Literature DB >> 30084527

Sensing Picomolar Concentrations of RNA Using Switchable Plasmonic Chirality.

Timon Funck1, Francesca Nicoli1, Anton Kuzyk2, Tim Liedl1.   

Abstract

Detecting small sequences of RNA in biological samples such as microRNA or viral RNA demands highly sensitive and specific methods. Here, a reconfigurable DNA origami template has been used where a chiral arrangement of gold nanorods on the structure can lead to the generation of strong circular dichroism (CD). Switching of the cross-like DNA structure is achieved by the addition of nucleic acid sequences, which arrests the structure in one of the possible chiral states by specific molecular recognition. A specific sequence can thus be detected through the resulting changes in the plasmonic CD spectrum. We show the sensitive and selective detection of a target RNA sequence from the hepatitis C virus genome. The RNA binds to a complementary sequence that is part of the lock mechanism, which leads to the formation of a defined state of the plasmonic system with a distinct optical response. With this approach, we were able to detect this specific RNA sequence at concentrations as low as 100 pm.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  DNA origami; RNA; chirality; plasmonics; sensing

Mesh:

Substances:

Year:  2018        PMID: 30084527     DOI: 10.1002/anie.201807029

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  16 in total

Review 1.  Dynamic DNA Structures.

Authors:  Yingwei Zhang; Victor Pan; Xue Li; Xueqin Yang; Haofei Li; Pengfei Wang; Yonggang Ke
Journal:  Small       Date:  2019-04-10       Impact factor: 13.281

2.  Tunable Chiral Optics in All-Solid-Phase Reconfigurable Dielectric Nanostructures.

Authors:  Jingang Li; Mingsong Wang; Zilong Wu; Huanan Li; Guangwei Hu; Taizhi Jiang; Jianhe Guo; Yaoran Liu; Kan Yao; Zhihan Chen; Jie Fang; Donglei Fan; Brian A Korgel; Andrea Alù; Yuebing Zheng
Journal:  Nano Lett       Date:  2020-12-29       Impact factor: 11.189

Review 3.  Robotic DNA Nanostructures.

Authors:  Sami Nummelin; Boxuan Shen; Petteri Piskunen; Qing Liu; Mauri A Kostiainen; Veikko Linko
Journal:  ACS Synth Biol       Date:  2020-07-12       Impact factor: 5.110

Review 4.  DNA nanotechnology approaches for microRNA detection and diagnosis.

Authors:  Arun Richard Chandrasekaran; Jibin Abraham Punnoose; Lifeng Zhou; Paromita Dey; Bijan K Dey; Ken Halvorsen
Journal:  Nucleic Acids Res       Date:  2019-11-18       Impact factor: 16.971

Review 5.  DNA Origami-Enabled Biosensors.

Authors:  Shuang Wang; Zhaoyu Zhou; Ningning Ma; Sichang Yang; Kai Li; Chao Teng; Yonggang Ke; Ye Tian
Journal:  Sensors (Basel)       Date:  2020-12-03       Impact factor: 3.576

6.  Programmed catalysis within stimuli-responsive mechanically unlocked nanocavities in DNA origami tiles.

Authors:  Jianbang Wang; Zhixin Zhou; Zhenzhen Li; Itamar Willner
Journal:  Chem Sci       Date:  2020-10-27       Impact factor: 9.825

Review 7.  DNA Origami as Emerging Technology for the Engineering of Fluorescent and Plasmonic-Based Biosensors.

Authors:  Morgane Loretan; Ivana Domljanovic; Mathias Lakatos; Curzio Rüegg; Guillermo P Acuna
Journal:  Materials (Basel)       Date:  2020-05-09       Impact factor: 3.623

8.  Programmable low-cost DNA-based platform for viral RNA detection.

Authors:  Lifeng Zhou; Arun Richard Chandrasekaran; Jibin Abraham Punnoose; Gaston Bonenfant; Stephon Charles; Oksana Levchenko; Pheonah Badu; Cassandra Cavaliere; Cara T Pager; Ken Halvorsen
Journal:  Sci Adv       Date:  2020-09-25       Impact factor: 14.136

9.  DNA Nanostructures in the Fight Against Infectious Diseases.

Authors:  David M Smith; Adrian Keller
Journal:  Adv Nanobiomed Res       Date:  2021-01-06

10.  Light-Responsive Dynamic DNA-Origami-Based Plasmonic Assemblies.

Authors:  Joonas Ryssy; Ashwin K Natarajan; Jinhua Wang; Arttu J Lehtonen; Minh-Kha Nguyen; Rafal Klajn; Anton Kuzyk
Journal:  Angew Chem Int Ed Engl       Date:  2021-02-16       Impact factor: 16.823

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