Biology subjects

Johnston, M.

Publications and source records attributed to Johnston, M..

11 recordsLinked to original sources

bioRxiv2026

Evaluating eDNA Detection from Live and Dead Control Sources

Environmental DNA (eDNA) methods offer a powerful tool for monitoring aquatic species, yet field applications remain challenged by uncertainty in DNA transport, mixing, and detection, particularly in flowing or tidally influenced systems. One approach to improve confidence in eDNA surveys is the use of controlled DNA sources (positive controls), but questions remain regarding how the biological condition of the source influences eDNA release and detectability. This study evaluated differences in eDNA concentrations emitted from live versus dead fish in a controlled, shallow, well-mixed channel. Using a fixed point-sampling design, we measured eDNA concentrations over time and modeled the effects of treatment, sampling time, temperature, and water velocity. Dead fish consistently released significantly higher concentrations of eDNA than live fish, while eDNA concentrations declined over time in both treatments. Water temperature and velocity did not significantly influence detection, and the rate of eDNA decline was similar between live and dead treatments. These findings highlight the importance of source condition and site-specific mixing dynamics when interpreting positive control experiments and underscore the value of site characterization when designing eDNA sampling protocols.

ecology↗

bioRxiv2026

Intranasal Delivery of HIV/SIV Antigens with NE/AS01B Adjuvants Enhances Cellular Immunity and Reduces Viral Loads in SHIV-Challenged Macaques

The primary route of HIV transmission is across mucosal tissues; therefore, developing a protective mucosal vaccine is a top priority. In a pilot study, using a macaque model, we delivered HIV gp140 envelope glycoprotein and SIVmac239 P55 Gag and Nef antigens using heterologous prime/boost via the intranasal route with a soybean oil-based nanoemulsion (NE) adjuvant and through the intramuscular route with the AS01B adjuvant system to generate enhanced cell-mediated immunity. We used a NE adjuvant to promote gut-homing cell-mediated immunity and the AS01B system to enhance humoral immune responses. Following intrarectal challenge with SHIV 4MTF.tHy, vaccinated macaques acquired the virus but experienced lower viral loads in plasma (P=0.003) and CSF (P=0.001), and potent polyfunctional gag-specific (CD107a+, IFN{gamma}, TNF+) responses across diverse lymph nodes. Significant antibody-dependent complement deposition (ADCD) and antibody-dependent cellular phagocytosis (ADCP) responses were induced, and gut-microbiome crosstalk could be modulated and showing reduced SHIV-dysbiosis. Notably, vaccination preserved mucosal all-trans retinoic acid levels (atRA) (p<0.05). However, no significant differences were observed for antibody responses between vaccinated and unvaccinated macaques. In summary, the induced gut-homing properties by the NE adjuvant are effective at generating cell-mediated immunity and reducing viral set points and warrant further investigations as a mucosal adjuvant in HIV vaccine design. ImportanceThree major non-mucosal vaccine trials (RV144, HVTN702, and 706) failed to reduce HIV infection rates. Therefore, new approaches in developing a mucosal vaccine remain an effective strategy to attempt to control HIV infection. Coherent vaccine approaches against HIV were focused on immune correlates related to viral loads, persistent reservoirs, and antibody responses. As a proof-of-principle, we developed a vaccine regimen consisting of AS01B and an adjuvanted oil-in-water NE cleaved HIV clade C gp140 protein and non-cleaved Gag, and nef particles administered through intranasal, subcutaneous, and intramuscular routes, followed by intrarectal challenge with clade C SHIV. This vaccine elicited strong ADCD and ADCP responses, modulated immune-microbiome crosstalk, and reduced susceptibility to SHIV-infection-associated dysbiosis. Additionally, it preserved mucosal all trans retinoic acid (atRA) levels, suggesting a potential role for this approach in HIV vaccine development.

microbiology↗

bioRxiv2022

A framework for deriving analytic long-term behavior of biochemical reaction networks

