Biology subjects

Boyd, R. J.

Publications and source records attributed to Boyd, R. J..

8 recordsLinked to original sources

bioRxiv2026

Proteomic identification and validation of novel neuronal EV-based markers for Alzheimers disease biomarker discovery

Extracellular vesicles (EVs) circulate in biofluids and carry tissue-specific molecular cargo, offering significant potential for the discovery of minimally invasive biomarkers. However, translation in neurodegenerative diseases has been hindered by the lack of validated neuronal EV surface markers that enable selective isolation from plasma. We hypothesized that proteomic profiling of EVs released from human induced pluripotent stem cell (hiPSC)-derived neurons would identify 1. robust Alzheimers disease (AD)-associated signatures that reflect disease pathogenesis, and 2. surface-accessible neuronal markers capable of enriching disease-relevant cargo. Neurons differentiated from AD patients and age-matched cognitively normal (CN) individuals were used to isolate EVs, which were characterized and analyzed by LC-MS proteomics in both total and membrane-enriched fractions. Proteomic profiling identified numerous dysregulated proteins, with a subset validated across independent AD datasets. We identified CNTNAP2 and STX1B as neuronal, brain-enriched EV surface proteins accessible for selective capture and confirmed their presence in EVs from post-mortem human brain, supporting them as bona fide brain-derived EV markers. Immuno-isolation of plasma EVs showed that CNTNAP2-positive EVs had a robust AD-associated increase in phosphorylated tau, identifying CNTNAP2 as a highly discriminative brain-derived EV marker and supporting its potential for blood-based AD diagnostics. Graphical AbstractPrevious studies indicate that extracellular vesicles (EVs) released from neurons carry disease-relevant cargo, yet the search for the optimal neuronal surface markers for the selective isolation of EVs pertinent to Alzheimers disease (AD) from blood is ongoing. To address this need, we performed proteomic profiling of EVs derived from hiPSC-neurons (iNEVs) of AD patients and cognitively normal individuals (CN). LC-MS analysis of whole and membrane-enriched EV fractions revealed robust protein dysregulation and identified CNTNAP2 and STX1B as surface-exposed neuronal EV proteins, confirmed in human brain-derived EVs (BDEVs). Immuno-isolation of plasma EVs demonstrated that CNTNAP2-positive EVs are enriched for phosphorylated tau in AD, whereas the previously used markers; NrCAM and ATP1A3-positive EVs showed limited discrimination. These findings establish a robust framework for proteomic discovery and nominate CNTNAP2 as a promising EV selection marker for blood-based AD diagnostics. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/720870v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@754b45org.highwire.dtl.DTLVardef@a0a566org.highwire.dtl.DTLVardef@cb0134org.highwire.dtl.DTLVardef@1bc0275_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Neuronal titration of Snca via enhancer disruption mitigates disease onset in a Parkinson's disease mouse model

-synuclein (SNCA) is the greatest genetic risk factor for sporadic Parkinsons Disease (PD). Misfolding and overexpression of SNCA underlie pathognomonic features of PD, including SNCA aggregates and midbrain dopaminergic (mbDA) neurodegeneration. We recently identified an SNCA intronic sequence that harbors variation associated with PD risk and demonstrated its role as a neuronal cis-regulatory element (CRE). Here, we engineered a mouse model lacking this sequence, which exhibits significantly reduced Snca transcription in mbDA neurons. Employing a battery of motor, molecular, and histological assays in an established mouse model of PD, we demonstrate that mice lacking this Snca enhancer are protected against PD-relevant histopathology and motor impairments. By targeting a cell-dependent CRE to diminish PD onset/progression in mice, we introduce a potentially powerful therapeutic avenue for PD.

genetics↗

bioRxiv2024

Optimized CRISPR inhibition and activation opens key avenues for systematic biological exploration in zebrafish.

The application of CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) technologies in zebrafish has the potential to expand its capacity for the study of gene function significantly. We report proof-of-principle data evaluating transient expression of a codon optimized CRISPRi/a system for zebrafish across established pigmentary and growth phenotypes. A codon-optimized and catalytically inactive cas9 gene (dcas9) was cloned upstream of codon-optimized Kruppel associated box (KRAB) and methyl-CpG binding protein 2 (MeCP2) for CRISPRi, and VP64 for CRISPRa. To validate CRISPRi, we targeted key genes in melanocyte differentiation (sox10 and mitfa); and melanin production (tyrosinase; tyr). Microinjection of CRISPRi mRNA and single guide RNAs (sgRNAs) targeting the tyr promoter or 5-UTR resulted in larvae with hypopigmented epidermal melanocytes. Similarly, CRISPRi targeting of the sox10 or mitfa promoters results in hypopigmentation of epidermal melanocytes consistent with their roles upstream of tyr, and the role of sox10 in activation of mitfa. Finally, we tested both CRISPRi/a to modulate a single gene to yield hypomorphic and hypermorphic effects, selecting mrap2a as our target. This gene regulates energy homeostasis and somatic growth via inhibition of the melanocortin 4 receptor gene (mc4r). We show that inactivating or activating mrap2a with CRISPRi/a significantly decreases or increases larval body length, respectively. We demonstrate that CRISPRi/a can modulate control of zebrafish gene expression, facilitating efficient assay of candidate gene function and disease relevance.

genetics↗

bioRxiv2023

A Functional Schizophrenia-associated genetic variant near the TSNARE1 and ADGRB1 genes.

