Biology subjects

Sampson, J.

Publications and source records attributed to Sampson, J..

10 recordsLinked to original sources

bioRxiv2026

From exposure to infection: divergent fitness consequences of parasite encounters in a trophically-transmitted system

Parasites can alter host populations in fundamentally different ways depending on whether exposure results in infection. Yet, most epidemiological and evolutionary inference focuses on established infections, leaving the fitness consequences of parasite exposure comparatively understudied. This gap is consequential because hosts are frequently exposed to diverse parasite genotypes, and these encounters can impose substantial fitness costs even when infection does not occur. Theory predicts that hosts may mitigate these costs when interacting with commonly encountered parasite genotypes, such that exposure to sympatric parasites incurs lower fitness consequences than exposure to novel, allopatric parasites. Here, we examine the fitness consequences of exposure and infection in the first intermediate host of the trophically transmitted tapeworm Schistocephalus solidus, a cyclopoid copepod that serves as the first host in a three-host life cycle. Using sympatric (Vancouver Island, Canada) and allopatric (Norway) host-parasite combinations, we found a striking reciprocal asymmetry. Sympatric parasites were significantly more infective, yet exposure to sympatric parasites imposed weaker fitness costs when infection did not establish. In contrast, allopatric parasites were less infective, but exposed females produced fewer eggs and had lower hatching success than both controls and females exposed to sympatric parasites, indicating substantial genotype-dependent costs of exposure. Moreover, we found that infection was highly virulent across all genotypes: a single parasite caused near-complete reproductive suppression and reduced host survival across all host-parasite pairings, confirming S. solidus as a castrating parasite in copepods. Together, these results demonstrate that exposure, not just infection, acts as a critical ecological filter with potentially large and underappreciated consequences for host population dynamics and parasite transmission.

evolutionary biology↗

bioRxiv2025

IL-12 Secreting CAR-T Cells Reprogram the Tumor Microenvironment and Improve Efficacy Against Heterogeneous Models of Glioblastoma

BackgroundGlioblastoma (GBM) remains uniformly lethal due to pronounced intratumoral heterogeneity and a highly immunosuppressive microenvironment that limits the efficacy of targeted therapies. MethodsWe engineered chimeric antigen receptor (CAR) T cells targeting EGFRvIII and armored them with a single-chain interleukin-12 (scIL12) payload. These cells were tested in syngeneic, orthotopic GBM mouse models exhibiting heterogeneous EGFRvIII expression. CAR T cells were delivered intracranially without lymphodepletion. ResultsIntracranial administration of of scIL12-secreting CAR-T cells eradicated tumors without requiring lymphodepletion, achieving 50% long-term survival. Survival benefits depended entirely on endogenous CD8 T cells, as efficacy was abolished in CD8-deficient hosts and unaffected by NK cell depletion. Notably, therapeutic efficacy was abrogated by lymphodepletion, underscoring the necessity of an intact endogenous immune response. Mechanistically, scIL12 enhanced CAR-T cell persistence and reprogrammed tumor-associated microglia, indicating potential epitope spreading through polyclonal endogenous CD8+ T-cell responses, which facilitate the elimination of EGFRvIII-negative tumor cells. ConclusionsThis study demonstrates the pleiotropic benefits of IL-12 armored CAR-T cells with improved targeting of antigen-positive tumor cells and simultaneous remodeling of the microenvironment to engage adaptive immunity against antigen-negative clones. This strategy offers a potential clinically actionable approach to improve outcomes in GBM by circumventing the need for toxic lymphodepletion and addressing tumor heterogeneity.

immunology↗

bioRxiv2025

Needle in a haystack: A droplet digital polymerase chain reaction assay to detect rare helminth parasites infecting natural host populations

