Browsing by Author "Muralidharan, Charanya"
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Item Allergic airway recall responses require IL-9 from resident memory CD4+ T cells(American Association for the Advancement of Science, 2022) Ulrich, Benjamin J.; Kharwadkar, Rakshin; Chu, Michelle; Pajulas, Abigail; Muralidharan, Charanya; Koh, Byunghee; Fu, Yongyao; Gao, Hongyu; Hayes, Tristan A.; Zhou, Hong-Ming; Goplen, Nick P.; Nelson, Andrew S.; Liu, Yunlong; Linnemann, Amelia K.; Turner, Matthew J.; Licona-Limón, Paula; Flavell, Richard A.; Sun, Jie; Kaplan, Mark H.; Microbiology and Immunology, School of MedicineAsthma is a chronic inflammatory lung disease with intermittent flares predominately mediated through memory T cells. Yet, the identity of long-term memory cells that mediate allergic recall responses is not well defined. In this report, using a mouse model of chronic allergen exposure followed by an allergen-free rest period, we characterized a subpopulation of CD4+ T cells that secreted IL-9 as an obligate effector cytokine. IL-9-secreting cells had a resident memory T cell phenotype, and blocking IL-9 during a recall challenge or deleting IL-9 from T cells significantly diminished airway inflammation and airway hyperreactivity. T cells secreted IL-9 in an allergen recall-specific manner, and secretion was amplified by IL-33. Using scRNA-seq and scATAC-seq, we defined the cellular identity of a distinct population of T cells with a proallergic cytokine pattern. Thus, in a recall model of allergic airway inflammation, IL-9 secretion from a multicytokine-producing CD4+ T cell population was required for an allergen recall response.Item Dysfunctional β-cell autophagy induces β-cell stress and enhances islet immunogenicity(Frontiers Media, 2025-01-29) Austin, Matthew C.; Muralidharan, Charanya; Roy, Saptarshi; Crowder, Justin J.; Piganelli, Jon D.; Linnemann, Amelia K.; Biochemistry and Molecular Biology, School of MedicineBackground: Type 1 Diabetes (T1D) is caused by a combination of genetic and environmental factors that trigger autoimmune-mediated destruction of pancreatic β-cells. Defects in β-cell stress response pathways such as autophagy may play an important role in activating and/or exacerbating the immune response in disease development. Previously, we discovered that β-cell autophagy is impaired prior to the onset of T1D, implicating this pathway in T1D pathogenesis. Aims: To assess the role of autophagy in β-cell health and survival, and whether defects in autophagy render islets more immunogenic. Methods: We knocked out the critical autophagy enzyme, ATG7, in the β-cells of mice (ATG7Δβ-cell) then monitored blood glucose, performed glucose tolerance tests, and evaluated bulk islet mRNA and protein. We also assessed MHC-I expression and presence of CD45+ immune cells in ATG7Δβ-cell islets and evaluated how impaired autophagy affects EndoC-βH1 HLA-I expression under basal and IFNα stimulated conditions. Lastly, we co-cultured ATG7Δβ-cell islet cells with diabetogenic BDC2.5 helper T cells and evaluated T cell activation. Results: We found that all ATG7Δβ-cell mice developed diabetes between 11-15 weeks of age. Gene ontology analysis revealed a significant upregulation of pathways involved in inflammatory processes, response to ER stress, and the ER-associated degradation pathway. Interestingly, we also observed upregulation of proteins involved in MHC-I presentation, suggesting that defective β-cell autophagy may alter the immunopeptidome, or antigen repertoire, and enhance β-cell immune visibility. In support of this hypothesis, we observed increased MHC-I expression and CD45+ immune cells in ATG7Δβ-cell islets. We also demonstrate that HLA-I is upregulated in EndoC β-cells when autophagic degradation is inhibited. This effect was observed under both basal and IFNα stimulated conditions. Conversely, a stimulator of lysosome acidification/function, C381, decreased HLA-I expression. Lastly, we showed that in the presence of islet cells with defective autophagy, there is enhanced BDC2.5 T cell activation. Conclusions: Our findings demonstrate that β-cell autophagy is critical to cell survival/function. Defective β-cell autophagy induces ER stress, alters pathways of antigen production, and enhances MHC-I/HLA-I presentation to surveilling immune cells. Overall, our results suggest that defects in autophagy make β-cells more susceptible to immune attack and destruction.Item Elucidating the mechanisms or interactions involved in differing hair color follicles(2016) Muralidharan, Charanya; Walsh, SusanForensic DNA phenotyping is an up and coming area in forensic DNA analyses that enables the prediction of physical appearance of an individual from DNA left at a crime scene. At present, there has been substantial work performed in understanding what genes/markers are required to produce a reliable prediction of categorical eye and hair color from the DNA of an individual of interest. These pigmentation markers (variants from HERC2, OCA2, TYR, SLC24A4, SLC45A2, IRF4 to name a few) are at the core