Decoding chromosome structure with multiplexed super-resolution microscopy

用多重超分辨率显微镜解码染色体结构

基本信息

  • 批准号:
    9762943
  • 负责人:
  • 金额:
    $ 54.67万
  • 依托单位:
  • 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 2022-06-30
  • 项目状态:
    已结题

项目摘要

Summary Decades of study have revealed that genome organization is non-random and critically impacts many nuclear processes including the regulation of transcription, DNA replication, and DNA repair, and increasing evidence suggests that the three-dimensional structures adopted by chromosomes are critical for development and are often perturbed in disease. Much of our current understanding comes from biochemical techniques performed on large populations of cells, leading to many gaps in our understanding of the mechanisms that establish and maintain organizational states, particularly in the context of individual cells. We propose to introduce a new set of single-cell technologies based on the single-molecule super-resolution imaging method DNA-PAINT to bridge this gap with a suite of tools possessing both high multiplexibility and spatial resolution. Specifically, in Aim 1 we will develop a multiplexed (>20 color) super-resolution chromosomal imaging strategy to image genomic targets ranging from kilobases to multiple megabases in Iength, which will enable us to investigate the folding properties of the chromatin fiber in single cells over a range of length-scales. In Aim 2, we will develop multiplexed assays to co-localize proteins, RNA molecules, and specific genomic sites in individual cells at the nanoscale. We will then investigate organization of architectural proteins at a model hub of large chromatin loops on the human inactive X-chromosome. In Aim 3, we will develop a proximity-dependent super-resolution method to probe specific interactions between protein and DNA targets that will allow for the sensitive detection of molecular interactions in crowded environments. We will deploy this technology to query the composition and epigenetic states of the aforementioned chromatin looping hub in individual cells. Collectively, our methods will make many questions about the positioning, composition, and epigenetic states of specific genomic loci in individual cells accessible to researchers for the first time, and promise to impact diverse fields beyond chromosome biology.
总结

项目成果

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Peng Yin其他文献

Peng Yin的其他文献

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{{ truncateString('Peng Yin', 18)}}的其他基金

Highly multiplexed tissue imaging with high-plex in situ signal amplification
具有高复数原位信号放大功能的高度复用组织成像
  • 批准号:
    10718666
  • 财政年份:
    2023
  • 资助金额:
    $ 54.67万
  • 项目类别:
Light-Seq: Spatially targeted profiling of transcriptomic states in cells and tissue
Light-Seq:细胞和组织转录组状态的空间靶向分析
  • 批准号:
    10633918
  • 财政年份:
    2023
  • 资助金额:
    $ 54.67万
  • 项目类别:
Thermal-plex: fluidic-free, rapid sequential multiplexed imaging of RNA and protein in brain tissues
Thermal-plex:脑组织中 RNA 和蛋白质的无流体快速连续多重成像
  • 批准号:
    10640313
  • 财政年份:
    2023
  • 资助金额:
    $ 54.67万
  • 项目类别:
Decoding chromosome structure with multiplexed super-resolution microscopy
用多重超分辨率显微镜解码染色体结构
  • 批准号:
    10226100
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
High-throughput single-molecule protein identification via super-resolution imaging
通过超分辨率成像进行高通量单分子蛋白质鉴定
  • 批准号:
    9980953
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
High-throughput single-molecule protein identification via super-resolution imaging
通过超分辨率成像进行高通量单分子蛋白质鉴定
  • 批准号:
    10242097
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human Tissues
人体组织的高通量、高度多重原位蛋白质组成像
  • 批准号:
    10215448
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
High-throughput single-molecule protein identification via super-resolution imaging
通过超分辨率成像进行高通量单分子蛋白质鉴定
  • 批准号:
    10478283
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human Tissues
人体组织的高通量、高度多重原位蛋白质组成像
  • 批准号:
    10026444
  • 财政年份:
    2018
  • 资助金额:
    $ 54.67万
  • 项目类别:
Super-resolution imaging via programmable autonomous blinking
通过可编程自主闪烁进行超分辨率成像
  • 批准号:
    9133898
  • 财政年份:
    2013
  • 资助金额:
    $ 54.67万
  • 项目类别:

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