Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=3&sort=program_officials
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_officials", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=program_officials", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=2&sort=program_officials" }, "data": [ { "type": "Grant", "id": "11005", "attributes": { "award_id": "5P50MD017349-02", "title": "VIDA: Virtual Diabetes Group Visits Across Health Systems", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-09-24", "end_date": "2026-06-30", "award_amount": 622687, "principal_investigator": { "id": 24458, "first_name": "Arshiya Ahmed", "last_name": "Baig", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 289, "ror": "https://ror.org/024mw5h28", "name": "University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 289, "ror": "https://ror.org/024mw5h28", "name": "University of Chicago", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "Of the 30 million adults with DM in the United States, 97% have at least one comorbid condition (e.g. hypertension, heart disease, kidney disease). DM and DM-related complications disproportionately affect people of color. The prevalence of DM is higher among Hispanics (12.5%) and African-Americans (11.7%) compared to non-Hispanic whites (7.5%); Hispanics and African-Americans have higher rates of diabetes-related complications, including amputations and CKD. Group visits (GVs) can provide patients with comprehensive care for their multimorbid chronic condition. Diabetes GVs—shared appointments where patients receive self- management education in a group setting and an individual medical visit—can improve glycemic control, decrease healthcare utilization, and provide social support and co-learning among peers. While virtual appointments have become a routine part of clinical care during the COVID-19 pandemic, group visits via virtual platforms remain uncommon and understudied. Before the model can be widely adopted, important questions about the effectiveness and implementation of the virtual diabetes GV model need to be addressed. We propose to build on an established program of in-person diabetes GVs and a virtual diabetes GV pilot by the University of Chicago and MidWest Clinician’s Network. We aim to implement the virtual GV model (VIDA: Virtual Diabetes Group Visits Across Health Systems) in two distinct health systems in the Chicago region: ACCESS and Advocate Aurora Health (AAH). ACCESS is one of the largest federally qualified health centers (FQHCs) in the U.S. with 35 sites across the Chicago metropolitan area, providing care for 175,000 medically underserved and low-income patients each year, including over 25,000 patients with diabetes. Advocate Aurora Health (AAH) is a large, diverse, integrated private not-for profit health system with more than 129 primary care clinics in Illinois serving over 117,000 patients with diabetes. The ability to train, implement and evaluate virtual group visits across two distinct health systems provides a unique opportunity to learn about adaptation and the barriers and facilitators for program implementation. This study will use a type I hybrid effectiveness-implementation design via a pragmatic cluster randomized trial to assess changes in clinical outcomes among adults with T2DM in virtual diabetes GVs versus usual care. We will first adapt and implement VIDA at one ACCESS FQHC center and one AAH primary care clinic using the Form and Function domains of the Complex Health Intervention Framework. We will assess integration of VIDA into clinical workflow and determine the type of and amount of training and technical support needed to assist staff in integrating virtual diabetes GV into the clinical setting. We will then conduct a pragmatic cluster randomized trial of virtual GVs across 9 intervention sites (180 adult patients with T2DM with A1C >9%) and 9 control sites (360 matched patients) and assess change in A1C from baseline to 12-months and change in other clinical outcomes including systolic blood pressure and body mass index. We will assess adoption, implementation, and maintenance of virtual GVs across systems using RE-AIM framework.", "keywords": [ "Chicago", "Chronic", "Diabetes Mellitus", "Health system", "Visit", "virtual" ], "approved": true } }, { "type": "Grant", "id": "4583", "attributes": { "award_id": "1362098", "title": "19th Lexical-Functional Grammar Conference", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Linguistics" ], "program_reference_codes": [], "program_officials": [], "start_date": "2014-03-01", "end_date": "2015-02-28", "award_amount": 12199, "principal_investigator": { "id": 15814, "first_name": "Damir", "last_name": "Cavar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1310, "ror": "https://ror.org/02ehshm78", "name": "Eastern Michigan University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 15813, "first_name": "Malgorzata", "last_name": "Cavar", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1310, "ror": "https://ror.org/02ehshm78", "name": "Eastern Michigan University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "This award provides support for the 19th Lexical-Functional Grammar (LFG) Conference, to be held July 17-19, 2014 in Ann Arbor, Michigan. A central goal