of several prediction systems for eye and hair color such as IrisPlex, HIrisPlex, and the Snipper 2.5 suite. The contribution of these markers towards prediction in most cases however, only factors in an independent effect and do not take into account potential interactions or epistasis in the production of the final phenotypic color. Epistasis is a phenomenon that occurs when a gene’s effect relies on the presence of ‘modifier genes’, and can display different effects (enhance/repress a particular color) in genotype combinations rather than individually. In an effort to detect such epistatic interactions and their influence on hair color prediction models, for this current study, 872 individuals were genotyped at 61 associative and predictive pigmentation markers from several diverse population subsets. Individuals were phenotypically evaluated for eye and hair color by three separate independent assessments. Several analyses were performed using statistical approaches such as multifactor dimensionality reduction (MDR) for example, in an effort to detect if there are any SNP- SNP epistatic interactions present that could potentially enhance eye and hair color prediction model performances. The ultimate goal of this study was to assess what SNP-SNP combinations amongst these known pigmentation genes should be included as an additional variable in future prediction models and how much they can potentially enhance overall pigmentation prediction model performance. The second part of the project involved the analyses of several differentially expressed candidate genes between different hair color follicles of the same individual using quantitative Real Time PCR. We looked at 26 different genes identified through a concurrent non-human primate study being performed in the laboratory. The purpose of this study was to gain more insight on the level of differentially expressed mRNA between different hair color follicles within the same human individual. Data generated from this part of the project will act as a pilot study or ‘proof of principle’ on the mRNA expression of several pigmentation associated genes on individual beard hair of varying phenotypic colors. This analysis gives a first glimpse at expression levels that remain constant or differentiate between hairs of the same individual, therefore limiting the contribution of individual variation.Item Erratum to: Global skin colour prediction from DNA(Springer Nature, 2017-07) Walsh, Susan; Chaitanya, Lakshmi; Breslin, Krystal; Muralidharan, Charanya; Bronikowska, Agnieszka; Pospiech, Ewelina; Koller, Julia; Kovatsi, Leda; Wollstein, Andreas; Branicki, Wojciech; Liu, Fan; Kayser, Manfred; Biology, School of ScienceErratum for Global skin colour prediction from DNA. [Hum Genet. 2017]Item Fluorescently conjugated annular fibrin clot for multiplexed real-time digestion analysis(Royal Society of Chemistry, 2021-12) Zeng, Ziqian; Nallan Chakravarthula, Tanmaye; Muralidharan, Charanya; Hall, Abigail; Linnemann, Amelia K.; Alves, Nathan J.; Emergency Medicine, School of MedicineImpaired fibrinolysis has long been considered as a risk factor for venous thromboembolism. Fibrin clots formed at physiological concentrations are promising substrates for monitoring fibrinolytic performance as they offer clot microstructures resembling in vivo. Here we introduce a fluorescently labeled fibrin clot lysis assay which leverages a unique annular clot geometry assayed using a microplate reader. A physiologically relevant fibrin clotting formulation was explored to achieve high assay sensitivity while minimizing labeling impact as fluorescence isothiocyanate (FITC)-fibrin(ogen) conjugations significantly affect both fibrin polymerization and fibrinolysis. Clot characteristics were examined using thromboelastography (TEG), turbidity, scanning electron microscopy, and confocal microscopy. Sample fibrinolytic activities at varying plasmin, plasminogen, and tissue plasminogen activator (tPA) concentrations were assessed in the present study and results were compared to an S2251 chromogenic assay. The optimized physiologically relevant clot substrate showed minimal reporter-conjugation impact with nearly physiological clot properties. The assay demonstrated good reproducibility, wide working range, kinetic read ability, low limit of detection, and the capability to distinguish fibrin binding-related lytic performance. In combination with its ease for multiplexing, it also has applications as a convenient platform for assessing patient fibrinolytic potential and screening thrombolytic drug activities in personalized medical applications.Item Forensic DNA Phenotyping: Improving the Prediction of Eye, Hair, and Skin Color through Quantitative Measurement(Office of the Vice Chancellor for Research, 2015-04-17) Breslin, Krystal; Eller, Ryan; Muralidharan, Charanya; Walsh, SusanWithout a match in the DNA database or a reference profile, current methods in forensic DNA profiling fail to give any leads to further criminal investigations. Forensic DNA Phenotyping bridges that gap in the investigation