Biology subjects

Matthews, H.

Publications and source records attributed to Matthews, H..

18 recordsLinked to original sources

bioRxiv2026

Evaluating Spike Antigenicity across Endemic Human Coronavirus Models using Flow Virometry

While SARS-CoV-2 research has advanced rapidly since COVID-19, endemic human coronaviruses (HCoVs) remain comparatively understudied. Tools to phenotype spike (S), the primary antigenic target on coronaviruses, at the single-virion level could improve vaccine design by capturing variation in epitope availability and spike abundance. Here, we establish a calibrated flow virometry (FV) platform to quantify S antigenicity on native endemic (HCoV-229E, HCoV-OC43) and epidemic (SARS-CoV-2) coronaviruses directly in cell culture supernatants. FV revealed cell line-dependent differences in S antigenicity, including receptor-induced changes in epitope accessibility. Comparison of virion-associated S with recombinant stabilized S by ELISA and biolayer interferometry showed consistent binding for HCoV-OC43, MERS-CoV, and SARS-CoV-2, but differences for HCoV-229E, with FV resolving heterogeneity not captured by bulk assays. Finally, FV showed that HCoV-229E from patient-derived air-liquid interface cultures exhibited reduced antibody binding and distinct S antigenicity compared to cell line-derived virions. Together, these findings establish FV as a platform for single-virion analysis of HCoV antigenicity.

microbiology↗

bioRxiv2026

Evaluating the Utility of a Nanoscale Flow Cytometer for Detection of Surface Proteins on HIV and Extracellular Vesicles

BackgroundFlow virometry (FV) - the application of flow cytometry to viruses - has historically been hindered by the inability of cytometers to detect particles below [~]300 nm in size. However, advances in optics and fluidics have enabled cytometers primarily designed for cells to detect viruses and extracellular vesicles (EVs) through light scatter alone. In 2024, the CytoFLEX nano was released, marketed for the detection of particles as small as 40 nm; however, its performance has yet to be compared to a conventional instrument for FV. MethodsFV was utilized to evaluate performance of the CytoFLEX nano and a conventional flow cytometer (CytoFLEX S). Instrument scatter sensitivity was assessed using NIST beads (40-400 nm), and virus stocks [human immunodeficiency virus (HIV), human coronaviruses (HCoV)-229E and HCoV-OC43]. For fluorescence analysis, HIV virions were stained with PE- and BV421-conjugated antibodies targeting virion incorporated proteins (CD38, CD44), individually and in combination. Finally, HIV stocks were labeled with antibodies against the envelope (Env) glycoprotein and tetraspanins (CD9, CD81) to assess EVs within virus preparations. ResultsCompared to the CytoFLEX S, the CytoFLEX nano exhibited substantially greater scatter sensitivity, reflected by up to 50-fold higher signal-to-noise ratio across NIST-traceable beads and virus samples. This enabled clearer resolution of smaller populations, including bead populations < 70 nm that were undetectable on the CytoFLEX S, as well as improved resolution across all viruses. While both instruments reliably detected stained proteins on HIV virions, the CytoFLEX nano revealed a distinct population of tetraspanin-positive EVs within HIV stocks that was undetected on the CytoFLEX S. Using GFP-tagged HIV, we identified Env+ particles lacking GFP, indicating the presence of Env on EVs. ConclusionsThe CytoFLEX nano exhibited markedly improved scatter sensitivity compared to the CytoFLEX S, improving detection of viruses and enabling detection of EV populations that were undetectable on the conventional instrument. While both platforms performed similarly for surface protein labeling, additional consideration of spectral overlap was needed with the CytoFLEX nano in multicolor experiments. These findings highlight that the complementary strengths of each platform can be utilized to more comprehensively characterize virus and EV populations, providing new opportunities to investigate nanoparticle heterogeneity.

microbiology↗

bioRxiv2024

Mapping genes for human face shape: exploration of univariate phenotyping strategies

