Optimization of a Signal Enhancement Strategy for the Detection of MicroRNA Using Silicon Photonic Microring Resonator Arrays
Para, Christopher
Loading…
Permalink
https://hdl.handle.net/2142/95814
Description
Title
Optimization of a Signal Enhancement Strategy for the Detection of MicroRNA Using Silicon Photonic Microring Resonator Arrays
Author(s)
Para, Christopher
Contributor(s)
Bailey, Ryan
Issue Date
2016
Keyword(s)
Chemistry
Communication
Abstract
MicroRNAs (miRNAs) are an important class of non-coding RNA
molecules, regulating gene expression at the transcriptional and
post-transcriptional level. As potent gene regulators, miRNAs
have been linked to developmental processes and establishment
and maintenance of tissue differentiation. As a result, miRNA
expression in tissue and blood samples can be associated with
disease types and stages and be used to fully distinguish tissue
types. These findings, among others, have firmly established the
diagnostic value of miRNAs. Recently, our group has shown the
ability of silicon photonic microring resonators to quantitatively
detect miRNA.This technology is scalable, highly multiplexable
(128 sensors/chip), and inexpensive (<$1/assay). Current nucleic
acid analysis methods have distinct disadvantages when compared
to microring resonators. qRT-PCR is incredibly sensitive
but requires expensive reagents and has limited multiplexing capabilities.
Conversely, microarrays are highly multiplexable, but
labor intensive and expensive. Here we use the microring resonator
platform to quantitate expression levels of 7 miRNAs relevant
to distinguishing tissue type, while also leaving sensors to
normalize data and compare the results to those obtained from
qRT-PCR (the current gold standard).
The TRiO McNair journal is a culmination of research conducted by student scholars and their facutly representatives through the Ronald E. McNair Scholars Program.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.