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This Funding Opportunity Announcement (FOA) intends to support a Brain Cell Data Center (BCDC) that will work with other BICCN Centers and interested researchers to establish a web-accessible information system to capture, store, analyze, curate, and display all data and metadata on brain cell types, and their connectivity. The BCDC is expected to: (1) lead the effort to establish spatial and semantic standards for managing heterogeneous brain cell census data types and information; (2) lead the effort to collect and register multimodal brain cell census data to common brain coordinate systems; (3) generate searchable 2D and 3D digital brain atlases for cell census data; and (4) generate a unified and comprehensive brain cell knowledge base that integrates all existing brain cell census data and information across diverse repositories.  A central goal of this and the three companion FOAs is to build a brain cell census resource that can be widely used throughout the research community.

This Funding Opportunity Announcement (FOA) intends to accelerate the integration and use of scalable technologies and tools to enhance and reinvigorate brain cell census research, including the development of technology platforms and/or resources that will enable a swift and comprehensive survey of brain cell types and circuits. Of particular interest are those that will (a) improve technology and resource platforms to remove limitations and bottlenecks in the current pipeline of brain cell census data generation; (b) integrate experimental and computational methods to enhance capabilities of cell census data generation and analysis and to reduce barriers to hypothesis-driven research; (c) generate a substantial amount of spatiotemporal cell census data and/or resources to demonstrate the utility of the improved technology and resource platforms; and (d) conduct comparative studies by using proper criteria to evaluate and benchmark quality of biospecimen, performance of cell census tools/technologies, and effectiveness of computational approaches. The projects funded under this FOA will align with the overarching goals of the BRAIN Initiative Cell Census Network (BICCN) and are expected to generate a substantial amount of cell census data using the proposed technologies or via collaboration with the BICCN.

This funding opportunity announcement, in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative aims to pilot classification strategies to generate a systematic inventory/cell census of cell types in the brain. Pilot projects are sought that would 1) provide cell census data in the whole brain, a brain region, or a significant functional circuit in the vertebrate nervous system; 2) integrate molecular identity of cell types with connectivity, morphology, and location; 3) apply statistical methods for creating a taxonomy of cell types based on molecular identity and connectivity; 4) provide realistic estimates on the number/percentage of defined cell types in specific region(s) and/or circuit(s); and 5) provide a basis to map cell types based on molecular identity and connectivity onto a reference brain atlas. These pilot projects and methodologies should be designed to demonstrate their utility and scalability to ultimately complete a comprehensive cell census of the human brain in the future.

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.

The purpose of this Funding Opportunity Announcement [FOA] submitted through the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to stimulate the development and validation of novel tools and analytical methods to target, identify and characterize non-neuronal cells in the brain. This FOA complements previous and ongoing cell-census and tool development efforts initiated under BRAIN, RFA-MH-14-215 and RFA-MH-14-216, that have focused almost exclusively on neuronal cells. The cutting-edge tools and methods developed under this opportunity should focus specifically on providing improved points of entry into non-neuronal cell-types (glial and vascular) to enable their inventory and characterization within the CNS and help define how these cells interact among each other and with neuronal cells to impact functional circuitries. Plans for validating the utility of the tool/technology/method and demonstrating its advantage over currently available approaches will be an essential feature of a successful application. Tools that can be used in several species or model organisms rather than in a single species are especially desirable.

The goal of this FOA is to establish functional genotype-phenotype relationships of genetic variants, suspected of altering the risk of Alzheimer's disease (AD), in neural cells using human induced pluripotent stem cells or other human cell reprogramming approaches. The causal linkage of AD-associated genetic variants identified in genome-wide association studies and genome sequencing studies to molecular and biological cell phenotypes in human neural cells is expected to give greater insight into molecular targets contributing to the etiology of AD. Studies of human genetics in human cells are essential to understanding the etiology of AD.

