henhaobio
Sign in

Biosensors and BioelectronicsSynthetic BiologyPeer-reviewed journal article

MEMO: A Micro Memo Sensor Detecting microRNA-RISC using an Accurate Cell-Free Expression Platform

Caroline E. Copeland, Chloe J. Heitmeier, Jeehye KimiD, Yong‐Chan KwoniD

PDFDOIPreprint

Abstract

Circulating microRNAs have emerged as potential prognostic biomarkers of various diseases. They serve as micro memos sent out by cells, which scientists can intercept to gain real-time insights into cellular and disease status. However, establishing a standardized microRNA detection platform remains a challenge. Here, we integrate the RNA-induced silencing complex (RISC), which occupies mature microRNAs, into a complex cell-free synthetic genetic circuit using three different RNA polymerases, creating an innovative microRNA biosensor that is sensitive, precise, and cost-effective. The RISC protects the microRNA degradation during isolation and ensures the elimination of false target interactions, enhancing the detection robustness. With a limit of detection of 81 pM, affordability, and the possibility for on-demand use, this system proves to be a strong miRNA sensing tool.

Citations
2
FWCI
0.27
Field percentile
50th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCopeland '23Chandraseka '18Wang '22Chau '26Bruch '19Geithe '21
72% semantic matchSynthetic Biology
Caroline E. Copeland, Yong‐Chan Kwon·Biotechnology Notes·Jan 1, 2023· 5 citations