by providing ‘intelligence’ through the identification of externally visible characteristics of the unknown individual from their biological sample left at the crime scene. Recent work on eye and hair color prediction using a tool called ‘HIrisPlex’ has allowed accurate predictions of blue or brown eye color with a precision greater than 95%, and of hair color with a precision of approximately 75% for blond, brown, black and red categories. DNA phenotyping is a new and exciting area of DNA profiling, however there are areas that still require improvement. These include the prediction of intermediate eye colors such as green, or the mechanisms and/or genes involved in age-dependent hair color changes. At this time, categorical skin color prediction is still being developed and will soon be included in the HIrisPlex system, however it is not until the day that pigmentation measurements move toward a quantitative color scale that accuracy will be at a maximum. Our research hopes to target this area specifically. While the predication of categorical measurements is helpful, the term “light brown” is subjective and leads to the possibility of error in interpretation. In order to circumvent this interpretation issue, understanding quantitative color prediction is key. To achieve this, we are in the midst of a database collection of approximately 5000 individuals in which we will perform genome-wide association studies (GWAS) to locate additional eye, hair and skin color genes associated with a quantitative pigment scale phenotype. This database will help create a world-wide representative statistical panel from which quantitative predictive measures can be ascertained. Furthermore, in conjunction with computer programming techniques, it will allow the creation of a user-friendly software program that will enable the prediction of pigmentation-related externally visible characteristics such as eye, hair and skin color. This software has the capacity to be a revolutionary intelligence tool to aid law enforcement investigations by producing a color-print out biological mugshot.Item Global skin colour prediction from DNA(Springer Berlin Heidelberg, 2017) Walsh, Susan; Chaitanya, Lakshmi; Breslin, Krystal; Muralidharan, Charanya; Bronikowska, Agnieszka; Pospiech, Ewelina; Koller, Julia; Kovatsi, Leda; Wollstein, Andreas; Branicki, Wojciech; Liu, Fan; Kayser, Manfred; Biology, School of ScienceHuman skin colour is highly heritable and externally visible with relevance in medical, forensic, and anthropological genetics. Although eye and hair colour can already be predicted with high accuracies from small sets of carefully selected DNA markers, knowledge about the genetic predictability of skin colour is limited. Here, we investigate the skin colour predictive value of 77 single-nucleotide polymorphisms (SNPs) from 37 genetic loci previously associated with human pigmentation using 2025 individuals from 31 global populations. We identified a minimal set of 36 highly informative skin colour predictive SNPs and developed a statistical prediction model capable of skin colour prediction on a global scale. Average cross-validated prediction accuracies expressed as area under the receiver-operating characteristic curve (AUC) ± standard deviation were 0.97 ± 0.02 for Light, 0.83 ± 0.11 for Dark, and 0.96 ± 0.03 for Dark-Black. When using a 5-category, this resulted in 0.74 ± 0.05 for Very Pale, 0.72 ± 0.03 for Pale, 0.73 ± 0.03 for Intermediate, 0.87±0.1 for Dark, and 0.97 ± 0.03 for Dark-Black. A comparative analysis in 194 independent samples from 17 populations demonstrated that our model outperformed a previously proposed 10-SNP-classifier approach with AUCs rising from 0.79 to 0.82 for White, comparable at the intermediate level of 0.63 and 0.62, respectively, and a large increase from 0.64 to 0.92 for Black. Overall, this study demonstrates that the chosen DNA markers and prediction model, particularly the 5-category level; allow skin colour predictions within and between continental regions for the first time, which will serve as a valuable resource for future applications in forensic and anthropologic genetics.Item IFN-α Induces Heterogenous ROS Production in Human β-Cells(bioRxiv, 2025-02-20) Wagner, Leslie E.; Melnyk, Olha; Turner, Abigail; Duffett, Bryce E.; Muralidharan, Charanya; Martinez-Irizarry, Michelle M.; Arvin, Matthew C.; Orr, Kara S.; Manduchi, Elisabetta; Kaestner, Klaus H.; Brozinick, Joseph T.; Linnemann, Amelia K.; Biochemistry and Molecular Biology, School of MedicineType 1 diabetes (T1D) is a multifactorial disease involving genetic and environmental factors, including viral infection. We investigated the impact of interferon alpha (IFN-α), a cytokine produced during the immune response to viral infection or the presence of un-edited endogenous double-stranded RNAs, on human β-cell physiology. Intravital microscopy on transplanted human islets using a β-cell-selective reactive oxygen species (ROS) biosensor (RIP1-GRX1-roGFP2), revealed a subset of human β-cells that acutely produce ROS in response to