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Soft matter on-a-chip: Nanofluidics for single molecule DNA analysis and manipulation

Soft matter on-a-chip: Nanofluidics for single molecule DNA analysis and manipulation
软物质芯片:用于单分子 DNA 分析和操作的纳米流体
批准号:
386212-2010
负责人:
Reisner, Walter
金额:
$2.33万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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英文摘要
Nanofluidic devices are networks of fluid-filled channels etched on a chip with dimensions on order of 1-100nm. Devices with such small dimensions can have radically different properties than their macro world analogs, in particular the ability to manipulate and analyze single molecules. The core of the PI's research program-both pure and applied-is the use of nanofluidic devices for the manipulation and analysis of single molecules of DNA. DNA is of fundamental importance to biology, an important nanoscale structural material in its own right and a model system for understanding the physics of polyelectrolytes in confinement. The goal of the PI's fundamental research program is to create new knowledge (new scaling laws, explore new phenomena) while translating the basic science into new device concepts. The applied component makes use of nanofluidic technology to tackle immediate problems in biomedicine. When DNA is squeezed into a small 'nanopipe' (e.g. using high pressure) the molecule will stretch out, unscrolling the genome along the channel. The PI has developed a new 'melting mapping' approach for analyzing the unscrolled DNA. The extended DNA is partially melted via chemical and thermal denaturation, resulting in the co-existence of double stranded and single stranded regions along the molecule. This melting pattern is sequence dependent. By using dyes which unbind from melted regions, the local melting pattern can be observed optically as a "bar-code" of alternating dark and bright regions. The long term goal is to use this barcoding technology to create maps of entire genome to aid in sequencing, the study of large-scale structural variation and as a tool for single cell genomic analysis.
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