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Identification of post-transcriptional modifications in nucleic acid sequences using purpose-designed molecular beacons

Authors :
Parul Sahu
Getulio Pereira
Jian Wang
Nikolay Dokholyan
Kamil Szeliski
Vivian tran
Miroslaw Korneck
John Tigges
Jennifer Jones
Ionita Ghiran
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Post-transcriptional RNA modifications (PTxMs) present in small RNA species, specifically circulating extracellular RNAs, were recently identified as clinically relevant readouts, often more indicative of disease severity than the classical up and down changes in their copy number alone. While identification of PTxMs requires multiple and complex sample preparation steps, microgram-range amounts of RNA, followed by expensive and protracted bioinformatics analyses, the clinically relevant information is usually a yes/no for a particular genetic variant(s), and an up/down answer for relevant biomarkers. We have previously shown that molecular beacons (MBs) can identify specific nucleic acid sequences with picomolar sensitivity and single nucleotide specificity by exploiting the target-dependent change in their electrophoretic mobility profile. We now present a method for direct identification of miRNAs and isomiRs in cells and extracellular vesicles using gel electrophoresis, without the need for RNA isolation and purification. The detection is based on discreet changes in the hydrodynamic surface profile, the overall size, charge and charge distribution of the MB-target hybrid. Furthermore, using an RNA tertiary structure prediction algorithm (iFoldRNA) and a custom molecular dynamics simulation (DMD), we designed modified MBs specific for m6A-modified nucleotides in target RNA sequences. The sample preparation method coupled to the software package affords the design of specific MBs and sensitive, multiplex-type detection of targets in a wide variety of biofluids and cells, in a simple mix and read approach.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........8662edd1b86d72ceea6717702fc93b87
Full Text :
https://doi.org/10.1101/2023.05.25.542360