Quantitative and multiplex microRNA assays from unprocessed cells in isolated nanoliter well arrays
Name
c8lc00498f.pdf
Size
3.27 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Zhang, Wen Cai
Slack, Frank J.
Tentori, Augusto M
Nagarajan, Maxwell Benjamin
Kim, Jae Jung
Doyle, Patrick S
Date Issued
July 2018
Journal
Lab on a Chip
Publisher
Royal Society of Chemistry (RSC)
Citation
Tentori, Augusto M. et al. “Quantitative and Multiplex microRNA Assays from Unprocessed Cells in Isolated Nanoliter Well Arrays.” Lab on a Chip 18, 16 (2018): 2410–2424 © 2018 The Royal Society of Chemistry
Version
Final published version
Abstract
MicroRNAs (miRNAs) have recently emerged as promising biomarkers for the profiling of diseases. Translation of miRNA biomarkers to clinical practice, however, remains a challenge due to the lack of analysis platforms for sensitive, quantitative, and multiplex miRNA assays that have simple and robust workflows suitable for translation. The platform we present here utilizes functionalized hydrogel posts contained within isolated nanoliter well reactors for quantitative and multiplex assays directly from unprocessed cell samples without the need of prior nucleic acid extraction. Simultaneous reactor isolation and delivery of miRNA extraction reagents is achieved by sealing an array of wells containing the functionalized hydrogel posts and cells against another array of wells containing lysis and extraction reagents. The nanoliter well array platform features >100× better sensitivity compared to previous technology utilizing hydrogel particles without relying on signal amplification and enables >100 parallel assays in a single device. These advances provided by this platform lay the groundwork for translatable and robust analysis technologies for miRNA expression profiling in samples with small populations of cells and in precious, material-limited samples.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial 3.0 Unported
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DOI of Published Version
https://doi.org/10.1039/c8lc00498f
