Biology subjects

Smith, J. R.

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

14 recordsLinked to original sources

bioRxiv2025

Electron transport chain disruption leads to failure of glucose derepression via the Snf1/AMPK pathway

When Saccharomyces cerevisiae cells transition from a glucose-rich environment to low glucose conditions, the expression of genes that were previously repressed by glucose is derepressed, enabling the cell to adapt metabolic processes to the available carbon source. The Snf1 pathway is one of the primary signaling pathways responsible for orchestrating glucose sensing and signaling. In this study, we investigate the impact of disrupted electron transport chain (ETC) function, a mitochondrial protein complex essential for respiratory energy generation, in glucose derepression. We observe that respiratory incompetent mutants exposed to glucose are unable to subsequently utilize galactose as a carbon source in minimal media. In contrast, ETC mutants that have been generated and maintained on galactose can effectively continue to metabolize galactose until glucose exposure. We define this phenomenon as a Failure of Glucose Derepression (FGD), wherein respiratory incompetent cells fail to fully reverse glucose repressed gene expression regulation. Through further characterization, we show how irregular localization patterns of crucial proteins within the Snf1 pathway are associated with FGD suggesting a potential novel connection between the ETC and the Snf1 pathway during carbon source transition. SIGNIFICANCE STATEMENTO_LIRespiratory incompetent electron-transport chain mutants are capable of metabolizing galactose as a carbon source. However, when ETC mutants encounter glucose, they lose this ability to metabolize galactose. C_LIO_LIThis study demonstrates that failure to derepress glucose repressed genes facilitated by the Snf1/AMPK pathway is primarily responsible for this phenotype in ETC mutants. C_LIO_LIThese results illustrate a novel signaling role for the ETC and suggest a possible metabolic intervention to certain disease phenotypes. C_LI

cell biology↗

bioRxiv2025

Combinatorial multiomic analysis from a pedigree of Sox10Dom Hirschsprung mice implicates Dach1 as a modifier of Enteric Nervous System development

BackgroundHirschsprung disease (HSCR) is characterized by absence of enteric ganglia (aganglionosis) along variable lengths of the distal intestine. This disorder results from deficient colonization of fetal intestine by enteric neural crest-derived cells (ENCDCs). HSCR exhibits complex, multifactorial inheritance with penetrance and severity varying widely even within a family. SOX10 is among causal genes that predispose to aganglionosis. Yet, how gene interactions influence severity of HSCR aganglionosis is not understood. We previously used an F1-intercross strategy to map genetic modifiers of aganglionosis in the Sox10Dom HSCR mouse. Here we employ an extended pedigree mapping approach and complementary omics analyses of the developing Enteric Nervous System (ENS) to identify modifier loci that affect severity of HSCR aganglionosis. ResultsTo identify loci that modify aganglionosis extent we undertook genome-wide association study (GWAS) of an extended pedigree of Sox10Dommice on a mixed C57BL/6J x C3HeBFeJLe-a/a background. GWAS uncovered genetic modifiers of aganglionosis severity in this cohort. Within each modifier interval, we prioritize candidate genes based on gene expression in the developing ENS, proximity to open chromatin regions in ENCDCs, and presence of conserved SOX10 binding motifs. This strategy identified known genes in ENS development as well as multiple novel genes. Dach1 emerged as a top priority gene for modifying ENCDCs migration and thus influencing aganglionosis severity. ConclusionsThis study identifies genome intervals and intrinsic genes that modify Sox10Dom aganglionosis severity and that are candidate modifiers of human HSCR severity. AUTHOR SUMMARYHirschsprung disease is a complex genetic neurodevelopmental disorder that causes loss of neurons in the distal bowel. The length of gut lacking neurons, called "aganglionosis", in HSCR patients can vary widely even between affected siblings. Multiple genes are Mendelian causative for HSCR, but little is known about the gene interactions responsible for the notable variation in aganglionosis severity. In this study, we use a mouse model of HSCR to identify genomic regions, "modifiers", associated with length of aganglionosis. Genes active within these regions are then identified in RNA-sequencing and open chromatin data from progenitor cells, which form the enteric nervous system. These omics approaches identify both known and novel genes that can affect enteric neuron development and may underly HSCR severity in patients. Dach1, already known for effects on neuronal progenitor proliferation and migration in other aspects of the nervous system, emerged as the top priority gene. The findings greatly expand the gene network that influences HSCR aganglionosis.

