课题基金 / 基金详情

Optical Encoding for Large Numbers of Samples

Optical Encoding for Large Numbers of Samples
大量样本的光学编码
批准号:
6790466
负责人:
ROBERT C HAUSHALTER
金额:
$14.91万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-05-01 至 2005-10-31

项目摘要

项目成果

ROBERT C HAUSHALTER的其他基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): A new optical encoding method for labeling large numbers of samples based on measurement of emission ratios in samples containing various ratios of rare earth infrared upconverting phosphor (RUP) labels is described. Preliminary data suggest it may be possible to multiplex >2.5 x 104 samples using a four colors system. While previous examples of labeling individual samples with a single RUP material are known, the use of multiplexing based on the ratios of more than one RUP within a single reporter particle vastly expands the number of individual samples that can be identified. The presence of non-overlapping, very narrow emissions in the visible region for the rare earth emitters, lack of sample autofluorescence at the 980 nm excitation wavelength and the total absence of photobleaching makes the high degree of multiplexing possible. To perform a 10,000 oligonucleotide microarray experiment in a test tube, the 10,000 oligonucleotides of interest could be attached to 10,000 different RUP samples and subjected to normal hybridization. Analysis of the red/green target ratio and the RUP label, on two separate detectors within a flow cytometer capable of sorting 8-10 thousand samples/second, could allow millions of gene expression products to be analyzed in a few minutes.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1002/smll.201100629
发表时间: 2011-07-18
期刊: SMALL
影响因子: 13.3
作者: [Zhang, Fan, Haushalter, Robert C., Haushalter, Robert W., Shi, Yifeng, Zhang, Yichi, Ding, Kunlun, Zhao, Dongyuan, Stucky, Galen D.]
通讯作者: Stucky, Galen D.
High Throughput Microrepository for Genetic Materials
Multiplexed PCR on Optically Encoded Beads
Optical Encoding Technology for Viral Screening Panels
High Throughput Microrepository for Genetic Materials