five

Data content for SI Figures in PLOS ONE paper "Nanopore-based Target Sequence Detection"

收藏
DataCite Commons2020-09-04 更新2024-07-25 收录
下载链接:
https://figshare.com/articles/dataset/Data_content_for_SI_Figures_in_PLOS_ONE_paper_Nanopore_based_Target_Sequence_Detection_/3180268/1
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract from the paper: The promise of portable diagnostic devices relies on three basic requirements: comparable sensitivity to established platforms, inexpensive manufacturing and cost of operations, and the ability to survive rugged field conditions. Solid state nanopores can meet all these requirements, but to achieve high manufacturing yields at low costs, assays must be tolerant to fabrication imperfections and to nanopore enlargement during operation. This paper presents a model for molecular engineering techniques that meets these goals with the aim of detecting target sequences within DNA. In contrast to methods that require precise geometries, we demonstrate detection using a range of pore geometries. As a result, our assay model tolerates any pore-forming method and in-situ pore enlargement. Using peptide nucleic acid (PNA) probes modified for conjugation with synthetic bulk-adding molecules, pores ranging 15-50 nm in diameter are shown to detect individual PNA-bound DNA. Detection of the CFTRDeltaF508 gene mutation, a codon deletion responsible for ~66% of all cystic fibrosis chromosomes, is demonstrated with a 26-36 nm pore size range by using a size-enhanced PNA probe. A mathematical framework for assessing the statistical significance of detection is also presented.
提供机构:
figshare
创建时间:
2016-04-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作