The long-term behaviors of biochemical systems are described by their steady states. Deriving these states directly for complex networks arising from real-world applications, however, is often challenging. Recent work has consequently focused on network-based approaches. Specifically, biochemical reaction networks are transformed into weakly reversible and deficiency zero networks, which allows the derivation of their analytic steady states. Identifying this transformation, however, can be challenging for large and complex networks. In this paper, we address this difficulty by breaking the complex network into smaller independent subnetworks and then transforming the subnetworks to derive the analytic steady states of each subnetwork. We show that stitching these solutions together leads to the the analytic steady states of the original network. To facilitate this process, we develop a user-friendly and publicly available package, COMPILES (COMPutIng anaLytic stEady States). With COMPILES, we can easily test the presence of bistability of a CRISPRi toggle switch model, which was previously investigated via tremendous number of numerical simulations and within a limited range of parameters. Furthermore, COMPILES can be used to identify absolute concentration robustness (ACR), the property of a system that maintains the concentration of particular species at a steady state regardless of any initial concentrations. Specifically, our approach completely identifies all the species with and without ACR in a complex insulin model. Our method provides an effective approach to analyzing and understanding complex biochemical systems. Author summarySteady states describe the long-term behaviors of biochemical systems, which are typically based on ordinary differential equations. To derive a steady state analytically, significant attention has been given in recent years to network-based approaches. While this approach allows a steady state to be derived as long as a network has a special structure, complex and large networks rarely have this structural property. We address this difficulty by breaking the network into smaller and more manageable independent subnetworks, and then use the network-based approach to derive the analytic steady state of each subnetwork. Stitching these solutions together allows us to derive the analytic steady state of the original network. To facilitate this process, we develop a user-friendly and publicly available package, COMPILES. COMPILES identifies critical biochemical properties such as the presence of bistability in a genetic toggle switch model and absolute concentration robustness in a complex insulin signaling pathway model.

systems biology↗

bioRxiv2022

Habitat use differences mediate anthropogenic threat exposure in white sturgeon

Understanding intraspecific variation in habitat use, particularly of long-lived fishes across multiple life history stages, is core to improved conservation management. Here, we present results from a synthesis of acoustic telemetry data for large juvenile and adult white sturgeon (Acipenser transmontanus) from 2010 to 2017 in the San Francisco Estuary and Sacramento River ecosystems. We focused primarily on uncovering spatial patterns of inferred habitat occupancy across life stages, and on linking habitat use to population threats. We found substantial differences in habitat use across individuals and over time that was related to fish age class. However, differences in habitat use were not explained by fish sex or water year flow conditions. We estimated an index of angling exposure, which showed that fish entering reproductive maturity, which historically were of harvestable size, were detected less often than other sizes in areas with high angler pressure, suggesting possible behavioral avoidance of areas of high angler pressure. Additionally, we used historical data to evaluate potential exposure of white sturgeon to a severe red tide event in late summer 2022. We found that >50% of reproductive-age fish may have been residing in areas affected by the red tide. Future monitoring and management of white sturgeon might benefit from examining multiple phases of white sturgeon life history. For example, additional tracking studies could improve understanding of juvenile habitat use, adult survival rates, patterns of anadromy, and cross-basin habitat utilization.

ecology↗

bioRxiv2022

Transcriptome analysis of FOXO-dependent hypoxia gene expression identifies Hipk as a regulator of low oxygen tolerance in Drosophila

When exposed to low oxygen or hypoxia, animals must alter their metabolism and physiology to ensure proper cell-, tissue- and whole-body level adaptations to their hypoxic environment. These alterations often involve changes in gene expression. While extensive work has emphasized the importance of the HIF-1 alpha transcription factor on controlling hypoxia gene expression, less is known about other transcriptional mechanisms. We previously identified the transcription factor FOXO as a regulator of hypoxia tolerance in Drosophila larvae and adults. Here we use an RNA-sequencing approach to identify FOXO-dependent changes in gene expression that are associated with these tolerance effects. We found that hypoxia altered the expression of over 2000 genes and that approximately 40% of these gene expression changes required FOXO. We discovered that hypoxia exposure led to a FOXO-dependent increase in genes involved in cell signaling, such as kinases, GTPase regulators, and regulators of the Hippo/Yorkie pathway. Among these, we identified homeodomain-interacting protein kinase (Hipk) as being required for hypoxia survival. We also found that hypoxia suppresses the expression of genes involved in ribosome synthesis and egg production, and we showed that hypoxia suppresses tRNA synthesis and mRNA translation and reduces female fecundity. Among the downregulated genes, we discovered that FOXO was required for suppression of many ribosomal protein genes and genes involved in oxidative phosphorylation, pointing to a role for FOXO in limiting energetically costly processes such as protein synthesis and mitochondrial activity upon hypoxic stress. This work uncovers a widespread role for FOXO in mediating hypoxia changes in gene expression.

physiology↗

bioRxiv2021

Transcriptional characterization of the glial response due to chronic neural implantation of flexible microprobes

Long term implantation of (micro-)probes into neural tissue cause unique and disruptive responses to these foreign bodies. In this study, we present the transcriptional trajectory of glial cells responding to chronic implantation of flexible micro-probes for up to 18 weeks. Transcriptome analysis shows a rapid activation of microglial cells and a strong upregulation of reactive astrocytic genes, which is lost over the full duration of the implant period. Most interestingly, animals that were implanted for 18 weeks show a transcriptional profile similar to non-implanted controls, with increased expression of genes associated with wound healing and angiogenesis, which raises hope of a normalization of the neuropil to the pre-injury state when using flexible probes. Nevertheless, our data show, that a subset of genes upregulated after 18 weeks belong to the family of immediate early genes, which would indicate that structural and functional remodeling has not been completed at this time point. Our results confirm and extend previous work on the molecular changes resulting from the presence of intraneural probes and provide a rational basis for developing intervention strategies to control them.

neuroscience↗

bioRxiv2021

macroH2A2 shapes chromatin accessibility at enhancer elements in glioblastoma to modulate a targetable self-renewal epigenetic network

Self-renewal is a crucial property of glioblastoma cells and is enabled by the choreographed function of chromatin regulators and transcription factors. Identifying targetable epigenetic mechanisms of self-renewal could represent an important step toward developing new and effective treatments for this universally lethal cancer. Here we uncover a targetable epigenetic axis of self-renewal mediated by the histone variant macroH2A2. Using patient-derived in vitro and in vivo models, we show that macroH2A2 has a direct role in shaping chromatin accessibility at enhancer elements to antagonize transcriptional programs of self-renewal. Pharmaceutical inhibition of the chromatin remodeler Menin increased macroH2A2 levels and repressed self- renewal. Our results reveal a targetable epigenetic mechanism of self-renewal controlled by macroH2A2 and suggest new treatment approaches for glioblastoma patients. SIGNIFICANCEGlioblastoma is an incurable brain cancer. Malignant self-renewing cells have been shown to drive tumor growth, to be refractory to current treatment approaches and to seed relapses, which ultimately prove lethal. Identifying new and targetable mechanisms associated with self-renewal could be a fundamental first step in designing effective therapies that slow or prevent glioblastoma relapses. Using patient-derived models of glioblastoma, we deployed epigenomic approaches and functional assays to define the role of the histone variant macroH2A2 in repressing self-renewal. We identified compounds that increase macroH2A2 levels and repress self-renewal, including a Menin inhibitor. As Menin inhibitors are being tested in clinical trials, these compounds could be used in new therapeutic paradigms to target self-renewing cell populations in glioblastoma.

cancer biology↗

bioRxiv2020

Copy-scAT: An R package for detection of large-scale and focal copy number alterations in single-cell chromatin accessibility datasets

