Biology subjects

Moore, A.

Publications and source records attributed to Moore, A..

At least 19 recordsLinked to original sources

bioRxiv2026

The basal cell state maintains pancreatic cancers by controlling an immunosuppressive circuit

Intra-tumoral heterogeneity is a cardinal feature of solid tumors, yet how distinct cancer cell states functionally contribute to malignant and stromal diversity in situ remains poorly understood. Using mouse models to lineage-trace or genetically ablate the two predominant cancer cell states in autochthonous pancreatic ductal adenocarcinoma (PDAC), we discover that basal cancer cells are highly plastic, whereas classical cancer cells exhibit limited plasticity. Strikingly, ablation of the basal, but not the classical, state induced rapid and durable tumor collapse, driven by loss of immunosuppressive cancer-associated fibroblasts, macrophage repolarization, and reprogramming of the tumor cytokine milieu, culminating in tumor destruction by cytotoxic lymphocytes. Knockout of a single cytokine, GM-CSF, specifically in basal cells recapitulated macrophage repolarization and lymphocyte recruitment observed upon basal state ablation and shrank tumors. These results reveal the basal cell state controls an immunosuppressive cell circuit critical for PDAC maintenance, motivating therapeutic targeting of the basal cells.

cancer biology↗

bioRxiv2026

Transcriptomic profiling of the embryonic C. elegans intestine with single-cell resolution

At a mere 20 cells, the Caenorhabditis elegans intestine regulates metabolism, energy homeostasis, host defense, yolk production, and genetic aging, all while dynamically responding to its environment. How the intestine develops to carry out these disparate functions is unknown, and how cells differ along the length of the intestine is unclear. To address these questions, we performed single-cell RNA sequencing (scRNA-seq) on FACS-enriched intestinal cells from mixed-stage C. elegans embryos. The resulting single-cell transcriptomes of 974 cells organized into 13 clusters, suggesting a diversity of cell types and states. We used two post hoc approaches to ascribe identities to each cluster. First, genes with known developmental timing in early-, mid-, and late-stages were used to place clusters in time, and smiFISH microscopy was used to fine-tune the assignments. Second, the eight late-stage clusters were assessed for their region of origin. To assign these clusters to anatomical regions, we identified marker genes for each cluster and assessed their expression along the anterior-to-posterior length of the intestine using smiFISH microscopy. Genes associated with growth and cell division were expressed in early stages, whereas genes associated with immune responses and metabolism were expressed later. Genes associated with biotic responses and RNA metabolism were the most likely to vary across the intestines anterior-posterior axis. Finally, perturbation of anterior-localized intestinal transcripts more robustly affected intestinal function compared to central or posterior-localized genes. Overall, this research illustrates the intrinsic heterogeneity across the 20 cells of the embryonic intestine and sets the stage for future works aimed at understanding cell-specific intestinal responses to diet and the environment. ARTICLE SUMMARYWe investigate how the Caenorhabditis elegans intestine develops specialized functions on a spatiotemporal scale. We used single-cell RNA-sequencing to analyze embryonic intestinal cells and identify 13 distinct clusters. Combining gene expression analysis with microscopy, we assigned clusters to developmental stages and anatomical regions. Clusters associated with early intestine development express genes linked to growth and cell division, while later-stage clusters express genes involved in metabolism and immune responses. Genes varied across the intestines anterior-to-posterior axis, and disrupting anterior-specific genes produced stronger functional effects. These findings reveal previously unrecognized intestinal diversity and provide insight into how intestinal cells specialize during development.

genetics↗

bioRxiv2026

A population-scale red blood cell proteome reveals genetically encoded aging clocks predictive of hemolysis and blood donor activity

