tRNA Modification Detection Using Graphene Nanopores: A Simulation Study

There are over 100 enzyme-catalyzed modifications on transfer RNA (tRNA) molecules. The levels and identity of wobble uridine (U) modifications are affected by environmental conditions and diseased states, making wobble U detection a potential biomarker for exposures and pathological conditions. The...

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Bibliographic Details
Main Authors: Khadijah Onanuga, Thomas J. Begley, Alan A. Chen, Srivathsan V. Ranganathan
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Biomolecules
Subjects:
Online Access:https://www.mdpi.com/2218-273X/7/3/65
Description
Summary:There are over 100 enzyme-catalyzed modifications on transfer RNA (tRNA) molecules. The levels and identity of wobble uridine (U) modifications are affected by environmental conditions and diseased states, making wobble U detection a potential biomarker for exposures and pathological conditions. The current detection of RNA modifications requires working with nucleosides in bulk samples. Nanopore detection technology uses a single-molecule approach that has the potential to detect tRNA modifications. To evaluate the feasibility of this approach, we have performed all-atom molecular dynamics (MD) simulation studies of a five-layered graphene nanopore by localizing canonical and modified uridine nucleosides. We found that in a 1 M KCl solution with applied positive and negative biases not exceeding 2 V, nanopores can distinguish U from 5-carbonylmethyluridine (cm5U), 5-methoxycarbonylmethyluridine (mcm5U), 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U), and 5-methoxycarbonylmethyl-2′-O-methyluridine (mcm5Um) based on changes in the resistance of the nanopore. Specifically, we observed that in nanopores with dimensions less than 3 nm diameter, a localized mcm5Um and mcm5U modifications could be clearly distinguished from the canonical uridine, while the other modifications showed a modest yet detectable decrease in their respective nanopore conductance. We have compared the results between nanopores of various sizes to aid in the design, optimization, and fabrication of graphene nanopores devices for tRNA modification detection.
ISSN:2218-273X