Helminths infect humans, livestock, and wildlife, yet remain understudied despite their significant impact on public health and agriculture. Because many of the most prevalent helminth-borne diseases are zoonotic, the health of diverse host species are closely interconnected. Therefore, understanding helminth transmission among wildlife could improve predictions and management of infection risks across species. A key challenge to understanding helminth transmission dynamics in wildlife is accurately and quantitatively tracking infection levels across hosts and environments. Traditional methods, such as visual parasite identification from environmental samples or infected hosts, are time-consuming, while standard molecular techniques (e.g., PCR and qPCR) often lack the sensitivity to reliably detect lower parasit burdens. These limitations often underestimate the prevalence and severity of infection, hindering efforts to manage infectious diseases. Here, we developed a multiplexed droplet digital PCR (ddPCR) assay to quantify helminth levels in aquatic habitats using 18S rRNA target genes. Using Schistocephalus solidus and their copepod hosts as a case study, we demonstrate ddPCRs sensitivity and precision. By establishing a 1:1 infection standard in the lab, we contextualize ddPCR gene concentration data to quantify both host and parasite numbers in field samples. The assay is highly reproducible, reliably detecting target genes at concentrations as low as 1 picogram of DNA in lab standards and field samples (multi-species and eDNA). Thus, we provide a toolkit for quantifying infection loads in intermediate hosts and monitoring infection dynamics across spatio-temporal scales in multiple helminth systems of concern for public health, agriculture, and conservation biology. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/634533v1_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@1bc2e40org.highwire.dtl.DTLVardef@180822eorg.highwire.dtl.DTLVardef@1e2c2c8org.highwire.dtl.DTLVardef@621909_HPS_FORMAT_FIGEXP M_FIG Applications of ddPCR probe-primer design to parallel systems. Cyclopoid copepods serve as initial hosts for diverse helminthic diseases distributed globally. The primers designed in this assay are suitable for other systems, with minimal work required for probe design specific to each helminth species. C_FIG

molecular biology↗

bioRxiv2025

Detailed tandem repeat allele profiling in 1,027 long-read genomes reveals genome-wide patterns of pathogenicity

Short tandem repeat (STR) instability is a major cause of disease association, yet their full length-distributions and sequence content have been difficult to resolve with short-read sequencing. By analyzing long-read sequencing genomes from 2,645 participants of the All of Us Research Program, we establish a comprehensive STR resource of 23 billion alleles covering a catalog of 4.4 million loci. We find that known disease-associated STR loci exhibit markedly elevated allelic variability relative to genome-wide distributions, which is most pronounced when based on the length of uninterrupted, pure repeat motifs (Odds Ratio: 244, p=1.62e-29). We establish the Pure Length Variability Index (PLVI) as a measure of this instability, which is robust across ancestries and replicated in 500 samples from the 1000 Genomes Project (Odds Ratio: 84, p=2.72e-28). To illustrate, we identify 55 unstable coding CAG and 5-UTR CGG STR loci with this metric, 60% of which have not been associated with disease. From this set, we document potential pathogenic repeat expansions for FAM193B and EP400 by integrating PLVI with single-genome length outlier analysis. These data establish a population-scale framework for STR discovery in rare and common diseases using long-read sequencing cohorts.

genomics↗

bioRxiv2024

Circadian rhythm disruption alters mammary gland morphology and accelerates cold aggressive tumorigenesis through a LILRB4-dependent pathway

Epidemiological studies have shown that circadian rhythm disruption (CRD) is associated with the risk of breast cancer. However, the role of CRD in mammary gland morphology and aggressive basal mammary tumorigenesis and the molecular mechanisms underlying CRD and cancer risk remain unknown. To investigate the effect of CRD on aggressive tumorigenesis, a genetically engineered mouse model that recapitulates the human basal type of breast cancer was used for this study. The effect of CRD on mammary gland morphology was investigated using wild-type mice model. The impact of CRD on the tumor microenvironment was investigated using the tumors from LD12:12 and CRD mice via scRNA seq. ScRNA seq was substantiated by multiplexing immunostaining, flow cytometry, and realtime PCR. The effect of LILRB4 immunotherapy on CRD-induced tumorigenesis was also investigated. Here we identified the impact of CRD on basal tumorigenesis and mammary gland morphology and identified the role of LILRB4 on CRD-induced lung metastasis. We found that chronic CRD disrupted mouse mammary gland morphology and increased tumor burden, and lung metastasis and induced an immunosuppressive tumor microenvironment by enhancing LILRB4a expression. Moreover, CRD increased the M2-macrophage and regulatory T-cell populations but decreased the M1-macrophage, and dendritic cell populations. Furthermore, targeted immunotherapy against LILRB4 reduced CRD-induced immunosuppressive microenvironment and lung metastasis. These findings identify and implicate LILRB4a as a link between CRD and aggressive mammary tumorigenesis. This study also establishes the potential role of the targeted LILRB4a immunotherapy as an inhibitor of CRD-induced lung metastasis.

