Isolation and Identification of Post-Transcriptional Gene Silencing-Related Micro-RNAs by Functionalized Silicon Nanowire Field-effect Transistor View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Kuan-I Chen, Chien-Yuan Pan, Keng-Hui Li, Ying-Chih Huang, Chia-Wei Lu, Chuan-Yi Tang, Ya-Wen Su, Ling-Wei Tseng, Kun-Chang Tseng, Chi-Yun Lin, Chii-Dong Chen, Shih-Shun Lin, Yit-Tsong Chen

ABSTRACT

Many transcribed RNAs are non-coding RNAs, including microRNAs (miRNAs), which bind to complementary sequences on messenger RNAs to regulate the translation efficacy. Therefore, identifying the miRNAs expressed in cells/organisms aids in understanding genetic control in cells/organisms. In this report, we determined the binding of oligonucleotides to a receptor-modified silicon nanowire field-effect transistor (SiNW-FET) by monitoring the changes in conductance of the SiNW-FET. We first modified a SiNW-FET with a DNA probe to directly and selectively detect the complementary miRNA in cell lysates. This SiNW-FET device has 7-fold higher sensitivity than reverse transcription-quantitative polymerase chain reaction in detecting the corresponding miRNA. Next, we anchored viral p19 proteins, which bind the double-strand small RNAs (ds-sRNAs), on the SiNW-FET. By perfusing the device with synthesized ds-sRNAs of different pairing statuses, the dissociation constants revealed that the nucleotides at the 3'-overhangs and pairings at the terminus are important for the interactions. After perfusing the total RNA mixture extracted from Nicotiana benthamiana across the device, this device could enrich the ds-sRNAs for sequence analysis. Finally, this bionanoelectronic SiNW-FET, which is able to isolate and identify the interacting protein-RNA, adds an additional tool in genomic technology for the future study of direct biomolecular interactions. More... »

PAGES

17375

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep17375

DOI

http://dx.doi.org/10.1038/srep17375

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052745234

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26616332


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