As the most abundant human cell and the foundation of transfusion medicine, red blood cells (RBCs) offer a unique readout of systemic health, yet they have never been characterized at population scale. We generated a proteome atlas of 13,091 blood donors with multi-omics longitudinal phenotyping, characterizing the influence of demographics and genetic variation on the reproducibility of RBC proteomes across donations. Elastic-net aging clocks captured biological aging with high accuracy and uncovered genetic regulators of {Delta}Age at FN1, C4/IKZF1, CRAT, PFAS, TRIM58. Across independent cohorts, {Delta}Age was accelerated in G6PD deficiency, sickle cell trait/disease, and iron deficiency, reversed by iron repletion, and slowed in high-frequency donors, linking molecular aging to brain iron/myelin and cognitive performance. Molecular aging signatures predicted storage, osmotic, and oxidative hemolysis, hemoglobin increments after transfusion, and long-term donor activity over 12-years. These results establish RBC proteomics as a scalable biomarker of aging, donor healthspan, and transfusion outcomes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/710284v1_ufig1.gif" ALT="Figure 1"> View larger version (96K): org.highwire.dtl.DTLVardef@15bd46eorg.highwire.dtl.DTLVardef@1d7c107org.highwire.dtl.DTLVardef@1c1d870org.highwire.dtl.DTLVardef@168dc6f_HPS_FORMAT_FIGEXP M_FIG Dzieciatkowska et al. generate the first population-scale atlas of the RBC proteome across 13,000 donors and develop proteomic and metabolomic aging clocks that quantify biological age. Molecular {Delta}Age is reproducible across donations, genetically encoded and accelerated in G6PD deficiency, sickle cell trait/disease, and iron deficiency - yet reset by iron repletion, tracking with cognitive function and brain iron/myelin. RBC aging clocks predict hemolytic fragility, transfusion efficacy, and donor activity 12 years later. C_FIG HighlightsO_LIRBC proteome atlas of 13,091 donors reveals demographic and genetic programs C_LIO_LIGenetically encoded RBC aging clocks identify regulators of molecular {Delta}age C_LIO_LIMolecular aging features predict hemolysis and transfusion response across cohorts C_LIO_LIRBC molecular age forecasts long-term donor activity over a 12-year follow-up C_LI

biochemistry↗

bioRxiv2025

Taxane-Induced Conformational Changes in the Microtubule Lattice Activate GEF-H1-Dependent RhoA Signaling

Taxanes are widely used chemotherapeutic agents that perturb cell division. They also exert effects during interphase, but the underlying mechanisms are poorly understood. Here, we show that taxanes activate RhoA signaling and induce actin remodeling by displacing the RhoA activator GEF-H1 from microtubules. This taxane-induced release of GEF-H1 occurs rapidly, is independent of tubulin post-translational modifications, and can be recapitulated using purified proteins. In vitro reconstitution assays combined with analyses of microtubule structure revealed that microtubule binding by GEF-H1 is inhibited by microtubule-stabilizing agents that expand the microtubule lattice, such as taxanes and GMPCPP, but not by others, including GTP{gamma}S and discodermolide, which stabilize a compacted microtubule lattice. Our findings demonstrate that alterations in microtubule lattice conformation can activate key signaling pathways, offering new insights into the mode of action of taxanes and the possible origins of their side effects.

cell biology↗

bioRxiv2025

Genetic variation of human G6PD impacts Red Blood Cell transfusion efficacy

Glucose-6-phosphate dehydrogenase (G6PD) deficiency, the most common human enzymopathy, affects 6% of the global population, yet its impact on blood storage and transfusion efficacy remains undefined. We integrated genome-metabolome-proteome analyses of 13,091 blood donors (362 G6PD SNPs), validated in a recalled cohort (n=643), linked donor-recipient databases, humanized mouse models (canonical, African A- [V68M+N126D], Mediterranean [S188F]), and a prospective sickle cell disease study. Common G6PD variants reduced protein abundance, reprogrammed redox metabolism, and increased storage hemolysis. In mice, G6PD-deficient RBCs showed lower post-transfusion recovery, higher oxidative stress, and impaired renal oxygenation. Clinically, recipients of G6PD-deficient units exhibited smaller hemoglobin increments and reduced RBC L{superscript 1}Cr-survival (-8% at 24 h; -12% at 4 weeks). Structural studies revealed kinetic fragility for A- and thermodynamic fragility for Med-, linking genotype to protein instability and transfusion outcome. These findings identify donor G6PD genotype as a determinant of transfusion efficacy, supporting genotype-aware inventory-management strategies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/689741v1_ufig1.gif" ALT="Figure 1"> View larger version (76K): org.highwire.dtl.DTLVardef@1897489org.highwire.dtl.DTLVardef@1420587org.highwire.dtl.DTLVardef@178e8ddorg.highwire.dtl.DTLVardef@1003b44_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Transcriptomic Response to Neuromuscular Electrical Stimulation in Muscle, Brain and Plasma EVs in WT and Klotho-deficient Mice

