Detecting the onset of genome heterogeneity in tumor at single cell resolution
Detecting the onset of genome heterogeneity in tumor at single cell resolution
批准号:
8754910
负责人:
Chenghang Zong
金额:
$237.45万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-30 至 2019-06-30
关键词:
Basic ScienceCellsClinicalComplexDetectionDevelopmentEarly InterventionEvolutionGenomeGenomicsGoalsHeterogeneityMalignant NeoplasmsMethodsMicroscopicNeoplasmsNucleotidesResearchResolutionSamplingSchemeSolidTechnologyTissuesVariantclinical practicegenome sequencingmethod developmentpublic health relevancesuccesstherapeutic developmenttumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): With the emerging evidence of complex tumor heterogeneity, it is critical for us to profile and understand the complex evolution in tumor development. To do so, we desire to characterize the genome heterogeneity and complex evolution at microscopic resolution. Here we propose an exact linear amplification scheme for single cell whole-genome amplification, which will allow us to detect single nucleotide variations (SNVs) with the high accuracy comparable to the bulk sequencing. With this cutting-edge method development, we will be able to profile tumor heterogeneity at single cell resolution with unprecedented accuracy of SNV detection. Our immediate goal in this proposal is to apply this method to discover the onset of heterogeneity at low-grade of neoplasm and the sequential development of genome heterogeneity at the following higher grades of neoplasm. Overall, our goal is to develop a suite of highly promising single cell analytical technologies to gain an understanding of genomic variations in solid cancers. Success of the project will result in an integrated platform that will serve to overcome prevailing impediments in studying clinical samples. The research is expected to have a broad impact on basic research, clinical practice, and the development of therapeutic treatments for early intervention.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Single-cell Damagenome Profiling by Linear Copying and Splitting based Whole Genome Amplification (LCS-WGA)
基于线性复制和分裂的全基因组扩增 (LCS-WGA) 进行单细胞损伤组分析
DOI:
10.21769/bioprotoc.4357
发表时间:
2022
期刊:
BIO-PROTOCOL
影响因子:
0.8
作者:
[Niu, Yichi, Zhu, Qiangyuan, Zong, Chenghang]
通讯作者:
Zong, Chenghang
DOI:
10.1126/sciadv.abf3329
发表时间:
2021-07
期刊:
Science Advances
影响因子:
13.6
作者:
[Qiangyuan Zhu;Yichi Niu;Michael C. Gundry;Chenghang Zong]
通讯作者:
Qiangyuan Zhu;Yichi Niu;Michael C. Gundry;Chenghang Zong
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
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批准号:10662693
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项目类别:
-
资助金额:$39.78万
-
财政年份:2023
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负责人:Chenghang Zong
-
依托单位:
国内基金
海外基金
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