of the LFG framework is to create a model of grammar which is sufficiently sophisticated for theoretical linguists to formulate a model of natural language, but which can also be used in theoretical and applied areas of computational linguistics and natural language processing. Because of its formal rigor, LFG has been used as the theoretical basis of various machine translation tools, for example, AppTek's TranSphere, and the Julietta Research Group's Lekta. The annual conference is the largest annual LFG meeting, offering a venue for the exchange of ideas, and fostering cooperation for theoretical and computational linguists. It has a truly international outreach, with participants coming from Europe, Asia, Australia, and America. This will be the first LFG conference held in the USA since 2007. \n\nThe leitmotif of the 2014 conference is \"Language Documentation and Linguistic Theory.\" It will provide a platform for the discussion of the role of linguistic theories (LFG and other generative models, e.g. Head-Driven Phrase Structure Grammar (HPSG) and the Minimalist Program) in language documentation and descriptive linguistic research. The possibility of using theoretically motivated computational environments (e.g. Finite State Morphologies or syntactic parsers) for ongoing efforts in the domain of under-resourced and endangered languages research is highly relevant in the context of many projects seeking to document and maintain endangered languages. The conference will be followed by a one-day ParGram workshop, and a one-day workshop on unbounded dependencies in LFG.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10633", "attributes": { "award_id": "75N93022C00052-0-9999-1", "title": "ADJUVANT COMPARISON AND CHARACTERIZATION", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-01", "end_date": "2023-08-31", "award_amount": 3299681, "principal_investigator": { "id": 7241, "first_name": "BALI", "last_name": "PULENDRAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of the Adjuvant Comparison and Characterization (ACC) program is to support side-by-side comparison of adjuvants in combination with clinically relevant vaccine/antigen platforms, and to establish both systemic and tissue-specific immunological profiles (“immune fingerprints”) of adjuvants that work through different mechanisms in the context of Sars-CoV-2 vaccines.", "keywords": [ "Adjuvant", "COVID-19 vaccine", "Data Analyses", "Fingerprint", "Goals", "Human", "Immune", "Immunologics", "Mus", "Organoids", "Side", "Tissues", "Tonsil", "Vaccine Antigen", "Work", "adaptive immune response", "clinically relevant", "data management", "programs" ], "approved": true } }, { "type": "Grant", "id": "10497", "attributes": { "award_id": "75N93022C00050-0-9999-1", "title": "CAPTURING MEDICAL MISINFORMATION IN SOCIAL MEDIA USING AN ADVANCED AI SOLUTION SET", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-08-08", "end_date": "2023-08-07", "award_amount": 300000, "principal_investigator": { "id": 26504, "first_name": "MANOOCHEHR", "last_name": "GHIASSI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "To develop digital tools to identify and combat malicious digital bots that spread misinformation about infectious disease treatments and vaccines, including COVID-19 vaccines.", "keywords": [ "2019-nCoV", "Basic Science", "COVID-19 vaccine", "Coronavirus", "Medical", "Misinformation", "Vaccines", "combat", "digital", "infectious disease treatment", "social media", "tool" ], "approved": true } }, { "type": "Grant", "id": "5113", "attributes": { "award_id": "1006919", "title": "Oklahoma Optical Initiative", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "EPSCoR Research Infrastructure" ], "program_reference_codes": [], "program_officials": [], "start_date": "2010-09-01", "end_date": "2013-08-31", "award_amount": 1176470, "principal_investigator": { "id": 18221, "first_name": "Henry", "last_name": "Neeman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 18219, "first_name": "Dana", "last_name": "Brunson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 18220, "first_name": "James", "last_name": "Deaton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 157, "ror": "", "name": "University of Oklahoma Norman Campus", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true }, "abstract": "Oklahoma Optical Initiative \n\nProposal Number:\tEPS - 1006919 \nInstitution:\tUniversity of Oklahoma Norman Campus\nProject Director:\tHenry J. Neeman\n\nThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). \n\nThis OK Inter-campus and Intra-campus Cyber Connectivity (RII C2) project would be led by the University of Oklahoma Norman Campus to benefit the entire state.