Visualizing local and global chromatin architecture, and gene expression in the individual cell by structural (SUSHI) and temporal (3D-SMRT) single molecule imaging

通过结构 (SUSHI) 和时间 (3D-SMRT) 单分子成像可视化局部和整体染色质结构以及单个细胞中的基因表达

基本信息

项目摘要

 DESCRIPTION (provided by applicant): Responding to the NIH's 4D Nucleome FOA for Imaging Tools, we propose here two novel imaging methods. When combined, these methods provide nanometer spatial resolution, and millisecond to hour temporal resolution of dynamic chromatin architecture rearrangement and its relation to cell activation and transcription. The first novel technique, termed SUSHI (SUb-zeroº-Stochastic-High-resolution-Imaging platform), enables quantitative, stochastic, single molecule imaging by combining intelligent labeling design with cryogenic fluorescence and emitter control using polarized excitation and depletion. This results in 1-5 nanometer isotropic structural resolution of nuclear chromatin, and the ability to discern DNA elements such as enhancers, suppressors or gene loci that can be mapped and tracked. The second method, termed 3D-SMRT Microscopy (three-dimensional Single-Molecule Real-Time microscopy, manuscript submitted), is an expansion on the recently described MFM (multi-focus microscopy). It provides real-time, simultaneous, multicolor, 30-80 nanometer-resolution tracking in the living cell at a millisecond to hour timescale. By implementing a well thought out labeling strategy, this method also allows for the detection of DNA elements and their nuclear movement in time and space. To be able to analyze hundreds of cells in different activation states, we also describe our streamlined image processing workflows for both SUSHI and 3D-SMRT, permitting the automated analysis of multiple loci of hundreds of single cells and many activation states. We will make the imaging platforms available to all members of the 4D Nucleome consortium by placing the microscopes in a core facility at UMMS, and will share all data processing techniques via code sharing. We focus on the FOS gene locus, as this "immediate-early response" gene has low to no expression of c-Fos mRNA and protein at rest. Upon activation, however, there is a rapid induction of c-Fos, which persists only for a few hours. Heat maps depicting intrachromosomal interaction matrices around the FOS gene indicate extensive looping at this locus. By labeling DNA in a living cell, we can resolve chromatin looping changes around the locus and its surrounding enhancers, determine potential gene locus positional movements toward the nuclear periphery and nuclear pores, and correlate this with mRNA expression and export, both at rest and upon activation. By collaborating with members of the 4D Nucleome consortium, we envision the final stage of this project to include direct correlation with biochemical, structural and genome-wide mapping derived data, thereby shedding light on how genomic information specifies proper execution of spatial and temporal gene expression at rest, upon activation, during cellular development and in diseased states.


项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Simultaneous orientation and 3D localization microscopy with a Vortex point spread function.
  • DOI:
    10.1038/s41467-021-26228-5
  • 发表时间:
    2021-10-11
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Hulleman CN;Thorsen RØ;Kim E;Dekker C;Stallinga S;Rieger B
  • 通讯作者:
    Rieger B
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David Grunwald其他文献

David Grunwald的其他文献

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{{ truncateString('David Grunwald', 18)}}的其他基金

Visualizing local and global chromatin architecture, and gene expression in the individual cell by structural (SUSHI) and temporal (3D-SMRT) single molecule imaging
通过结构 (SUSHI) 和时间 (3D-SMRT) 单分子成像可视化局部和整体染色质结构以及单个细胞中的基因表达
  • 批准号:
    9749351
  • 财政年份:
    2018
  • 资助金额:
    $ 33万
  • 项目类别:
Visualizing local and global chromatin architecture, and gene expression in the individual cell by structural (SUSHI) and temporal (3D-SMRT) single molecule imaging
通过结构 (SUSHI) 和时间 (3D-SMRT) 单分子成像可视化局部和整体染色质结构以及单个细胞中的基因表达
  • 批准号:
    9918495
  • 财政年份:
    2015
  • 资助金额:
    $ 33万
  • 项目类别:

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