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This FOA invites applications that propose to develop, characterize and validate innovative human cellular model systems that recapitulate phenotypic, mechanistic and neuropathological hallmarks of  Alzheimer's Disease-Related Dementias (ADRDs). Model systems will be expected to capture the complex, multi-faceted proteinopathies and/or vascular pathology observed in ADRDs, with multiple cell types represented in each model. Years 3-5 will focus on the extensive characterization and perturbation of the cellular model systems. The overall goal of this FOA is to establish next generation human cellular model systems for ADRDs to serve as tools to interrogate molecular disease mechanisms and identify potential therapeutic targets.

The goal of this FOA is to support research that will lead to a greater understanding of complex mechanisms by which the brain glymphatic system and meningeal and peripheral lymphatic systems change in normal and pathological brains. This knowledge is critical to determine whether a functional impairment or disruption of these systems may be involved in neurological disorders that are associated with immune system dysfunction, such as Alzheimer's disease.

The Administrator of the Administration for Community Living establishes a priority for the funding of a National Traumatic Brain Injury (TBI) Model Systems Data Center that advances medical rehabilitation by increasing the rigor and efficiency of scientific efforts to longitudinally assess the experience of individuals with TBI. This Data Center must maintain the national longitudinal database for data submitted by each of the TBIS Model Systems Centers. This Data Center must also ensure collection of high quality data and support rigorous research by the model system centers by monitoring data quality, providing training in collecting TBI Model Systems data, and providing methodological consultation to these centers.

The purpose of this FOA is to solicit applications for the AD/ADRD Health Care Systems Research Collaboratory ("Collaboratory", henceforth) to improve care for persons with dementia (PWD) and their caregivers through health systems. Health and long-term systems for this FOA are defined broadly and include organizations providing care across settings to include primary and specialty outpatient care, acute inpatient care, skilled nursing and other rehabilitation facilities, residential long-term care, and home and community-based services. Organizations may be traditional health care systems (e.g., health maintenance organizations, or HMOs), health insurance companies, managed care plans, home health care providers, memory clinics, nursing homes, assisted living facilities, outpatient clinics, federally-designated health centers, hospitals, and other providers of acute and long-term care.

The purpose of this FOA is to stimulate development of translation-enabling models for evaluating survival and integration of regenerated photoreceptors (PRCs) and retinal ganglion cells (RGCs) in model systems that are closer to human visual anatomy, function and/or disease than current models. The development of these models, tools, devices, novel therapies and/or other resources is expected to provide a resource to vision researchers developing cell-replacement therapies for visual system diseases and disorders. This FOA seeks to develop models that emulate critical aspects of a human blinding disease that might be amenable to regenerative therapy. The model system might involve specific defects generated by transgenic gene insertion and/or deletion, gene editing, chemical/physical means, and/or other approaches to emulate characteristics of human disease or create defects amenable to cell-replacement therapy. Model systems using non-human primates or other cone-dominant species that are more representative of the anatomy and physiology of the human retina are highly encouraged. Other biological models are acceptable provided they meet the overall objectives of the FOA.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. 

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines.Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. Two classes of proposals will be considered in response to this solicitation:Research Proposals describing collaborative research projects, andData Sharing Proposals to enable sharing of data and other resources.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), the United States-Israel Binational Science Foundation (BSF), and Japan's National Institute of Information and Communications Technology (NICT) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

The National Institute on Aging is seeking applications on systems biology approaches using non-mammalian laboratory animal models to increase our understanding of the basic biology underpinning neurodegeneration. It is expected that research supported under this FOA will provide new insights into molecular networks that might be involved in causing, amplifying or protecting against neurodegeneration, and that, in turn, might ultimately contribute to Alzheimer's disease or related dementias. Importantly, a major goal of this FOA is to use interaction and regulatory networks produced and analyzed using systems biology to gain these new insights. Because this FOA is directed toward discovery, currently employed genetically modified laboratory animals used to study AD are not required, although they may be used. Because this FOA requires systems biology approaches, data used to build interaction or regulatory networks may also come from humans or other mammals in which AD, related dementias, or aging-related cognitive decline have been observed. This FOA will only support studies using non-mammalian laboratory animal models; studies involving humans or experiments with mammals will not be allowed under this FOA.

The purpose of this Funding Opportunity Announcement (FOA) is to encourage research on the role of the nervous system in metabolism, homeostasis, remodeling and/or regeneration of the postnatal dental and craniofacial skeletal system (DCS) in health and disease. The objectives are to enhance basic science knowledge about interactions between the peripheral and central nervous systems (PNS/CNS) and the DCS, and facilitate development of strategies to optimize normal function, reduce the impact of disease, and develop capacity to repair and regenerate injured teeth and craniofacial bones. 