Neuromuscular electrical stimulation (NMES) was shown to improve motor activities and daily living. Prior studies indicated extracellular vesicles (EVs) play a role in cellular communication. Here, we evaluated transcriptomic profiles of tibialis anterior muscle, brain, and plasma-derived EVs following NMES of WT and Klotho heterozygous (KlHET). Muscle RNA-seq data demonstrated that in both genotypes the most upregulated functional categories were related to glucose metabolism and response to insulin with pathways uniquely affected in each genotype. There was a similarity of non-coding RNA transcriptome of plasma EVs with functional patterns suggesting response to oxygen and insulin, and long-term synaptic potentiation. Brain transcriptome showed little functional overlap between WT and KlHET mice. In WT, brain upregulation of genes were related to blood flow and cell adhesion processes while KlHET shows upregulation of immune function. Results indicate that similar metabolic function is impacted in the location of stimulation, but the distal impact of stimulation on the brain is associated with Klotho deficiency.

genomics↗

bioRxiv2025

Caffeine Impairs Red Blood Cell Storage Quality by Dual Inhibition of ADORA2b Signaling and G6PD Activity

Caffeine is the most widely consumed psychoactive substance globally, yet its peripheral physiological effects remain incompletely understood. Leveraging comprehensive data from 13,091 blood donors in the REDS RBC-Omics study, we identify caffeine as a significant modulator of red blood cell (RBC) storage quality and transfusion outcomes. Elevated caffeine levels were reproducible across multiple donations from 643 recalled donors, selected based on their extremes in hemolytic propensity. Both in the screening and recalled cohorts, higher caffeine levels were associated with disrupted RBC metabolism, characterized by reduced glycolysis, depletion of adenylate pools or 2,3-bisphosphoglycerate, and increased markers of oxidative stress and osmotic fragility, including kynurenine accumulation. These observations were recapitulated in plasma and RBCs of eight volunteers upon consumption of a cup of coffee independently of brewing method (Chemex vs espresso). Clinically, elevated caffeine correlated with increased hemolysis and lower post-transfusion hemoglobin increments, especially pronounced in recipients transfused with RBCs from donors carrying common polymorphisms in the ADORA2b gene, a key regulator of RBC metabolism in hypoxia. These human findings were mechanistically validated using a murine model deficient in ADORA2b, which demonstrated impaired glycolytic flux, compromised antioxidant defenses - including caffeine-dependent direct inhibition of recombinantly-expressed glucose 6-phosphate dehydrogenase, and decreased transfusion efficacy (lower hemoglobin increments, higher bilirubin post-transfusion), effects further exacerbated by caffeine exposure during storage. Our study positions caffeine consumption as a modifiable factor in blood transfusion practice, advocating for precision strategies that integrate genetic and exposome factors, and identifies metabolic interventions to enhance blood quality and clinical outcomes. One sentence summaryCaffeine consumption and genetic variants in the ADORA2b receptor synergistically impair red blood cell metabolism and transfusion efficacy, revealing a modifiable exposome-gene interaction for precision transfusion medicine.

