Biology subjects

Kirby, M.

Publications and source records attributed to Kirby, M..

11 recordsLinked to original sources

bioRxiv2025

Progesterone regulation of cervix ripening in preterm and term birth

The cervix functions both as gatekeeper barrier to maintain pregnancy and virtually vanish for birth at term in mammals. The period of remodeling well-before term is characterized by an inflammatory process associated with reduced cell nuclei density and cross-linked collagen, as well as increased density of resident macrophages in cervix stroma. Contemporarily, progesterone (P4) is at or near peak concentrations in maternal circulation. The functional or actual loss of response to P4 is thought to drive the process that enhances uterine contractile activity for labor and parturition at term. The objective of the present study was to determine if actual or functional loss of P4 regulated cytomorphological characteristics associated with prepartum cervix ripening at term and with preterm birth. On day 16 of pregnancy. Ovaries were removed to eliminate the main source of P4 production and a silastic capsule implanted (with vehicle or P4, Ovx or Ovx+P4, respectively). Controls received a vehicle-filled capsule, while a P4 capsule was implanted into an addition group of Intact mice to ensure sustained concentrations throughout pregnancy (Intact+P4). Pups were born in controls at term (days 19-20 postbreeding), but deliveries were preterm in Ovx mice within 24h (day 17). In the Ovx+P4 group, births were delayed to term and post-term in most Intact+P4 mice with adverse pregnancy outcomes commonplace. Characteristics of cell nuclei and degradation of cross-linked collagen were advanced with preterm birth in Ovx mice compared to controls that gave birth by at term. Treatment of Ovx mice with P4 blocked preterm birth, but parturition was complicated by dystocia. In addition, P4 given to ovary-intact mice sustained peak pregnancy concentrations, but had minimal effects on cytoarchitecture of the prepartum cervix stroma except term birth was forestalled with dystocia and fetal morbidity. Density of resident macrophages in the cervix stroma in term Ovx+P4 mice was reduced along with area of macrophage stain versus postpartum controls. Thus, analyses of cervix cellular cytoarchitecture provided useful biomarkers of local inflammation to assessment the ripening process for preterm and term parturition. Collectively, findings suggest a functional loss of prepartum cervix responses to progesterone are part of a final common mechanism for parturition across mammals. SummaryLoss of response to progesterone withdrawal is associated with cervix ripening while some cytoarchitectural characteristics of remodeling are regulated to block preterm birth and dystocia at term

physiology↗

bioRxiv2024

Transfer Learning Models for Bacterial Strain Dissemination Biomarkers using Weighted Non-Parallel Proximal Support Vector Machines

This paper develops optimization and Machine Learning (ML) algorithms to analyze gene expression datasets from the lungs and spleen of mice, infected intranasally, with two bacterial strains, Francisella tularensis - Schu4 and Live Vaccine Strain (LVS). We propose and utilize Weighted[l] 1-norm Generalized Eigenvalue-type Problems ([l]1-WGEPs) to determine a small set of host biomarkers that report Schu4 and LVS infection of the lungs and dissemination to the spleen. The optimal solutions of[l] 1-WGEPs determine the direction onto which the datasets are projected for dimensionality reduction, with the projection scores computed and ranked for gene selection. The top k-ranked projection scores correspond to the top k most informative biomarker features. The top k features selected from the lungs data are employed to train ML models, with uninfected controls and Schu4 or LVS samples as classes. The trained models are validated on the spleen data to incorporate transfer learning. Baseline ML algorithms such as ANN, XGBoost, AdaBoost, AdaGrad, KNN, SVM, Naive Bayes, Random Forest, Logistic Regression, and Decision Tree are compared with our Weighted[l] 1-norm Non-Parallel Proximal Support Vector Machine ([l]1-WNPSVM) that is based on two non-parallel separating hyperplanes. We report average balanced accuracy scores of the methods over multiple folds. Gene ontology is performed on the most significant genes in both tissues to reveal biomarkers of disease and examine for relevant metabolic pathways for host-directed therapeutics development and treatment performance. Author SummaryIntegrating genomic datasets from homogeneous or heterogeneous sources is an area that is currently underexplored. This work develops new methodologies to integrate transcriptomic datasets from the lungs and spleen tissues infected by Francisella tularensis -- Schu4 and Live Vaccine Strain (LVS). Our objective is to identify biologically relevant gene features indicative of respiratory infection, disease severity, and bacterial dissemination to the spleen, then utilize the selected features to predict disease status using our Weighted[l] 1-norm Non-Parallel Support Vector Machines ([l]1-WNPSVM), which is trained on the lungs data and validated on the spleen data, introducing a form of transfer learning. The[l] 1-WNPSVM outperforms traditional ML techniques, achieving a 97% balanced accuracy. It also generalizes to models of similar formulations, incorporating dimensionality reduction and gene selection into the NPSVM-type framework. Currently, a direct application of existing NPSVM-type methods to analyze gene expression datasets, where the number of genes significantly exceeds the number of samples, is computationally impractical due to their large memory requirements. This work addresses this challenge. We discovered sets of 253 genes exclusively expressed in the lungs and spleen tissues. Gene ontology is performed to reveal underlying metabolic pathways. Our analysis shows that the immune system pathway is activated in both lungs and spleen.

