ancestral metazoan genes have been retained in ancestral linkage groups of some extant lineages, yet, higher order gene regulation with associated 3D architecture may have evolved only after the cnidarian-bilaterian split.

genomics↗

bioRxiv2019

Seasonal influenza: Modelling approaches to capture immunity propagation

Seasonal influenza poses serious problems for global public health, being a significant contributor to morbidity and mortality. In England, there has been a long-standing national vaccination programme, with vaccination of at-risk groups and children offering partial protection against infection. Transmission models have been a fundamental component of analysis, informing the efficient use of limited resources. However, these models generally treat each season and each strain circulating within that season in isolation. Here, we amalgamate multiple data sources to calibrate a susceptible-latent-infected-recovered type transmission model for seasonal influenza, incorporating the four main strains and mechanisms linking prior season epidemiological out-comes to immunity at the beginning of the following season. Data pertaining to nine influenza seasons, starting with the 2009/10 season, informed our estimates for epidemiological processes, virological sample positivity, vaccine uptake and efficacy attributes, and general practitioner influenza-like-illness consultations as reported by the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC). We performed parameter inference via approximate Bayesian computation to assess strain transmissibility, dependence of present season influenza immunity on prior protection, and variability in the influenza case ascertainment across seasons. This produced reasonable agreement between model and data on the annual strain composition. Parameter fits indicated that the propagation of immunity from one season to the next is weaker if vaccine derived, compared to natural immunity from infection. Projecting the dynamics forward in time suggests that while historic immunity plays an important role in determining annual strain composition, the variability in vaccine efficacy hampers our ability to make long-term predictions.

epidemiology↗

bioRxiv2018

Spatio-temporal modelling of Leishmania infantum infection among domestic dogs: a simulation study and sensitivity analysis applied to rural Brazil

BackgroundThe parasite Leishmania infantum causes zoonotic visceral leishmaniasis (VL), a potentially fatal vector-borne disease of canids and humans. Zoonotic VL poses a significant risk to public health, with regions of Latin America being particularly afflicted by the disease.\n\nLeishmania infantum parasites are transmitted between hosts during blood feeding by infected female phlebotomine sand flies. With a principal reservoir host of L. infantum being domestic dogs, limiting prevalence in this reservoir may result in a reduced risk of infection for the human population. To this end, a primary focus of research efforts has been to understand disease transmission dynamics among dogs. One way this can be achieved is through the use of mathematical models.\n\nMethodsWe have developed a stochastic, spatial, individual-based mechanistic model of L. infantum transmission in domestic dogs. The model framework was applied to a rural Brazilian village setting with parameter values informed by fieldwork and laboratory data. To ensure household and sand fly populations were realistic, we statistically fit distributions for these entities to existing survey data. To identify the model parameters of highest importance, we performed a stochastic parameter sensitivity analysis of the prevalence of infection among dogs to the model parameters.\n\nResultsWe computed parametric distributions for the number of humans and animals per household and a non-parametric temporal profile for sand fly abundance. The stochastic parameter sensitivity analysis determined prevalence of L. infantum infection in dogs to be most strongly affected by the sand fly associated parameters and the proportion of immigrant dogs already infected with L. infantum parasites.\n\nConclusionsEstablishing the model parameters with the highest sensitivity of average L. infantum infection prevalence in dogs to their variation helps motivate future data collection efforts focusing on these elements. Moreover, the proposed mechanistic modelling framework provides a foundation that can be expanded to explore spatial patterns of zoonotic VL in humans and to assess spatially targeted interventions.

epidemiology↗

bioRxiv2018

Positional information specifies the site of organ regeneration and not tissue maintenance in planarians

Most animals undergo homeostatic tissue maintenance, yet those capable of robust regeneration in adulthood use mechanisms significantly overlapping with homeostasis. Here we show in planarians that modulations to body-wide patterning systems shift the target site for eye regeneration while still enabling homeostasis of eyes outside this region. The uncoupling of homeostasis and regeneration, which can occur during normal positional rescaling after axis truncation, is not due to altered injury signaling or stem cell activity, nor specific to eye tissue. Rather, pre-existing tissues, which are misaligned with patterning factor expression domains, compete with properly located organs for incorporation of migratory progenitors. These observations suggest that patterning factors determine sites of organ regeneration but do not solely determine the location of tissue homeostasis. These properties provide candidate explanations for how regeneration integrates pre-existing tissues and how regenerative abilities could be lost in evolution or development without eliminating long-term tissue maintenance and repair.\n\nOne Sentence SummaryHomeostatic tissue maintenance can occur independent of precise positional information in planarians.

developmental biology↗

bioRxiv2017

The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh

In Bangladesh, the poultry industry is an economically and socially important sector, but it is persistently threatened by the effects of H5N1 highly pathogenic avian influenza. Thus, identifying the optimal control policy in response to an emerging disease outbreak is a key challenge for policy-makers. To inform this aim, a common approach is to carry out simulation studies comparing plausible strategies, while accounting for known capacity restrictions. In this study we perform simulations of a previously developed H5N1 influenza transmission model framework, fitted to two separate historical outbreaks, to assess specific control objectives related to the burden or duration of H5N1 outbreaks among poultry farms in the Dhaka division of Bangladesh. In particular, we explore the optimal implementation of ring culling, ring vaccination and active surveillance measures when presuming disease transmission predominately occurs from premises-to-premises, versus a setting requiring the inclusion of external factors. Additionally, we determine the sensitivity of the management actions under consideration to differing levels of capacity constraints and outbreaks with disparate transmission dynamics. While we find that reactive culling and vaccination policies should pay close attention to these factors to ensure intervention targeting is optimised, across multiple settings the top performing control action amongst those under consideration were targeted proactive surveillance schemes. Our findings may advise the type of control measure, plus its intensity, that could potentially be applied in the event of a developing outbreak of H5N1 amongst originally H5N1 virus-free commercially-reared poultry in the Dhaka division of Bangladesh.

epidemiology↗