biochemistry↗

bioRxiv2025

Classification of Urticaceae based on morphology and phylogenetic inference

The Urticaceae (ca. 2600 species) were first formally recognized by Jussieu in the 18th century and last comprehensively monographed by Weddell in the 19th century. Since Weddells work, family delimitation has been modified and many genera described in a fragmented manner. Over the past two decades, numerous molecular studies have supported the inclusion of Cecropiaceae within Urticaceae and identified paraphyly in several genera, notably Laportea, Urera, Boehmeria, Parietaria, Pellionia, and Pouzolzia. However, few studies have translated these molecular insights into a revised taxonomy. This study aimed to provide a robust, updated classification for Urticaceae by: a) increasing taxon and genomic locus sampling through the integration of newly generated sequence data with previously published datasets; and b) incorporating morphological data to support a revised delimitation of tribes and genera, and to establish a new linear sequence for the family. We also sought to identify remaining taxonomic challenges. Using Sanger and Angiosperms353 sequence data, we constructed a phylogenetic framework for 57 out of 59 currently accepted genera. We also assessed the phylogenetic informativeness of 57 morphological characters by mapping them onto the phylogeny. Our analyses support the delimitation of 61 monophyletic genera and an infrafamilial classification comprising seven tribes, two of which we describe as new: Myriocarpeae and Leukosykeae. We provide a revised linear sequence for the family. Our classification reinstates several names previously treated as synonyms (Fleurya, Leptocnide, Margarocarpus, Polychroa, Scepocarpus, Sceptrocnide), places several genera in synonymy (Hemistylus and Rousselia under Pouzolzia; Hesperocnide under Urtica; Gesnouinia and Soleirolia under Parietaria), and proposes the recognition of two new genera, Muimar gen. nov. and Pouzolziella gen. nov., to accommodate Boehmeria nivea and Pouzolzia australis, respectively. Mapping morphological characters onto the phylogeny indicates that while most states are homoplastic at the family level, their combination is valuable for recognizing genera. Geographic character mapping suggests a high degree of spatial conservatism at the genus rank. Our dated ultrametric tree suggests an origin for Urticaceae in Indomalaya during the mid-Cretaceous, followed by establishment in the Laurasian boreotropical flora and subsequent dispersal to the neotropics and Africa. Once classified within an evolutionary framework we believe that the Urticaceae represent a valuable study system in evolutionary biology for investigating transitions across biomes, the drivers of floral trait evolution, and intrinsic speciation mechanisms. New tribes: --Leukosykeae, Myriocarpeae New genera: --Muimar, Pouzolziella

evolutionary biology↗

bioRxiv2024

Long-read sequencing of hundreds of diverse brains provides insight into the impact of structural variation on gene expression and DNA methylation

Structural variants (SVs) drive gene expression in the human brain and are causative of many neurological conditions. However, most existing genetic studies have been based on short-read sequencing methods, which capture fewer than half of the SVs present in any one individual. Long-read sequencing (LRS) enhances our ability to detect disease-associated and functionally relevant structural variants; however, its application in large-scale genomic studies has been limited by challenges in sample preparation and high costs. Here, we leverage a new scalable wet-lab protocol and computational pipeline for whole-genome Oxford Nanopore Technologies sequencing and apply it to neurologically normal control samples from the North American Brain Expression Consortium (NABEC) (European ancestry) and Human Brain Collection Core (HBCC) (African or African admixed ancestry) cohorts. Through this work, we present a publicly available long-read resource from 351 human brain samples (median N50: 27 Kbp and at an average depth of ~40x genome coverage). We discover approximately 234,905 SVs and produce locally phased assemblies that cover 95% of all protein-coding genes in GRCh38. To resolve cis-regulatory effects, we develop ASM-LR, a method for allele-specific methylation analysis from long-read data, revealing both strong and subtle regulatory effects, including numerous novel methylation QTLs masked in unphased models. Our results highlight the power of haplotype-resolved methylation to uncover regulatory mechanisms and establish a foundational resource for exploring how genetic variation shapes gene expression and epigenetic architecture across diverse ancestries.

genomics↗

bioRxiv2024

Decreased SNCA Expression in Whole-Blood RNA Analysis of Parkinson's Disease Adjusting for Lymphocytes

Blood-based RNA transcriptomics offers a promising avenue for identifying biomarkers of Parkinsons Disease (PD) progression and may provide mechanistic insights into the systemic biological processes underlying its pathogenesis beyond the well-defined neurodegenerative features. Previous studies have indicated an age-dependent increase in neutrophil-enriched gene expression, alongside a reduction in lymphocyte counts, in individuals with PD. These immune cell changes can obscure disease-relevant transcriptomic signals. In this study, we performed differential expression (DE) analysis of whole-blood RNA sequencing data from PD cohorts, incorporating a correction for immune cell-enriched gene expression, particularly neutrophil-related pathways, to improve the resolution of PD-associated molecular changes. Using 1,254 Parkinsons Progression Markers Initiative (PPMI) samples with complete blood count (CBC) data, we developed a predictive model to estimate neutrophil percentages in a 6,987 PPMI and Parkinsons Disease Biomarkers Program (PDBP) samples. We mitigated the confounding effects of immune cell-enriched gene expression by integrating predicted neutrophil percentages as a covariate in DE analysis. This approach revealed a consistent and significant downregulation of SNCA across all PD cohorts, a finding previously obscured by immune cell signatures. Lowered SNCA expression was found in individuals with known predisposition genes (e.g., SNCA, GBA, LRRK2) and in non-genetic PD cohorts lacking known pathogenic mutations, suggesting it may represent a key transcriptomic hallmark of the disease.

