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Develop accurate high-coverage and high-throughput single-cell Duplex-seq chemistry and multi-omics platforms for simultaneous profiling of somatic mutation and the transcriptome in single human cells

Develop accurate high-coverage and high-throughput single-cell Duplex-seq chemistry and multi-omics platforms for simultaneous profiling of somatic mutation and the transcriptome in single human cells
开发准确的高覆盖率和高通量单细胞 Duplex-seq 化学和多组学平台,用于同时分析单个人类细胞中的体细胞突变和转录组
批准号:
10662693
负责人:
Chenghang Zong
金额:
$39.78万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-15 至 2025-03-31

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中文摘要
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英文摘要
SUMMARY Here in this UG3/UH3 proposal, we aim to develop a new single-cell whole-genome amplification chemistry that allows high-accuracy and high-coverage detection of somatic mutations in single cells and the dual-omics assay that combines the high-accuracy and high-coverage genome profiling assay with the single-cell transcriptome assay (UG3). And in the UH3, we aim to scale up the throughput of the scDuplex-seq assay and the related dual-omics assay on the picoinjection-based droplet platform and validate this platform for different tissue types that are going to be profiled for somatic mosaicism by SMaTH program at the large scale. Understanding the heterogeneity of the blueprint of life at single-cell resolution is critical for our understanding of many fundamental biological processes such as aging and human diseases such as cancer and neurodegeneration. Hence, the successful development of the proposed single-cell method is important for reaching the goals of profiling somatic mosaicism set by the SMaHT program considering that somatic mutations, to our knowledge, are the most frequently occurred type of somatic variants. With the successful method development, we can determine the overall somatic mutation burdens in single cells and the variations among them. Going beyond characterizing the levels of somatic mutations, we can also effectively construct a lineage tree for all the sequenced single cells. And we expect that there will be phenotypic differences between different branches of the lineage tree, which correspond to different clones in our body, as recently observed in the regional dissection-based studies. Upon identifying the different branches/clones, we can characterize those phenotypic differences between them. The proposed dual-omics assay will provide the exact tool for this characterization. In terms of our major strategy in developing an accurate high-coverage genome profiling method, we will apply specialized transposition chemistry to genomic DNA, which results in duplex-DNA with very uniform fragment size, maximizing the recovery of these fragments in the downstream chemistry. Our major technical specialty in scaling up the throughput is the picoinjection droplet system that essentially allows the implementation of complicated chemistry onto the droplet system. The collaborative experience between Zong lab and Weitz lab has also been proven to be productive in the development of the droplet scTotalRNA-seq. Our ultimate goal of this proposal is to produce a lineage tree with a large number of cells (³1000) with both accurate characterizations of somatic mutations and the transcriptome in single cells, hence providing the proof of concept picture for future large-scale profiling by Genome Characterization Centers of the SMaHT program.
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Detecting the onset of genome heterogeneity in tumor at single cell resolution
  • 批准号:
    8754910
  • 项目类别:
  • 资助金额:
    $237.45万
  • 财政年份:
    2014
  • 负责人:
    Chenghang Zong
  • 依托单位:
海外基金