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Indiana Arts Commission

Indiana Arts Commission provides grants to support arts and cultural programming, artist fellowships, arts education, and community-based arts projects across IN.

NIAID - National Institute of Allergy and Infectious Diseases

PROJECT SUMMARY/ABSTRACT Systemic lupus erythematosus (SLE) is a life-threatening autoimmune disease caused by loss of tolerance to intracellular self-antigens. Altered antigen presentation by major histocompatibility complex class II (MHC II) is implicated in SLE pathogenesis, yet how self-antigens reach MHC II and the disease-relevant factors that influence antigen processing remain poorly understood. Two factors that converge on antigen processing pathways and exert opposing effects on SLE are of particular interest: influenza A virus (IAV), a trigger of SLE severe flares, and hydroxychloroquine (HCQ), an SLE treatment that protects against flares. Preliminary data demonstrate that IAV infection of murine antigen presenting cells increases MHC II presentation of self-peptides derived from SLE autoantigens such as ribosomes and ribonucleoproteins. IAV is known to utilize non-classical endogenous MHC II processing pathways and HCQ modulates the cellular compartments involved in these pathways, suggesting a common inflection point for autoantigen presentation. The central hypothesis in this proposal is that IAV manipulates endogenous processing pathways to alter the MHC II self-immunopeptidome and promote autoimmunity, while HCQ's therapeutic effects result from inhibiting these same pathways. Aim 1 will utilize detailed pathway mapping to identify the endogenous MHC II processing pathways required for IAV- induced self-peptide presentation and targeted by HCQ. Aim 2 will connect changes in autoantigen presentation to clinical disease by determining the impact of IAV infection and HCQ treatment on the self-immunopeptidome and autoimmune responses in lupus-prone B6.Sle123 mice. These studies will be the first to examine endogenous MHC II antigen processing pathways in autoimmune disease and will provide mechanistic insight into how viral infections trigger SLE flares and how HCQ achieves its therapeutic effects. This work builds on the candidate's training as a pediatric rheumatologist and viral immunologist. As the work proceeds, she will gain expertise in cellular biology and microscopy, lupus mouse models, and bioinformatics for immunopeptidomics analysis. The mentor, Dr. Laurence Eisenlohr, is an internationally recognized expert in MHC II antigen processing with a strong commitment to mentorship and an extensive NIH funding track record. Experiments will be conducted at the Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, a collegial, collaborative, and state-of-the-art institution with exceptional resources in antigen presentation biology, autoimmunity, and proteomics. This professional development and training plan will position the candidate to become an independent physician-scientist investigating viral-autoimmune interactions that can be leveraged to develop precision immunotherapies for antigen presentation pathways in SLE and other autoimmune diseases.

NIAID - National Institute of Allergy and Infectious Diseases

PROJECT SUMMARY Influenza viruses pose a continuous global health threat due to seasonal epidemics and pandemic risks. While seasonal influenza vaccines are currently the most effective preventative measure, they are prone to antigenic drift of the circulating strains and lack cross-protection against zoonotic strains. Consequently, there is an urgent need for vaccines capable of eliciting broad immunity against diverse influenza strains and subtypes. Influenza viruses have two surface antigens, hemagglutinin (HA) and neuraminidase (NA). Most efforts in vaccine development against influenza viruses have been focusing on eliciting HA antibodies. As a result, seasonal influenza vaccines are very poor at inducing NA antibody responses. Nevertheless, NA is increasingly recognized as a promising vaccine target due to the recent discovery of broadly protective NA antibodies as well as the demonstration of NA antibodies as an independent correlate of protection. However, significant knowledge gaps hinder the development of effective NA-based vaccines. For example, the number of known NA antibodies is considerably lower than that of HA antibodies, limiting our understanding of NA antigenicity as well as the immunodominant hierarchy among NA epitopes. Furthermore, the mechanisms underlying the development of broadly neutralizing NA antibodies remain largely unknown. To address these knowledge gaps, this proposed study aims to systematically analyze the structure-function relationships of a large panel of NA monoclonal antibodies. We also aim to map the affinity maturation pathways leading to the evolution of breadth in broadly protective NA antibodies, and engineer a broadly protective NA-based immunogen. This proposed study will leverage unique clinical samples from individuals who have received seasonal influenza vaccine candidates that contain NA as a component, as well as state-of-the-art structural biology and high-throughput experimental approaches. Our results will significantly enhance the fundamental understanding of NA antibody responses and offer unprecedented insights into NA-based vaccine design, which will be instrumental in developing universal influenza vaccines.