bioinformatics↗

bioRxiv2024

Identification of potential sepsis therapeutic drugs using a zebrafish rapid screening approach

In the military, combat wound infections can progress rapidly to life-threatening sepsis. Discovery of effective small molecule drugs to prevent and/or treat sepsis is a priority. To identify potential sepsis drug candidates, we used an optimized larval zebrafish model of endotoxicity/sepsis (Philip et al., 2017) to screen commercial libraries of U.S. Food and Drug Administration (FDA)- approved drugs and other active pharmaceutical ingredients (API) known to affect pathways implicated in the initiation and progression of sepsis in humans (i.e., inflammation, mitochondrial dysfunction, coagulation, and apoptosis). We induced endotoxicity in 3- and 5-day post fertilization larval zebrafish (characterized by mortality and tail fin edema (vascular leakage)) by immersion exposure to Pseudomonas aeruginosa 60 g/mL lipopolysaccharide (LPS) for 24 hours, then screened for the rescue potential of 644 selected drugs simultaneously with LPS at 10 M. After LPS exposure, we used a neurobehavioral assay (light-dark test) to further evaluate rescue from endotoxicity and to determine possible off-target drug side effects. We identified 29 drugs with > 60% rescue of tail edema and mortality. Three drugs (Ketanserin, Tegaserod, and Brexpiprazole) produced 100% rescue and did not differ from the controls in the light-dark test, suggesting a lack of off-target neurobehavioral effects. Further testing of these three drugs at a nearly 100% lethal concentration of Klebsiella pneumoniae LPS (45 g/mL) showed 100% rescue from mortality and 88%-100% mitigation against tail edema. The success of the three identified drugs in a zebrafish endotoxicity/sepsis model warrants further evaluation in mammalian sepsis models.

pharmacology and toxicology↗

bioRxiv2024

MyVivarium: A cloud-based lab animal colony management application with near-realtime ambient sensing

Management of research-animal colonies is vital for lab productivity in preclinical research. Labs often rely on inefficient paper-based or spreadsheet-based methods to manage animal colonies. Dedicated software-based solutions are generally expensive and many lack remote access. Currently available open-source alternatives are difficult to implement and deploy. These solutions also do not have the capability to track ambient variables that affect colony well-being. We built MyVivarium, an open-source database management web application to address these gaps. MyVivarium can be easily deployed to the cloud and sustained for a cost comparable to starting and maintaining a lab website. Using MyVivarium, lab members can collaboratively track individual animals within a database. Physical identities of cages map onto the database using QR codes, enabling quick and easy record-keeping on mobile devices. Lab administrators can assign tasks to users with reminders for experiments or cage maintenance. Finally, we designed a low-cost system to sense ambient humidity, temperature, vivarium worker activity, and room illuminance. These data are then sent to MyVivarium in realtime providing information relevant to colony well-being. Taken together, MyVivarium is a novel, open-source, cloud-based application template that provides a low-cost, simple, and efficient way to digitally manage research-animal colonies.

bioinformatics↗

bioRxiv2023

Biological and Genetic Determinants of Red Blood Cell Glycolysis

Mature red blood cells (RBCs) lack mitochondria, and thus exclusively rely on glycolysis to generate adenosine triphosphate (ATP) during aging in vivo or storage in the blood bank. Here we leveraged 13,029 volunteers from the Recipient Epidemiology and Donor Evaluation Study to identify an association between end-of-storage levels of glycolytic metabolites and donor age, sex, and ancestry-specific genetic polymorphisms in regions encoding phosphofructokinase 1, platelet (detected in mature RBCs), hexokinase 1, ADP-ribosyl cyclase 1 and 2 (CD38/BST1). Gene-metabolite associations were validated in fresh and stored RBCs from 525 Diversity Outbred mice, and via multi-omics characterization of 1,929 samples from 643 human RBC units during storage. ATP and hypoxanthine levels - and the genetic traits linked to them - were associated with hemolysis in vitro and in vivo, both in healthy autologous transfusion recipients and in 5,816 critically ill patients receiving heterologous transfusions, suggesting their potential as markers to improve transfusion outcomes. eTOC and Highlights O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/557250v4_ufig1.gif" ALT="Figure 1"> View larger version (87K): org.highwire.dtl.DTLVardef@1a556b7org.highwire.dtl.DTLVardef@1e02b13org.highwire.dtl.DTLVardef@2bfab1org.highwire.dtl.DTLVardef@15787e3_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIBlood donor age and sex affect glycolysis in stored RBCs from 13,029 volunteers; C_LIO_LIAncestry, genetic polymorphisms in PFKP, HK1, CD38/BST1 influence RBC glycolysis; C_LIO_LIModeled PFKP effects relate to preventing loss of the total AXP pool in stored RBCs; C_LIO_LIATP and hypoxanthine are biomarkers of hemolysis in vitro and in vivo. C_LI