Recent collaborative genome wide association studies (GWAS) have identified >200 independent loci contributing to risk for schizophrenia (SCZ). The genes closest to these loci have diverse functions, supporting the potential involvement of multiple relevant biological processes; yet there is no direct evidence that individual variants are functional or directly linked to specific genes. Nevertheless, overlap with certain epigenetic marks suggest that most GWAS-implicated variants are regulatory. Based on the strength of association with SCZ and the presence of regulatory epigenetic marks, we chose one such variant near TSNARE1 and ADGRB1, rs4129585, to test for functional potential and assay differences that may drive the pathogenicity of the risk allele. We observed that the variant-containing sequence drives reporter expression in relevant neuronal populations in zebrafish. Next, we introduced each allele into human induced pluripotent cells and differentiated 4 isogenic clones homozygous for the risk allele and 5 clones homozygous for the non-risk allele into neural precursor cells. Employing RNA-seq, we found that the two alleles yield significant transcriptional differences in the expression of 109 genes at FDR <0.05 and 259 genes at FDR <0.1. We demonstrate that these genes are highly interconnected in pathways enriched for synaptic proteins, axon guidance, and regulation of synapse assembly. Exploration of genes near rs4129585 suggests that this variant does not regulate TSNARE1 transcripts, as previously thought, but may regulate the neighboring ADGRB1, a regulator of synaptogenesis. Our results suggest that rs4129585 is a functional common variant that functions in specific pathways likely involved in SCZ risk.

genetics↗

bioRxiv2023

Evaluating the mouse neural precursor line, SN4741, as a suitable proxy for midbrain dopaminergic neurons

To overcome the ethical and technical limitations of in vivo human disease models, the broader scientific community frequently employs model organism-derived cell lines to investigate of disease mechanisms, pathways, and therapeutic strategies. Despite the widespread use of certain in vitro models, many still lack contemporary genomic analysis supporting their use as a proxy for the affected human cells and tissues. Consequently, it is imperative to determine how accurately and effectively any proposed biological surrogate may reflect the biological processes it is assumed to model. One such cellular surrogate of human disease is the established mouse neural precursor cell line, SN4741, which has been used to elucidate mechanisms of neurotoxicity in Parkinson disease for over 25 years. Here, we are using a combination of classic and contemporary genomic techniques - karyotyping, RT-qPCR, single cell RNA-seq, bulk RNA-seq, and ATAC-seq - to characterize the transcriptional landscape, chromatin landscape, and genomic architecture of this cell line, and evaluate its suitability as a proxy for midbrain dopaminergic neurons in the study of Parkinson disease. We find that SN4741 cells possess an unstable triploidy and consistently exhibits low expression of dopaminergic neuron markers across assays, even when the cell line is shifted to the non-permissive temperature that drives differentiation. The transcriptional signatures of SN4741 cells suggest that they are maintained in an undifferentiated state at the permissive temperature and differentiate into immature neurons at the non-permissive temperature; however, they may not be dopaminergic neuron precursors, as previously suggested. Additionally, the chromatin landscapes of SN4741 cells, in both the differentiated and undifferentiated states, are not concordant with the open chromatin profiles of ex vivo, mouse E15.5 forebrain- or midbrain-derived dopaminergic neurons. Overall, our data suggest that SN4741 cells may reflect early aspects of neuronal differentiation but are likely not a suitable a proxy for dopaminergic neurons as previously thought. The implications of this study extend broadly, illuminating the need for robust biological and genomic rationale underpinning the use of in vitro models of molecular processes.

genetics↗

bioRxiv2021

Characterization and computational simulation of human Syx, a RhoGEF implicated in glioblastoma

Structural discovery of guanine nucleotide exchange factor (GEF) protein complexes is likely to become increasingly relevant with the development of new therapeutics targeting small GTPases and development of new classes of small molecules that inhibit protein-protein interactions. Syx (also known as PLEKHG5 in humans) is a RhoA GEF implicated in the pathology of glioblastoma (GBM). Here we investigated protein expression and purification of ten different human Syx constructs and performed biophysical characterizations and computational studies that provide insights into why expression of this protein was previously intractable. We show that human Syx can be expressed and isolated and Syx is folded as observed by circular dichroism (CD) spectroscopy and actively binds to RhoA as determined by co-elution during size exclusion chromatography (SEC). This characterization may provide critical insights into the expression and purification of other recalcitrant members of the large class of oncogenic -- Diffuse B-cell lymphoma (Dbl) homology GEF proteins. In addition, we performed detailed homology modeling and molecular dynamics simulations on the surface of a physiologically realistic membrane. These simulations reveal novel insights into GEF activity and allosteric modulation by the plekstrin homology (PH) domain. These newly revealed interactions between the GEF PH domain and the membrane embedded region of RhoA support previously unexplained experimental findings regarding the allosteric effects of the PH domain from numerous activity studies of Dbl homology GEF proteins. This work establishes new hypotheses for structural interactivity and allosteric signal modulation in Dbl homology RhoGEFs.

