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中文摘要
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描述(由申请人提供):用于大规模平行单细胞基因表达分析的试剂盒摘要利用下一代测序(NGS)的能力进行单细胞基因表达分析的兴趣最近在学术界获得了动力.尽管测序已经变得更便宜,但是在单细胞水平上测量基因表达谱的能力受到用于从单细胞制备测序文库的技术的限制的极大限制。目前可用的样品制备技术需要昂贵的仪器,并且是蛮力和低通量的。如果单细胞基因表达可以扩展到一次检查数万个细胞和许多基因,那么它将更加强大。这种技术不仅将推进我们在基础生物学和医学方面的知识,而且还具有许多潜在的临床应用。我们最近开发了一种低成本和高分辨率的大规模并行方法,从大量的单细胞中制备测序文库用于基因表达分析。该方法基于随机标记的概念,在单细胞和单分子水平上执行。我们已经成功地进行了约100个基因的表达分析,每个样本接近1000个单细胞常规,并证明了我们的系统分类的异质细胞混合物,如人类血液中的主要细胞类型的能力。我们技术的可扩展性、吞吐量和经济性远远超过现有的商业平台。对于这个拟议的第二阶段项目,我们计划进一步扩展我们的技术,以实现对每个样本10,000个细胞中的数百个基因的常规分析,并将当前的工作原型转换为可出口的产品,其中包括试剂盒,简单的试剂加载设备以及支持分析设计和分析软件。
英文摘要
DESCRIPTION (provided by applicant): A kit for massively parallel single cell gene expression analysis Abstract Interest in single cell gene expression analysis harnessing the capability of next- generation sequencing (NGS) has recently gained momentum in the academic community. Although sequencing has become cheaper, the ability to measure gene expression profile at the single cell level is extremely constrained by the limitation of technolog for preparing sequencing libraries from single cells. Currently available sample preparation techniques require expensive instruments and are brute-force and low-throughput. Single cell gene expression would be much more powerful if it can be scaled to examine tens of thousands of cells at a time and across many genes. Not only will such technology advance our knowledge in basic biology and medicine, it also has many potential clinical applications. We have recently developed a low-cost and high-resolution massively parallel method to prepare sequencing libraries from large number of single cells for gene expression analysis. The method is based on the concept of stochastic labeling, executed at the single cell and the single molecule level. We have successfully conducted expression analysis of ~100 genes of close to 1000 single cells per sample routinely, and have demonstrated the ability of our system to classify major cell types in heterogeneous cell mixtures such as human blood. The scalability, throughput, and economy of our technology far exceed existing commercial platforms. For this proposed Phase II project, we plan to further scale our technology to enable routine analysis of hundreds of genes across 10,000 cells per sample, and to convert the current working prototype into an exportable product that includes a reagent kit, a simple reagent-loading device, and supporting assay design and analysis software.
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A reagent kit for spatial transcriptomic analysis
  • 批准号:
    10592373
  • 项目类别:
  • 资助金额:
    $69.92万
  • 财政年份:
    2022
  • 负责人:
    Christina Fan
  • 依托单位:
A reagent kit for spatial transcriptomic analysis
  • 批准号:
    10480106
  • 项目类别:
  • 资助金额:
    $129.92万
  • 财政年份:
    2022
  • 负责人:
    Christina Fan
  • 依托单位:
海外基金