biochemistry↗

bioRxiv2023

Analytical code sharing practices in biomedical research

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, affects transparency and reproducibility of studies, which are critical to the advancement of science. Many published studies are not reproducible due to insufficient documentation, code, and data being shared. We conducted a comprehensive analysis of 453 manuscripts published between 2016-2021 and found that 50.1% of them fail to share the analytical code. Even among those that did disclose their code, a vast majority failed to offer additional research outputs, such as data. Furthermore, only one in ten papers organized their code in a structured and reproducible manner. We discovered a significant association between the presence of code availability statements and increased code availability (p=2.71x10-9). Additionally, a greater proportion of studies conducting secondary analyses were inclined to share their code compared to those conducting primary analyses (p=1.15*10-07). In light of our findings, we propose raising awareness of code sharing practices and taking immediate steps to enhance code availability to improve reproducibility in biomedical research. By increasing transparency and reproducibility, we can promote scientific rigor, encourage collaboration, and accelerate scientific discoveries. We must prioritize open science practices, including sharing code, data, and other research products, to ensure that biomedical research can be replicated and built upon by others in the scientific community.

scientific communication and education↗

bioRxiv2023

The mouse dorsal peduncular cortex encodes fear memory

The rodent medial prefrontal cortex (mPFC) is a locus for both the promotion and suppression (e.g. extinction) of fear and is composed of four anatomically distinct subregions, including anterior cingulate 1 (Cg1), prelimbic (PL), infralimbic (IL), and the dorsal peduncular (DP) cortex. A vast majority of studies have focused on Cg1, PL, and IL. The Cg1 and PL have been implicated in the promotion of fear, while the IL has been linked to a role in the suppression, or extinction, of fear. Due to its anatomical location ventral to IL, the DP has been hypothesized to function as a fear-suppressing brain region however, no studies have explicitly tested its role in this function or in the regulation of memory generally. Moreover, some studies have pointed towards a dichotomous role for ventral mPFC in the dual suppression and promotion of fear, but the mechanisms underlying these opposing observations remains unclear. Here, we provide evidence that the DP paradoxically functions as a cued fear-encoding brain region and plays little to no role in fear memory extinction. By using a combination of cFos immunohistochemistry, whole-cell brain slice electrophysiology, fiber photometry, and activity-dependent neural tagging, we demonstrate that DP neurons exhibit learning-related plasticity, acquire cue-associated activity across learning and memory retrieval, and that DP neurons activated by learning are preferentially reactivated upon fear memory retrieval. Further, optogenetic activation and silencing of fear learning-related DP neural ensembles drives the promotion and suppression of freezing, respectively. Overall, these data suggest that the DP plays an unexpected role in fear memory encoding. More broadly, our results reveal new principles of organization across the dorsoventral axis of the mPFC.

neuroscience↗

bioRxiv2022

A computational model of Pseudomonas syringae metabolism unveils the role of branched-chain amino acids in virulence expression at the early stages of Arabidopsis colonization