cancer biology↗

bioRxiv2021

Measuring the invisible - The sequences causal of genome size differences in eyebrights (Euphrasia) revealed by k-mers

Genome size variation within plant (and other) taxa may be due to presence/absence variation in low-copy sequences or copy number variation in genomic repeats of various frequency classes. However, identifying the sequences underpinning genome size variation has been challenging because genome assemblies commonly contain collapsed representations of repetitive sequences and because genome skimming studies miss low-copy number sequences. Here, we take a novel approach based on k-mers, short sub-sequences of equal length k, generated from whole genome sequencing data of diploid eyebrights (Euphrasia), a group of plants which have considerable genome size variation within a ploidy level. We compare k-mer inventories within and between closely related species, and quantify the contribution of different copy number classes to genome size differences. We further assign high-copy number k-mers to specific repeat types as retrieved from the RepeatExplorer2 pipeline. We find complex patterns of k-mer differences between samples. While all copy number classes contributed to genome size variation, the largest contribution came from repeats with 1000-10,000 genomic copies including the 45S rDNA satellite DNA and, unexpectedly, a repeat associated with an Angela transposable element. We also find size differences in the low-copy number class, likely indicating differences in gene space between our samples. In this study, we demonstrate that it is possible to pinpoint the sequences causing genome size variation within species without use of a reference genome. Such sequences can serve as targets for future cytogenetic studies. We also show that studies of genome size variation should go beyond repeats and consider the whole genome. To allow future work with other taxonomic groups, we share our analysis pipeline, which is straightforward to run, relying largely on standard GNU command line tools.

evolutionary biology↗

bioRxiv2020

Phase-separation of EML4-ALK variant 3 is dependent upon an active ALK conformation

Oncogenic fusions involving tyrosine kinases are common drivers of non-small cell lung cancer (NSCLC). There are at least 15 different variants of the EML4-ALK fusion, all of which have a similar portion of ALK that includes the kinase domain, but different portions of EML4. Targeted treatment with ALK tyrosine kinase inhibitors (TKIs) has proven effective but patient outcomes are variable. Here, we focus on one common variant, EML4-ALK V3, which drives an aggressive form of the disease. EML4-ALK V3 protein forms cytoplasmic liquid droplets that contain the signalling proteins GRB2 and SOS1. The TKIs ceritinib and lorlatinib dissolve these droplets and the EML4-ALK V3 protein re-localises to microtubules, an effect recapitulated by an inactivating mutation in the ALK catalytic site. Mutations that promote a constitutively active ALK stabilise the liquid droplets even in the presence of TKIs, indicating that droplets do not depend on kinase activity per se. Uniquely, the TKI alectinib promotes droplet formation of both the wild-type and catalytically inactive EML4-ALK V3 mutant, but not in a mutant that disrupts a hallmark of the kinase activity, the Lys-Glu salt-bridge. We propose that EML4-ALK V3 liquid droplet formation occurs through transient dimerization of the ALK kinase domain in its active conformation in the context of stable EML4-ALK trimers. Our results provide insights into the relationship between ALK activity, conformational state and the sub-cellular localisation of EML4-ALK V3 protein, and reveal the different effects of structurally divergent ALK TKIs on these properties.

cell biology↗

bioRxiv2019

Microporous scaffolds drive assembly and maturation of progenitors into β-cell clusters

