Application of nucleic acid analogues as receptor layers for biosensors

Agnieszka Bala , Łukasz Górski

Abstract

Nucleic acid-based biosensors are typically used to detect DNA or RNA fragments of clinical importance. Moreover, these sensors can also be used to detect different analytes, including viruses, peptides, small organic molecules and metal ions. However, the lack of resistance to restriction enzymes prevents the use of these sensors in in vivo measurements. Moreover, due to their reduced stability under environmental conditions as well as non-specific interactions, the usefulness of DNA biosensors can be limited. To mitigate these problems, analogues of nucleic acids can be used. These compounds are structurally similar to natural DNA, with alternative backbones. Due to their excellent affinity and specificity toward complementary strands, the most useful and popular nucleic acid analogues are peptide nucleic acid (PNA), locked nucleic acid (LNA) and phosphorothioate oligonucleotide (PTO). Herein, we present an overview of biosensors employing nucleic acid analogues as receptor layers, published in the last few years. Their advantages and their limitations are discussed.
Author Agnieszka Bala ZMB
Agnieszka Bala,,
- Department Of Microbioanalytics
, Łukasz Górski ZMB
Łukasz Górski,,
- Department Of Microbioanalytics
Journal seriesAnalytical Methods, ISSN 1759-9660
Issue year2016
Vol8
No2
Pages236-244
Publication size in sheets0.5
Keywords in EnglishBiomolecules; Biosensors; DNA; Metal ions; Metals; Oligonucleotides; Peptides; Viruses
DOIDOI:10.1039/c5ay02620b
URL http://pubs.rsc.org/is/content/articlehtml/2016/ay/c5ay02620b
Languageen angielski
File
c5ay02620b.pdf (file archived - login or check accessibility on faculty) c5ay02620b.pdf 471.8 KB
Score (nominal)25
ScoreMinisterial score = 25.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.9 (2) - 2016=1.893 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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