Leaf mesophyll-colonizing bacterial pathogens infect their plant hosts by adjusting their metabolism to the leaf mesophyll environment. Soon after the inoculation of naive, susceptible plants, the model bacterial pathogen Pseudomonas syringae pv. tomato DC3000 (PstDC3000) expresses virulence factors that suppress plant immunity, a requirement to produce robust infections. However, if plant immunity was elicited with Microbe-Associated Molecular-Patterns (MAMPs) prior to bacterial inoculation, PstDC3000 slows down virulence expression and only produces symptomless mild infections. To understand how bacterial metabolism adapts to these two contrasting conditions, we created iPst19, an in silico ensemble of genome-scale metabolic reconstructions. Constraining the in silico growth of iPst19 with in planta PstDC3000 gene expression data revealed that sugar catabolism is highly active in bacteria that have been inoculated in mock-treated plants. In contrast, branched-chain amino acids (BCAAs) catabolism is highly active in bacteria that have been inoculated in MAMP-pretreated plants. Bacterial growth and gene expression analysis showed that BCAAs suppress virulence gene expression without affecting bacterial growth in vitro. In planta, however, BCAAs suppress the expression of virulence genes at the early stages of the infection and significantly impair leaf colonization of the host plant Arabidopsis thaliana. While the overexpression of the conserved bacterial leucine-responsive transcriptional regulator Lrp induced the expression of virulence genes, its downregulation had the opposite effect, suggesting that BCAA-free Lrp induces virulence while BCAA-Lrp does not. Overall, our data provide mechanistic connections to understand how plant immunity impacts PstDC3000 metabolism and virulence, furthering our understanding of bacterial pathogenesis and plant disease.

microbiology↗

bioRxiv2022

Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors

The Red Blood Cell (RBC)-Omics study, part of the larger NHLBI-funded Recipient Epidemiology and Donor Evaluation Study (REDS-III), aims to understand the genetic contribution to blood donor RBC characteristics. Previous work identified donor demographic, behavioral, genetic and metabolic underpinnings to blood donation, storage, and - to a lesser extent - transfusion outcomes, but none have yet linked the genetic and metabolic bodies of work. We performed a Genome-Wide Association (GWA) analysis using RBC-Omics study participants with generated untargeted metabolomics data to identify metabolite quantitative trait loci (mQTL) in RBCs. We performed GWA analyses of 382 metabolites in 243 individuals imputed using the 1000 Genomes Project phase 3 all-ancestry reference panel. Analyses were conducted using ProbABEL and adjusted for sex, age, donation center, number of whole blood donations in the past two years, and first ten principal components of ancestry. Our results identified 423 independent genetic loci associated with 132 metabolites (p < 5x10-8). Potentially novel locus-metabolite associations were identified for FLVCR1 and choline, and for LPCAT3 and the lysophosphatidylserine 16.0, 18.0, 18.1, and 18.2; these associations are supported by published rare disease and mouse studies. We also confirmed previous metabolite GWA results for associations including N(6)-Methyl-L-lysine and PYROXD2, and various carnitines and SLC22A16. Association between pyruvate levels and G6PD polymorphisms was validated in an independent cohort and novel murine models of G6PD deficiency (African and Mediterranean variants). We demonstrate that it is possible to perform metabolomics-scale GWA analyses with a modest, trans-ancestry sample size. Key pointsO_LIMetabolite heterogeneity in fresh (<14 day old) RBCs donated by volunteer donors is linked to genetic polymorphisms; C_LIO_LIWe report 2,831 high-confidence SNP-metabolite linkages (p < 5.0 x 10-8). Pyruvate levels in fresh RBCs are associated with glucose-6-phosphate dehydrogenase (G6PD) status C_LI

biochemistry↗

bioRxiv2022

Latent human herpesvirus 6 is reactivated in chimeric antigen receptor T cells

Cell therapies have yielded durable clinical benefits for patients with cancer, but the risks associated with the development of therapies from manipulated human cells are still being understood. For example, we currently lack a comprehensive understanding of the mechanisms of neurotoxicity observed in patients receiving T cell therapies, including recent reports of encephalitis caused by human herpesvirus 6 (HHV-6) reactivation1. Here, via petabase-scale viral RNA data mining, we examine the landscape of human latent viral reactivation and demonstrate that HHV-6B can become reactivated in human CD4+ T cells in standard in vitro cultures. Using single-cell sequencing, we identify a rare population of HHV-6 super-expressors (~1 in 300-10,000 cells) that possess high viral transcriptional activity in chimeric antigen receptor (CAR) T cell culture before spreading to infect other cells in vitro. Through the analysis of single-cell sequencing data from patients receiving cell therapy products that are FDA-approved2 or used in clinical studies3,4, we identify the presence of CAR+, HHV-6 super-expressor T cells in vivo. Together, our study implicates cell therapy products as a source of lytic HHV-6 reported in clinical trials1,5-7 and has broad implications for the design, production, and monitoring of cell therapies.

immunology↗