Multi-modal spatial genomics in the mouse and human brains
Multi-modal spatial genomics in the mouse and human brains
批准号:
10760921
负责人:
Kirsten Frieda
金额:
$133.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-15 至 2025-05-31
关键词:
3-DimensionalAntibodiesBiological AssayBrainBrain MappingCellsChromatinComputer softwareDNADNA IntegrationDNA ProbesDataData SetDevicesEnvironmentEpigenetic ProcessFluorescenceFluorescent in Situ HybridizationGene ExpressionGene OrderGene TargetingGenesGenetic TranscriptionGenomicsGoalsHumanImageImmunofluorescence ImmunologicIn SituIntronsMapsMarketingMeasurementMessenger RNAMethodsModalityModelingMolecularMolecular ConformationMorphologyMusNeurogliaNeuronsPathway interactionsPatternPopulationProcessProteinsRNARNA DegradationRNA markerReagentResearch PersonnelResistanceResolutionSamplingSignal TransductionSliceStainsSystemTechnologyTimeTissuesTranslational Researchbrain tissuecell typecommercializationempowermentepigenomeexperienceexperimental studyimaging platforminstrumentmultimodalitymultiple omicsneuronal circuitrynovelpreservationprotein biomarkerssingle cell sequencingtargeted imagingtooltranscriptome
中文摘要
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
基因组学方法有潜力识别新型细胞类型,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。
英文摘要
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.
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