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Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus
This paper combines two advances to detect MERS-CoV, the causative agent of Middle East Respiratory Syndrome, that have emerged over the past few years from the new field of “synthetic biology”. Both are based on an older concept, where molecular beacons are used as the downstream detection of viral...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5010982/ https://www.ncbi.nlm.nih.gov/pubmed/27421627 http://dx.doi.org/10.1016/j.jviromet.2016.07.008 |
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author | Yaren, Ozlem Glushakova, Lyudmyla G. Bradley, Kevin M. Hoshika, Shuichi Benner, Steven A. |
author_facet | Yaren, Ozlem Glushakova, Lyudmyla G. Bradley, Kevin M. Hoshika, Shuichi Benner, Steven A. |
author_sort | Yaren, Ozlem |
collection | PubMed |
description | This paper combines two advances to detect MERS-CoV, the causative agent of Middle East Respiratory Syndrome, that have emerged over the past few years from the new field of “synthetic biology”. Both are based on an older concept, where molecular beacons are used as the downstream detection of viral RNA in biological mixtures followed by reverse transcription PCR amplification. The first advance exploits the artificially expanded genetic information systems (AEGIS). AEGIS adds nucleotides to the four found in standard DNA and RNA (xNA); AEGIS nucleotides pair orthogonally to the A:T and G:C pairs. Placing AEGIS components in the stems of molecular beacons is shown to lower noise by preventing unwanted stem invasion by adventitious natural xNA. This should improve the signal-to-noise ratio of molecular beacons operating in complex biological mixtures. The second advance introduces a nicking enzyme that allows a single target molecule to activate more than one beacon, allowing “signal amplification”. Combining these technologies in primers with components of a self-avoiding molecular recognition system (SAMRS), we detect 50 copies of MERS-CoV RNA in a multiplexed respiratory virus panel by generating fluorescence signal visible to human eye and/or camera. |
format | Online Article Text |
id | pubmed-5010982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50109822017-10-01 Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus Yaren, Ozlem Glushakova, Lyudmyla G. Bradley, Kevin M. Hoshika, Shuichi Benner, Steven A. J Virol Methods Article This paper combines two advances to detect MERS-CoV, the causative agent of Middle East Respiratory Syndrome, that have emerged over the past few years from the new field of “synthetic biology”. Both are based on an older concept, where molecular beacons are used as the downstream detection of viral RNA in biological mixtures followed by reverse transcription PCR amplification. The first advance exploits the artificially expanded genetic information systems (AEGIS). AEGIS adds nucleotides to the four found in standard DNA and RNA (xNA); AEGIS nucleotides pair orthogonally to the A:T and G:C pairs. Placing AEGIS components in the stems of molecular beacons is shown to lower noise by preventing unwanted stem invasion by adventitious natural xNA. This should improve the signal-to-noise ratio of molecular beacons operating in complex biological mixtures. The second advance introduces a nicking enzyme that allows a single target molecule to activate more than one beacon, allowing “signal amplification”. Combining these technologies in primers with components of a self-avoiding molecular recognition system (SAMRS), we detect 50 copies of MERS-CoV RNA in a multiplexed respiratory virus panel by generating fluorescence signal visible to human eye and/or camera. Elsevier B.V. 2016-10 2016-07-12 /pmc/articles/PMC5010982/ /pubmed/27421627 http://dx.doi.org/10.1016/j.jviromet.2016.07.008 Text en © 2016 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yaren, Ozlem Glushakova, Lyudmyla G. Bradley, Kevin M. Hoshika, Shuichi Benner, Steven A. Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title | Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title_full | Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title_fullStr | Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title_full_unstemmed | Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title_short | Standard and AEGIS nicking molecular beacons detect amplicons from the Middle East respiratory syndrome coronavirus |
title_sort | standard and aegis nicking molecular beacons detect amplicons from the middle east respiratory syndrome coronavirus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5010982/ https://www.ncbi.nlm.nih.gov/pubmed/27421627 http://dx.doi.org/10.1016/j.jviromet.2016.07.008 |
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