Human facial shape, while strongly heritable, involves both genetic and structural complexity, necessitating precise phenotyping for accurate assessment. Common phenotyping strategies include simplifying 3D facial features into univariate traits such as anthropometric measurements (e.g., inter-landmark distances), unsupervised dimensionality reductions (e.g., principal component analysis (PCA) and auto-encoder (AE) approaches), and assessing resemblance to particular facial gestalts (e.g., syndromic facial archetypes). This study provides a comparative assessment of these strategies in genome-wide association studies (GWASs) of 3D facial shape. Specifically, we investigated inter-landmark distances, PCA and AE-derived latent dimensions, and facial resemblance to random, extreme, and syndromic gestalts within a GWAS of 8,426 individuals of recent European ancestry. Inter-landmark distances exhibit the highest SNP-based heritability as estimated via LD score regression, followed by AE dimensions. Conversely, resemblance scores to extreme and syndromic facial gestalts display the lowest heritability, in line with expectations. Notably, the aggregation of multiple GWASs on facial resemblance to random gestalts reveals the highest number of independent genetic loci. This novel, easy-to-implement phenotyping approach holds significant promise for capturing genetically relevant morphological traits derived from complex biomedical imaging datasets, and its applications extend beyond faces. Nevertheless, these different phenotyping strategies capture different genetic influences on craniofacial shape. Thus, it remains valuable to explore these strategies individually and in combination to gain a more comprehensive understanding of the genetic factors underlying craniofacial shape and related traits. Author SummaryAdvancements linking variation in the human genome to phenotypes have rapidly evolved in recent decades and have revealed that most human traits are influenced by genetic variants to at least some degree. While many traits, such as stature, are straightforward to acquire and investigate, the multivariate and multipartite nature of facial shape makes quantification more challenging. In this study, we compared the impact of different facial phenotyping approaches on gene mapping outcomes. Our findings suggest that the choice of facial phenotyping method has an impact on apparent trait heritability and the ability to detect genetic association signals. These results offer valuable insights into the importance of phenotyping in genetic investigations, especially when dealing with highly complex morphological traits.

genetics↗

bioRxiv2024

Automated 3D Landmarking of the Skull: A Novel Approach for Craniofacial Analysis

Automatic dense 3D surface registration is a powerful technique for comprehensive 3D shape analysis that has found a successful application in human craniofacial morphology research, particularly within the mandibular and cranial vault regions. However, a notable gap exists when exploring the frontal aspect of the human skull, largely due to the intricate and unique nature of its cranial anatomy. To better examine this region, this study introduces a simplified single-surface craniofacial bone mask comprising 9,999 quasi-landmarks, which can aid in the classification and quantification of variation over human facial bone surfaces. Automatic craniofacial bone phenotyping was conducted on a dataset of 31 skull scans obtained through cone-beam computed tomography (CBCT) imaging. The MeshMonk framework facilitated the non-rigid alignment of the constructed craniofacial bone mask with each individual target mesh. To gauge the accuracy and reliability of this automated process, 20 anatomical facial landmarks were manually placed three times by three independent observers on the same set of images. Intra- and inter-observer error assessments were performed using root mean square (RMS) distances, revealing consistently low scores. Subsequently, the corresponding automatic landmarks were computed and juxtaposed with the manually placed landmarks. The average Euclidean distance between these two landmark sets was 1.5mm, while centroid sizes exhibited noteworthy similarity. Intraclass coefficients (ICC) demonstrated a high level of concordance (>0.988), and automatic landmarking showing significantly lower errors and variation. These results underscore the utility of this newly developed single-surface craniofacial bone mask, in conjunction with the MeshMonk framework, as a highly accurate and reliable method for automated phenotyping of the facial region of human skulls from CBCT and CT imagery. This craniofacial template bone mask expansion of the MeshMonk toolbox not only enhances our capacity to study craniofacial bone variation but also holds significant potential for shedding light on the genetic, developmental, and evolutionary underpinnings of the overall human craniofacial structure.

bioinformatics↗

bioRxiv2023

Syndrome-informed phenotyping identifies a polygenic background for achondroplasia-like facial variation in the general population

Human craniofacial shape is highly variable yet highly heritable with genetic variants interacting through multiple layers of development. Here, we hypothesize that Mendelian phenotypes represent the extremes of a phenotypic spectrum and, using achondroplasia as an example, we introduce a syndrome-informed phenotyping approach to identify genomic loci associated with achondroplasia-like facial variation in the normal population. We compared three-dimensional facial scans from 43 individuals with achondroplasia and 8246 controls to calculate achondroplasia-like facial scores. Multivariate GWAS of the control scores revealed a polygenic basis for normal facial variation along an achondroplasia-specific shape axis, identifying genes primarily involved in skeletal development. Jointly modeling these genes in two independent control samples showed craniofacial effects approximating the characteristic achondroplasia phenotype. These findings suggest that both complex and Mendelian genetic variation act on the same developmentally determined axes of facial variation, providing new insights into the genetic intersection of complex traits and Mendelian disorders.

