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中文摘要
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摘要 我们将开发一个新的空间组学平台Light-Seq,用于完整生物样本的空间索引 在固定的细胞和组织中进行光引导DNA条码编码,然后进行非原位测序。我们的光导系统 条形码策略将使用户指导的、原位选择稀有的、不相交的细胞群体成为可能 基于形态、位置或蛋白质表达而不解离的转录组测序。我们会 开发Light-Seq作为能够提取转录信息的空间基因组DNA条码平台 来自单个单元格,可扩展以唯一地寻址数千个用户定义的区域,并可应用于 用于直接应用于人体健康的固定和FFPE临床样本。我们设想Light-Seq平台 将是一种可扩展、经济高效且灵活的空间转录方法,允许用户定义 用于NGS测序的组织中的空间区域。因此,Light-Seq可以作为一个低门槛的进入平台 空间转录对许多病理学家和研究人员来说,这将是更广泛采用的关键驱动因素 空间转录工具。
英文摘要
Summary We will develop a new spatial-omics platform, Light-Seq, for spatial indexing of intact biological samples using light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Our light-directed barcoding strategy will enable user-directed, in situ selection of rare, disjoint cell populations for full- transcriptome sequencing based on morphology, location, or protein expression without dissociation. We will develop Light-Seq as a spatial-omic DNA barcoding platform capable of extracting the transcriptomic information from single-cells, scalable to uniquely address thousands of user-defined regions, and can be applied in both fixed and FFPE clinical samples for direct applications in human health. We envision that the Light-Seq platform will be a scalable, cost-effective, and flexible approach to spatial transcriptomics that allows the user to define spatial regions in tissue for NGS sequencing. Light-seq can thus serve as a low barrier-to-entry platform for spatial transcriptomics for many pathologists and researchers, and would be a key driver for a wider adoption of spatial transcriptomic tools.
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Highly multiplexed tissue imaging with high-plex in situ signal amplification
  • 批准号:
    10718666
  • 项目类别:
  • 资助金额:
    $42.0万
  • 财政年份:
    2023
  • 负责人:
    Peng Yin
  • 依托单位:
Thermal-plex: fluidic-free, rapid sequential multiplexed imaging of RNA and protein in brain tissues
  • 批准号:
    10640313
  • 项目类别:
  • 资助金额:
    $249.07万
  • 财政年份:
    2023
  • 负责人:
    Peng Yin
  • 依托单位:
Decoding chromosome structure with multiplexed super-resolution microscopy
  • 批准号:
    10226100
  • 项目类别:
  • 资助金额:
    $54.67万
  • 财政年份:
    2018
  • 负责人:
    Peng Yin
  • 依托单位:
High-throughput single-molecule protein identification via super-resolution imaging
  • 批准号:
    9980953
  • 项目类别:
  • 资助金额:
    $131.95万
  • 财政年份:
    2018
  • 负责人:
    Peng Yin
  • 依托单位:
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