NIAAA - National Institute on Alcohol Abuse and Alcoholism

PROJECT SUMMARY The main risk factor for alcohol use disorder (AUD) is excessive alcohol consumption. However, there is a knowledge gap regarding how alcohol differentially alters synaptic function within the neural circuits that underlie AUD progression. Therefore, it is critical to better understand these synapse-specific neuroadaptations so more efficacious circuit-based therapeutics may be developed. One brain region central to this effort is the dorsal striatum, which plays an important role in goal-directed learning (by the dorsomedial striatum) and habit formation (by the dorsolateral striatum, DLS) behaviors that are key to the progression of AUDs. Our previous work indicates that alcohol induces changes in the anterior insular cortex (AIC) to the DLS (AICDLS) excitatory synaptic transmission, presynaptically with a loss of mu opioid receptor-mediated plasticity and postsynaptically by an increase in glutamate receptor function in medium spiny neurons (MSNs). Interestingly, the AIC is a key brain region involved in regulating addiction and AUD. Therefore, we evaluated the circuit using in vivo optogenetic, and we found that the activation of AICDLS glutamatergic synapses reduced binge-like alcohol consumption in males. These findings suggest that alcohol’s synapse-specific plasticity-ablating effects may be a mechanism regulating alcohol consumption. Importantly, MSNs in the DLS also receive long-range cortical GABAergic inputs. Recent studies, and our research, have demonstrated that long-range inhibitory projections from cortex directly target MSNs. Specifically, we demonstrated that parvalbumin-expressing (PV+) neurons in the AIC send direct inhibitory synapses to DLS, and that activation of this pathway increase binge alcohol drinking, opposite to the effects of excitatory AICDLS activation. Yet little is known about how alcohol regulates PV+ AICDLS circuit. Our central hypothesis is that inhibition from AIC PV+ GABAergic projections to specific MSNs subtypes in the DLS is imbalanced by alcohol increasing binge alcohol consumption. In specific aim 1, we will determine the effect of alcohol on anterior insular cortical parvalbumin-expressing GABAergic inputs to dorsolateral striatum. In specific aim 2, we will define the role of anterior insular cortex parvalbumin-expressing neuron projections to the dorsolateral striatum in regulating alcohol drinking behavior. By integrating state of the art research in electrophysiology, in vivo and ex vivo optogenetics and chemogenetics, binge alcohol and aversive drinking behavior, and the use of transgenic mice, we will determine the role of this specific inhibitory synaptic connection that is relevant for alcohol consumption behavior and potentially revealing novel circuit- based therapeutic targets for AUD.

Inland Empire Community Foundation

Inland Empire Community Foundation ($200M in assets) supports nonprofits in CA through grants focused on education, health, arts, community development. Awards range from $2,000 to $75,000.

NEI - National Eye Institute

SUMMARY Alpha herpesviruses are a subfamily of ubiquitous viruses that can cause a spectrum of clinically-significant diseases including blindness from acute retinal necrosis (ARN). Unfortunately, even with timely antiviral treatment, irreversible pathological changes occur within the retina and significantly increase the risk of vision- threatening complications to further compromise an already poor visual prognosis. Since the advent of acyclovir, there have been no major advances in the treatment of clinically-significant herpes infections despite the vision-degrading complications and very little is known in regards to the immune response to the virus within the retina. This proposal will provide a fundamental understanding of the innate immune response to HSV-1 within the retina, while developing critical skills in career development. The long-term goal of this project is to acquire the scientific skills needed to enhance our understanding and pursue novel therapies to preserve vision and reduce complications related to ARN as an independent clinician-scientist. The scientific objective of this K08 proposal is to test the hypothesis that type I interferons (IFNs) are central to host defense to viral infection of the retina and that toll-like receptor-3 within retinal microglia activate this innate immune response. We propose evaluating the innate immune response to herpes virus infections of the retina by utilizing several immune knock-out mouse lines, human retinal cell cultures, and vitreous specimens from patients with ARN to assess the role of IFNs and their role in neuroinflammation. Three focused specific aims will be utilized to test our hypothesis: 1) Identify pathways and cell types responsible for HSV innate immunity within the retina; 2) Determine the role of downstream IFNs in host defense against viral infection of the retina; 3) Identify the predominate IFN subtype and cellular source in acute retinal necrosis from human samples. The career development objective is to develop the mentorship and expertise needed to become a productive and independent clinician-scientist. The Department of Ophthalmology and Visual Sciences and the University of Nebraska Medical Center have state-of-the-art laboratory facilities and world-class faculty with expertise in neuroimmunology, viral infections, and innate immune signaling to serve as the mentoring team. The institutional resources, mentorship team, and career development plan have been developed to specifically promote scientific independence in the study of neuroinflammation of the retina.

Innovia Foundation

Innovia Foundation ($200M in assets) supports nonprofits in WA through grants focused on education, community development, health, arts. Awards range from $1,000 to $50,000.

