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Cell atlas of mouse brain-spinal cord connectome

小鼠脑脊髓连接组细胞图谱

基本信息

批准号：
9768566
负责人：
Hong-Wei Dong
金额：
$ 233.69万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9768566
关键词：
3-Dimensional Anatomy Atlases Axon BRAIN initiative Bar Codes Base of the Brain Biological Assay Brain Brain region Candidate Disease Gene Catalogs Cell Separation Cells Censuses Chemicals Communities Computer software Data Databases Electrophysiology (science)Gene Expression Gene Expression Profile Genes Goals Image Image Analysis In Situ Informatics Knowledge Label Laboratories Light Maps Methods Microscopy Molecular Molecular Genetics Molecular Profiling Morphology Mus Names Neurons Neurosciences Online Systems Output Pathway interactions Pattern Preparation Process Property Research Resources Scanning Slice Source Spinal Spinal Cord Structure Techniques Technology Three-Dimensional Imaging Tracer Viral base brain cell candidate marker cell type collaboratory combinatorial connectome data portal experimental study in vivo innovation interdisciplinary approach molecular marker multimodality online resource open data open source optogenetics patch clamp response single cell sequencing spinal cord imaging transcriptome transcriptome sequencing transcriptomics

项目摘要

PROJECT SUMMARY Although great efforts have been dedicated to characterizing neuronal cell types in the brain, systematic studies on the brain-spinal cord connectome and associated spinal neuronal types are lacking. In this project, a team of seven laboratories proposes to use a highly innovative and multidisciplinary approach to systematically characterize neuronal types in the spinal cord based on their anatomy, connectivity, neuronal morphologies, molecular identities, and electrophysiological properties. In Aim 1, we will use a newly developed AAV anterograde transsynaptic tagging method to label spinal cord neurons that receive descending inputs from different brain regions, and use a retrograde viral tracer, AAVretro, to label spinal neurons that project to defined brain regions. These tagged neurons will be imaged in the intact whole spinal cord with a newly developed fast 3D light sheet microscopy technique, and targeted for recording in slice preparations. The axonal collateral patterns, dendritic morphologies, and electrophysiological properties will be compared between different input/output-defined spinal neuron groups. In Aim 2, the gene expression patterns of the tagged neurons will be determined in situ by sequential bar-coded FISH (seqFISH), with candidate marker genes obtained from online resources, or from single-cell sorting and RNA sequencing (Dropseq). In Aim 3, all collected data on connectivity, anatomical cell type distribution map, neuronal morphologies, molecular identities, and electrophysiological properties will be used for classifying spinal neuron types connected with brain, and an open-source data portal will be established which will allow users to search, view, and analyze the multi-modal and integrative cell-type specific data. Together, we aim to construct a comprehensive cell- type atlas of the mouse brain-spinal cord connectome.

项目总结