Modeling Hybridization Kinetics of Gene Probes in a DNA Biochip Using FEMLAB.

Ahsan Munir, Hassan Waseem, Maggie R Williams, Robert D Stedtfeld, Erdogan Gulari, James M Tiedje, Syed A Hashsham
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引用次数: 11

Abstract

Microfluidic DNA biochips capable of detecting specific DNA sequences are useful in medical diagnostics, drug discovery, food safety monitoring and agriculture. They are used as miniaturized platforms for analysis of nucleic acids-based biomarkers. Binding kinetics between immobilized single stranded DNA on the surface and its complementary strand present in the sample are of interest. To achieve optimal sensitivity with minimum sample size and rapid hybridization, ability to predict the kinetics of hybridization based on the thermodynamic characteristics of the probe is crucial. In this study, a computer aided numerical model for the design and optimization of a flow-through biochip was developed using a finite element technique packaged software tool (FEMLAB; package included in COMSOL Multiphysics) to simulate the transport of DNA through a microfluidic chamber to the reaction surface. The model accounts for fluid flow, convection and diffusion in the channel and on the reaction surface. Concentration, association rate constant, dissociation rate constant, recirculation flow rate, and temperature were key parameters affecting the rate of hybridization. The model predicted the kinetic profile and signal intensities of eighteen 20-mer probes targeting vancomycin resistance genes (VRGs). Predicted signal intensities and hybridization kinetics strongly correlated with experimental data in the biochip (R² = 0.8131).

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利用FEMLAB模拟DNA生物芯片中基因探针的杂交动力学。
能够检测特定DNA序列的微流控DNA生物芯片在医学诊断、药物发现、食品安全监测和农业方面非常有用。它们被用作分析基于核酸的生物标志物的小型化平台。结合动力学之间的固定单链DNA的表面和它的互补链存在于样品的兴趣。为了以最小的样本量和快速杂交实现最佳灵敏度,基于探针的热力学特性预测杂交动力学的能力至关重要。在本研究中,利用有限元技术封装软件工具(FEMLAB;包包含在COMSOL Multiphysics中),以模拟DNA通过微流体室到反应表面的运输。该模型考虑了流体在通道内和反应表面的流动、对流和扩散。浓度、缔合速率常数、解离速率常数、再循环流量和温度是影响杂交速率的关键参数。该模型预测了18个靶向万古霉素耐药基因(vrg)的20-mer探针的动力学剖面和信号强度。预测信号强度和杂交动力学与生物芯片实验数据具有较强的相关性(R²= 0.8131)。
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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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