Please use this identifier to cite or link to this item:
http://hdl.handle.net/1843/62264
Type: | Artigo de Periódico |
Title: | Optical and theoretical study of strand recognition by nucleic acid probes |
Authors: | Ivana Domljanovic Maria Taskova Pâmella Miranda de Moura Gerald Weber Kira Astakhova |
Abstract: | Detection of nucleic acids is crucial to the study of their basic properties and consequently to applying this knowledge to the determination of pathologies such as cancer. In this work, our goal is to determine new trends for creating diagnostic tools for cancer driver mutations. Herein, we study a library of natural and modified oligonucleotide duplexes by a combination of optical and theoretical methods. We report a profound effect of additives on the duplexes, including nucleic acids as an active crowder. Unpredictably and inconsistent with DNA+LNA/RNA duplexes, locked nucleic acids contribute poorly to mismatch discrimination in the DNA+LNA/DNA duplexes. We develop a theoretical framework that explains poor mismatch discrimination in KRAS oncogene. We implement our findings in a bead-bait genotyping assay to detect mutated human cancer RNA. The performance of rationally designed probes in this assay is superior to the LNA-primer polymerase chain reaction, and it agrees with sequencing data. |
Subject: | Biofísica Ácidos nucleicos Ótica |
language: | eng |
metadata.dc.publisher.country: | Brasil |
Publisher: | Universidade Federal de Minas Gerais |
Publisher Initials: | UFMG |
metadata.dc.publisher.department: | ICX - DEPARTAMENTO DE FÍSICA |
Rights: | Acesso Aberto |
metadata.dc.identifier.doi: | https://doi.org/10.1038/s42004-020-00362-5 |
URI: | http://hdl.handle.net/1843/62264 |
Issue Date: | 2020 |
metadata.dc.url.externa: | https://www.nature.com/articles/s42004-020-00362-5 |
metadata.dc.relation.ispartof: | communications chemistry |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
File | Description | Size | Format | |
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Optical and theoretical study of strand recognition.pdf | 1.36 MB | Adobe PDF | View/Open |
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