Biology subjects

Taylor, J. M.

Publications and source records attributed to Taylor, J. M..

12 recordsLinked to original sources

bioRxiv2026

Development and translational validation of a novel mouse model for allergic rhinitis

Background: Approximately 30% of the North American population are affected by seasonal or perennial rhinitis. Allergens from cats are common triggers of allergic rhinitis. Importantly, cat allergic rhinitis (cat-AR) is a major risk factor for more severe allergic diseases, including asthma. Current therapies rarely achieve full symptom control and development of novel therapeutics is constrained by the lack of physiologically relevant preclinical models. Objective: Establishment of a clinically-informed mouse model of cat allergen exposure in humans. Methods: Controlled human exposure was performed using airborne natural cat dander (CD) in a validated environmental exposure facility. Nasal immune cells and IgE concentrations in serum and nasal samples were assessed. In mice, we established a 14-day intermittent intranasal sensitization and challenge protocol using the same CD allergens. Clinical signs in mice were objectively quantified using AI-based video detection. Cellular changes in the nose were assessed with level-specific, spatial resolution. Lastly, systemic sensitization was confirmed through serum IgE and intradermal ear challenge. Measurements and Main Results: Following CD exposure, cat-allergic participants displayed increased nasal symptoms and eosinophil influx. CD-sensitized mice recapitulated key clinical features, including increased nasal rubbing, elevated nasal immune cell infiltration, and systemic sensitization. Importantly, spatial investigation of the cellular changes revealed major changes in the turbinate and olfactory regions of the nose. Conclusions: This novel mouse model provides a translationally valuable platform for investigating local and systemic mechanisms of cat-AR. It will serve for mechanistic and therapeutic evaluations with the goal of improving clinical translation and therapeutic precision.

immunology↗

bioRxiv2026

Multiview-SPIM-{micro}PIV for mapping 3C-3D blood flow within the beating zebrafish heart

Cardiac blood flow is a regulator of several important developmental and remodelling processes in the heart, including through fluid shear forces sensed by the endothelial cells lining the heart. However, optically mapping these flow fields in the complex 3D geometry of the heart is challenging even in transparent animal models such as the zebrafish. One of the main challenges is the difficulty in measuring the out-of-plane (axial) velocity component, preventing accurate mapping of the complete 3-component-3-dimension (3C-3D) blood flow velocity field; image-based techniques such as microscopic particle image velocimetry ({micro}PIV) traditionally only provide the in-plane flow components. Here we present a computational approach to achieve full time-varying 3C-3D blood flow vector mapping using a standard selective plane illumination microscope (SPIM), based on robust cardiac phase assignment, precise measurement-driven registration of sequentially acquired z-stacks, and PIV data fusion from multiple sample orientations. Our approach holds the key to understanding the complex dynamic flow fields within the developing heart, and their role in shaping cardiac development.

biophysics↗

bioRxiv2024

Type-I interferons drive the gastrointestinal inflammatory response in a mouse model of Parkinsons disease

Background and AimsParkinsons disease (PD) is an age-related neurodegenerative disorder characterised by classical motor symptoms due to a loss of dopaminergic neurons in the substantia nigra pars compacta. The type-I interferons (IFNs) are elevated in the aging brain and we have implicated them in the neuroinflammatory response in PD. With increasing evidence of gastrointestinal (GI) dysfunction in PD patients, this study explored the contribution of the type-I IFNs to the transmission of pathology from the brain to the gut in PD. MethodsYoung (10-12 weeks) and aged (40-50 weeks) wildtype and IFNAR1-/- mice received an intrastriatal injection of human alpha-synuclein (-Syn) pre-formed fibrils (PFF) (8ug) with gut tissue analysed 6-months post-injection (p.i). A mouse intestinal organoid culture model was established to further characterise the -Syn induced inflammatory response in the gut. ResultsAn intrastriatal injection of human -Syn PFFs was shown to initiate a type-I IFN-dependent neuroinflammatory response in the GI tract of wildtype mice at 6-months p.i. This response was attributed to an elevation in type-I IFN signalling in aged mice that was absent in the IFNAR1-/- mice. Mouse intestinal organoid cultures confirmed -Syn was taken up by the enteroendocrine cells (EECs) to induce a type-I IFN mediated pro-inflammatory response that was attenuated in IFNAR1-/- cultures. ConclusionThis study has confirmed the type-I IFNs modulate the -Syn PFF induced inflammatory response within the gut potentiating pathology progression along the gut-brain axis. Early intervention of this type-I IFN response may be a potential therapeutic target to limit the progression of PD.

