Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.bbrc.2010.02.033
Title: Use of bicistronic vectors in combination with flow cytometry to screen for effective small interfering RNA target sequences
Authors: Kamio, N.
Hirai, H.
Ashihara, E.
Maekawa, T.
Imanishi, J.
Tenen, D.G. 
Keywords: Bicistronic vector
Flow cytometry
Green fluorescent protein
siRNA
Issue Date: 2010
Source: Kamio, N., Hirai, H., Ashihara, E., Maekawa, T., Imanishi, J., Tenen, D.G. (2010). Use of bicistronic vectors in combination with flow cytometry to screen for effective small interfering RNA target sequences. Biochemical and Biophysical Research Communications 393 (3) : 498-503. ScholarBank@NUS Repository. https://doi.org/10.1016/j.bbrc.2010.02.033
Abstract: The efficacy and specificity of small interfering RNAs (siRNAs) are largely dependent on the siRNA sequence. Since only empirical strategies are currently available for predicting these parameters, simple and accurate methods for evaluating siRNAs are needed. To simplify such experiments, target genes are often tagged with reporters for easier readout. Here, we used a bicistronic vector expressing a target gene and green fluorescent protein (GFP) to create a system in which the effect of an siRNA sequence was reflected in the GFP expression level. Cells were transduced with the bicistronic vector, expression vectors for siRNA and red fluorescent protein (RFP). Flow cytometric analysis of the transduced cells revealed that siRNAs for the target gene silenced GFP from the bicistronic vector, but did not silence GFP transcribed without the target gene sequence. In addition, the mean fluorescence intensities of GFP on RFP-expressing cells correlated well with the target gene mRNA and protein levels. These results suggest that this flow cytometry-based method enables us to quantitatively evaluate the efficacy and specificity of siRNAs. Because of its simplicity and effectiveness, this method will facilitate the screening of effective siRNA target sequences, even in high-throughput applications. © 2010 Elsevier Inc. All rights reserved.
Source Title: Biochemical and Biophysical Research Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/26814
ISSN: 0006291X
10902104
DOI: 10.1016/j.bbrc.2010.02.033
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

5
checked on Nov 16, 2017

Page view(s)

128
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.