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中文摘要
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描述(由申请人提供):该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度准确地识别包含数百万个随机编码微粒的集合,并使用全基因组拷贝数分析作为模型系统验证该系统。作为该项目的成果,我们预计在定量分子生物学和医学方面将取得巨大进步,因为它将使核分子和基因相关疾病的遗传标记的真正绝对测量独立于实验设计,化学,假设等,随后的数据将被标准化,并将在不同的实验,测试或临床试验之间进行比较。此外,通过广泛的全民测试/测量,将积累国家数据库。最后,仅基于这样的数据,将有可能建立用于基于基因的病症的分子诊断的核酸种类的标准和病理学范围、截止标准或阈值水平,并且从而实际上建立分子诊断领域。
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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