期刊论文详细信息
TALANTA 卷:161
Novel bead-based platform for direct detection of unlabelled nucleic acids through Single Nucleobase Labelling
Article
Venkateswaran, Seshasailam1  Angelica Luque-Gonzalez, Maria2,3  Tabraue-Chavez, Mavys4  Antonio Fara, Mario4,5  Lopez-Longarela, Barbara4  Cano-Cortes, Victoria2,3  Javier Lopez-Delgado, Francisco2,3  Maria Sanchez-Martin, Rosario2,3  Ilyine, Hugh5  Bradley, Mark1  Pernagallo, Salvatore4,5  Jose Diaz-Mochon, Juan2,3,5 
[1] Univ Edinburgh, Sch Chem, EaStCHEM, Kings Bldg,West Mains Rd, Edinburgh EH9 3FJ, Midlothian, Scotland
[2] Pfizer Univ Granada Junta Andalucia Ctr Genom & O, Parque Tecnol Ciencias Salud PTS,Ave Ilustrac 114, Granada 18016, Spain
[3] Univ Granada, Fac Pharm, Campus Cartuja S-N, E-18071 Granada, Spain
[4] DestiNA Genom SL, Parque Tecnol Ciencias Salud PTS,Ave Innovac 1, Granada 18016, Spain
[5] DestiNA Genom Ltd, 7-11 Melville St, Edinburgh EH3 7PE, Midlothian, Scotland
关键词: Dynamic chemistry;    Peptide nucleic acid (PNA);    Magnetic microspheres;    Nucleic acid;    MicroRNA (miRNA);    Nucleic acid test (NAT);    Single Nucleobase Labelling (SNL);   
DOI  :  10.1016/j.talanta.2016.08.072
来源: Elsevier
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【 摘 要 】

Over the last decade, circulating microRNAs have received attention as diagnostic and prognostic biomarkers. In particular, microRNA122 has been demonstrated to be an early and more sensitive indicator of drug-induced liver injury than the widely used biomarkers such as alanine aminotransferase and aspartate aminotransferase. Recently, microRNA122 has been used in vitro to assess the cellular toxicity of new drugs and as a biomarker for the development of a rapid test for drug overdose/liver damage. In this proof-of-concept study, we report a PCR-free and label-free detection method that has a limit of detection (3 standard deviations) of 15 fmoles of microRNA122, by integrating a dynamic chemical approach for Single Nucleobase Labelling with a bead-based platform (Luminex (R)) thereby, in principle, demonstrating the exciting prospect of rapid and accurate profiling of any microRNAs related to diseases and toxicology. (C) 2016 Elsevier B.V. All rights reserved.

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