bioinformatics↗

bioRxiv2024

Comparative study of enriched dopaminergic neurons from siblings with Gaucher disease discordant for parkinsonism

Inducible pluripotent stem cells (iPSCs) derived from patient samples have significantly enhanced our ability to model neurological diseases. Comparative studies of dopaminergic (DA) neurons differentiated from iPSCs derived from siblings with Gaucher disease discordant for parkinsonism provides a valuable avenue to explore genetic modifiers contributing to GBA1-associated parkinsonism in disease-relevant cells. However, such studies are often complicated by the inherent heterogeneity in differentiation efficiency among iPSC lines derived from different individuals. To address this technical challenge, we devised a selection strategy to enrich dopaminergic (DA) neurons expressing tyrosine hydroxylase (TH). A neomycin resistance gene (neo) was inserted at the C-terminus of the TH gene following a T2A self-cleavage peptide, placing its expression under the control of the TH promoter. This allows for TH+ DA neuron enrichment through geneticin selection. This method enabled us to generate comparable, high-purity DA neuron cultures from iPSC lines derived from three sisters that we followed for over a decade: one sibling is a healthy individual, and the other two have Gaucher disease (GD) with GBA1 genotype N370S/c.203delC+R257X (p.N409S/c.203delC+p.R296X). Notably, the younger sister with GD later developed Parkinson disease (PD). A comprehensive analysis of these high-purity DA neurons revealed that although GD DA neurons exhibited decreased levels of glucocerebrosidase (GCase), there was no substantial difference in GCase protein levels or lipid substrate accumulation between DA neurons from the GD and GD/PD sisters, suggesting that the PD discordance is related to of other genetic modifiers.

neuroscience↗

bioRxiv2024

An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries

Antibodies are engineerable quantities in medicine. Learning antibody molecular recognition would enable the in silico design of high affinity binders against nearly any proteinaceous surface. Yet, publicly available experiment antibody sequence-binding datasets may not contain the mutagenic, antigenic, or antibody sequence diversity necessary for deep learning approaches to capture molecular recognition. In part, this is because limited experimental platforms exist for assessing quantitative and simultaneous sequence-function relationships for multiple antibodies. Here we present MAGMA-seq, an integrated technology that combines multiple antigens and multiple antibodies and determines quantitative biophysical parameters using deep sequencing. We demonstrate MAGMA-seq on two pooled libraries comprising mutants of ten different human antibodies spanning light chain gene usage, CDR H3 length, and antigenic targets. We demonstrate the comprehensive mapping of potential antibody development pathways, sequence-binding relationships for multiple antibodies simultaneously, and identification of paratope sequence determinants for binding recognition for broadly neutralizing antibodies (bnAbs). MAGMA-seq enables rapid and scalable antibody engineering of multiple lead candidates because it can measure binding for mutants of many given parental antibodies in a single experiment.

biochemistry↗

bioRxiv2023

Collaborative Cross mice have diverse phenotypic responses to infection with Methicillin-resistant Staphylococcus aureus USA300