\n\nIntellectual Merit\nThrough the Oklahoma Optical Initiative (OOI), the OK RII C2 project plans to facilitate the ability to provision a substantial number of dedicated high performance connections, both within Oklahoma and to national and international networks (e.g., Internet2, NLR). OOI would transform Oklahoma's existing research ring from routed to optical, leveraging existing infrastructure while advancing optical switching components to a new level, facilitating substantial improvement in reliability, robustness, availability and potentially bandwidth, as well as enabling the ability to provision dedicated lambdas. This initiative will leverage extant and emerging investments by OneNet and University of Oklahoma (OU). \n\nIndividual Oklahoma institutions will achieve substantial connectivity transformations, so they can take advantage of OOI. In particular: \n(a) OU's supercomputer will have its world-facing network connectivity upgraded to 10 Gbps (10X increase);\n(b) OSU (Oklahoma State University) will be upgraded to 10 Gbps intra-campus (10x increase), from its current 1 Gbps intra-campus (but 10 Gbps ring-facing); \n(c) University of Tulsa will be upgraded to 1 Gbps (5X increase), for research use only, at no upcharge; \n(d) Langston University (LU) bandwidth for High Energy Physics (HEP) projects will be increased to 10 Gbps (100X increase), at no upcharge; \n(e) Noble bandwidth will be increased to 250 Mbps (5X increase) via a fiber Indefeasible Right to Use agreement, at no upcharge; \n(f) Rural and nonmetro connectivity will be improved, via redeploying extant optical components from the research ring to OneNet's remote hubsites. \n(g) The Oklahoma Telepresence Initiative will make High Definition telepresence available to all higher education campuses in Oklahoma.\n\nOklahoma currently has an RII Track 1 on bioenergy and an RII Track 2 on ecoinformatics. The Track 1, a collaboration among Oklahoma State University, the University of Oklahoma and the Samuel Roberts Noble Foundation (Noble), isn't a large consumer of network connectivity, but Noble currently is at only 45 Mbps, expected to be inadequate for emerging needs; the Track1 also includes the Oklahoma Cyberinfrastructure Initiative (OCII), which provides CI resources to 540 users at 24 institutions (including 11 of Oklahoma's 13 public universities), mostly without usage charges. The Track 2, a collaboration among OU, OSU, the University of Kansas and Kansas State University, uses substantial data, with constant collection and transformation of NASA data made available from a web portal. \n\nOther Data-Intensive Projects include: \n(a) Oklahoma has been a longstanding leader in meteorology research, especially in real time forecasting of severe storms, including: the Center for Analysis and Prediction of Storms; the Linked Environment for Atmospheric Discovery collaboration (NSF Large Information Technology Research); development of the Advanced Regional Prediction System as an NSF Science and Technology Center and now a key developer of the Weather Research and Forecasting (WRF) model; a just-awarded NSF Petascale Applications grant for Ensemble Kalman Filtering on the NSF's Blue Waters multi-petaflops system. \n(b) For the past 6 years, Oklahoma's DOE EPSCoR has supported a High Energy Physics collaboration among OU, OSU and LU, Oklahoma's only Historically Black University. In addition, OU and LU, with two other institutions, form the NSF-funded ATLAS Southwest Tier2 Center. At OU, HEP projects are expected to consume roughly 5 Gbps starting in 2010; at LU, campus networking capability is inadequate for LU's growing computing and data responsibilities. \n(c) The OU and OSU HPC centers support dozens of research teams. \n(d) The state's Science & Technology (S&T) plan includes bioenergy, plant science, weather and weather sensors, plus other areas that are supported under OCII but not called out in this RII C2 proposal.\n\nBroader Impacts\nThe Oklahoma Networking Mentorship Program will provide networking professionals from OU and OneNet to institutions across the state (20 institutions have expressed interest), to deliver presentations on the practicalities of the networking profession and job shadowing opportunities, both physical and virtual. In addition, each of the science projects described has its own extensive education program, Oklahoma Cyber-infrastructure Initiative (OCII) has its longstanding and successful SiPE education program, and Oklahoma EPSCoR has comprehensive educational and outreach programs, links to economic development and to initiatives designed to enhance public awareness of the importance of science.\n\nK-12 students and teachers are being exposed to cutting-edge science and CI through summer technology academies, mobile science vehicles, and teacher training workshops. Undergraduate student research experiences in industry and academia are supported and talented students are being recruited into bioenergy based graduate programs. Workshops are being geared towards the education, training and integration of CI in the outreach and research components of Oklahoma's RII projects. Conferences to encourage multidisciplinary, multi-campus collaborations and to enhance faculty competitiveness in future grant submissions are being supported. An entrepreneurial workshop, a business plan competition for students along with commercialization vouchers to assess the commercial potential of researcher's inventions would foster the spirit of entrepreneurship of both students and faculty. \n\nAlong with publications, website and wiki, outcomes of this RII C2 project are proposed to be disseminated via the Oklahoma Supercomputing Symposium, which in 8 years has had over 2000 attendees from 84 academic institutions in 23 states and Puerto Rico (32 in Oklahoma and 19 in 12 other EPSCoR jurisdictions), including PhD-, masters- and bachelors-granting universities, community colleges, career techs, a high school and public school systems, as well as 79 private companies, 29 government agencies (21 in Oklahoma) and 13 non-governmental organizations.