Literature DB >> 12568315

The effectiveness of double-stranded short inhibitory RNAs (siRNAs) may depend on the method of transfection.

D K Walters1, D F Jelinek.   

Abstract

RNA interference (RNAi) is a recently described powerful experimental tool that can cause sequence-specific gene silencing, thereby facilitating functional analysis of gene function. Consequently, we became interested in using RNAi to determine the function of aberrantly expressed ErbB3 in the KAS-6/1 human myeloma cell line. Despite the wealth of information available on the use of RNAi, dsRNA target design, and the transfection of dsRNA in vitro, little information is available for transfecting dsRNA into nonadherent cells from any species. In the present study, we report that gene silencing of ErbB3 was not observed in myeloma cells when dsRNA targeting ErbB3 was introduced using conventional transfection agents and protocols that have proved successful for several adherent cell lines. Silencing of ErbB3, however, was observed in T47D cells, an adherent breast carcinoma cell line, using the same transfection methods, indicating that our target sequence was functional for gene silencing of ErbB3. Interestingly, ErbB3 was silenced in myeloma cells when the dsRNA target was introduced by electroporation. Thus, our studies illustrate the striking dependence of dsRNA-mediated gene silencing in some cells on the methods of dsRNA transfection.

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Year:  2002        PMID: 12568315     DOI: 10.1089/108729002321082483

Source DB:  PubMed          Journal:  Antisense Nucleic Acid Drug Dev        ISSN: 1087-2906


  13 in total

1.  The activity of siRNA in mammalian cells is related to structural target accessibility: a comparison with antisense oligonucleotides.

Authors:  Rosel Kretschmer-Kazemi Far; Georg Sczakiel
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

2.  Efficient RNA interference depends on global context of the target sequence: quantitative analysis of silencing efficiency using Eulerian graph representation of siRNA.

Authors:  Petr Pancoska; Zdenek Moravek; Ute M Moll
Journal:  Nucleic Acids Res       Date:  2004-03-01       Impact factor: 16.971

3.  Quantitative detection of siRNA and single-stranded oligonucleotides: relationship between uptake and biological activity of siRNA.

Authors:  Marita Overhoff; Winfried Wünsche; Georg Sczakiel
Journal:  Nucleic Acids Res       Date:  2004-12-02       Impact factor: 16.971

4.  High-throughput RNAi screening in vitro: from cell lines to primary cells.

Authors:  Dmitriy Ovcharenko; Richard Jarvis; Scott Hunicke-Smith; Kevin Kelnar; David Brown
Journal:  RNA       Date:  2005-06       Impact factor: 4.942

5.  Increased expression of extracellular matrix metalloproteinase inducer (CD147) in multiple myeloma: role in regulation of myeloma cell proliferation.

Authors:  B K Arendt; D K Walters; X Wu; R C Tschumper; P M Huddleston; K J Henderson; A Dispenzieri; D F Jelinek
Journal:  Leukemia       Date:  2012-03-30       Impact factor: 11.528

6.  Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

Authors:  Kyle A McQuisten; Andrew S Peek
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

7.  Gene expression pattern and downregulation of DNA methyltransferase 1 using siRNA in porcine somatic cells.

Authors:  Angelica M Giraldo; Todd D Vaught; Limin Fu; Alison J Duncan; Amy M Vance; Michael Mendicino; David L Ayares
Journal:  Gene Expr       Date:  2009

8.  Efficient, high-throughput transfection of human embryonic stem cells.

Authors:  Jennifer C Moore; Kristin Atze; Percy L Yeung; Alana J Toro-Ramos; Cynthia Camarillo; Kevin Thompson; Christopher L Ricupero; Mark A Brenneman; Rick I Cohen; Ronald P Hart
Journal:  Stem Cell Res Ther       Date:  2010-07-26       Impact factor: 6.832

9.  Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features.

Authors:  Andrew S Peek
Journal:  BMC Bioinformatics       Date:  2007-06-06       Impact factor: 3.169

10.  Optimal Electroporation Condition for Small Interfering RNA Transfection into MDA-MB-468 Cell Line.

Authors:  Rita Arabsolghar; Mozhgan Rasti
Journal:  Iran J Med Sci       Date:  2012-09
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