This Funding Opportunity Announcement (FOA) intends to accelerate the use of scalable technologies and tools to enhance brain cell census research, including the development of technology platforms and/or resources and the generation of spatiotemporal cell census data and/or resources. Applications are expected to address limitations and gaps of existing technologies/tools as a benchmark against which the improvements or competitive advantages of the proposed ones will be measured. The improvements include throughput, sensitivity, selectivity, scalability, spatiotemporal resolution and reproducibility in cell atlas analyses. The projects funded under this FOA will align with the overarching goals of the BRAIN Initiative Cell Census Network (BICCN) and are expected to enable the generation of a large amount of cell census data using the proposed technologies or via collaboration with the BICCN.

Reissue of RFA-NS-15-009. This Funding Opportunity Announcement (FOA) invites applications to support the National Institute of Neurological Disorders and Stroke (NINDS) Human Cell and Data Repository (NHCDR). The repository will maintain the current collection of fibroblast and induced pluripotent stem cell (iPSC) lines as well as develop, characterize, expand source cells and iPSCs, and where appropriate, genetically modify new high-quality iPSC lines accordance with the NINDS mission. The NINDS Human Cell and Data Repository will distribute human cell resources broadly to qualified academic and industry researchers to advance basic and translational research in neurological disorders.

This Funding Opportunity Announcement (FOA) intends to assemble a group of Comprehensive Centers that will adopt scalable technology platforms and streamlined workflows to generate a comprehensive 3D brain cell reference atlas encompassing molecular, anatomical, and physiological annotations of brain cell types in mouse, and incorporate additional genetic and other advanced cell-specific targeting approaches and tools to facilitate this goal. A central goal of this and the three companion FOAs is to build a brain cell census resource that can be widely used throughout the research community.

The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. The new tools and technologies should inform and/or exploit cell-type and/or circuit-level specificity. Plans for validating the utility of the tool/technology will be an essential feature of a successful application. The development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest or approaches that are expected to target specific cell types and/or circuits in the nervous system with greater precision and sensitivity than currently established methods are encouraged. Tools that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged.

The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. The new tools and technologies should inform and/or exploit cell-type and/or circuit-level specificity. Plans for validating the utility of the tool/technology will be an essential feature of a successful application. The development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest or approaches that are expected to target specific cell types and/or circuits in the nervous system with greater precision and sensitivity than currently established methods are encouraged. Tools that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged.

Established in 2005, the New York Stem Cell Foundation is dedicated to curing major contemporary diseases through stem cell research. In addition to performing and conducting original research, the foundation acts as an international hub for thinkers, laboratories, and institutions working to maximize impact for actual patients. With the goal of supporting innovative scientists who have the potential to transform fundamental understanding of the brain, the foundation is accepting applications for its Neuroscience Investigator Awards. Applications are encouraged in the areas of developmental, cellular, cognitive, and translational neuroscience, broadly interpreted. Applicants need not be working in areas related to stem cells.

This Funding Opportunity Announcement (FOA) intends to support pilot studies aimed to establish molecular, anatomical, and functional cell and circuit census data from selected brain regions of young and old C57BL/6J mice. This will complement and build on current BRAIN Initiative efforts while informing a design for a comprehensive characterization of cells and circuits in the brain across the lifespan, including the generation of a comprehensive 3D brain cell reference atlas of the aging mouse brain.

The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. The new tools and technologies should confer a high degree of cell-type and/or circuit-level specificity. Validation of the utility of the tool/technology is an essential feature. A particular emphasis for this funding opportunity announcement (FOA) is the development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest; new approaches are also expected to target specific cell types and or circuits in the nervous system with greater precision and sensitivity than currently established methods. Tools developed through this initiative that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are also encouraged.

This Funding Opportunity Announcement (FOA) intends to support a group of Specialized Collaboratories that will adopt scalable technology platforms and streamlined workflows to accelerate progress towards establishing comprehensive molecular and anatomical reference cell atlases of human brain and/or non-human primate brains. A central goal of this FOA is to build a brain cell census resource that can be widely used throughout the research community.

The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. The new tools and technologies should inform and/or exploit cell-type and/or circuit-level specificity. Plans for validating the utility of the tool/technology will be an essential feature of a successful application. The development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest or approaches that are expected to target specific cell types and/or circuits in the nervous system with greater precision and sensitivity than currently established methods are encouraged. Tools that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged.