\n\nRII education outreach initiatives embrace the inclusion of underrepresented groups and women, and strengthen competitiveness and diversity through collaboration with LU (Oklahoma's HBCU) and tribal college, facilitating transition from high school to college, providing culture-attuned counseling support, and promoting enhancement programs to retain students pursuing STEM disciplines. Other initiatives promote effective communication of scientific advances to enhance public awareness of the value of science to the state legislature and the general public. Collectively, the RII investments would position Oklahoma to enhance competitiveness for mainstream NSF funding.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10697", "attributes": { "award_id": "1I01RX003639-01A2", "title": "Home-Based Exercise Tele-Rehabilitation in High-Risk Veterans: Impact of COVID-19 Exposure and Socioeconomic Factors", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": "2026-09-30", "award_amount": null, "principal_investigator": { "id": 26753, "first_name": "KRISANN K", "last_name": "OURSLER", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 26754, "first_name": "ALICE S.", "last_name": "RYAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": null, "keywords": [], "approved": true } }, { "type": "Grant", "id": "4805", "attributes": { "award_id": "1238362", "title": "2012 Rock Deformation Gordon Research Conference: Feedback Processes in Rock Deformation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Tectonics" ], "program_reference_codes": [], "program_officials": [], "start_date": "2012-06-01", "end_date": "2013-05-31", "award_amount": 22505, "principal_investigator": { "id": 16662, "first_name": "Peter", "last_name": "Kelemen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 16661, "first_name": "Nancy R", "last_name": "Gray", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 226, "ror": "https://ror.org/05rad4t93", "name": "Gordon Research Conferences", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "This project provides funding for travel and registration support to U.S. based early-career professionals and students to attend the Gordon Research Conference \" Feedback Processes in Rock Deformation\", which will be held in Andover, NH from August 19-24, 2012. The Rock Deformation conference series highlights the latest research and future trends in brittle and ductile rock mechanics, with experimental, field and theoretical contributions. The broad goals are to assess the understanding of the nature and controls on rock strength, fracture, friction, ductile deformation, and both fluid and melt flow during natural tectonic loading. This particular conference focuses on feedback mechanisms, which are very important in controlling the rates and mechanisms of rock deformation. Positive feedbacks lead to accelerating rates, and commonly to spatial focusing whereas negative feedbacks commonly cause decelerating, spatially distributed deformation and reaction. Major topics addressed at this conference include: (1) mechanisms of failure in geological materials at high confining pressure; (2) fluid-assisted slip, earthquakes and fracture; (3) reaction-driven cracking; (4) localized fluid transport (feedbacks involving chemical reaction; mechanical feedbacks); and (5) dynamic triggering of earthquakes.\n\nThis conference addresses many cutting-edge frontier research topics in tectonics, geophysics, and related fields. The conference theme has special relevance for extraction of unconventional hydrocarbon resources, implementation of enhanced geothermal systems, geological carbon capture and storage, and understanding seismic hazards. The conference would promote the participation of students, early career scientists, and researchers from underrepresented groups in the earth sciences.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5124", "attributes": { "award_id": "NNX10AR42G", "title": "We propose a set of two 19 arcmin offset observations for the galaxy group MKW 4 to measure spatially resolved density, temperature and iron abundance out to 1''500, These measurements are crucial for an accurate determination of the gas mass profile and", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2011-01-01", "end_date": "2012-12-31", "award_amount": 0, "principal_investigator": { "id": 18257, "first_name": "DAVID", "last_name": "BUOTE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1407, "ror": "", "name": "REGENTS OF THE UNIVERSITY OF CALIFORNIA THE (6406)", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": null, "abstract": "We propose a set of two 19 arcmin offset observations for the galaxy group MKW 4 to measure spatially resolved density, temperature and iron abundance out to 1''500, These measurements are crucial for an accurate determination of the gas mass profile and", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10537", "attributes": { "award_id": "272201700061C-P00009-9999-2", "title": "COVID-19: External Quality Assurance Program Oversight