neuroscience↗

bioRxiv2023

Century-old chromatin architecture preserved with formaldehyde

Co-ordinated regulation or dysregulation of chromatin architecture underpins fundamental biological processes, such as embryonic development, disease, cellular programming and response to environmental stress. The dynamic and plastic nature of chromatin accessibility is a major driver of phenotypic diversity, but we know shockingly little about the temporal dynamics of chromatin reorganisation and almost nothing prior to the existence of flash-frozen specimens. Linking two disparate fields by their common use and application of the preservative formaldehyde, we present an approach to characterise chromatin architecture in formaldehyde-preserved specimens up to 117 years old. We characterise how over-fixation modulates but does not eliminate genome-wide patterns of differential chromatin accessibility. Our novel analytical approach identifies promoter regions enriched for gene ontology terms matching the tissue of origin, resulting in sex-specific and environment-dependent genome-wide profiles. Contrary to prevailing dogma, we show that over-fixation is essential for the successful recovery of historical chromatin architecture. Our methodological and analytical advances open the door to the first detailed and comprehensive view of the epigenetic past and reveal a new role for museum collections in understanding chromatin architecture dynamics over the last century.

genomics↗

bioRxiv2023

High-efficiency digitally scanned light-sheet fluorescence lifetime microscopy (DSLM-FLIM)

Recently-developed kilopixel single-photon avalanche diode (SPAD) arrays with in-pixel timing hold great promise for fluorescence lifetime imaging microscopy of dynamic samples, thanks to their widefield single-photon time-of-arrival imaging capabilities. However digitally-scanned light-sheet microscope (DSLM) and two-photon microscope systems present significant technical barriers which have to date prevented full and efficient use of the capabilities of SPAD arrays. Because the 12.4 kHz frame-rate of our array camera is faster than achievable DSLM scan rates, most pixels would be sitting idle most of the time. We present a new optical design based around astigmatic imaging optics, enabling rapid and efficient acquisition of fluorescence lifetime imaging data. We demonstrate our system with both one- and two-photon excitation sources, validate performance with lifetime reference beads, and demonstrate separation of similar fluorescence emission spectra in biological samples via lifetime contrast.

biophysics↗

bioRxiv2023

A fast algorithm for 3D volume reconstruction from light field microscopy datasets

Light field microscopy can capture 3D volume datasets in a snapshot, making it a valuable tool for high-speed 3D imaging of dynamic biological events. However, subsequent computational reconstruction of the raw data into a human-interpretable 3D+time image is very time-consuming, limiting the techniques utility as a routine imaging tool. Here we derive improved equations for 3D volume reconstruction from light field microscopy datasets, leading to dramatic speedups. We characterise our open-source Python implementation of these algorithms, and demonstrate real-world reconstruction speedups of more than an order of magnitude compared to established approaches. The scale of this performance improvement opens up new possibilities for studying large timelapse datasets in light field microscopy.

bioinformatics↗

bioRxiv2021

Macrophages stimulate epicardial VEGFaa to trigger cardiomyocyte proliferation in larval zebrafish heart regeneration