NCATS - National Center for Advancing Translational Sciences

PROJECT SUMMARY The Penn-CHOP Clinical and Translational Science Award (CTSA) Hub proposes a transformative vision to catalyze a dynamic clinical and translational science (CTS) ecosystem that accelerates the delivery of innovative, life-altering therapies to individuals across the lifespan. Aligned with the NCATS mission to bring more treatments to all people more quickly, our Hub will leverage its nationally-recognized strengths in translational therapeutics, data science, community engagement, and workforce development to advance the science and practice of clinical translation. We propose four integrated aims: (1) Innovate novel approaches to advancing the development and dissemination of translational therapeutics; (2) Accelerate the application of state-of-the-art data science resources and dynamic data ecosystems to enable a Penn-CHOP academic learning health system (aLHS) framework and catalyze groundbreaking CTS; (3) Integrate our Hub with our communities and stakeholders to promote community-partnered and collaborative research within families and across the lifespan; (4) Educate, train, advance, and retain a skilled multidisciplinary workforce ready to meet the demand of an ever-evolving CTS and and CTR landscape. Our Hub will serve as a national model for integrated, community-engaged, and data-driven translational science. Through rigorous evaluation, continuous quality improvement, and dissemination of best practices, we aim to contribute meaningfully to the CTSA consortium's collective impact on public health.

NIGMS - National Institute of General Medical Sciences

ABSTRACT Drug development is significantly hindered by traditional reaction optimization methods that are low-throughput and costly. Although AI models could accelerate the discovery of optimal reaction conditions, they require massive, high-quality datasets that current methodologies cannot generate. Conventional automation systems using liquid handlers and microwell plates can perform only thousands of reactions per day, while robust AI-driven prediction demands millions of data points. Our peer-reviewed studies demonstrate that a micro-robotic nanoliter dispenser combined with custom-engineered nanowell arrays featuring innovative microlens geometries and MALDI-MS imaging can reduce reaction volumes from 40 μL to 0.5 nL, cut processing times from 60 hours to 4 hours, and scale throughput from thousands to millions of reactions. This proposal addresses the critical data-generation bottleneck by developing a scalable, fully integrated micro-robotic screening platform capable of performing millions of nanoliter-scale chemical reactions in parallel. Our approach combines precise, on-demand droplet dispensing with integrated dielectrophoretic steering, depositing droplets onto densely packed nanowell arrays maintained under controlled incubation conditions. Rapid matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) imaging then generates high-dimensional spectral fingerprints that quantitatively reflect reaction outcomes, providing rich datasets for an AI-driven analysis pipeline employing state-of-the-art machine learning for dimensionality reduction, clustering, and regression. To demonstrate our technology's capabilities, we will specifically optimize the Suzuki–Miyaura cross-coupling reaction—a widely utilized synthetic process in medicinal chemistry—and, in doing so, establish a scalable framework for AI-driven optimization of complex pharmaceutical syntheses using MIRACS. In Phase I (1 year), we will integrate and validate the core micro-robotic components and MALDI-MS workflow using our proven methodologies, generating preliminary quantitative benchmarks for system performance. In Phase II (2–3 years), we will scale the platform, further refine droplet handling and nanowell technologies for industrial-scale throughput, and fully integrate the AI predictive pipeline. Led by Fluid Discovery Inc. and supported by expert academic collaborators, our multidisciplinary team is uniquely qualified to commercialize this technology, significantly enhancing capabilities to synthesize complex drug molecules.

NIDA - National Institute on Drug Abuse

PROJECT SUMMARY First-ever data from Zambia on people who inject drugs (PWID) demonstrates major gaps in the HIV epidemic response. A recent biobehavioral survey show sharp health disparities along the entire PWID HIV care continuum, with gaps in HIV testing, linkage to ART, and viral suppression, and limited knowledge of PrEP. Failing to detect early HIV infections and address unsuppressed viral load poses a risk of ongoing community transmission as well as increased risk for HIV comorbidities and mortality, threatening the overall HIV epidemic control response in Zambia. The Zambia Ministry of Health has adopted a harm reduction approach to address the health disparities experienced by PWID. Starting in November 2024, the Zambia Ministry of Health will provide Medications for Opioid Use Disorder (MOUD) at two health facilities which also provide HIV services. There is currently minimal evidence in sub-Saharan Africa on MOUD integration with HIV care. The arrival of MOUD in Zamvia presents an exceptional opportunity to collaborate with Ministry of Health and key partners to develop a person-centered integrated collaborative care model for PWID and pilot testing implementation, feasibility, and preliminary effectiveness within the Zambian health system. We propose the Integrated Services for PWID using Person-centered Interactions, Reach, and Engagement (INSPIRE) study to co-adapt and evaluate an HIV status-neutral system-level integrated approach using a Collaborative Care Management Model (CoCM) for HIV prevention, HIV care, mental health, and MOUD. This implementation science study includes the following Aims: Aim 1: Assess the multilevel determinants of early implementation of MOUD services using rapid qualitative analysis. Aim 2: Co-adapt an HIV status-neutral CoCM with key stakeholders. Aim 3: Implement and evaluate the co-adapted CoCM, guided by Practical, Robust Implementation and Sustainability Model (PRISM), and including the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) outcomes. The research team, led by Multiple Principal Investigators (MPI), has expertise in psychiatry, HIV clinical care, implementation science, behavioral and social sciences, HIV clinical care, epidemiology, and mixed methods, and has a deep knowledge of HIV response and service delivery models in Zambia for marginalized populations, and experience implementing opioid use treatment both in the US, and in Kenya. We will also leverage the University of Maryland Baltimore’s decade of experience implementing MOUD and HIV programs in Kenya. Addressing the unmet needs of PWID is urgently needed to achieve and maintain HIV epidemic control; our findings will inform the implementation of integrated care models for PWID. Lessons learned from INSPIRE will help develop best practices for system-level approaches to improve OUD treatment and HIV prevention and treatment programs in both sub-Saharan Africa and the US.