biochemistry↗

bioRxiv2021

The Structure of ChAdOx1/AZD-1222 Reveals Interactions with CAR and PF4 with Implications for Vaccine-induced Immune Thrombotic Thrombocytopenia

Adenovirus derived vectors, based on chimpanzee adenovirus Y25 (ChAdOx1) and human adenovirus type 26 are proving critical in combatting the 2019 SARS-CoV-2 pandemic. Following emergency use authorisation, scale up in vaccine administration has inevitably revealed vaccine related adverse effects; too rare to observe even in large Phase-III clinical trials. These include vaccine-induced thrombotic thrombocytopenia (VITT), an ultra-rare adverse event in which patients develop life-threatening blood clots 5-24 days following vaccination. To investigate vector-host interactions of ChAdOx1 underpinning VITT we solved the structure of the ChAdOx1 capsid by CryoEM, and the structure of the primary receptor tropism determining fiber-knob protein by crystallography. These structural insights have enabled us to unravel key protein interactions involved in ChAdOx1 cell entry and a possible means by which it may generate misplaced immunity to platelet factor 4 (PF4), a protein involved in coagulation. We use in vitro cell binding assays to show that the fiber-knob protein uses coxsackie and adenovirus receptor (CAR) as a high affinity binding partner, while it does not form a stable interface with CD46. Computational simulations identified a putative mechanism by which the ChAdOx1 capsid interacts with PF4 by binding in the spaces between hexon proteins, with downstream implications for the causes of VITT. SummaryWe present the structure of the ChAdOx1 viral vector, derived from chimpanzee adenovirus Y25 at 4.2[A] resolution1. ChAdOx1 is in global use in the AstraZeneca vaccine, ChAdOx1 nCoV-19/AZD-1222, to combat the SARS-CoV-2 coronavirus pandemic. Recently observed, rare, adverse events make detailed mechanistic understanding of this vector key to informing proper treatment of affected patients and the development of safer viral vectors. Here, we determine a primary mechanism ChAdOx1 uses to attach to cells is coxsackie and adenovirus receptor (CAR), a protein which is identical in humans and chimpanzees. We demonstrate the vector does not form a stable CD46 interaction, a common species B adenovirus receptor, via its primary attachment protein. Further, we reveal the surface of the ChAdOx1 viral capsid has a strong electronegative potential. Molecular simulations suggest this charge, together with shape complementarity, are a mechanism by which an oppositely charged protein, platelet factor 4 (PF4) may bind the vector surface. PF4 is a key protein involved in the formation of blood clots2, and the target of auto-antibodies in heparin-induced immune thrombotic thrombocytopenia (HITT)3, an adverse reaction to heparin therapy which presents similarly to vaccine-induced immune thrombotic thrombocytopenia (VITT), a rare complication of ChAdOx1 nCoV-19 vaccination4-6. We propose a mechanism in which the ChAdOx1-PF4 complex may stimulate the production of antibodies against PF4, leading to delayed blood clot formation, as observed in VITT.

molecular biology↗

bioRxiv2021

occAssess: An R package for assessing potential biases in species occurrence data

Species occurrence records from a variety of sources are increasingly aggregated into heterogeneous databases and made available to ecologists for immediate analytical use. However, these data are typically biased, i.e. they are not a probability sample of the target population of interest, meaning that the information they provide may not be an accurate reflection of reality. It is therefore crucial that species occurrence data are properly scrutinised before they are used for research. In this article, we introduce occAssess, an R package that enables straightforward screening of species occurrence data for potential biases. The package contains a number of discrete functions, each of which returns a measure of the potential for bias in one or more of the taxonomic, temporal, spatial and environmental dimensions. Users can opt to provide a set of time periods into which the data will be split; in this case separate outputs will be provided for each period, making the package particularly useful for assessing the suitability of a dataset for estimating temporal trends in species distributions. The outputs are provided visually (as ggplot2 objects) and do not include a formal recommendation as to whether data are of sufficient quality for any given inferential use. Instead, they should be used as ancillary information and viewed in the context of the question that is being asked, and the methods that are being used to answer it. We demonstrate the utility of occAssess by applying it to data on two key pollinator taxa in South America: leaf-nosed bats (Phyllostomidae) and hoverflies (Syrphidae). In this worked example, we briefly assess the degree to which various aspects of data coverage appear to have changed over time. We then discuss additional applications of the package, highlight its limitations, and point to future development opportunities.

ecology↗