Laboratory (EQAPOL)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2023-09-29", "award_amount": 1787600, "principal_investigator": { "id": 24151, "first_name": "THOMAS", "last_name": "DENNY", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 246, "ror": "https://ror.org/00py81415", "name": "Duke University", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "The mission of the Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), is to increase basic knowledge of the pathogenesis and transmission of the human immunodeficiency virus (HIV), support the development of therapies for HIV infection and its complications, and support the development of vaccines and other prevention strategies. Reliable laboratory data are essential to the clinical evaluation of candidate HIV vaccine platforms and immunogens. Data from multiple laboratories performing assays in support of single or multiple vaccine candidate trials must be accurate and reproducible. The purpose of the External Quality Assurance Program Oversight Laboratory (EQAPOL) is to provide confidence that individual laboratories generate reliable data to support HIV vaccine immunogen advancement. EQAPOL supports these efforts by participating in the development and availability of validated assays, providing common and well-characterized reagents and Standard Operating Procedures (SOPs), and providing External Quality Assurance (EQA) programs to measure and monitor laboratory performance. This project will provide external quality assurance program support for laboratories performing immunology assays for COVID-19 Prevention Network (CoVPN)-led vaccine efficacy trials.", "keywords": [ "2019-nCoV", "Acquired Immunodeficiency Syndrome", "Antigens", "Binding", "Biological Assay", "Biometry", "COVID-19", "COVID-19 Prevention Network", "COVID-19 assay", "Data", "Development", "Flow Cytometry", "HIV", "HIV Infections", "HIV vaccine", "Immunology", "Immunology procedure", "Individual", "Knowledge", "Laboratories", "Measures", "Mission", "Monitor", "National Institute of Allergy and Infectious Disease", "Pathogenesis", "Performance", "Prevention strategy", "Procedures", "Reagent", "Reproducibility", "SARS-CoV-2 antibody", "Stains", "United States National Institutes of Health", "cytokine", "data management", "data quality", "design", "efficacy trial", "programs", "quality assurance", "reagent standard", "repository", "research clinical testing", "therapy development", "transmission process", "vaccine candidate", "vaccine development", "vaccine efficacy", "vaccine platform" ], "approved": true } }, { "type": "Grant", "id": "4173", "attributes": { "award_id": "1608537", "title": "The new identity of galectin-3 as a glycosaminoglycan binding protein", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Chemistry of Life Processes" ], "program_reference_codes": [], "program_officials": [], "start_date": "2016-09-01", "end_date": "2021-08-31", "award_amount": 420965, "principal_investigator": { "id": 14049, "first_name": "Tarun", "last_name": "Dam", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 512, "ror": "https://ror.org/0036rpn28", "name": "Michigan Technological University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 512, "ror": "https://ror.org/0036rpn28", "name": "Michigan Technological University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "Glycan-binding proteins are crucial for a wide range of biological processes. They belong to two distinct groups: lectins and glycosaminoglycan (GAG)-binding proteins (GAGBPs). A member of one group rarely possesses the characteristics of both groups. The human lectin Galectin-3 (Gal-3) is a member of the first group. This project is based on the finding that Gal-3, a lectin, actually possesses characteristics of a GAGBP. The current study investigates these newly-discovered characteristics of Gal-3. The research is integrated with educational activities through an initiative called \"From Bench to Blackboard.\" This initiative introduces glycobiology to high school students and K-12 teachers through lab- and web-based approaches. The anticipated results from the proposed work is revealing hitherto unknown properties of Gal-3 and will inspire new research activities involving Gal-3 and GAGs.\n\nGal-3 is one of the most extensively studied human lectins but it has never been reported as a GAGBP. However, preliminary data for this study show that Gal-3 binds to sulfated GAGs and proteoglycans. The proposed research elucidates the detailed interactions of Gal-3 with GAGs and proteoglycans. The length and sulfation level of GAGs, that are optimal for binding by Gal-3, are determined by calorimetry and spectroscopy. The GAG binding site of Gal-3 is being delineated with the use of site directed mutagenesis. Various biophysical techniques are employed to study non-covalent cross-linking of Gal-3 by GAGs and proteoglycans. In addition, competitive cross-linking of Gal-3 by GAGs and glycoproteins is also being examined. Information obtained from this research is redefining the binding properties of Gal-3 and providing a foundation for discovering Gal-3 dependent cellular and extracellular functions of GAGs and proteoglycans.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 3, "pages": 1392, "count": 13920 } } }