IFN-α. Comparison to Integrated Islet Distribution Program (IIDP) phenotypic data revealed that healthier donors had more ROS accumulating cells. In vitro IFN-α treatment of human islets similarly elicited a heterogenous increase in superoxide production that originated in the mitochondria. To determine the unique molecular signature predisposing cells to IFN-α stimulated ROS production, we flow sorted human islets treated with IFN-α. RNA sequencing identified genes involved in inflammatory and immune response in the ROS-producing cells. Comparison with single cell RNA-Seq datasets available through the Human Pancreas Analysis Program (HPAP) showed that genes upregulated in ROS-producing cells are enriched in control β-cells rather than T1D donors. Combined, these data suggest that IFN-α stimulates mitochondrial ROS production in healthy human β-cells, potentially predicting a more efficient antiviral response.Item Inhibition of the Eukaryotic Initiation Factor-2-α Kinase PERK Decreases Risk of Autoimmune Diabetes in Mice(bioRxiv, 2024-06-03) Muralidharan, Charanya; Huang, Fei; Enriquez, Jacob R.; Wang, Jiayi E.; Nelson, Jennifer B.; Nargis, Titli; May, Sarah C.; Chakraborty, Advaita; Figatner, Kayla T.; Navitskaya, Svetlana; Anderson, Cara M.; Calvo, Veronica; Surguladze, David; Mulvihill, Mark J.; Yi, Xiaoyan; Sarkar, Soumyadeep; Oakes, Scott A.; Webb-Robertson, Bobbie-Jo M.; Sims, Emily K.; Staschke, Kirk A.; Eizirik, Decio L.; Nakayasu, Ernesto S.; Stokes, Michael E.; Tersey, Sarah A.; Mirmira, Raghavendra G.; Pediatrics, School of MedicinePreventing the onset of autoimmune type 1 diabetes (T1D) is feasible through pharmacological interventions that target molecular stress-responsive mechanisms. Cellular stresses, such as nutrient deficiency, viral infection, or unfolded proteins, trigger the integrated stress response (ISR), which curtails protein synthesis by phosphorylating eIF2α. In T1D, maladaptive unfolded protein response (UPR) in insulin-producing β cells renders these cells susceptible to autoimmunity. We show that inhibition of the eIF2α kinase PERK, a common component of the UPR and ISR, reverses the mRNA translation block in stressed human islets and delays the onset of diabetes, reduces islet inflammation, and preserves β cell mass in T1D-susceptible mice. Single-cell RNA sequencing of islets from PERK-inhibited mice shows reductions in the UPR and PERK signaling pathways and alterations in antigen processing and presentation pathways in β cells. Spatial proteomics of islets from these mice shows an increase in the immune checkpoint protein PD-L1 in β cells. Golgi membrane protein 1, whose levels increase following PERK inhibition in human islets and EndoC-βH1 human β cells, interacts with and stabilizes PD-L1. Collectively, our studies show that PERK activity enhances β cell immunogenicity, and inhibition of PERK may offer a strategy to prevent or delay the development of T1D.Item Inhibition of the eukaryotic initiation factor-2α kinase PERK decreases risk of autoimmune diabetes in mice(American Society for Clinical Investigation, 2024-06-18) Muralidharan, Charanya; Huang, Fei; Enriquez, Jacob R.; Wang, Jiayi E.; Nelson, Jennifer B.; Nargis, Titli; May, Sarah C.; Chakraborty, Advaita; Figatner, Kayla T.; Navitskaya, Svetlana; Anderson, Cara M.; Calvo, Veronica; Surguladze, David; Mulvihill, Mark J.; Yi, Xiaoyan; Sarkar, Soumyadeep; Oakes, Scott A.; Webb-Robertson, Bobbie-Jo M.; Sims, Emily K.; Staschke, Kirk A.; Eizirik, Decio L.; Nakayasu, Ernesto S.; Stokes, Michael E.; Tersey, Sarah A.; Mirmira, Raghavendra G.; Pediatrics, School of MedicinePreventing the onset of autoimmune type 1 diabetes (T1D) is feasible through pharmacological interventions that target molecular stress–responsive mechanisms. Cellular stresses, such as nutrient deficiency, viral infection, or unfolded proteins, trigger the integrated stress response (ISR), which curtails protein synthesis by phosphorylating eukaryotic translation initiation factor-2α (eIF2α). In T1D, maladaptive unfolded protein response (UPR) in insulin-producing β cells renders these cells susceptible to autoimmunity. We found that inhibition of the eIF2α kinase PKR-like ER kinase (PERK), a common component of the UPR and ISR, reversed the mRNA translation block in stressed human islets and delayed the onset of diabetes, reduced islet inflammation, and preserved β cell mass in T1D-susceptible mice. Single-cell RNA-Seq of islets from PERK-inhibited mice showed reductions in the UPR and PERK signaling pathways and alterations in antigen-processing and presentation pathways in β cells. Spatial proteomics of islets from these mice showed an increase in the immune checkpoint protein programmed death-ligand 1 (PD-L1) in β cells. Golgi membrane protein 1, whose levels increased following PERK inhibition in human islets and EndoC-βH1 human β cells, interacted with and stabilized PD-L1. Collectively, our studies show that PERK activity enhances β cell immunogenicity and that inhibition of PERK may offer a strategy for preventing or delaying the development of T1D.