NIDA - National Institute on Drug Abuse

Substance use disorder (SUD) is a leading public health challenge, with long-term consequences for physical and mental health. In-person peer support groups are well-established as beneficial for recovery. However, as digital platforms increasingly serve as spaces for peer support, little is known about how engagement in online peer support recovery groups is associated with recovery outcomes. Emerging research has yielded conflicting results, with some studies suggesting benefits while others indicating relapse risks. This underscores the need to examine the content of discussions beyond engagement frequency. The present application seeks support for Xiangyu Tao, Ph.D., a postdoctoral associate at the Rutgers Addiction Research Center, gain the necessary training and set up a line of research to examine the role of online peer support recovery communities in SUD recovery. Specifically, she will integrate state-of-the-art artificial intelligence (AI) techniques, including Large Language Models (LLMs), with co-production to identify communication patterns and to examine their associations with recovery outcomes. LLMs offer a promising avenue for analyzing large-scale online discussions, yet they require human oversight to address challenges such as contextual misinterpretation and ethical concerns. Co-production, i.e., involving individuals with SUD recovery experience in all research stages, mitigates LLM limitations and ensures that results reflect lived experience. The mentored K99 phase will identify and characterize communication patterns in online recovery groups. Peer support and co-rumination patterns will be classified using LLMs and co-production (Aim 1); latent class analysis (LCA) will identify distinct communication profiles among users engaging in these online groups (Aim 2). During this phase, Dr. Tao will receive mentorship in co-production and AI methodologies, longitudinal data analysis and management, and responsible AI research. The independent R00 phase will build upon this foundation by examining how communication profiles are associated with recovery trajectories using longitudinal survey data from online recovery group participants (Aim 3). This project is highly innovative in its integration of LLMs and co- production to analyze large-scale digital recovery discussions, ensuring that AI-driven insights are both computationally rigorous and socially informed. Findings will enhance understanding of digital peer support for SUD recovery and will inform future mechanistic studies and SUD interventions. By identifying communication patterns associated with recovery trajectories, this project will guide digital health platforms, peer support programs, and clinicians in optimizing online recovery environments to better support individuals with SUD. This project aligns with the NIDA Strategic Plan Cross-Cutting Priority to "Leverage Data Science and Analytics to Understand Real-World Complexity" by utilizing advanced computational methods to analyze digital recovery support interactions. The project is highly significant in bridging advanced AI computational tools with the lived experiences of individuals to produce impactful research to promote substance use recovery.

NHLBI - National Heart Lung and Blood Institute

Project Summary/Abstract Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the US, with serum lipid levels, particularly LDL cholesterol (LDL-C), being a critical modifiable risk factor. Despite advances in genome-wide association studies (GWAS), which have identified over 400 loci associated with LDL-C levels, the specific genes and coding variants responsible for cholesterol regulation remain largely unknown. This knowledge gap hinders the development of individualized CVD risk assessments and targeted clinical interventions. Furthermore, many rare coding variants, including those in clinically important genes such as LDLR, APOB, and PCSK9, are too rare in population cohorts to generate reliable epidemiological risk estimates, resulting in many Variants of Uncertain Significance (VUS). While functional screening assays, including CRISPR-based technologies, have demonstrated great potential to assess the impact of rare variants, scaling these assays efficiently across the genome has been challenging. Functional screens provide valuable insights but are often limited by their in vitro nature, which may not fully capture the clinical impact of these variants. To address these challenges, we propose a comprehensive, integrative approach that combines large-scale population cohort data with high-throughput functional screening to improve our understanding of rare coding variants that influence lipid metabolism and CVD risk. Our approach leverages state-of-the-art base and prime editing platforms to functionally screen variants across 823 genes that have been shown to significantly impact lipid phenotypes. By integrating functional screening data with patient phenotypes from population biobanks, including the UK Biobank and AllofUs, we will directly test the relationship between functional data and clinical outcomes. This integration allows us to build robust gene-phenotype models, significantly improving the characterization of variants, particularly those with moderate or uncertain effects. For traits like LDL-C, our models will combine functional scores with patient- level factors, including polygenic risk, statin use, and lifestyle factors, to improve precision in risk prediction. In addition to generating functional data, we will prioritize variants for clinical reclassification, focusing on actionable disease genes present in research participants from large cohorts, including AllofUs and Mass General Brigham Biobank. By aligning our results with variant classification guidelines, we aim to directly improve patient care through the reclassification of VUS and enhanced cardiovascular risk stratification. Ultimately, this project will deliver a novel, integrative platform that accelerates the translation of genetic discoveries into clinical practice, improving outcomes for patients at risk of CVD.

