Biology subjects

Chapman, S. J.

Publications and source records attributed to Chapman, S. J..

4 recordsLinked to original sources

bioRxiv2024

Watch-breaker: establishment of a microwell array-based miniaturized thymic organoid model suitable for high throughput applications.

T-cell development depends critically on the thymic stroma, in particular the diverse array of functionally distinct thymic epithelial cell (TEC) types. However, a robust in vitro thymus model mimicking the native thymus and compatible with medium/high-throughput analyses is currently lacking. Here, we demonstrate a novel high-density microwell array-based miniaturized thymus organoid (mTO) model, that supports T-cell commitment and development, possesses key organizational characteristics of the native thymus and is compatible with live-imaging and medium/high-throughput applications. We establish the minimum cellular input required for functional mTO and show that mTO TEC phenotype and complexity closely mirrors the native thymus. Finally, we use mTO to probe the role of fetal thymic mesenchyme, revealing a requirement beyond maintenance of Foxn1 in differentiation/maintenance of mature TEC subpopulations. Collectively, mTO present a new in vitro model of the native thymus adaptable to medium/high-throughput applications and validated for exploration of thymus- and thymus organoid-biology.

immunology↗

bioRxiv2023

Motility-Induced Phase Separation Mediated by Bacterial Quorum Sensing

We study motility-induced phase separation (MIPS) in living active matter, in which cells interact through chemical signalling, or quorum sensing. In contrast to previous theories of MIPS, our multiscale continuum model accounts explicitly for genetic regulation of signal production and motility. Through analysis and simulations, we derive a new criterion for the onset of MIPS that depends on features of the genetic network. Furthermore, we identify and characterise a new type of oscillatory instability that occurs when gene regulation inside cells promotes motility in higher signal concentrations.

biophysics↗

bioRxiv2019

Modelling Osteocyte Network Formation: Healthy and Cancerous Environments

Advanced cancers, such as prostate and breast cancers, commonly metastasize to bone. In the bone matrix, dendritic osteocytes form a spatial network allowing communication between osteocytes and the osteoblasts located on the bone surface. This communication network facilitates coordinated bone remodelling. In the presence of a cancerous microenvironment, the morphology of this network changes. Commonly osteocytes appear to be either overdifferentiated (i.e., there are more dendrites than healthy bone) or underdeveloped (i.e., dendrites do not fully form). In addition to structural changes, histological sections from metastatic breast cancer xenografted mice show that number of osteocytes per unit area is different between healthy bone and cancerous bone. We present a stochastic agent-based model for bone formation incorporating osteoblasts and osteocytes that allows us to probe both network structure and density of osteocytes in bone. Our model both allows for the simulation of our spatial network model and analysis of mean-field equations in the form of integro-partial differential equations. We considered variations of our model to study specific physiological hypotheses related to osteoblast differentiation; for example predicting how changing biological parameters, such as rates of bone secretion, rates of cancer formation and rates of osteoblast differentiation can allow for qualitatively different network morphologies. We then used our model to explore how commonly applied therapies such as bisphosphonates (e.g. zoledronic acid) impact osteocyte network formation.

physiology↗

bioRxiv2019

Elevated risk of invasive group A streptococcal disease and host genetic variation in the human leukocyte antigen locus

Invasive group A streptococcal (GAS) disease is uncommon but carries a high case-fatality rate relative to other infectious diseases. Given the ubiquity of mild GAS infections, it remains unclear why healthy individuals will occasionally develop life-threatening infections, raising the possibility of host genetic predisposition. Here, we present the results of a case-control study including 43 invasive GAS cases and 1,540 controls. Using HLA imputation and linear mixed-models, we find each copy of the HLA-DQA1*01:03 allele associates with a two-fold increased risk of disease (odds ratio 2.3, 95% confidence interval 1.3-4.4, P=0.009), an association which persists with classical HLA typing of a subset of cases and analysis with an alternative large control dataset with validated HLA data. Moreover, we propose the association is driven by the allele itself rather than the background haplotype. Overall this finding provides impetus for further investigation of the immunogenetic basis of this devastating bacterial disease.

genetics↗