Cooperative Agreements

Tracing Brain Circuits by Transneuronal Control of Transcription

 DESCRIPTION (provided by applicant): Understanding the computations that take place in brain circuits will require identifying the wiring diagrams of those circuits. In recent years seveal new methods have been developed to identify the brain's wiring diagrams. Each of these methods have some strengths and limitations. Importantly, there is no available anterograde monosynaptic tracer that can be used to regulate gene expression of synaptically connected neurons in species ranging from drosophila to mice.

Developing drivers for neuron type-specific gene expression

 DESCRIPTION (provided by applicant): Driver lines that direct Cre protein to specific neuron types have proven to be invaluable tools to not only visualize specific neuron types but also to manipulate their activity through the Cre- mediated activation of optogenetic probes or to assess gene function by Cre-mediated gene knockout. Most Cre driver lines, such as BAC-based Cre drivers or knock-ins of Cre into specific loci, monitor the complete expression pattern of entire genetic loci.

Remote regulation of neural activity

 DESCRIPTION (provided by applicant): A fundamental goal of neuroscience is to understand the function(s) of defined neural populations in a complex organism. We propose to develop and validate a technology for non- invasive modulation of neural activity in vivo. There has been huge progress in developing tools for temporal regulation of neural activity. These techniques, from light activated channels to designer receptors, enable modulation of defined neural populations in vivo to examine their roles in many physiological functions. But current technologies have their limitations.

Identification of enhancers whose activity defines cortical interneuron types

 DESCRIPTION (provided by applicant): Molecular definitions of neural cell types largely depend on the expression of RNAs or proteins as assessed by in situ hybridization, RNA array and sequencing, and immunohistochemistry. However, recent studies are demonstrating that gene regulatory elements, such as enhancers, can have highly specific spatial and temporal activity patterns in the developing brain. Thus, enhancer activity can be used to define neural cell types, and importantly, also have other broad applications.

Combining genetics, genomics, and anatomy to classify cell types across mammals

 DESCRIPTION (provided by applicant): Recent genetic advances have driven significant progress in scientists' abilities to classify and map neuronal cell types within the brains of mode organisms like laboratory mice. To better delineate neuronal cell types in the human brain, however, it is critical to have a deeper understanding of the way that neuronal cell types evolve across mammals. As a first step toward achieving this understanding, corresponding neuronal cell types will be directly compared in two closely related mammalian species: mice and rats.

Comprehensive Classification Of Neuronal Subtypes By Single Cell Transcriptomics

 DESCRIPTION (provided by applicant): To understand the brain, we need a "parts list" of its cell types. The list will need to integrate molecular, functional and morphological data, but of these, molecular classification is best suited for comprehensive categorization and the only approach that can lead directly to genetically accessing the types; such access is essential in order to mark and manipulate neurons and to allow rigorous comparison of neurons from normal and diseased brains.

Ultra-Multiplexed Nanoscale In Situ Proteomics for Understanding Synapse Types

 DESCRIPTION (provided by applicant): Significant work is ongoing to reveal how different cell types in the brain contribute to behavior and pathology, and how they change in plasticity and disease, empowered by new genetic, optical, and physiological tools. However, the functional activity and dysregulation of neuronal circuits relies critically on the in situ molecular composition of neuronal synapses.

Towards quantitative cell type-based mapping of the whole mouse brain

 DESCRIPTION (provided by applicant): The mouse brain comprises ~70 million neurons and ~30 million glia and other cells. Neurons have been traditionally classified based on their morphology, connectivity, stimulus-response, gene expression, and location in the brain. While we know reasonably well the main cell types that are present at different brain locations, we have little quantitative knowledge about brainwide cell type distribution.

Mapping the Developing Human Neocortex by Massively Parallel Single Cell Analysis

 DESCRIPTION (provided by applicant): This proposal seeks to create a single cell resolution map of the developing human neocortex. We propose to determine the number of different subtypes of neural stem and progenitor cells that generate the cerebral cortex, and then follow the developmental trajectories of the newborn neurons they produce to obtain an understanding of the diversity of cortical neurons that will ultimately form the adult cortex.

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