NIAID - National Institute of Allergy and Infectious Diseases

Project Summary Autoimmune diseases (AID) are complex, chronic conditions with rising global prevalence, contributing substantially to morbidity and healthcare costs. Patients frequently face diagnostic delays due to nonspecific clinical presentations, leading to irreversible tissue damage that could be prevented with earlier detection. Additionally, autoimmunity manifests as a potentially severe side effect of cancer immunotherapy, termed immune-related adverse events (irAE), which can complicate treatment and decrease patient survival rates. While polygenic risk scores (PRS) effectively identify individuals with elevated inherited risk, they fail to capture the dynamic immune states that dictate the timing of disease onset. Conversely, plasma proteomics provides real-time molecular signatures of inflammation and immune regulation but is rarely modeled jointly with genetics at a population scale. The overarching objective of this proposal is to create and interpret state-of-the-art risk prediction models for both chronic AID and irAE by integrating static genetic susceptibility with dynamic proteomic activity. Our preliminary data demonstrate that combining proteomic risk scores with PRS improves predictive performance for inflammatory bowel disease and reveals interactions between genetic load and protein levels. The central hypothesis is that integrating PRS with plasma protein levels will enhance predictive accuracy over either modality alone for multiple AID phenotypes and that these biobank-derived signatures can transfer to the context of immunotherapy toxicity. To test this, Aim 1 will utilize the UK Biobank Pharma Proteomics Project to build and benchmark machine learning models for six major chronic AIDs, ranging from interpretable regression to non-linear neural networks. Aim 2 will assess the generalizability of these models across autoimmune phenotypes by transferring them to a prospective cohort of cancer patients undergoing immune checkpoint inhibitor therapy. This aim will employ models built in a traditional supervised learning framework as well as models trained on the low-dimensional proteomic embeddings of a self- supervised masked autoencoder, with the goal of enabling robust risk stratification in a limited- sample setting. Together, these studies will bridge the domains of spontaneous and drug- induced autoimmunity. This work has the potential to improve clinical care by enabling earlier identification of high-risk individuals and defining shared and disease-specific predictive biomarkers across autoimmune conditions.

NIAID - National Institute of Allergy and Infectious Diseases

ABSTRACT Bacteriophage N4, the model virus of the newly established and understudied Schitoviridae family, employs a unique mechanism to translocate its genome into Gram-negative bacterial hosts. This process is mediated by gp50, a massive 380 kDa virion-associated RNA polymerase (vRNAP). N4 vRNAP's role in initiating transcription immediately after infection is well studied; however, its role in forming a specialized membrane- spanning complex termed the "ejectosome" is less understood. The transcriptional activity of this protein is carried out by the middle 1100 residues; however, domains of equal or greater length surround the transcriptional core on both the N and C termini, and these domains remain largely uncharacterized structurally and functionally. I have recently determined structures of the gp50 RNAP and C-terminal domains (currently under review), but the N-terminal domain and the complete ejectosome complex remain unresolved. This proposal addresses these knowledge gaps by leveraging state-of-the-art cryogenic electron microscopy (Cryo- EM) and electron tomography (Cryo-ET) approaches. I hypothesize that multiple copies of vRNAP (gp50) are structurally integrated into a membrane-spanning channel formed by N4 ejection proteins gp51 and gp52, with the N-terminal domain (NTD) of vRNAP contributing to the channel structure while the RNAP and C-terminal domains remain tethered to facilitate DNA translocation. In Aim 1, I will reconstitute the complete ejectosome complex in vitro from purified components (gp50-NTD, gp51, and gp52) and determine its high-resolution structure using Cryo-EM single particle analysis, revealing the structure of the N-terminal domain and its integration into the membrane-spanning channel. In Aim 2, I will use in situ Cryo-ET to visualize the N4 ejectosome in its pre- and post-ejection states. By analyzing mature virions and N4-infected bacterial minicells, I will capture the internal organization of vRNAP and associated ejection proteins before and after translocation. These experiments will provide insight into the structural transitions required for ejectosome assembly and function during early infection. Together, these studies will advance our understanding of the molecular mechanisms underlying genome ejection in N4 and related phages. Understanding the structural basis of genome ejection in this therapeutically relevant phage family has implications for phage therapy development, rational engineering of phage-based delivery systems, and microbiome dynamics. This work will provide me with comprehensive training in integrative structural biology approaches, including advanced Cryo- EM and Cryo-ET techniques, preparing me for an independent research career.