genetics↗

bioRxiv2023

Connecting Thiamine Availability to the Microbial Community Composition in Chinook Salmon Spawning Habitats of the Sacramento River Basin

Thiamine Deficiency Complex (TDC) is a major emerging threat to global populations of culturally and economically important populations of salmonids. Salmonid eggs and embryos can assimilate exogenous thiamine, and evidence suggests that microbial communities in benthic environments can produce substantial amounts of thiamine. We therefore hypothesize that microbially produced thiamine in both riverine surface water and hyporheic zones could serve to rescue early life stages of salmonids suffering from TDC. The distributions of thiamine and its metabolically related compounds (dTRCs) have never been determined in freshwater systems. Similarly, the microbial cycling of these compounds has never been investigated. Here we determine that all dTRCs are present in femto-picomolar concentrations across diverse salmon spawning habitats in Californias Sacramento River system. We observed that thiamine concentrations in the Sacramento River are orders of magnitude lower than marine environments, indicating substantial differences in thiamine cycling between these two environments. Our data suggest that the hyporheic zone is likely the source of thiamine to the overlying surface water. Temporal variations in dTRC concentration were observed where highest concentrations were seen when Chinook salmon were actively spawning. Significant correlations were identified between the richness of differentially abundant ASVs and dTRC concentrations. The influence of these ASVs on dTRC concentrations provide evidence of dTRC cycling by microbes in the hyporheic zone, which would influence the conditions where embryonic salmon incubate. Together, these results indicate a connection between microbial communities in freshwater habitats and the availability of thiamine to spawning TDC-impacted California Central Valley Chinook salmon.

microbiology↗

bioRxiv2023

Oncogenic Ras deregulates cell-substrate interactions during mitotic rounding and respreading to alter cell division orientation

Oncogenic Ras has been shown to change the way cancer cells divide by increasing the forces generated during mitotic rounding. In this way, RasV12 enables cancer cells to divide across a wider range of mechanical environments than normal cells. Here, we identify a further role for oncogenic Ras-ERK signalling in division by showing that RasV12 expression alters the shape, division orientation and respreading dynamics of cells as they exit mitosis, in a manner that depends on MEK and ERK. Many of these effects appear to result from the impact of RasV12 signalling on actomyosin contractility, since RasV12 induces the severing of retraction fibres that normally guide spindle positioning and provide a memory of the interphase cell shape. In support of this idea, the RasV12 phenotype is reversed by inhibition of actomyosin contractility, and can be mimicked by the loss of cell-substrate adhesion during mitosis. Thus, the induction of oncogenic Ras-ERK signalling leads to rapid changes in division orientation that, along with the effects of RasV12 on cell growth and cell cycle progression, are likely to disrupt epithelial tissue organisation and contribute to cancer dissemination.

cell biology↗

bioRxiv2022

A 3D Clinical Face Phenotype Space of Genetic Syndromes using a Triplet-Based Singular Geometric Autoencoder

Clinical diagnosis of syndromes benefits strongly from objective facial phenotyping. This study introduces a novel approach to enhance clinical diagnosis through the development and exploration of a low-dimensional metric space referred to as the clinical face phenotypic space (CFPS). As a facial matching tool for clinical genetics, such CFPS can enhance clinical diagnosis. It helps to interpret facial dysmorphisms of a subject by placing them within the space of known dysmorphisms. In this paper, a triplet loss-based autoencoder developed by geometric deep learning (GDL) is trained using multi-task learning, which combines supervised and unsupervised learning approaches. Experiments are designed to illustrate the following properties of CFPSs that can aid clinicians in narrowing down their search space: a CFPS can 1) classify syndromes accurately, 2) generalize to novel syndromes, and 3) preserve the relatedness of genetic diseases, meaning that clusters of phenotypically similar disorders reflect functional relationships between genes. The proposed model consists of three main components: an encoder based on GDL optimizing distances between groups of individuals in the CFPS, a decoder enhancing classification by reconstructing faces, and a singular value decomposition layer maintaining orthogonality and optimal variance distribution across dimensions. This allows for the selection of an optimal number of CFPS dimensions as well as improving the classification capacity of the CFPS.

