Biology subjects

Duncan, M.

Publications and source records attributed to Duncan, M..

4 recordsLinked to original sources

bioRxiv2026

Disease-specific differences in particulate matter handling drive pathogenic responses in human derived nasal epithelial cells

BackgroundParticulate matter (PM) exposure is associated with increased risk and exacerbation of chronic rhinosinusitis (CRS), yet underlying mechanisms remain poorly understood. ObjectiveTo define the epithelial mechanisms by which PM exposure promotes and exacerbates CRS, with a focus on epithelial remodeling, inflammation, barrier dysfunction, and cellular uptake of PM. MethodsHuman nasal epithelial cells obtained from ethmoid tissue of CRS (n = 5) and control donors (n = 4) were cultured at an air-liquid interface and exposed to PM. Single-cell RNA sequencing was performed to characterize PM-induced cellular and transcriptional changes. Protein expression, epithelial barrier integrity, cell death, and intracellular PM uptake were evaluated using biochemical, imaging, and ultrastructural approaches. ResultsUnsupervised clustering identified seven epithelial cell populations. Gene set analysis revealed baseline enrichment of inflammatory and keratinization pathways and reduced ciliogenesis in CRS compared with controls. Although PM induced inflammation and squamous differentiation in controls, the pathogenic responses were significantly amplified in CRS, including uniquely enhanced IL-1 signaling. Transcriptional changes were validated by ELISA, transepithelial electrical resistance, and immunofluorescence, demonstrating increased inflammation, epithelial barrier disruption, and cell death following PM exposure. Transmission electron microscopy revealed increased intracellular PM within membrane-bound organelles. Pre-treatment with an endocytosis inhibitor rescued PM-induced epithelial barrier dysfunction and inflammation. ConclusionCRS epithelium exhibits baseline dysfunction that may predispose it to environmental injury. PM exposure both induces CRS-like epithelial changes in controls and exacerbates disease-associated phenotypes. Key MessagesO_LICompared to controls, CRS nasal epithelium exhibits baseline inflammatory, keratinization, and ciliogenesis abnormalities. C_LIO_LIParticulate matter induces inflammation and squamous differentiation, while amplifying epithelial injury that is more robust in CRS epithelium compared to controls. C_LIO_LIInhibition of dynamin-dependent endocytosis rescues PM-induced epithelial barrier leakiness and inflammation, implicating intracellular particulate matter uptake in disease pathogenesis. C_LI Capsule SummaryParticulate matter induces CRS-like epithelial remodeling in controls and exacerbates inflammation and epithelial barrier dysfunction in CRS nasal epithelium, which can be rescued with endocytosis inhibition. This suggests a mechanistic link between baseline CRS vulnerability, intracellular uptake of particulate matter, and disease pathogenesis.

cell biology↗

bioRxiv2026

The C. elegans nervous system reads the internal state of the hydrogen peroxide-detoxification machinery to trigger escape from this common reactive chemical

Hydrogen peroxide (H2O2) is the most common reactive chemical threat faced by organisms. Here, we map the neural circuit that drives chemotactic escape from environmental H2O2 in the nematode C. elegans. Twenty-four neuron classes with sensory endings at the mouth and nose of the animal detect H2O2. Their response dynamics encode stimulus intensity and exposure history, and their partial redundancy makes avoidance resilient to the loss of individual inputs. Sensing begins when H2O2 oxidizes the peroxidatic and resolving cysteines of the cytosolic peroxiredoxin PRDX-2, which relays this oxidative signal to cysteines on the LITE-1 and GUR-3 ion channels, triggering calcium influx in sensory neurons that drive escape. Most of these neurons release glutamate to drive H2O2-dependent excitation of AIA interneurons, whereas others signal through non-glutamatergic routes, providing multiple routes for signal transmission. Thus, the C. elegans nervous system acts as a hydrogen peroxide sentinel that monitors H2O2-induced changes in the intracellular H2O2-detoxification machinery and relays them to interneurons driving organism-wide escape. This raises the possibility that circuit defects in aging and neurodegenerative disease arise from altered peroxiredoxin-mediated H2O2 signaling rather than primarily from direct macromolecular damage.

neuroscience↗

bioRxiv2024

A global view of the RNA-binding and regulatory protein landscape in Caenorhabditis elegans

Post-transcriptional regulation of gene expression is essential for the correct development and functioning of an organism. This regulation is coordinated by a collection of proteins that work together to determine an RNAs post-transcriptional fate. Here, we provide a global overview of the RNA regulatory protein landscape in Caenorhabditis elegans, to provide insight into the coordination of post-transcriptional regulatory activities in the context of a multicellular organism. First, we have curated a comprehensive list of all known and putative RNA regulatory proteins encoded in the C. elegans genome, classified based on domain and functional annotations and published experimental data. Second, using protein-protein interaction data in the STRING database, we created a putative RNA regulatory protein interaction network that highlighted known RNA regulatory complexes, and leveraged this network to identify an additional 138 known and putative RNA regulators previously unannotated in C. elegans. Finally, we examined the tissue- and developmental-stage-specific expression of RNA regulators using published transcript expression data, which revealed strong expression in the gonad for a majority, as well as dozens expressed specifically in each of the major somatic C. elegans tissues. Taken together, this work will provide a valuable resource for future studies of RNA biology in C. elegans.

genomics↗

bioRxiv2024

A tale of too many trees: a conundrum for phylogenetic regression

AO_SCPLOWBSTRACTC_SCPLOWJust exactly which tree(s) should we assume when testing evolutionary hypotheses? This question has plagued comparative biologists for decades. Given a perfectly estimated tree (if this is even possible in practice), we seldom know with certainty whether such a tree is truly best (or even adequate) to represent the evolutionary history of our studied traits. Regardless of our certainty, choosing a tree is required for all phylogenetic comparative methods. Yet, phylogenetic conflict and error are ubiquitous in modern comparative biology, and we are still learning about their dangers when testing evolutionary hypotheses. Here we investigated the consequences of gene tree-species tree mismatch for phylogenetic regression in the presence of incomplete lineage sorting. Our simulation experiments reveal excessively high false positive rates for mismatched phylogenetic regression with both small and large trees, simple and complex traits, and known and estimated phylogenies. In some cases, we find evidence of a directionality of error: incorrectly assuming a species tree for traits that evolved according to a gene tree sometimes fares worse than the opposite. To explore difficult yet realistic regression scenarios, we also used estimated rather than known trees to conduct case studies, as well as an expansive gene expression dataset to investigate an arguably best-case scenario in which one may have a better chance to match tree with trait. Though never meant to be a panacea for all that may ail phylogenetic comparative methods, we found promise in the application of a robust estimator as a potential, albeit imperfect, solution to some issues raised by tree mismatch, perhaps offering a path forward. Collectively, our results emphasize the importance of careful study design for comparative methods, highlighting the need to fully appreciate the role of adequate phylogenetic modeling for testing evolutionary hypotheses.

evolutionary biology↗