NIDA - National Institute on Drug Abuse

PROJECT ABSTRACT We seek to refine, field test, and deploy an intelligent AI-based chatbot in small, peer-to-peer mobile support groups for smoking cessation. The chatbot will complement the human support group members by responding to posts when no human can. We expect the chatbot to improve engagement by ensuring no post goes unanswered. By developing and testing this chatbot, we hope to breathe new life into research on mobile health support groups which have been challenged by low engagement. We have already built a chatbot using a state-of-the-art open-access LLM (large language model) and set it up on a local, dedicated, secure server. The LLM does not store data on the cloud and all posts are encrypted before server storage. We have trained our chatbot on 77400 posts from our past mobile support groups to accurately comprehend the 25 most common post types. We have developed 25 response libraries for the chatbot that contain over 1k responses developed from knowledge bases, e.g., it provides support for quitting, assists with study-provided NRT, and advises on coping with cravings and stress. Our chatbot intervention is based on the Supportive Accountability Model of Mobile Health. We expect the peers in the group to provide legitimate information that is relevant, trustworthy, and expert, and to form social bonds by being caring, nonjudgmental, and timely, increasing accountability and adherence. By adding a chatbot, we hope to provide additional legitimate information and social bonding. Aim 1 is to refine the chatbot using human-centered design methods. Before putting the chatbot into groups, we want to ensure it can communicate 1:1. We will recruit 4 groups of 5 smokers (N=20), and ask each person to interact with the chatbot, using all 25 post types. They will think aloud in the presence of trained staff to identify and solve usage problems. The sessions will be taped, a survey conducted, and usability metrics assessed. Aim 2 to conduct a one-armed field trial to assess the chatbot’s feasibility and acceptability within human support groups. We will recruit smokers in 2 groups of 10 (N=20). Participants will be placed in a mobile group with the chatbot and asked to support each other in quitting for 2 weeks. We will download and analyze posts and conduct exit interviews. Aim 3 is to conduct a pilot RCT of chatbot efficacy. We will recruit 4 cohorts with 30 smokers per cohort, randomizing 15 smokers to intervention arm (support group with chatbot) and 15 to control arm (support group without chatbot). We will measure primary and secondary engagement outcomes and will have adequate power to compare intervention vs. control. We will also measure intervention-end bioconfirmed abstinence to power a larger RCT.

NCI - National Cancer Institute

PROJECT SUMMARY The overall goal of this project is the comprehensive structural and dynamic characterization of the highly flexible human K-Ras oncoprotein and its interactions with protein-binding partners and small-molecule ligands in both its normal and dysregulated states by the combined use of state-of-the-art experimental and computational methods. K-Ras is well-known to be exceptionally susceptible to carcinogenic mutations in certain key amino-acid positions, which through a cascade of protein signaling processes dysregulate cell proliferation. K-Ras is directly associated with about 25% of all human cancers. As a GTPase, K-Ras is a molecular switch with wild-type K-Ras being in its on-state when bound to GTP and turning to the off-state through catalytic hydrolysis of GTP to GDP. In oncogenic mutants, such as G12C, G12D, and G12V, K-Ras is perpetually locked into active signaling of the Ras-Raf-MEK-ERK pathway leading up to malignancy. This project builds on recent breakthroughs in the applicant’s lab overcoming two key obstacles that have severely impaired past efforts to understand K-Ras and its interactions with its protein partners and potential drug ligands: they made the functionally critical Switch I and Switch II regions of K-Ras fully visible and assigned by NMR and overcame the need to work with non-hydrolyzable GTP-analogs instead of native GTP as an integral K-Ras ligand. Leveraging these advances, it is proposed to comprehensively investigate the structural-dynamics ensembles of K-Ras in the presence and absence of its functionally critical protein binding partners and small-molecule ligands by NMR and computational modeling. This entails the full characterization of the modes of interactions of K-Ras wild-type vs. G12 mutants and GTP- vs. GDP-bound with the small-molecule drug candidate MRTX1133, protein GTPase activating protein (GAP), and the RBD and CRD domains of the downstream signaling protein-kinase B-Raf. The wealth of quantitative NMR data at atomic resolution will give novel information essential for our understanding of the driving forces underlying K-Ras and its function in health and disease. These data will provide powerful synergies with computational approaches, such as AlphaFold and extended molecular dynamics computer simulations for obtaining a realistic, experimentally validated in silico description of K-Ras behavior in the presence of its binding partners for wild-type and the mutants. Validated conformational ensembles will be subsequently mined for allosteric effects and used for virtual ligand screening including cryptic pockets uncovered during this process. Due to its highly dynamic nature, the fully quantitative atomic-level structural-dynamic model of K-Ras and its binding partners is likely to be directly beneficial enabling the discovery of key molecular determinants of K- Ras cancer biology and guiding the design of new therapeutic strategies to silence mutationally activated K-Ras.