Human pluripotent stem cells (hPSCs) represent a promising cell source for the development of {beta}-cells for use in therapies for type 1 diabetes. Current culture approaches provide the signals to drive differentiation towards {beta}-cells, with the cells spontaneously assembling into clusters. Herein, we adapted the current culture systems to cells seeded on microporous biomaterials, with the hypothesis that the pores can guide the assembly into {beta}-cell clusters of defined size that can enhance maturation. The microporous scaffold culture allows hPSC-derived pancreatic progenitors to form clusters at a consistent size as cells undergo differentiation to immature {beta}-cells. By modulating the scaffold pore sizes, we observed 250-425 {micro}m pore size scaffolds significantly enhance insulin expression and key {beta}-cell maturation markers compared to suspension cultures. Furthermore, when compared to suspension cultures, the scaffold culture showed increased insulin secretion in response to glucose stimulus indicating the development of functional {beta}-cells. In addition, scaffolds facilitated cell-cell interactions enabled by the scaffold design and cell-mediated matrix deposition of extracellular matrix (ECM) proteins associated with the basement membrane of islet cells. We further investigated the influence of ECM on cell development by incorporating an ECM matrix on the scaffold prior to cell seeding; however, their presence did not further enhance maturation. These results suggest the microporous scaffold culture facilitates 3D cluster formation, supports cell-cell interactions, and provides a matrix similar to a basement membrane to drive in vitro hPSC-derived {beta}-cell maturation and demonstrates the feasibility of these scaffolds as a biomanufacturing platform.

bioengineering↗

bioRxiv2018

A Simple Approximation To The Bias Of Gene-Environment Interactions In Case/Control Studies With Silent Disease

One of the most important research areas in case-control Genome-Wide Association Studies is to determine how the effect of a genotype varies across the environment or to measure the gene-environment interaction (GxE). We consider the scenario when some of the \"healthy\" controls actually have the disease and when the frequency of these latent cases varies by the environmental variable of interest. In this scenario, performing logistic regression of clinically defined case status on the genetic variant, environmental variable, and their interaction will result in biased estimates of GxE interaction. Here, we derive a general theoretical approximation to the bias in the estimates of the GxE interaction and show, through extensive simulation, that this approximation is accurate in finite samples. Moreover, we apply this approximation to evaluate the bias in the effect estimates of the genetic variants related to mitochondrial proteins a large-scale Prostate Cancer study.

genetics↗

bioRxiv2016

Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides: Understanding Randomness in Clinical Outcomes Following Stem Cell Transplantation

The quantitative relationship between the magnitude of variation in minor histocompatibility antigens (mHA) and graft versus host disease (GVHD) pathophysiology in stem cell transplant (SCT) donor-recipient pairs (DRP) is not established. In order to elucidate this relationship, whole exome sequencing (WES) was performed on 27 HLA matched related (MRD), & 50 unrelated donors (URD), to identify nonsynonymous single nucleotide polymorphisms (SNPs). An average 2,463 SNPs were identified in MRD, and 4,287 in URD DRP (p<0.01); resulting peptide antigens that may be presented on HLA class I molecules in each DRP were derived in silico (NetMHCpan ver2.0) and the tissue expression of proteins these were derived from determined (GTex). MRD DRP had an average 3,670 HLA-binding-alloreactive peptides, putative mHA (pmHA) with an IC50 of <500 nM, and URD, had 5,386 (p<0.01). To simulate an alloreactive donor cytotoxic T cell response, the array of pmHA in each patient was considered as an operator matrix modifying a hypothetical cytotoxic T cell clonal vector matrix; each responding T cell clones proliferation was determined by the logistic equation of growth, accounting for HLA binding affinity and tissue expression of each alloreactive peptide. The resulting simulated organ-specific alloreactive T cell clonal growth revealed marked variability, with the T cell count differences spanning orders of magnitude between different DRP. Despite an estimated, uniform set of constants used in the model for all DRP, and a heterogeneously treated group of patients higher total and organ-specific T cell counts were associated with cumulative incidence of GVHD in recipients in Cox proportional hazard models. In conclusion, exome wide sequence differences and the variable alloreactive peptide binding to HLA in each DRP yields a large range of possible alloreactive donor T cell responses. Our findings also help understand the apparent randomness observed in the development of alloimmune responses.

immunology↗