Staphylococcus aureus (S. aureus) is an opportunistic pathogen causing diseases ranging from mild skin infections to life threatening conditions, including endocarditis, pneumonia, and sepsis. To identify host genes modulating this host-pathogen interaction, we infected 25 Collaborative Cross (CC) mouse strains with methicillin-resistant S. aureus (MRSA) and monitored disease progression for seven days using a surgically implanted telemetry system. CC strains varied widely in their response to intravenous MRSA infection. We identified eight susceptible CC strains with high bacterial load, tissue damage, and reduced survival. Among the surviving strains, six with minimal colonization were classified as resistant, while the remaining six tolerated higher organ colonization ( tolerant). The kidney was the most heavily colonized organ, but liver, spleen and lung colonization were better correlated with reduced survival. Resistant strains had higher pre-infection circulating neutrophils and lower post-infection tissue damage compared to susceptible and tolerant strains. We identified four CC strains with sexual dimorphism: all females survived the study period while all males met our euthanasia criteria earlier. In these CC strains, males had more baseline circulating monocytes and red blood cells. We identified several CC strains that may be useful as new models for endocarditis, myocarditis, pneumonia, and resistance to MRSA infection. Quantitative Trait Locus (QTL) analysis identified two significant loci, on Chromosomes 18 and 3, involved in early susceptibility and late survival after infection. We prioritized Npc1 and Ifi44l genes as the strongest candidates influencing survival using variant analysis and mRNA expression data from kidneys within these intervals. Author SummaryMethicillin-resistant Staphylococcus aureus is a human opportunistic pathogen that can cause life-threatening diseases. To study the influence of host genetics on the outcome of MRSA infection, we infected a collection of genetically diverse mice. We identified different phenotypes for survival, organ colonization, and tissue damage, and classified CC strains into MRSA susceptible, tolerant, and resistant categories. We identified several parameters that correlated with these phenotypes. Four CC strains exhibited strong sexual dimorphism in infection outcome: females lived longer, and males had higher baseline circulating monocytes and red blood cells. Several of the CC strains we characterize may represent better animal models for diseases caused by MRSA. QTL analysis identified two genes, Npc1 and Ifi44l, as strong candidates for involvement in early susceptibility and late survival after MRSA infection. Our data suggests a strong involvement of host genetics in MRSA infection outcome.

microbiology↗

bioRxiv2022

Elucidating Mechanisms of Tolerance to Salmonella Typhimurium Across Long-Term Infections Using the Collaborative Cross

Understanding the molecular mechanisms underlying resistance and tolerance to pathogen infection may present the opportunity to develop novel interventions. Resistance is the absence of clinical disease with low pathogen burden, while tolerance is minimal clinical disease in the face of high pathogen burden. Salmonella is a worldwide health concern. We studied 18 strains of Collaborative Cross mice that survive acute Salmonella Typhimurium (STm) infections. We infected these strains orally and monitored them for three weeks post-infection. Five strains cleared STm by the end of the experiment (resistant), while 6 strains maintained a bacterial load and survived to the end of the experiment (tolerant). The remaining 7 strains survived longer than 7 days but succumbed to infection before the end of the study period and were called "delayed susceptible" to differentiate them from strains that do not survive to day 7 (susceptible). Tolerant strains were colonized in Peyers patches, mesenteric lymph node, spleen and liver, while resistant strains had significantly reduced bacterial colonization. Tolerant strains had lower pre-infection core body temperatures than both delayed susceptible and resistant strains and had disrupted circadian patterns of body temperature post-infection sooner than resistant strains. Tolerant strains had higher circulating total white blood cells than resistant strains, driven by increased numbers of neutrophils. Tolerant strains had more severe tissue damage and higher circulating levels of MCP-1 and IFN-{gamma}, but lower levels of ENA-78 than resistant strains. QTL analysis revealed 1 significant association and 6 suggestive associations. RNA-seq analysis identified 22 genes that are differentially regulated in tolerant versus resistant animals that overlapped with the QTLs we identified and allowed us to identify the top 5 canonical pathways. Fibrinogen genes (Fga, Fgb, and Fgg) were found across the QTL, RNA, and top canonical pathways making them the best candidate genes for differentiating tolerance and resistance. Author SummaryAn infected host can respond in multiple ways to bacterial infection including resistance and tolerance. Resistance is a decrease in pathogen load, while in tolerance mild clinical signs are present despite high pathogen load. We infected a collection of 18 strains of genetically diverse mice with Salmonella Typhimurium for up to three weeks. Five strains were resistant, 6 strains were tolerant, and the remaining 7 strains survived an intermediate amount of time ("delayed susceptible"). Tolerant strains maintained bacterial load across several organs, while resistant strains reduced bacterial load. Tolerant strains had the lowest pre-infection core body temperatures and the most rapid disruption in circadian patterns of body temperature post-infection. Tolerant strains had higher circulating neutrophils, higher circulating levels of MCP-1 and IFN-{gamma}, but lower levels of ENA-78 than resistant strains, in addition to more severe tissue damage than resistant strains. QTL analysis revealed multiple associated regions, and gene expression analysis identified 22 genes that are differentially regulated in tolerant versus resistant animals in these regions. Fibrinogen genes (Fga, Fgb, and Fgg) were found across the QTL, RNA, and top canonical pathways making them the best candidate genes for differentiating tolerance and resistance.

genetics↗

bioRxiv2022

Genetic background influences survival of infections with Salmonella enterica serovar Typhimurium in the Collaborative Cross

