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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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相关实验视频

Updated: Jan 9, 2026

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Published on: October 6, 2022

使用可编程的Aptamer数组对生物标记物的信息理论引导检测.

Amit Eshed^1,2, Alexander A Green^1,2,3

¹Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.

medRxiv : the preprint server for health sciences

|December 8, 2025

概括

研究人员开发了一种新型的核酸装置,即度检测阵列 (CDA),用于护理点诊断. 这个设备准确地分类核酸度,改善早期疾病检测,如非小细胞肺癌.

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A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

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Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Published on: January 6, 2016

相关实验视频

Last Updated: Jan 9, 2026

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Published on: October 6, 2022

A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

Published on: February 28, 2015

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Published on: January 6, 2016

科学领域:

生物分子工程生物分子工程
分子诊断学分子诊断学
生物信息学是一种生物信息学.

背景情况:

内源核酸生物标志物显示出疾病预测的前景,但缺乏治疗点 (PoC) 诊断设备.
基于内源生物标志物的诊断是复杂的,因为它依赖于从健康基线的度转移.

研究的目的:

开发一种核酸装置,用于在护理地点精确量化和分类内源生物标志物.
创建基于信息理论的诊断策略,以使用最小的测试进行有效的患者分析,特别是用于检测非小细胞肺癌.

主要方法:

介绍度检测阵列 (CDA),一种利用通道激活值的核酸装置,用于目标核酸识别和度分类.
实施共识投票和纠错方法,以实现强大的CDA性能,实现高分类分类准确度 (AUC = 0.945-0.955).
开发用于预后微RNA (miRNA) 的概率分布函数 (PDF),并与用于诊断策略的miRNA感应CDA集成.

主要成果:

CDAs表现出优异的分类分类性能,具有高的AUC值.
创建了一个miRNA感应CDA和PDF模型库,使基于信息理论的诊断策略成为可能.
差异最大化策略在单个测试中有效地识别了患者个人资料,比其他方法更快地学习信息.

结论:

度检测器阵列 (CDA) 为敏感和特定的护理点核酸生物标志物检测提供了一个有前途的平台.
基于信息理论的诊断策略,特别是分歧最大化,通过尽量减少所需测试数量来提高诊断效率.
这种方法解决了非小细胞肺癌等疾病的诊断差距,为改善患者分层和管理铺平了道路.