bioengineering↗

bioRxiv2022

A common cis-regulatory variant impacts normal-range and disease-associated human facial shape through regulation of PKDCC during chondrogenesis

Genome-wide association studies (GWAS) identified thousands of genetic variants linked to phenotypic traits and disease risk. However, mechanistic understanding of how GWAS variants influence complex morphological traits and can, in certain cases, simultaneously confer normal-range phenotypic variation and disease predisposition, is still largely lacking. Here, we focus on rs6740960, a single nucleotide polymorphism (SNP) at the 2p21 locus, which in GWAS studies has been associated both with normal-range variation in jaw shape and with an increased risk of non-syndromic orofacial clefting. Using in vitro derived embryonic cell types relevant for human facial morphogenesis, we show that this SNP resides in an enhancer that regulates chondrocytic expression of PKDCC - a gene encoding a tyrosine kinase involved in chondrogenesis and skeletal development. In agreement, rs6740960 SNP is sufficient to confer a large difference in acetylation of its cognate enhancer preferentially in chondrocytes. By deploying dense landmark morphometric analysis of skull elements in mice, we show that changes in Pkdcc dosage are associated with quantitative changes in maxilla, mandible, and palatine bone shape that are concordant with the facial phenotypes and disease predisposition seen in humans. We further demonstrate that the frequency of the rs6740960 variant strongly deviated among different human populations, and that the activity of its cognate enhancer diverged in hominids. Our study provides a mechanistic explanation of how a common SNP can mediate normal-range and disease-associated morphological variation, with implications for the evolution of human facial features.

developmental biology↗

bioRxiv2022

Precise modulation of transcription factor levels reveals drivers of dosage sensitivity

Transcriptional regulation displays extensive robustness, but human genetics indicate sensitivity to transcription factor (TF) dosage. Reconciling such observations requires quantitative studies of TF dosage effects at trait-relevant ranges, which are lacking to date. TFs play central roles in both normal-range and disease-associated variation in facial morphology; we therefore developed an approach to precisely modulate TF levels in human facial progenitors and applied it to SOX9, a TF associated with craniofacial variation and disease (Pierre Robin Sequence, PRS). We found that most SOX9-dependent regulatory elements (REs) are buffered against small decreases in SOX9 dosage, but REs directly and primarily regulated by SOX9 show heightened sensitivity to SOX9 dosage; these RE responses predict gene expression responses. Sensitive REs and genes underlie the vulnerability of chondrogenesis and PRS-like craniofacial shape variation to SOX9 dosage perturbation. We propose that such REs and genes drive the sensitivity of specific phenotypes to TF dosage, while buffering of other genes leads to robust, nonlinear dosage-to-phenotype relationships.

genetics↗

bioRxiv2021

Dynamics of DNA replication during male gametogenesis in the malaria parasite Plasmodium falciparum

Malaria parasites undergo a single phase of sexual reproduction in their complex lifecycle, during which they cycle between mosquito and vertebrate hosts. Sexual reproduction occurs only at the point when parasites move into the mosquito host. It involves specialised, sexually committed cells called gametocytes, which develop very rapidly into mature gametes and then mate inside the mosquito midgut. The gamete development process is unique, involving unprecedentedly fast replication and cell division to produce male gametes. A single male gametocyte replicates its [~]23Mb genome three times over to produce 8 genomes, segregates these into newly-assembled flagellated gamete cells and releases them to seek out female gametes, all within [~]15 minutes. Here, for the first time, we use fluorescent labelling of de novo DNA synthesis to follow this process at the whole-cell and single-molecule levels, yielding several novel observations. Firstly, we confirm that no DNA replication occurs before gametogenesis is triggered, although the origin recognition complex protein Orc1 is abundant even in immature gametocytes. Secondly, between repeated rounds of DNA replication there is no detectable karyokinesis - in contrast to the repeated replicative rounds that occur in asexual schizonts. Thirdly, cytokinesis is clearly uncoupled from DNA replication, and can occur even if replication fails, implying a lack of cell cycle checkpoints. Finally the single-molecule dynamics of DNA replication are entirely different from those in asexual schizonts.