Salmonella infections typically cause self-limiting gastroenteritis, but in some individuals these bacteria can spread systemically and cause disseminated disease. Salmonella Typhimurium (STm), which causes severe systemic disease in most inbred mice, has been used as a model for disseminated disease. To screen for new infection phenotypes across a range of host genetics, we orally infected 32 Collaborative Cross (CC) mouse strains with STm and monitored their disease progression for seven days by telemetry. Our data revealed a broad range of phenotypes across CC strains in many parameters including survival, bacterial colonization, tissue damage, complete blood counts (CBC), and serum cytokines. Eighteen CC strains survived to day 7, while fourteen susceptible strains succumbed to infection before day 7. Several CC strains had sex differences in survival and colonization. Surviving strains had lower pre-infection baseline temperatures and were less active during their daily active period. Core body temperature disruptions were detected earlier after STm infection than activity disruptions, making temperature a better detector of illness. All CC strains had STm in spleen and liver, but susceptible strains were more highly colonized. Tissue damage was weakly negatively correlated to survival. We identified loci associated with survival on Chromosomes (Chr) 1, 2, 4, 7. Polymorphisms in Ncf2 and Slc11a1, known to reduce survival in mice after STm infections, are located in the Chr 1 interval, and the Chr 7 association overlaps with a previously identified QTL peak called Ses2. We identified two new genetic regions on Chr 2 and 4 associated with susceptibility to STm infection. Our data reveal the diversity of responses to STm infection across a range of host genetics and identified new candidate regions for survival of STm infection. Author SummarySalmonella Typhimurium (STm) infections typically cause self-limiting diarrheal symptoms, but in some individuals, the bacteria can spread throughout the body and cause life-threatening infection. We used a population of genetically different mice (Collaborative Cross) to identify their range of responses to STm infection. We identified a broad range of outcomes across these different mice, including a group of mice susceptible to lethal infection and a group that survived our 7 day study. We found that mice that survived STm infection had a cooler core body temperature before infection than susceptible mice, while remaining active. Thus, body temperature, rather than activity, appears to be a better predictor of poor outcomes after STm infection. We identified several regions of the mouse genome that are associated with outcome after STm infection. One of these regions, mouse Chromosome (Chr) 1 has genes that are already known to influence susceptibility to STm infection. Two other regions that we identified to influence survival after STm infection, located on mouse Chr 2 and 4, are novel and contain numerous genes of interest that may be linked to susceptibility. Our work defines the utility of exploring how host genetic diversity influences infection outcomes with bacterial pathogens.

genetics↗

bioRxiv2021

Redundant mechanisms driven independently by RUNX1 and GATA2 for hematopoietic development

RUNX1 is essential for the generation of hematopoietic stem cells (HSCs). Runx1 null mouse embryos lack definitive hematopoiesis and die in mid-gestation. However, even though zebrafish embryos with a runx1 W84X mutation have defects in early definitive hematopoiesis, some runx1W84X/W84X embryos can develop to fertile adults with blood cells of multi-lineages, raising the possibility that HSCs can emerge without RUNX1. Here, using three new zebrafish runx1-/- lines we uncovered the compensatory mechanism for runx1-independent hematopoiesis. We show that, in the absence of a functional runx1, a cd41-GFP+ population of hematopoietic precursors still emerge from the hemogenic endothelium and can colonize the hematopoietic tissues of the mutant embryos. Single-cell RNA sequencing of the cd41-GFP+ cells identified a set of runx1-/--specific signature genes during hematopoiesis. Significantly, gata2b, which normally acts upstream of runx1 for the generation of HSCs, was increased in the cd41-GFP+ cells in runx1- /- embryos. Interestingly, genetic inactivation of both gata2b and its paralog, gata2a, did not affect hematopoiesis. However, knocking out runx1 and any three of the four alleles of gata2a and gata2b abolished definitive hematopoiesis. Gata2 expression was also upregulated in hematopoietic cells in Runx1-/- mice, suggesting the compensatory mechanism is conserved. Our findings indicate that RUNX1 and GATA2 serve redundant roles for HSC production, acting as each others safeguard. Key pointsO_LIExistence of RUNX1-independent mechanisms for the generation of HSCs and the development of functional definitive hematopoietic cells C_LIO_LIGATA2 and RUNX1 functionally complement each other for their respective roles during hematopoiesis C_LI

genetics↗

bioRxiv2021

One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screening

The potential emergence of SARS-CoV-2 Spike (S) escape mutants is a threat to reduce the efficacy of existing vaccines and neutralizing antibody (nAb) therapies. An understanding of the antibody/S escape mutations landscape is urgently needed to preemptively address this threat. Here we describe a rapid method to identify escape mutants for nAbs targeting the S receptor binding site. We identified escape mutants for five nAbs, including three from the public germline class VH3-53 elicited by natural COVID-19 infection. Escape mutations predominantly mapped to the periphery of the ACE2 recognition site on the RBD with K417, D420, Y421, F486, and Q493 as notable hotspots. We provide libraries, methods, and software as an openly available community resource to accelerate new therapeutic strategies against SARS-CoV-2. One Sentence SummaryWe present a facile method to identify antibody escape mutants on SARS-CoV-2 S RBD.

