JOURNAL ARTICLE

Sensitive Quantitative Nucleic Acid Detection Using Oligonucleotide Microarrays

Arnold VainrubB. Montgomery Pettitt

Year: 2003 Journal:   Journal of the American Chemical Society Vol: 125 (26)Pages: 7798-7799   Publisher: American Chemical Society

Abstract

We report a new theoretical approach to optimize the performance and quantify the results of gene expression oligonucleotide microarrays which are widely used in biomedical research. An on-array hybridization isotherm that takes into account the screened Coulomb repulsion between the assayed nucleic acid target and the layer of surface tethered oligonucleotide probes is presented. The hybridization efficiency is found as a function of the genomic target (sequence, length, and concentration), array parameters (probe sequence and length, surface probe density), and hybridization conditions (temperature and buffer ionic strength). We present simple relations for the hybridization signal maximum and the linear dynamic detection range and show explicit criteria for optimization. The approach is based on an extension of our recently published theory (Vainrub, A.; Pettitt, B. M. Phys. Rev. E 2002, 66, art. no.-041905) which we generalize here for the cases of target depletion effects and arbitrary target length.

Keywords:
Oligonucleotide Chemistry Nucleic acid DNA microarray Nucleic acid detection Locked nucleic acid Nucleic acid thermodynamics Ionic strength Sequence (biology) Function (biology) Microarray Computational biology Biological system Gene Gene expression Genetics RNA Biochemistry Physical chemistry Biology

Metrics

70
Cited By
2.32
FWCI (Field Weighted Citation Impact)
8
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced biosensing and bioanalysis techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Gene expression and cancer classification
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Advanced Biosensing Techniques and Applications
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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