The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate novel tools to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. The new tools and technologies should inform and/or exploit cell-type and/or circuit-level specificity. Plans for validating the utility of the tool/technology will be an essential feature of a successful application. The development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest or approaches that are expected to target specific cell types and/or circuits in the nervous system with greater precision and sensitivity than currently established methods are encouraged. Tools that can be used in a number of species/model organisms rather than those restricted to a single species are highly desired. Applications that provide approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged.

This funding opportunity announcement aims to support research that employs innovative scalable technologies to inventory, register and profile the cellular ensembles and/or cell-types that produce and/or respond to opioids. Emphasis is on approaches that enable high-throughput single-cell resolution mapping, anatomical characterization and/or molecular profiling of cells identified as primary sources of, or pharmacological targets of, opioids in the brain and/or whose changes in activity associate with opioid-related behaviors in rodents.

This Funding Opportunity Announcement (FOA) intends to assemble a group of Specialized Collaboratories that will adopt scalable technology platforms and streamlined workflows to accelerate progress towards establishing reference cell atlases of human brain and/or non-human primate brains. A central goal of this and the three companion FOAs is to build a brain cell census resource that can be widely used throughout the research community.

Biophotonics applies photonics technology to the fields of medicine, biology and biotechnology.  Basic research and innovation in photonics that is very fundamental in science and engineering is needed to lay the foundation for new technologies beyond those that are mature and ready for application in medical diagnostics and therapies.  Advances are needed in nanophotonics, optogenetics, contrast and targeting agents, ultra-thin probes, wide field imaging, and rapid biomarker screening.  Low cost and minimally invasive medical diagnostics and therapies are key goals. Examples of topics are: Macromolecule Markers - Innovative methods for labeling of macromolecules, new compositions of matter/methods of fabrication of multi-color probes such as might be used for marking and detection of specific pathological cells and push the envelope of optical sensing to the limits of detection, resolution, and identification Low Coherence Sensing at the Nanoscale - Low coherence enhanced backscattering (LEBS), n-dimensional elastic light scattering, and angle-resolved low coherence interferometry for early cancer detection (dysplasia) Neurophotonics - Studies of photon activation of neurons at the interface of nanomaterials attached to cells.  Development and application of biocompatible photonic tools such as parallel interfaces and interconnects for communicating and control of neural networks Micro- and Nano-photonic - Development and application of nanoparticle fluorescent quantum-dots; sensitive, multiplexed, high-throughput characterization of macromolecular properties of cells; nanomaterials and nanodevices for biomedicine Optogenetics - Employing light-activated channels and enzymes for manipulation of neural activity with temporal precision. 

Biophotonics applies photonics technology to the fields of medicine, biology and biotechnology.  Basic research and innovation in photonics that is very fundamental in science and engineering is needed to lay the foundation for new technologies beyond those that are mature and ready for application in medical diagnostics and therapies.  Advances are needed in nanophotonics, optogenetics, contrast and targeting agents, ultra-thin probes, wide field imaging, and rapid biomarker screening.  Low cost and minimally invasive medical diagnostics and therapies are key goals. Examples of topics are: Macromolecule Markers - Innovative methods for labeling of macromolecules, new compositions of matter/methods of fabrication of multi-color probes such as might be used for marking and detection of specific pathological cells and push the envelope of optical sensing to the limits of detection, resolution, and identification Low Coherence Sensing at the Nanoscale - Low coherence enhanced backscattering (LEBS), n-dimensional elastic light scattering, and angle-resolved low coherence interferometry for early cancer detection (dysplasia) Neurophotonics - Studies of photon activation of neurons at the interface of nanomaterials attached to cells.  Development and application of biocompatible photonic tools such as parallel interfaces and interconnects for communicating and control of neural networks Micro- and Nano-photonic - Development and application of nanoparticle fluorescent quantum-dots; sensitive, multiplexed, high-throughput characterization of macromolecular properties of cells; nanomaterials and nanodevices for biomedicine Optogenetics - Employing light-activated channels and enzymes for manipulation of neural activity with temporal precision.