Single-cell epigenomic assays have tremendous potential to illuminate mechanisms of transcriptional control in functionally diverse cancer cell populations. However, application of these techniques to clinical tumor specimens has been hampered by the current inability to distinguish malignant from non-malignant cells, which potently confounds data analysis and interpretation. Here we describe Copy-scAT, an R package that uses single-cell epigenomic data to infer copy number variants (CNVs) that define cancer cells. Copy-scAT enables studies of subclonal chromatin dynamics in complex tumors like glioblastoma. By deploying Copy-scAT, we uncovered potent influences of genetics on chromatin accessibility profiles in individual subclones. Consequently, some genetic subclones were predisposed to acquire stem-like or more differentiated molecular phenotypes, reminiscent of developmental paradigms. Copy-scAT is ideal for studies of the relationships between genetics and epigenetics in malignancies with high levels of intratumoral heterogeneity and to investigate how cancer cells interface with their microenvironment.

bioinformatics↗

bioRxiv2020

CASCADES, a novel SOX2 super-enhancer associated long noncoding RNA, regulates cancer stem cell specification and differentiation in glioblastoma multiforme

Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults, with a median survival of just over one year. The failure of available treatments to achieve remission in patients with GBM has been attributed to the presence of cancer stem cells (CSCs), which are thought to play a central role in tumor development and progression and serve as a treatment-resistant cell repository capable of driving tumor recurrence; in fact, the property of "stemness" itself may be responsible for treatment resistance. In this study, we identify a novel lncRNA, Cancer stem cell associated distal enhancer of SOX2 (CASCADES) that functions as an epigenetic regulator in glioma CSCs (GSCs). CASCADES is expressed in IDH-wild type GBM and significantly enriched in GSCs. Knockdown of CASCADES in GSCs results in differentiation towards a neuronal lineage in a cell- and cancer-specific manner. Bioinformatics analysis reveals that CASCADES functions as a super-enhancer associated lncRNA epigenetic regulator of SOX2. Our findings identify CASCADES as a critical regulator of stemness in GSCs and represent a novel epigenetic and therapeutic target for disrupting the cancer stem cell compartment in GBM.

cancer biology↗

bioRxiv2019

Deciphering anomalous heterogeneous intracellular transport with neural networks

Biological intracellular transport is predominantly heterogeneous in both time and space, exhibiting varying non-Brownian behaviour. Characterisation of this movement through averaging methods over an ensemble of trajectories or over the course of a single trajectory often fails to capture this heterogeneity adequately. Here, we have developed a deep learning feedforward neural network trained on fractional Brownian motion, which provides a novel, accurate and efficient characterization method for resolving heterogeneous behaviour of intracellular transport both in space and time. Importantly, the neural network requires significantly fewer data points compared to established methods, such as mean square displacements, rescaled range analysis and sequential range analysis. This enables robust estimation of Hurst exponents for very short time series data, making possible direct, dynamic segmentation and analysis of experimental tracks of rapidly moving cellular structures such as endosomes and lysosomes. By using this analysis, we were able to interpret anomalous intracellular dynamics as fractional Brownian motion with a stochastic Hurst exponent.

cell biology↗

bioRxiv2019

Chitin perception in plasmodesmata identifies subcellular, context-specific immune signalling in plants

The plasma membrane (PM) that lines plasmodesmata has a distinct protein and lipid composition, underpinning specific regulation of these connections between cells. The plasmodesmal PM can integrate extracellular signals differently from the cellular PM, but it is not known how this specificity is established or how a single stimulus can trigger independent signalling cascades in neighbouring membrane domains. Here we have used the fungal elicitor chitin to investigate signal integration and responses at the plasmodesmal PM. We found that the plasmodesmal PM employs a receptor complex composed of the LysM receptors LYM2 and LYK4 which respectively change their location and interactions in response to chitin. Downstream, signalling is transmitted via a specific phosphorylation signature of an NADPH oxidase and localised callose synthesis that causes plasmodesmata closure. This demonstrates the plasmodesmal PM deploys both plasmodesmata-specific components and differential activation of PM-common components to independently integrate an immune signal.

plant biology↗