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Nanotechnologies for Determining Gene Expression Patterns from Single Cells

Nanotechnologies for Determining Gene Expression Patterns from Single Cells
用于确定单细胞基因表达模式的纳米技术
批准号:
8657227
负责人:
Jason C Reed
金额:
$32.52万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2014-08-31

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中文摘要
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英文摘要
Project Summary All existing global gene expression assay techniques require relatively large quantities of analyte; in order to use them with the minute amount of mRNA present in a few or a single cell, enzymatic amplification is required [5]. This process is time consuming, technically difficult, and expensive. More importantly, the amplification process itself biases the sample in a way that prohibits truly quantitative analysis [6]. This, combined with specific limitations of microarrays and DNA sequencing, results in no straightforward method to study transcription in single cells. To solve this problem we aim to directly identify individual gene transcript molecules (in the form of cDNA) via atomic force microscopy. The Specific Aims of this Proposal are to combine the building blocks of hardware, software and chemistry that we have developed into an integrated, functional system. The improvement we are proposing will significantly impact medicine by reducing time, cost and technical complexity of small sample transcriptional profiling; and will lower the bioinformatics burden by producing easier to interpret, better quality of information.
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A new diagnostic tool for rapid detection and characterization of REPEAT SEQUENCES in inherited diseases
  • 批准号:
    10682387
  • 项目类别:
  • 资助金额:
    $20.33万
  • 财政年份:
    2022
  • 负责人:
    Jason C Reed
  • 依托单位:
A new diagnostic tool for rapid detection and characterization of REPEAT SEQUENCES in inherited diseases
  • 批准号:
    10354657
  • 项目类别:
  • 资助金额:
    $25.57万
  • 财政年份:
    2022
  • 负责人:
    Jason C Reed
  • 依托单位:
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and Prognosis
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and Prognosis
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