NIAID - National Institute of Allergy and Infectious Diseases

Project Summary The Immunity and Microbial Infection (IMI) training program at the University of Oklahoma Health Sciences Center (OUHSC) will provide interdisciplinary research training to five predoctoral trainees per year over a five- year period. Training the scientist in immunology and its relationship to infectious diseases, as well as to other related disciplines such as biochemistry, physiology, and cell biology, will be crucial for the future of IMI-related sciences. The overall goal of the training program is to produce interactive, productive, highly trained investigators with state-of-the-art skills who will be capable of contributing to the next generation of scientific discovery in IMI-related basic, translational, and clinical research. The program is unique in that it encompasses faculty from OUHSC and the Oklahoma Medical Research Foundation (OMRF) that have a strong focus on immunology and microbial pathogenesis. There is a long history of collaborative research and training between members of the proposed IMI training program at OUHSC/OMRF, with strong NIH funded research programs, new faculty, and extensive facilities all of which foster an atmosphere of excellence in training. Most predoctoral trainees are recruited nationally and internationally through the OUHSC Graduate Program in Biomedical Sciences (GPiBS) interdisciplinary umbrella program, which provides an excellent pool of predoctoral students. The predoctoral students will be eligible for the training program after successfully passing the qualifying exam. Trainees will be selected for funding on a competitive basis, after a thorough review of their accomplishments and future plans by IMI training program advisory and selection committees. Progress of trainees will be reviewed throughout the year and appointments will be competitively renewed yearly with a maximum of three years of support for predoctoral trainees. Symposium days, journal club classes, workshops on emerging technologies, and work in progress presentations will be effective in bringing our predoctoral trainees together with the training faculty in an environment that fosters excellence. Participation in courses is devoted to ethics and accountability in biomedical research, rigor and reproducibility, and mentoring. Trainees will have multiple opportunities to present their work at national/international meetings. Further, the IMI training program will emphasize the development of scientific writing skills to facilitate successful publication of peer-reviewed articles and preparation of grant applications. Development of career objectives will be guided by the trainee’s Individual Development Plan (IDP). There is currently a lack of federally funded training programs in IMI-related research in Oklahoma and surrounding states. This training program will address this need by providing the crucial resources needed to prepare trainees for future careers focused on basic, translational, and clinical research in microbiology and immunology.

NIGMS - National Institute of General Medical Sciences

Tulane University was started as the Medical College of Louisiana in 1834 and has a long track record of training physician scientist leaders in US Medicine including Dr. Michael DeBakey, Dr. Ruth L. Kirschstein, past Director of NIGMS and NIH, and Dr. Clyde Yancy, Chief of Cardiology at Northwestern University. Recognizing the need to train the next generation of physician scientists, the Dean established the Physician Scientist Program in 2002 that provides tuition support for 2 trainees per year from the Dean’s office. Over 90% of these trainees have stayed in academic research and some of the trainees have been awarded independent research grants already. Tulane has made a strong commitment to research with establishing the American Association of University (AAU) recruitment program that has led to the recruitment of several AAU scholars that have increased Tulane’s investigator initiated R01 funding by over 70% in the last five years. Moreover, President Fitts has established the Presidential Chairs of which two reside in the School of Medicine. This strategic investment has greatly increased the training opportunities for MD-PhD students. Recognizing the need to expand this program, Tulane has developed this MSTP application to take advantage of the exceptional training faculty in the School of Medicine, the School of Public Health, and the School of Science and Engineering. This program takes advantage of several pipeline programs already established at Tulane to target STEM based students in clinical and bench research and provide these undergraduates, the skillset to be competitive applicants to the MSTP program. Moreover, this program will complement the NHLBI funded R38 that focuses on the resident pipeline. The goal of TuLEAD is to train a cohort of MSTP students in innovative research in the areas of infectious disease, immunology, cardiovascular and renal physiology, and pharmacology. Aim 1: Tulane MSTP will develop a highly innovative national and local campaign to identify and encourage meritorious students to train as physician scientists and provide them with rigorous dual degree training in clinical medicine and in wet-lab or dry-lab (or both) research. Aim 2: We will train clinician-scientists with the necessary qualifications to conduct rigorous scientific research and engage in clinical and translational research across the spectrum of human disease. Training will be a through a combination of didactics, simulation, and state of the art rigorous research training. Aim 3: A key component of physician scientist development is not only learning and conducting rigorous research but to also serve as educators for the next generation. With the interaction of this program with Tulane’s undergraduate programs we well our summer research programs, MSTP trainees will also have the opportunity to serve as mentors. We have strong relationships with several undergraduate universities in New Orleans (such as Dillard University), and an established summer program for their undergraduates to work in Tulane laboratories, with current MD/PhD students mentoring one on one.

Studio Lazo

The Third Annual International Childrens Day celebration will be April 15, 2018 from 10am to 1pm at Casa Latina located at 1614 S Jackson St. This free community celebration will feature 10 different art workshops taught by professional artists, predominantly in Spanish. The workshops will feature creating poems, traditional mask making and Oaxacan dance, along with making prints, and storytelling.

Turkish American Cultural Association of Washington

The International Children's Friendship Festival (ICFF-https://childrensfest.tacawa.org/) fosters cultural understanding and empowers Seattle youth. Inspired by International Children's Day, ICFF celebrates diverse young voices through a vibrant 2-day festival and year-round arts programs. Youth collaborate in art, public speaking, and civic advocacy, attracting thousands and gaining recognition from the City of Seattle. Celebrating its 15th anniversary in 2024, ICFF builds a more inclusive future through youth arts.

International Women’sDay - 2017

This event on March 11, 2017 from 9 am to 4 pm at The Brockey Center at South Seattle Community College will be held in celebration of International Women's Day. Through story-telling, facilitated conversations, collaborative art and dance, participants will know they are part of a caring and vibrant community of women. It is free and open to the public.