microbiology↗

bioRxiv2021

Human immunodeficiency reveals GIMAP5 as lymphocyte-specific regulator of senescence

Elucidating the molecular basis of immunodeficiency diseases is a powerful approach to discovering new immunoregulatory pathways in humans. Here we report 10 affected individuals from 4 families with a new immunodeficiency disease comprising of severe progressive lymphopenia, autoimmunity, immunodeficiency, and liver disease due to recessive loss of function variants in "GTPase of immunity-associated proteins" protein 5 (GIMAP5). We show that the disease involves the progressive loss of naive T lymphocytes and a corresponding increase in antigen-experienced, but poorly functional and replicatively senescent T cells. In vivo treatment of Gimap5-deficient mice with rapamycin (an inhibitor of mTORC1) significantly restores the fraction of naive T lymphocytes. Furthermore, a GIMAP5-deficient human patient who was treated with rapamycin (sirolimus) showed a remarkable reduction in spleen/lymph node size. Together, these observations reveal that GIMAP5 plays a critical role in lymphocyte metabolism which is essential for senescence prevention and immune competence, suggesting that an inhibitor of mTORC1 could be a valuable clinical intervention in treating patients deficient for GIMAP5.

immunology↗

bioRxiv2020

Impact of low-frequency coding variants on human facial shape

The contribution of low-frequency variants to the genetic architecture of normal-range facial traits is unknown. We studied the influence of low-frequency coding variants (MAF < 1%) on multi-dimensional facial shape phenotypes in 2329 healthy Europeans. We used MultiSKAT o scan the exome for face-associated low-frequency variants in a gene-based manner. Seven genes (AR, CARS2, FTSJ1, HFE, LTB4R, TELO2, NECTIN1) were significantly associated with shape variation of the cheek, chin, nose and mouth areas. These genes displayed a wide range of phenotypic effects, with some impacting the full face and others affecting localized regions. The missense variant rs142863092 in NECTIN1 had a significant effect on chin morphology, and was predicted bioinformatically to be deleterious. NECTIN1 is an established craniofacial gene that underlies a human syndrome that includes a mandibular phenotype. We further showed that nectin1a mutations can affect zebrafish craniofacial development, with the size and shape of the mandibular cartilage altered in mutant animals. These Findings highlighted the role of low-frequency coding variants in normal-range facial variation.

genetics↗

bioRxiv2019

Lead optimisation of dehydroemetine for repositioned use in malaria

Drug repositioning offers an effective alternative to de novo drug design to tackle the urgent need for novel anti-malarial treatments. The anti-amoebic compound, emetine dihydrochloride, has been identified as a potent in-vitro inhibitor of the multi-drug resistant strain K1 of Plasmodium falciparum (IC50: 47 nM + 2.1 nM). 2,3-dehydroemetine, a synthetic analogue of emetine dihydrochloride has been claimed to have less cardiotoxic effects than emetine. The structures of two diastereoisomers of 2,3-dehydroemetine were modelled on the reported emetine binding site on cryo-EM structure 3J7A and it was found that (-)-R,S-dehydroemetine mimicked the bound pose of emetine more closely than (-)-S,S-dehydroisoemetine. (-)-R,S-dehydroemetine was also found to be highly potent against the multi-drug resistant K1 strain of P. falciparum in comparison with (-)-S,S-dehydroisoemetine, which loses its potency due to the change of configuration at C-1. In addition to its effect on the asexual erythrocytic stages of P. falciparum, the compounds exhibited gametocidal properties with no cross-resistance against any of the multi-drug resistant strains tested. Drug interaction studies showed (-)-R,S-dehydroemetine to have synergistic antimalarial activity with atovaquone and proguanil. Emetine dihydrochloride, and (-)-R,S-dehydroemetine failed to show any inhibition of the hERG potassium channel and displayed atovoquone-like activity on the mitochondrial membrane potential.