The Division of Integrative Organismal Systems (IOS) supports research aimed at understanding why organisms are structured the way they are and function as they do. Proposals should focus on organisms as a fundamental unit of biological organization. Principal Investigators (PIs) are encouraged to apply systems approaches that will lead to conceptual and theoretical insights and predictions about emergent organismal properties. Areas of inquiry include, but are not limited to, developmental biology and the evolution of developmental processes, nervous system development, structure, and function, physiological processes, functional morphology, symbioses, interactions of organisms with biotic and abiotic environments, and animal behavior.

This funding opportunity announcement (FOA) encourages the development and validation of: 1) animal models and human tissue ex vivo systems that recapitulate the phenotypic and physiologic characteristics of a defined neurological disorder and/or 2) clinically feasible pharmacodynamic markers for therapeutics designed to treat neurological disease. The goal of this FOA is to promote a significant improvement in the translational relevance of animal models, ex vivo systems, and pharmacodynamic markers that will be utilized to facilitate the development of neurotherapeutics. Ideally, models, model systems and pharmacodynamic markers proposed in applications for this FOA would have the potential to provide feasible and meaningful assessments of efficacy following therapeutic intervention that would be applicable in both preclinical and clinical settings. This FOA is part of a suite of Innovation Grants to Nurture Initial Translational Efforts (IGNITE) focused on enabling the exploratory and early stages of drug discovery.

The National Institute on Aging is seeking applications on systems biology approaches using non-mammalian laboratory animal models to increase our understanding of the basic biology underpinning neurodegeneration. It is expected that research supported under this FOA will provide new insights into molecular networks that might be involved in causing, amplifying or protecting against neurodegeneration, and that, in turn, might ultimately contribute to Alzheimer's disease or related dementias. Importantly, a major goal of this FOA is to use interaction and regulatory networks produced and analyzed using systems biology to gain these new insights. Because this FOA is directed toward discovery, currently employed genetically modified laboratory animals used to study AD are not required, although they may be used. Because this FOA requires systems biology approaches, data used to build interaction or regulatory networks may also come from humans or other mammals in which AD, related dementias, or aging-related cognitive decline have been observed. This FOA will only support studies using non-mammalian laboratory animal models; studies involving humans or experiments with mammals will not be allowed under this FOA.

The purpose of this FOA is to invite applications that investigate aspects of lymphatic vessel physiology, development and pathophysiology related to health and diseases of the digestive system. Studies to understand the factors that control local lymphatic vessel functional anatomy and physiology and development during health or disease in this system and its organs, and the mechanisms by which alterations of lymphatic vessel function affect organ function, are of interest. However, studies with the major focus on immune mechanisms, role of lymphatics in cancer metastasis and study of lymphatic vessels in organs other than those from the digestive system will not be considered responsive.

In 2013, a new NSF-funded petascale computing system, Blue Waters, was deployed at the University of Illinois.  The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains.  The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show a compelling science or engineering challenge that will require petascale computing resources. Proposers must also be prepared to demonstrate that they have a science or engineering research problem that requires and can effectively exploit the petascale computing  capabilities offered by Blue Waters.  Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.

The mission of the Biomedical Engineering (BME) program is to provide opportunities to develop novel ideas into discovery-level and transformative projects that integrate engineering and life science principles in solving biomedical problems that serve humanity in the long-term.  The Biomedical Engineering (BME) program supports fundamental research in the following BME themes: Neural engineering (brain science, computational neuroscience, brain-computer interface, neurotech, cognitive engineering) Cellular biomechanics (motion, deformation, and forces in biological systems; how mechanical forces alter cell growth, differentiation, movement, signal transduction, transport, cell adhesion, cell cytoskeleton dynamics, cell-cell and cell-ECM interactions; genetically engineered stem cell differentiation with long-term impact in tissue repair and regenerative medicine) The BME projects must be at the interface of engineering and life sciences, and advance both engineering and life sciences.  The projects should focus on high impact transforming methods and technologies. The project should include methods, models and tools of understanding and controlling of living systems; fundamental improvements in deriving information from cells, tissues, organs, and organ systems; new approaches to the design of structures and materials for eventual medical use in the long-term; and new novel methods of reducing health care costs through new technologies.

In 2013, a new NSF-funded petascale computing system, Blue Waters, was deployed at the University of Illinois. The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains. The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show a compelling science or engineering challenge that will require petascale computing resources. Proposers must also be prepared to demonstrate that they have a science or engineering research problem that requires and can effectively exploit the petascale computing capabilities offered by Blue Waters. Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.

Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

The purpose of this funding opportunity announcement is to support a practice-based research network in the United States to transform the development, delivery, and sustainability of evidence-based mental health practices and services. Through a research consortium embedded within large and integrated healthcare delivery systems (public and/or commercial systems) that serve representative populations, this Network would result in a continuously learning healthcare system as defined by the Institute of Medicine, to create a continuous cycle or feedback loop in which scientific evidence informs clinical practice while data gathered from clinical practice and administrative sources inform scientific investigation.

This RFA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one renewal. Projects will incorporate overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise - including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration.