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Multi-modal spatial genomics in the mouse and human brains

小鼠和人脑的多模式空间基因组学

基本信息

批准号：
10760921
负责人：
Kirsten Frieda
金额：
$ 133.8万
依托单位：
SPATIAL GENOMICS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-06-15 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10760921
关键词：
3-Dimensional Antibodies Biological Assay Brain Brain Mapping Cells Chromatin Computer software DNA DNA Integration DNA Probes Data Data Set Devices Environment Epigenetic Process Fluorescence Fluorescent in Situ Hybridization Gene Expression Gene Order Gene Targeting Genes Genetic Transcription Genomics Goals Human Image Immunofluorescence Immunologic In Situ Introns Maps Marketing Measurement Messenger RNA Methods Modality Modeling Molecular Molecular Conformation Morphology Mus Neuroglia Neurons Pathway interactions Pattern Population Process Proteins RNA RNA Degradation RNA marker Reagent Research Personnel Resistance Resolution Sampling Signal Transduction Slice Stains System Technology Time Tissues Translational Research brain tissue cell type commercialization empowerment epigenome experience experimental study imaging platform instrument multimodality multiple omics neuronal circuitry novel preservation protein biomarkers single cell sequencing targeted imaging tool transcriptome

项目摘要

SUMMARY The major goal of this project is to build upon our existing expertise and platform to develop spatial multi-omics tools in human brains. At Spatial Genomics, we are commercializing the sequential fluorescence in situ hybridization (seqFISH) technology (Eng et al, 2019) that allows thousands of genes to be imaged directly in brain samples. We have developed extensive experience working with mouse and human brains with our seqFISH technology. Spatial genomics methods have the potential to identify novel cell types, reveal spatial organization of groups of cells and subcellular patterns, and elucidate signaling interactions between neighboring cells in the brain. Identifying the spatial organization of the human brain at cellular resolution from single cell gene expression profiles is essential to understanding neuronal circuits and interactions between neurons and glia.

总结这个项目的主要目标是建立在我们现有的专业知识和平台，人类大脑中的空间多组学工具。在Spatial Genomics，我们正在将连续荧光原位杂交（seqFISH）技术（Eng et al，2019），允许数以千计的基因直接在大脑样本中成像。我们开发了广泛的使用我们的seqFISH技术处理小鼠和人类大脑的经验。空间基因组学方法有可能识别新的细胞类型，揭示细胞的空间组织，细胞群和亚细胞模式，并阐明信号之间的相互作用邻近的脑细胞。在细胞中识别人脑的空间组织从单细胞基因表达谱的分辨率是理解神经元的关键神经元和神经胶质之间的回路和相互作用。