Cardiac injury induces a sustained macrophage response in both zebrafish and mammals. Macrophages perform a range of both beneficial and detrimental functions during mammalian cardiac repair, yet their precise roles in zebrafish cardiac regeneration are not fully understood. Here we characterise cardiac regeneration in the rapidly regenerating larval zebrafish laser injury model and use macrophage ablation and macrophage-null irf8 mutants to define the role of macrophages in key stages of regeneration. Live heartbeat-synchronised imaging and RNA sequencing revealed an early proinflammatory phase, marked by tnfa+ macrophages, which then resolved to an anti-inflammatory, profibrotic phase. Macrophages were required for cardiomyocyte proliferation but not for functional or structural recovery following injury. Importantly, we found that macrophages are specifically recruited to the epicardial-myocardial niche, triggering the expansion of the epicardium which upregulates VEGFaa expression to induce cardiomyocyte proliferation. Hence, revealing a novel mechanism by which macrophages facilitate cardiac regeneration.

immunology↗

bioRxiv2019

Rapid functionalisation and detection of viruses via a novel Ca2+-mediated virus-DNA interaction

Current virus detection methods often take significant time or can be limited in sensitivity and specificity. The increasing frequency and magnitude of viral outbreaks in recent decades has resulted in an urgent need for diagnostic methods that are facile, sensitive, rapid and inexpensive. Here, we describe and characterise a novel, calcium-mediated interaction of the surface of enveloped viruses with DNA, that can be used for the functionalisation of intact virus particles via chemical groups attached to the DNA. Using DNA modified with fluorophores, we have demonstrated the rapid and sensitive labelling and detection of influenza and other viruses using single-particle tracking and particle-size determination. With this method, we have detected clinical isolates of influenza in just one minute, significantly faster than existing rapid diagnostic tests. This powerful technique is easily extendable to a wide range of other enveloped pathogenic viruses and holds significant promise as a future diagnostic tool.

microbiology↗

bioRxiv2019

Hybrid optical gating for long-term 3D time-lapse imaging of the beating embryonic zebrafish heart

Three-dimensional fluorescence time-lapse imaging of structural, cellular and sub-cellular processes in the beating heart is an increasingly achievable goal using the latest imaging and computational techniques. However, previous approaches have had significant limitations. Temporarily arresting the heart using drugs disrupts the hearts physiological state, and the use of ultra-high frame-rates for fluorescence image acquisition causes phototoxic cell damage. Real-time triggered imaging, synchronized to a specific phase in the cardiac-cycle, can computationally "freeze" the heart to acquire the minimal number of fluorescence images required for 3D time-lapse imaging. However, until now no solution has been able to maintain phase-lock to the same point in the cardiac cycle for more than about one hour. Our new hybrid optical gating system maintains phase-lock for up to 24 h, acquiring synchronized 3D+time video stacks of the unperturbed heart in vivo. This approach has enabled us to observe detailed developmental, structural, cellular and subcellular processes, including live cell division and cell fate tracking, in the embryonic zebrafish heart using transgenic fish lines expressing cell-specific fluorophores. We show that our approach not only provides high spatial and temporal resolution 3D-imaging, but also avoids phototoxic injury, where alternative approaches induce measurable harm. This provides superb cellular and subcellular imaging of the heart while it is beating in its normal physiological state, and opens up new and exciting opportunities for further study in the heart and other moving cellular and subcellular structures in vivo.

bioinformatics↗

bioRxiv2018

Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0

Plant-pathogenic fungi secrete effector proteins to facilitate infection. We describe extensive improvements to EffectorP, the first machine learning classifier for fungal effector prediction. EffectorP 2.0 is now trained on a larger set of effectors and utilizes a different approach based on an ensemble of classifiers trained on different subsets of negative data, offering different views on classification. EffectorP 2.0 achieves accuracy of 89%, compared to 82% for EffectorP 1.0 and 59.8% for a small size classifier. Important features for effector prediction appear to be protein size, protein net charge as well as the amino acids serine and cysteine. EffectorP 2.0 decreases the number of predicted effectors in secretomes of fungal plant symbionts and saprophytes by 40% when compared to EffectorP 1.0. However, EffectorP 1.0 retains value and combining EffectorP 1.0 and 2.0 results in a stringent classifier with low false positive rate of 9%. EffectorP 2.0 predicts significant enrichments of effectors in 12 out of 13 sets of infection-induced proteins from diverse fungal pathogens, whereas a small cysteine-rich classifier detects enrichment only in 7 out of 13. EffectorP 2.0 will fast-track prioritization of high-confidence effector candidates for functional validation and aid in improving our understanding of effector biology. EffectorP 2.0 is available at http://effectorp.csiro.au.

