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中文摘要
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描述(由申请人提供):本项目的主要目标是开发基于单光子光谱仪的高通量数据采集系统,该系统能够检测和高精度识别包含数百万随机编码的微粒的集合,并以全基因组拷贝数分析作为模型系统对该系统进行验证。作为该项目的成果,我们期待着定量分子生物学和医学的巨大进步,因为它将使对与基因相关的疾病的核分子和遗传标记的真正绝对测量成为可能,而不受实验设计、化学、假设等的影响。随后的数据将被标准化,并将在不同地点进行的不同实验、测试或临床试验之间具有可比性。此外,由于广泛的全人口测试/测量,将积累国家数据库。最后,只有基于这样的数据,才有可能为基于基因的疾病的分子诊断建立核物种的正常和病理范围、截止标准或阈值水平,从而实际建立分子诊断领域。
英文摘要
DESCRIPTION (provided by applicant): The main goal of this project is a development of the high throughput data acquisition system based on single photon spectrometer which enables detection and highly accurate recognition of sets containing millions of stochastically encoded microparticles and the validation of this system using genome-wide copy number analysis as a model system. As an outcome of this project, we expect dramatic advancement in quantitative molecular biology and medicine, because it will enable true absolute measurements of nucleic molecules and genetic markers of gene-related diseases independent of experimental designs, chemistries, assumptions, etc. The ensuing data will be standardized, and will become comparable between different experiments, tests, or clinical trials conducted at various sites. Moreover, national databases will be accumulated as a result of extensive population-wide tests/measurements. Finally, based only on such data it will become possible to establish norm and pathology ranges, cut-off criteria or threshold levels of the nucleic species for molecular diagnosis of gene-based disorders, and, thereby, to actually establish the field of molecular diagnostics.
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Universal, high-throughput platform for multi-omic analysis of tissue samples with single-cell spatial resolution
  • 批准号:
    10081014
  • 项目类别:
  • 资助金额:
    $40.0万
  • 财政年份:
    2020
  • 负责人:
    Boris Gorbovitski
  • 依托单位:
Data acquisition system for multiplex analysis of color encoded particles
Data acquisition system for multiplex analysis of color encoded particles
Data acquisition system for multiplex analysis of color encoded particles
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