Optimization of Encoded Hydrogel Particles for Nucleic Acid Quantification

Overview

Journal Anal Chem

Specialty Chemistry

Date 2009 May 14

PMID 19435332

Citations 31

Authors

Daniel C Pregibon

Patrick S Doyle

Affiliations

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Abstract

The accurate quantification of nucleic acids is of utmost importance for clinical diagnostics, drug discovery, and basic science research. These applications require the concurrent measurement of multiple targets while demanding high-throughput analysis, high sensitivity, specificity between closely related targets, and a wide dynamic range. In attempt to create a technology that can simultaneously meet these demands, we recently developed a method of multiplexed analysis using encoded hydrogel particles. Here, we demonstrate tuning of hydrogel porosity with semi-interpenetrating networks of poly(ethylene glycol), develop a quantitative model to understand hybridization kinetics, and use the findings from these studies to enhance particle design for nucleic acid detection. With an optimized particle design and efficient fluorescent labeling scheme, we demonstrate subattomole sensitivity and single-nucleotide specificity for small RNA targets.

Citing Articles

Multiplex Assay for Rapid Detection and Analysis of Nucleic Acid Using Barcode Receptor Encoded Particle (BREP).

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High-throughput selection of cells based on accumulated growth and division using PicoShell particles.

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Quantitative and Multiplex Detection of Extracellular Vesicle-Derived MicroRNA via Rolling Circle Amplification within Encoded Hydrogel Microparticles.

Al Sulaiman D, Juthani N, Doyle P Adv Healthc Mater. 2022; 11(10):e2102332.

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Highly Magnetized Encoded Hydrogel Microparticles with Enhanced Rinsing Capabilities for Efficient microRNA Detection.

Jang W, Kim J, Mun S, Kim S, Bong K Biomedicines. 2021; 9(7).

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MRBLES 2.0: High-throughput generation of chemically functionalized spectrally and magnetically encoded hydrogel beads using a simple single-layer microfluidic device.

Feng Y, White A, Hein J, Appel E, Fordyce P Microsyst Nanoeng. 2020; 6:109.

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