A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles

We report a platform utilizing a reporter enzyme, which produces a chromogenic indigo precipitate that preferentially localizes within a hydrogel microparticle. The 3D network of the hydrogel maintains the rapid target binding kinetics found in solution, while multiplexed target detection is achieve...

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Main Authors: Juthani, Nidhi, Doyle, Patrick S
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:English
Published: Royal Society of Chemistry (RSC) 2020
Online Access:https://hdl.handle.net/1721.1/126187
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author Juthani, Nidhi
Doyle, Patrick S
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Juthani, Nidhi
Doyle, Patrick S
author_sort Juthani, Nidhi
collection MIT
description We report a platform utilizing a reporter enzyme, which produces a chromogenic indigo precipitate that preferentially localizes within a hydrogel microparticle. The 3D network of the hydrogel maintains the rapid target binding kinetics found in solution, while multiplexed target detection is achieved through shape-encoding of the particles. Moreover, the precipitate-laden hydrogels can be imaged with a simple phone camera setup. We used this system to detect microRNA (miRNA) down to 0.22 fmol. We then showed the compatibility of this system with real samples by performing multiplexed miRNA measurements from total RNA from matched colon cancer and normal adjacent tissue.
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spelling mit-1721.1/1261872022-10-02T04:20:35Z A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles Juthani, Nidhi Doyle, Patrick S Massachusetts Institute of Technology. Department of Chemical Engineering We report a platform utilizing a reporter enzyme, which produces a chromogenic indigo precipitate that preferentially localizes within a hydrogel microparticle. The 3D network of the hydrogel maintains the rapid target binding kinetics found in solution, while multiplexed target detection is achieved through shape-encoding of the particles. Moreover, the precipitate-laden hydrogels can be imaged with a simple phone camera setup. We used this system to detect microRNA (miRNA) down to 0.22 fmol. We then showed the compatibility of this system with real samples by performing multiplexed miRNA measurements from total RNA from matched colon cancer and normal adjacent tissue. National Institutes of Health (Grant 5R21EB024101-02) 2020-07-14T20:10:28Z 2020-07-14T20:10:28Z 2020-06 2020-05 2020-07-10T14:52:53Z Article http://purl.org/eprint/type/JournalArticle 0003-2654 1364-5528 https://hdl.handle.net/1721.1/126187 Juthani Nidhi and Patrick S. Doyle. "A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles." Analyst 2020 (June 2020) © 2020 Royal Society of Chemistry en http://dx.doi.org/10.1039/d0an00938e The Analyst Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/ application/pdf Royal Society of Chemistry (RSC) Royal Society of Chemistry (RSC)
spellingShingle Juthani, Nidhi
Doyle, Patrick S
A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title_full A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title_fullStr A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title_full_unstemmed A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title_short A platform for multiplexed colorimetric microRNA detection using shape-encoded hydrogel particles
title_sort platform for multiplexed colorimetric microrna detection using shape encoded hydrogel particles
url https://hdl.handle.net/1721.1/126187
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