genomics↗

bioRxiv2025

CELF2 suppresses endogenous RNA ligands that activate RIG-I-mediated interferon induction

Type I interferons (IFNs) are critical for the control of viral infections, but aberrant IFN expression can result in tissue damage. RIG-I-like receptors (RLRs), such as RIG-I and MDA5, sense viral RNA and signal through the adaptor protein MAVS to induce phosphorylation and nuclear translocation of the transcription factor IRF3, thereby driving IFN production. However, activation of RLRs by endogenous RNA ligands can also induce IFNs, leading to autoinflammation. Identifying factors that suppress endogenous RNA ligands is critical for preventing IFN-induced autoimmunity. In this study, we identify a novel regulator, CELF2, that suppresses endogenous RNAs that otherwise activate the RLR pathway. We uncovered a novel role for the splicing factor CELF2 as a suppressor of immunostimulatory endogenous RNA ligands. Depletion of CELF2 in macrophages led to a spontaneous IFN and IFN-stimulated gene signature, dependent on the RIG-I-MAVS pathway. Furthermore, the transfer of RNA from CELF2-depleted macrophages was sufficient to induce type I IFN expression in naive cells. This RNA was found to be double-stranded as RNase III treatment of RNA derived from CELF2-depleted cells ablated IFN induction in naive cells. Immunoprecipitation of double-stranded RNA from CELF2-depleted macrophages revealed several immunostimulatory RNAs, which contribute to the increased interferon-stimulated gene signature observed in CELF2-depleted macrophages. These data indicate that CELF2 suppresses endogenous RNA ligands, which could otherwise activate RIG-I and induce an IFN signature. Overall, these findings reveal that CELF2 is an important regulator of self-RNA ligands to prevent IFN-induced autoinflammation. One-sentence summaryCELF2 suppresses RIG-I-like receptor ligands that activate interferon.

immunology↗

bioRxiv2024

Post-translational modifications on protein VII are important during the early stages of adenovirus infection.

Due to the importance of post-translational modification (PTM) in cellular function, viruses have evolved to both take advantage of and be susceptible to such modification. Adenovirus encodes a multifunctional protein called protein VII, which is packaged with the viral genome in the core of virions and disrupts host chromatin during infection. Protein VII has several PTMs whose addition contributes to the subnuclear localization of protein VII. Here, we used mutant viruses that abrogate or mimic these PTMs on protein VII to interrogate their impact on protein VII function during adenovirus infection. We discovered that acetylation of the lysine in positions 2 or 3 (K2 or K3) is deleterious during early infection as mutation to alanine led to greater intake of protein VII to the nucleus and enhanced early gene expression. Furthermore, we determined that protein VII is acetylated at alternative residues late during infection which may compensate for the mutated sites. Lastly, due to the role of the early viral protein E1A in viral gene activation, we investigated the interaction between protein VII and E1A and demonstrated that protein VII interacts with E1A through a chromatin-mediated interaction. Together, these results emphasize that the complexity of virus-host interactions is intimately tied to post-translational modification. ImportanceAdenoviruses are a ubiquitous human pathogen that cause a variety of diseases, such as respiratory infections, gastroenteritis, and conjunctivitis. While often viewed as a self-limiting infection in healthy individuals, adenoviruses are particularly harmful for immunocompromised patients. Here, we investigate the functional role of post-translational modifications (PTMs) on an essential adenovirus core protein, protein VII, describing how they regulate its function during early and late stages of infection. Our study focuses on how specific PTMs on protein VII influence transcription, localization, and interactions with other proteins, highlighting how PTMs are employed by viruses to alter protein function.