Somali Family Safety Task Force

On March 8, 2023 the Somali Family Task Force will be hosting the International Women's Day Celebration at New Holly Gathering Hall located at 7054 32nd Ave S from 4pm to 8pm. The event is a day to value women's achievements, raise awareness of their contributions to society, and a opportunity for immigrant women to come together for friendship, cross-cultural conversations, music, art, food and dance. The event is free and open to public.

NIEHS - National Institute of Environmental Health Sciences

Project Summary Up to 40% of the U.S. population is exposed to unhealthy air pollution, with particulate matter (PM) being a major contributor. PM exposure induces oxidative stress and inflammation and leads to severe lung diseases, which is mediated by the Aryl-hydrocarbon receptor (AhR) pathway and epithelial cytokines. Despite growing evidence, the underlying molecular mechanisms are not fully understood, limiting the development of targeted interventions. Emerging research suggests that PM exposure influences N6-methyladenosine (m6A) RNA modification, which regulates RNA stability and translation, through altering the expression of proteins adding, removing and binding to this modification ("Readers", "Writers", and "Erasers", abbreviated as "RWEs"). Intriguingly, RNA m6A "read- ers" can recruit epigenomic regulators such as DNA demethylase TET1 to alter DNA methylation and chromatin accessibility, highlighting crosstalk between RNA m6A and TET1-mediated epigenomic mechanisms. Whether RNA m6A interacts with TET1 and TET1-mediated epigenomic mechanisms in airway epithelial cells, how they interact and contribute to PM-induced lung inflammation remain as significant research gaps. In response to NIEHS RFA-ES-25-001 (EPCOT), this proposal aims to investigate the interactions between TET1-mediated epigenomic mechanisms and RNA m6A in PM-induced lung inflammation. Our preliminary data established a novel role of TET1 in protecting against PM-induced lung inflammation and remodeling, through promoting the expression of detoxifying enzymes downstream AhR signaling and restricting proinflammatory cytokines. Our data also suggest a novel, noncanonical role of TET1 in regulating chromatin accessibility and CTCF looping to regulate gene expression, in addition to DNA methylation and histone modification, in human bronchial epi- thelial cells. Importantly, we found that TET1 regulates the expression of RNA m6A RWEs in HBECs and mouse lungs, through both canonical and non-canonical roles, resulting in changes in global RNA m6A. Collectively, we hypothesize that TET1 mediates interactions between multiple epigenomic mechanisms and RNA m6A to re- strict PM-induced lung inflammation. To test this hypothesis, we will examine how TET1 regulates m6A RWEs in airway epithelial cells by analyzing 5mC/5hmC, histone modifications, chromatin accessibility, and CTCF-medi- ated looping in response to PM exposure in Aim 1. In Aim 2, we will identify genome-wide RNA m6A changes following PM exposure and TET1 loss and determine the impact of these changes on mRNA stability and protein translation of target genes, especially those contributing to lung inflammation. In Aim 3, we will identify genomic locations with both RNA m6A and TET1-regulated epigenomic features, investigate interactions between TET1 and m6A readers at these locations, and evaluate the impact of PM exposures on these interactions. Leveraging a highly collaborative research team with complementary expertise, unique PM samples and resources, and state-of-the-art technologies, the proposed research is expected to provide novel mechanistic insights into PM- induced pulmonary toxicity and disease, potentially leading to targeted interventional strategies.

NHLBI - National Heart Lung and Blood Institute

PROJECT SUMMARY – OVERALL This Program Project Grant (PPG) seeks to address critical gaps in our current understanding of the pathogenesis of myeloproliferative neoplasms (MPNs). The overall objective of this proposal is to determine how inflammatory cytokine signaling pathways intersect with cell intrinsic/extrinsic mechanisms to drive clonal expansion and MPN disease progression. Our proposed PPG comprises four Projects and three Cores. Each of the Projects are led by an established investigator with many years of experience in their respective field of research. Despite this being a new PPG application, the Project Leaders already have a history of collaborating and publishing together, with many jointly authored publications. The proposed projects leverage established collaborations and incorporate state-of-the-art approaches to foster synergy beyond what could be achieved independently. Project 1 investigates mechanisms of DUSP6-RSK1 signaling driving MPN progression. Project 2 is focused on cell extrinsic mechanisms influencing MPN clonal evolution. Project 3 studies non-cell-intrinsic mechanisms of JAK2- mutant HSC clonal expansion. Project 4 is focused on the role of TNFɑ in MPN disease development and clonal expansion. Core A is the Administrative Core that will execute the overall PPG objectives, ensuring that all research and programmatic goals are met. Core B is the Biospecimen and Pathology Core that will centrally manage sample collection, processing and storage, and will coordinate the integration of de-identified clinical data with individual MPN patients and samples. Core C is the Bioinformatics and Biostatistics Core will provide essential bioinformatics and biostatistical expertise to support the analytical needs of all projects within the PPG. All Project Leaders and Core Leaders are at the same institution, reflecting the exceptional scientific environment at Washington University that will further enhance the impact of this PPG.