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Please note that, as of 18 July 2017, Microarrays has been renamed to High-Throughput and is now published here.
Article

Phenotypic MicroRNA Microarrays

Institut Pasteur Korea, IP-Korea, 696 Sampyeong-dong, Bundang-gu, Seongnam-si, Gyeonggi-do 463-400, Korea
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Microarrays 2013, 2(2), 63-80; https://doi.org/10.3390/microarrays2020063
Received: 8 February 2013 / Revised: 20 March 2013 / Accepted: 25 March 2013 / Published: 3 April 2013
(This article belongs to the Special Issue MicroRNA Microarrays)
Microarray technology has become a very popular approach in cases where multiple experiments need to be conducted repeatedly or done with a variety of samples. In our lab, we are applying our high density spots microarray approach to microscopy visualization of the effects of transiently introduced siRNA or cDNA on cellular morphology or phenotype. In this publication, we are discussing the possibility of using this micro-scale high throughput process to study the role of microRNAs in the biology of selected cellular models. After reverse-transfection of microRNAs and siRNA, the cellular phenotype generated by microRNAs regulated NF-κB expression comparably to the siRNA. The ability to print microRNA molecules for reverse transfection into cells is opening up the wide horizon for the phenotypic high content screening of microRNA libraries using cellular disease models. View Full-Text
Keywords: microRNA; siRNA; phenotypic screen microRNA; siRNA; phenotypic screen
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MDPI and ACS Style

Kwon, Y.-J.; Heo, J.Y.; Kim, H.C.; Kim, J.Y.; Liuzzi, M.; Soloveva, V. Phenotypic MicroRNA Microarrays. Microarrays 2013, 2, 63-80. https://doi.org/10.3390/microarrays2020063

AMA Style

Kwon Y-J, Heo JY, Kim HC, Kim JY, Liuzzi M, Soloveva V. Phenotypic MicroRNA Microarrays. Microarrays. 2013; 2(2):63-80. https://doi.org/10.3390/microarrays2020063

Chicago/Turabian Style

Kwon, Yong-Jun, Jin Y. Heo, Hi C. Kim, Jin Y. Kim, Michel Liuzzi, and Veronica Soloveva. 2013. "Phenotypic MicroRNA Microarrays" Microarrays 2, no. 2: 63-80. https://doi.org/10.3390/microarrays2020063

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