bioinformatics↗

bioRxiv2017

ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning

The plant apoplast is integral to intercellular signalling, transport and plant-pathogen interactions. Plant pathogens deliver effectors both into the apoplast and inside host cells, but no computational method currently exists to discriminate between these localizations. We present ApoplastP, the first method for predicting if an effector or plant protein localizes to the apoplast. ApoplastP uncovers features for apoplastic localization common to both effectors and plant proteins, namely an enrichment in small amino acids and cysteines as well as depletion in glutamic acid. ApoplastP predicts apoplastic localization in effectors with sensitivity of 75% and false positive rate of 5%, improving accuracy of cysteine-rich classifiers by over 13%. ApoplastP does not depend on the presence of a signal peptide and correctly predicts the localization of unconventionally secreted plant and effector proteins. The secretomes of fungal saprophytes, necrotrophic pathogens and extracellular pathogens are enriched for predicted apoplastic proteins. Rust pathogen secretomes have the lowest percentage of apoplastic proteins, but these are highly enriched for predicted effectors. ApoplastP pioneers apoplastic localization prediction using machine learning. It will facilitate functional studies and will be valuable for predicting if an effector localizes to the apoplast or if it enters plant cells. ApoplastP is available at http://apoplastp.csiro.au.

bioinformatics↗

bioRxiv2017

De novo assembly and phasing of dikaryotic genomes from two isolates of Puccinia coronata f. sp. avenae, the causal agent of oat crown rust

Oat crown rust, caused by the fungus Puccinia coronata f. sp. avenae (Pca), is a devastating disease that impacts worldwide oat production. For much of its life cycle, Pca is dikaryotic, with two separate haploid nuclei that may vary in virulence genotype, highlighting the importance of understanding haplotype diversity in this species. We generated highly contiguous de novo genome assemblies of two Pca isolates, 12SD80 and 12NC29, from long-read sequences. In total, we assembled 603 primary contigs for a total assembly length of 99.16 Mbp for 12SD80 and 777 primary contigs with a total length of 105.25 Mbp for 12NC29, and approximately 52% of each genome was assembled into alternate haplotypes. This revealed structural variation between haplotypes in each isolate equivalent to more than 2% of the genome size, in addition to about 260,000 and 380,000 heterozygous single-nucleotide polymorphisms in 12SD80 and 12NC29, respectively. Transcript-based annotation identified 26,796 and 28,801 coding sequences for isolates 12SD80 and 12NC29, respectively, including about 7,000 allele pairs in haplotype-phased regions. Furthermore, expression profiling revealed clusters of co-expressed secreted effector candidates, and the majority of orthologous effectors between isolates showed conservation of expression patterns. However, a small subset of orthologs showed divergence in expression, which may contribute to differences in virulence between 12SD80 and 12NC29. This study provides the first haplotype-phased reference genome for a dikaryotic rust fungus as a foundation for future studies into virulence mechanisms in Pca.\n\nImportanceDisease management strategies for oat crown rust are challenged by the rapid evolution of Puccinia coronata f. sp. avenae (Pca), which renders resistance genes in oat varieties ineffective. Despite the economic importance of understanding Pca, resources to study the molecular mechanisms underpinning pathogenicity and emergence of new virulence traits are lacking. Such limitations are partly due to the obligate biotrophic lifestyle of Pca as well as the dikaryotic nature of the genome, features that are also shared with other important rust pathogens. This study reports the first release of a haplotype-phased genome assembly for a dikaryotic fungal species and demonstrates the amenability of using emerging technologies to investigate genetic diversity in populations of Pca.

genomics↗