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Phenotypic 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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003479/ https://www.ncbi.nlm.nih.gov/pubmed/27605181 http://dx.doi.org/10.3390/microarrays2020063 |
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author | Kwon, Yong-Jun Heo, Jin Yeong Kim, Hi Chul Kim, Jin Yeop Liuzzi, Michel Soloveva, Veronica |
author_facet | Kwon, Yong-Jun Heo, Jin Yeong Kim, Hi Chul Kim, Jin Yeop Liuzzi, Michel Soloveva, Veronica |
author_sort | Kwon, Yong-Jun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5003479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50034792016-09-06 Phenotypic MicroRNA Microarrays Kwon, Yong-Jun Heo, Jin Yeong Kim, Hi Chul Kim, Jin Yeop Liuzzi, Michel Soloveva, Veronica Microarrays (Basel) Article 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. MDPI 2013-04-03 /pmc/articles/PMC5003479/ /pubmed/27605181 http://dx.doi.org/10.3390/microarrays2020063 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Kwon, Yong-Jun Heo, Jin Yeong Kim, Hi Chul Kim, Jin Yeop Liuzzi, Michel Soloveva, Veronica Phenotypic MicroRNA Microarrays |
title | Phenotypic MicroRNA Microarrays |
title_full | Phenotypic MicroRNA Microarrays |
title_fullStr | Phenotypic MicroRNA Microarrays |
title_full_unstemmed | Phenotypic MicroRNA Microarrays |
title_short | Phenotypic MicroRNA Microarrays |
title_sort | phenotypic microrna microarrays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003479/ https://www.ncbi.nlm.nih.gov/pubmed/27605181 http://dx.doi.org/10.3390/microarrays2020063 |
work_keys_str_mv | AT kwonyongjun phenotypicmicrornamicroarrays AT heojinyeong phenotypicmicrornamicroarrays AT kimhichul phenotypicmicrornamicroarrays AT kimjinyeop phenotypicmicrornamicroarrays AT liuzzimichel phenotypicmicrornamicroarrays AT solovevaveronica phenotypicmicrornamicroarrays |