Spatiotemporal epigenomic and chromosomal architectural cell atlas of developing human brains

人类大脑发育的时空表观基因组和染色体结构细胞图谱

基本信息

  • 批准号:
    10689124
  • 负责人:
  • 金额:
    $ 80.81万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2027-06-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY The adult human brain is comprised of numerous cell types exhibiting specific transcriptomic and epigenomic signatures associated with their spatial location, connectivity, and function. Although systematic efforts are underway to characterize cell types in the adult human brain, the transitional cell types and cell states in developing human brains are not fully defined. Our project will use epigenomic and three-dimensional (3D) chromosomal architectural information to classify developmental cell types and identify key regulatory dynamics that may underlie cellular lineage commitment and maturation. Single-cell DNA methylation and chromatin accessibility profiles have been successfully used to de novo identify distinct cell types in developing and adult brains. The single-nucleus joint profiling of DNA methylation and chromatin conformation by sn-m3C-seq provides unique information to identify enhancer-gene looping and provides a resource to link genetic variants associated with neuropsychiatric disorders to genes. Cell types identified with epigenomic information will be integrated with spatial transcriptomic signatures using our innovative single-cell joint profiling method of transcriptome and DNA methylation snmCT-seq. We will determine the spatial and temporal dynamics of developing brain cell types using multiplexed RNA in situ and Digital Spatial Profiling (DSP) assays. We will apply state-of-the-art approaches to integrate multiple data modalities to identify progenitor and transitional cell types, lineage-specific regulatory elements, and enhancer-gene 3D interactions. We will construct cell-type- specific predictive models of cellular trajectory and gene regulation during brain development by integrating transcription factor-gene interaction information with time- and pseudotime-series genomics data. The cell type and regulatory elements catalog of human brain development generated by our project will aid the identification of developing brain cell types involved in neuropsychiatric disorders and regulatory regions susceptible to perturbation by disease-associated variants.
项目总结

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Chongyuan Luo其他文献

Chongyuan Luo的其他文献

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{{ truncateString('Chongyuan Luo', 18)}}的其他基金

Spatiotemporal epigenomic and chromosomal architectural cell atlas of developing human brains
人类大脑发育的时空表观基因组和染色体结构细胞图谱
  • 批准号:
    10523974
  • 财政年份:
    2022
  • 资助金额:
    $ 80.81万
  • 项目类别:
In situ Single-Cell Multi-Omic and Morphological Profiling in Mammalian Brains
哺乳动物大脑的原位单细胞多组学和形态学分析
  • 批准号:
    10506297
  • 财政年份:
    2022
  • 资助金额:
    $ 80.81万
  • 项目类别:
SINGLE-CELL MULTI-OMIC APPROACHES TO MECHANISTICALLY CHARACTERIZE PSYCHIATRIC DISORDER RISK LOCI IN THE HUMAN BRAIN
单细胞多组学方法对人脑中精神疾病风险位点进行机械表征
  • 批准号:
    10582712
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:
Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency
利用遗传变异剖析重编程为多能性的基因调控网络
  • 批准号:
    10473738
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:
SINGLE-CELL MULTI-OMIC APPROACHES TO MECHANISTICALLY CHARACTERIZE PSYCHIATRIC DISORDER RISK LOCI IN THE HUMAN BRAIN
单细胞多组学方法对人脑中精神疾病风险位点进行机械表征
  • 批准号:
    10407453
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:
SINGLE-CELL MULTI-OMIC APPROACHES TO MECHANISTICALLY CHARACTERIZE PSYCHIATRIC DISORDER RISK LOCI IN THE HUMAN BRAIN
单细胞多组学方法对人脑中精神疾病风险位点进行机械表征
  • 批准号:
    10116997
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:
Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency
利用遗传变异剖析重编程为多能性的基因调控网络
  • 批准号:
    10659175
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:
Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency
利用遗传变异剖析重编程为多能性的基因调控网络
  • 批准号:
    10297764
  • 财政年份:
    2021
  • 资助金额:
    $ 80.81万
  • 项目类别:

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