microbiology↗

bioRxiv2024

Human cytomegalovirus induces neuronal gene expression for viral maturation

Viral invasion of the host cell causes some of the most dramatic changes in biology. Human cytomegalovirus (HCMV) extensively remodels host cells, altering nuclear shape and generating a cytoplasmic viral-induced assembly compartment (vIAC). How these striking morphology changes take place in the context of host gene regulation is still emerging. Here, we discovered that histone variant macroH2A1 is essential for producing infectious progeny. Because virion maturation and cellular remodeling are closely linked processes, we investigated structural changes in the host cell upon HCMV infection. We discovered that macroH2A1 is necessary for HCMV-induced reorganization of the host nucleus, cytoskeleton, and endoplasmic reticulum. Furthermore, using RNA-seq we found that while all viral genes were highly expressed in the absence of macroH2A1, many HCMV-induced host genes were not. Remarkably, hundreds of these HCMV-induced macroH2A1-dependent host genes are associated with neuronal synapse formation and vesicle trafficking. Knock-down of these HCMV-induced neuronal genes during infection resulted in malformed vIACs and smaller plaques, establishing their importance to HCMV infection. Together, our findings demonstrate that HCMV manipulates host gene expression by hijacking a dormant neuronal secretory pathway for efficient virion maturation.

microbiology↗

bioRxiv2023

Local tree cover predicts mosquito species richness and disease vector presence in a tropical countryside landscape

ContextLand use change and deforestation drive both biodiversity loss and zoonotic disease transmission in tropical countrysides. For mosquito communities that can include disease vectors, forest loss has been linked to reduced biodiversity and increased vector presence. The spatial scales at which land use and tree cover shape mosquito communities present a knowledge gap relevant to both biodiversity and public health. ObjectivesWe investigated the responses of mosquito species richness and Aedes albopictus disease vector presence to land use and to tree cover surrounding survey sites at different spatial scales. We also investigated species compositional turnover across land uses and along environmental gradients. MethodsWe paired a field survey of mosquito communities in agricultural, residential, and forested lands in rural southern Costa Rica with remotely sensed tree cover data. We compared mosquito richness and vector presence responses to tree cover measured across scales from 30m to 1000m, and across land uses. We analyzed compositional turnover between land uses and along environmental gradients of tree cover, temperature, elevation, and geographic distance. ResultsTree cover was both positively correlated with mosquito species richness and negatively correlated with the presence of the common invasive dengue vector Ae. albopictus at small spatial scales of 90 - 250m. Land use predicted community composition and Ae. albopictus presence. ConclusionsThe results suggest that local tree cover preservation and expansion can support mosquito species richness and reduce disease vector presence. The identified spatial range at which tree cover shapes mosquito communities can inform the development of land management practices to protect both ecosystem and public health.

ecology↗

bioRxiv2023

Identification of the yeast mannoprotein gene HZY1 as a key genetic determinant for yeast-derived haze in beer

With the sustained popularity of hazy IPAs, brewers have explored multiple approaches to maximizing stable haze that will remain in suspension throughout the shelf life of the beer. Our recent investigations into yeast-dependent haze have uncovered specific brewing yeast strains that promote the formation of haze in heavily dry-hopped beer styles. These brewing strains have been termed "haze-positive" and furthermore, the timing of dry hop additions has been found to be another key factor in producing this stable haze. Classical genetics have identified YIL169C (herein referred to as HZY1) as both necessary and sufficient for the haze-positive phenotype in the yeast strain most widely used for Hazy IPAs. HZY1 encodes a candidate glycoprotein and our recent findings suggest it is localized to the cell wall through a GPI anchor. Surprisingly, using long-read sequencing data we uncovered extensive genetic variation in HZY1 across brewing strains. The haze-positive phenotype correlates with an expansion in the N-terminal serine-rich region. We propose that the Hzy1 glycoprotein is a critical component to yeast-dependent colloidal haze and the genetic variation in this locus contributes the range of haze phenotypes observed across industrial brewing strains.

genetics↗

bioRxiv2023

A revamped rat reference genome improves the discovery of genetic diversity in laboratory rats

The seventh iteration of the reference genome assembly for Rattus norvegicus-- mRatBN7.2--corrects numerous misplaced segments and reduces base-level errors by approximately 9-fold and increases contiguity by 290-fold compared to its predecessor. Gene annotations are now more complete, significantly improving the mapping precision of genomic, transcriptomic, and proteomics data sets. We jointly analyzed 163 short-read whole genome sequencing datasets representing 120 laboratory rat strains and substrains using mRatBN7.2. We defined [~]20.0 million sequence variations, of which 18.7 thousand are predicted to potentially impact the function of 6,677 genes. We also generated a new rat genetic map from 1,893 heterogeneous stock rats and annotated transcription start sites and alternative polyadenylation sites. The mRatBN7.2 assembly, along with the extensive analysis of genomic variations among rat strains, enhances our understanding of the rat genome, providing researchers with an expanded resource for studies involving rats.