biochemistry↗

bioRxiv2019

Personality may influence behavioral response to cannabis

The effects of cannabis reported by users range from experiences of euphoria and anxiolytic effects to paranoia, anxiety, and increased risk of depression. Attempts to reconcile the apparent contradictions in user response have not been conclusive. Here, we utilized selectively-bred stress-resilient socially dominant (Dom) and stress-sensitive socially submissive (Sub) mice to elucidate this contradiction. Following short-term, repeated treatment with delta-9-tetrahydrocannabinol (THC) at two different doses (1.5 mg/kg and 15 mg/kg), Sub mice presented significant place-aversion in a Conditioned Place Preference paradigm at a high dose, whereas Dom mice displayed no place preference or aversion. Forced Swim test conducted after 6-week of washout period, revealed differential impact of the two THC doses depending upon behavioral pattern. Specifically, the low dose alleviated depressive-like behavior in Sub mice, while the high dose produced the opposite effect in Dom mice. Interestingly, corticosterone concentration in serum was elevated at the high dose regardless of the mice-population tested. We conclude here that differences in dominance behavior and stress vulnerability are involved in the regulation of cannabis response among users and should be considered when prescribing THC-containing medications to patients.

animal behavior and cognition↗

bioRxiv2017

Estrogen and Soy Isoflavonoids Decrease Sensitivity of Medulloblastoma and Central Nervous System Primitive Neuroectodermal Tumor Cells to Chemotherapeutic Cytotoxicity

BackgroundOur previous studies demonstrated that growth and migration of medulloblastoma (MB), the most common malignant brain tumor in children, are stimulated by 17{beta}-estradiol. The growth stimulating effects of estrogens are mediated through ER{beta} and insulin-like growth factor 1 signaling to inhibit caspase 3 activity and reduce tumor cell apoptosis. The objective of this study was to determine whether estrogens decreased sensitivity of MB cells to cytotoxic actions of chemotherapeutic drugs.\n\nMethodsUsing in vitro cell viability and clonogenic survival assays, concentration response analysis was used to determine whether the cytoprotective effects of estradiol protected human D283 Med MB cells from the cytotoxic actions of the MB chemotherapeutic drugs cisplatin, vincristine, or lomustine. Additional experiments were done to determine whether the ER antagonist fulvestrant or the selective ER modulator tamoxifen blocked the cytoprotective actions of estradiol. ER-selective agonists and antagonists were used to define receptor specificity, and the impacts of the soy-derived phytoestrogens genistein, daidzein, and s-equol on chemosensitivity were evaluated.\n\nResultsIn D283 Med cells the presence of 10 nM estradiol increased the IC50 for cisplatin-induced inhibition of viability 2-fold from ~5 M to >10 M. In clonogenic survival assays estradiol decreased the chemosensitivity of D283 Med exposed to cisplatin, lomustine and vincristine. The ER{beta} selective agonist DPN and low physiological concentrations of the soy-derived phytoestrogens genistein, daidzein, and s-equol also decreased sensitivity of D283 Med cells to cisplatin. The protective effects of estradiol were blocked by the antiestrogens 4-hydroxytamoxifen, fulvestrant (ICI 182,780) and the ER{beta} selective antagonist PPHTP. Whereas estradiol also decreased chemosensitivity of PFSK1 cells, estradiol increased sensitivity of Daoy cell to cisplatin, suggesting that ER{beta} mediated effects may vary in different subtypes of MB.\n\nConclusionsThese findings demonstrate that E2 and environmental estrogens decrease sensitivity of MB to cytotoxic chemotherapeutics, and that ER{beta} selective and non-selective inhibition of estrogen receptor activity blocks these cytoprotective actions. These findings support the therapeutic potential of antiestrogen adjuvant therapies for MB, and findings that soy phytoestrogens also decrease sensitivity of MB cells to cytotoxic chemotherapeutics suggest that decreased exposure to environmental estrogens may benefit MB patient responses to chemotherapy.

pharmacology and toxicology↗