microbiology↗

bioRxiv2019

MeshMonk: Open-source large-scale intensive 3D phenotyping

In the post-genomics era, an emphasis has been placed on disentangling genotype-phenotype connections so that the biological basis of complex phenotypes can be understood. However, our ability to efficiently and comprehensively characterize phenotypes lags behind our ability to characterize genomes. Here, we report a toolbox for fast and reproducible high-throughput dense phenotyping of 3D images. Given a target image, a rigid registration is first used to orient a template to the target surface, then the template is transformed further to fit the specific shape of the target using a non-rigid transformation model. As validation, we used N = 41 3D facial images registered with MeshMonk and manually landmarked at 19 locations. We demonstrate that the MeshMonk registration is accurate, with 0.62 mm as the average root mean squared error between the manual and automatic placements and no variation in landmark position or centroid size significantly attributable to landmarking method used. Though validated using 19 landmarks for comparison with traditional methods, MeshMonk allows for automatic dense phenotyping, thus facilitating more comprehensive investigations of 3D shape variation. This expansion opens up an exciting avenue of study in assessing genomic and phenomic data to better understand the genetic contributions to complex morphological traits.

evolutionary biology↗

bioRxiv2018

Human IL-2 receptor β mutations associated with defects in immunity and peripheral tolerance

Interleukin-2, which conveys essential signals for effective immunity and immunological tolerance, operates through a heterotrimeric receptor comprised of , {beta} and {gamma} chains. Genetic deficiency of the or {gamma} chain causes debilitating disease. Here we identify human interleukin-2 receptor (IL-2R) {beta} chain (CD122) gene defects as a cause of life-threatening dysregulation of immunity and peripheral tolerance. We report homozygous mutations in the human IL-2R{beta} gene from four consanguineous families, comprising either recessive missense mutations in five children or an early stop-gain mutation in two deceased fetuses and a premature neonate. All patients surviving to childhood presented with autoantibodies, hypergammaglobulinemia, bowel inflammation, and dermatological abnormalities, as well as cytomegalovirus disease in most cases. Patient T lymphocytes lacked surface expression of IL-2R{beta} and were unable to normally respond to high-dose IL-2 stimulation. By contrast, patient natural killer (NK) cells retained partial IL-2R{beta} expression and cytotoxic function. IL-2R{beta} loss of function was recapitulated in a recombinant system, in which endoplasmic reticulum sequestration was revealed as the mechanism by which certain missense mutations cause disease. Hematopoietic stem cell transplant resulted in resolution of clinical symptoms in one patient. The hypomorphic nature of this disease highlights the significance of variable IL-2R{beta} expression in different lymphocyte subsets as a means of modulating immune function. Insights from these patients can inform the development of IL-2-based therapeutics for immunological diseases and cancer.

immunology↗

bioRxiv2018

Marker-based watershed transform method for fully automatic mandibular segmentation from low-dose CBCT images

Introduction Introduction Methods and materials Results Discussion Conclusions Funding References Three-dimensional mandibular models are useful for planning maxillofacial surgery and orthodontic treatment.1,2 In studies of growth, mandibular models are important for assessing morphological changes over time.3,4 Such models are typically obtained from conventional computed tomography (CT), using high radiation dose to capture fine detail of the bony structure. Cone beam computed tomography (CBCT) shows promise for oral and craniofacial imaging applications due to lower radiation dose, lower cost and shorter acquisition time compared to CT. However, CBCT images have lower contrast and higher levels of ...

bioinformatics↗

bioRxiv2018

A high-throughput in vitro translation screen towards discovery of novel antimalarial protein translation inhibitors

Drugs that target protein synthesis are well-validated for use as antimicrobials, yet specific high throughput (HTP) methods to screen for those targeting malaria are lacking. Here, we have developed a cell free in vitro translation (IVT) assay for the human malaria parasite, Plasmodium falciparum, which reconstitutes the native parasite protein translation machinery. Combining clarified IVT lysate with a click beetle luciferase reporter gene fused to untranslated regions of Pf histidine-rich proteins (hrp)-2 and 3, the HTP IVT assay accurately reports protein translation in a 384-well plate format using a standard spectrofluorometer. We validate the assay as effective in detecting compounds targeting the ribosome, ribosome co-factors (elongation factor 2) and cytosolic tRNA synthetases as well as its ability to find translation inhibitors in a blind screen using a high-density assay format amenable for high throughput. This demonstrates an ability to reconstitute the breadth of the parasite eukaryotic protein translation machinery in vitro and use it as a powerful platform for antimalarial drug discovery.

microbiology↗