genomics↗

bioRxiv2023

Mechanisms of octopus arm search behavior without visual feedback

The octopus coordinates multiple, highly flexible arms with the support of a complex distributed nervous system. The octopuss suckers, staggered along each arm, are employed in a wide range of behaviors. Many of these behaviors, such as foraging in visually occluded spaces, are executed under conditions of limited or absent visual feedback. In coordinating unseen limbs with seemingly infinite degrees of freedom across a variety of adaptive behaviors, the octopus appears to have solved a significant control problem facing the field of soft-bodied robotics. To study the strategies that the octopus uses to find and capture prey within unseen spaces, we designed and 3D printed visually occluded foraging tasks and tracked arm motion as the octopus attempted to find and retrieve a food reward. By varying the location of the food reward within these tasks, we can characterize how the arms and suckers adapt to their environment to find and capture prey. We compared these results to simulated experimental conditions performed by a model octopus arm to isolate the primary mechanisms driving our experimental observations. We found that the octopus relies on a contact-based search strategy that emerges from local sucker coordination to simplify the control of its soft, highly flexible limbs.

animal behavior and cognition↗

bioRxiv2022

MEF2A suppresses replicative stress responses that trigger DDX41-dependent IFN production

Interferons (IFN) are induced by sensing of self- and non-self DNA or genomic lesions by pathogen recognition receptors (PRR) that activate STING. These pathways must be kept in check by negative regulators to prevent unscheduled activation of IFN, which contributes to autoinflammation. Here we show that MEF2A as a novel negative regulator of inflammation that suppresses homeostatic induction of IFNs. Indeed, MEF2A deficiency results in the spontaneous production of type I IFN and robust downstream IFN-stimulated gene expression that coincided with a robust cellular antiviral state. Mechanistically, MEF2A depletion promoted the accumulation of R-loops that activate the DDX41/STING pathway. This pro-inflammatory pathway was dependent on ATR kinase activity, hallmark of the replicative stress response, was necessary for the activation of STING upon loss of MEF2A expression. Thus, our study connects MEF2A with protection from maladaptive type I IFN responses triggered by R-loop accumulation and links the DDX41-dependent activation of STING to the DNA damage response.

immunology↗

bioRxiv2022

Hemodynamic stress activates inflammatory responses and cell death through spectrin-dependent modulation of Store Operated Calcium Entry

Patients undergoing cardiac surgery face significant inflammatory induced by exposure to cardiopulmonary bypass (CPB), contributing to heightened morbidity and mortality. The molecular and cellular mechanisms that underpin this inflammatory process remain unknown. To address this knowledge gap, we performed snRNA/ATAC-Sequencing on leukocytes from neonatal CPB patients. Classical monocytes become more prevalent and have dysregulation of inflammatory genes after CPB, indicating their role in CPB-associated inflammation. A genome-wide CRISPR screen and in vitro experiments in non-adherent monocytic cells identified two novel genes, SPTAN1 and RAF1, as effectors of hemodynamic stress. SPTAN1 and RAF1 activate store-operated calcium entry that results inflammation and cell death. snATAC-Seq revealed dynamically changing patterns of chromatin accessibility and AP-1 transcription factor binding after CPB exposure. These findings provide novel insights into the pathogenesis of CPB-associated inflammation, with broad implications for understanding the early stages of sterile inflammation and how non-adherent cells sense shear stress.

cell biology↗

bioRxiv2021

Endomembrane targeting of human OAS1 p46 augments antiviral activity

Many host RNA sensors are positioned in the cytosol to detect viral RNA during infection. However, most positive-strand RNA viruses replicate within a modified organelle co-opted from intracellular membranes of the endomembrane system, which shields viral products from host cell innate immune sensors. Targeting innate RNA sensors to the endomembrane system may enhance their ability to sense viral RNA generated by viruses that use these compartments for replication. Here, we reveal that an isoform of oligoadenylate synthetase 1, OAS1 p46, is prenylated and targeted to the endomembrane system. Membrane localization of OAS1 p46 confers enhanced access to viral replication sites and results in increased antiviral activity against a subset of RNA viruses including flavivirus, picornavirus, and SARS-CoV-2. Finally, our human genetic analysis shows that the OAS1 splice-site SNP responsible for production of the OAS1 p46 isoform strongly associates with COVID-19 severity. This study highlights the importance of endomembrane targeting for the antiviral specificity of OAS1 and suggests early control of SARS-CoV-2 replication through OAS1-p46 is an important determinant of COVID-19 severity.

immunology↗

bioRxiv2020

Single cell RNA sequencing redefines the mesenchymal cell landscape of mouse endometrium

The endometrium is a dynamic tissue that exhibits remarkable resilience to repeated episodes of differentiation, breakdown, regeneration and remodelling. Endometrial physiology relies on a complex interplay between the stromal and epithelial compartments with the former containing a mixture of fibroblasts, vascular and immune cells. There is evidence for rare populations of putative mesenchymal progenitor cells located in the perivascular niche of human endometrium, but the existence of an equivalent cell population in mouse is unclear. In the current study we used the Pdgfrb-BAC-eGFP transgenic reporter mouse in combination with bulk and single cell RNA sequencing (scRNAseq) to redefine the endometrial mesenchyme. Contrary to previous reports we show that CD146 is expressed in both PDGFR{beta}+ perivascular cells as well as CD31+ endothelial cells. Bulk RNAseq revealed cells in the perivascular niche which express high levels of Pdgfrb as well as genes previously identified in pericytes and/or vascular smooth muscle cells (Acta2, Myh11, Olfr78, Cspg4, Rgs4, Rgs5, Kcnj8, Abcc9). scRNAseq identified five subpopulations of cells including closely related pericytes/vascular smooth muscle cells and three subpopulations of fibroblasts. All three fibroblast populations were PDGFR+/CD34+ but were distinct in their expression of Spon2/Angptl7 (fibroblast 1), Smoc2/Rgs2 (fibroblast 2) and Clec3b/Col14a1/Mmp3 (fibroblast 3), with potential functions in regulation of immune responses, response to wounding and organisation of extracellular matrix respectively. In conclusion, these data are the first to provide a single cell atlas of the mesenchymal cell landscape in mouse endometrium. By identifying novel markers for subpopulations of mesenchymal cells we can use mouse models investigate their contribution to endometrial function, compare with other tissues and apply these findings to further our understanding of human endometrium. HighlightsO_LIGFP expression in the mouse endometrium, under the control of the Pdgfrb promoter, is restricted to two cell populations based on the intensity of GFP with GFPbright cells close to the vasculature C_LIO_LISingle cell RNAseq identified five subpopulations of GFP+ mesenchymal cells: pericytes, vascular smooth muscle cells (vSMC) and three closely related but distinct populations of fibroblasts C_LIO_LIBioinformatics revealed that pericytes and vSMC share functions associated with the circulatory system, actin-filament process and cell adhesion, and an apparent role for pericytes in smooth muscle cell migration and response to interferons C_LIO_LIComparisons between the fibroblast subpopulations suggest distinct roles in regulation of immune response, response to wound healing and collagen organisation. C_LI Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

physiology↗

bioRxiv2020

Gene Embeddings of Complex network (GECo) and hypertension disease gene classification

Complex diseases such as hypertension, cancer, and diabetes cause nearly 70% of the deaths in the U.S. and involve multiple genes and their interactions with environmental factors. Therefore, identification of genetic factors to understand and decrease the morbidity and mortality from complex diseases is an important and challenging task. With the generation of an unprecedented amount of multi-omics datasets, network-based methods have become popular to represent the multilayered complex molecular interactions. Particularly node embeddings, the low-dimensional representations of nodes in a network are utilized for gene function prediction. Integrated network analysis of multi-omics data alleviates the issues related to missing data and lack of context-specific datasets. Most of the node embedding methods, however, are unable to integrate multiple types of datasets from genes and phenotypes. To address this limitation, we developed a node embedding algorithm called Node Embeddings of Complex networks (NECo) that can utilize multilayered heterogeneous networks of genes and phenotypes. We evaluated the performance of NECo using genotypic and phenotypic datasets from rat (Rattus norvegicus) disease models to classify hypertension disease-related genes. Our method significantly outperformed the state-of-the-art node embedding methods, with AUC of 94.97% compared 85.98% in the second-best performer, and predicted genes not previously implicated in hypertension. Availability and implementationThe source code is available on GitHub at https://github.com/bozdaglab/NECo.

bioinformatics↗