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RNAi Microarray Analysis in Cultured Mammalian Cells
Author(s) -
Spyro Mousses,
Natasha J. Caplen,
Robert Cornelison,
Don Weaver,
Mark Basik,
Sampsa Hautaniemi,
Abdel G. Elkahloun,
Roberto Lotufo,
Ashish Choudary,
Edward R. Dougherty,
Ed Suh,
Olli Kallioniemi
Publication year - 2003
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.1478703
Subject(s) - rna interference , biology , gene knockdown , small interfering rna , transfection , gene silencing , functional genomics , high content screening , computational biology , microarray analysis techniques , microbiology and biotechnology , gene , cell , gene expression , genomics , genetics , rna , genome
RNA interference (RNAi) mediated by small interfering RNAs (siRNAs) is a powerful new tool for analyzing gene knockdown phenotypes in living mammalian cells. To facilitate large-scale, high-throughput functional genomics studies using RNAi, we have developed a microarray-based technology for highly parallel analysis. Specifically, siRNAs in a transfection matrix were first arrayed on glass slides, overlaid with a monolayer of adherent cells, incubated to allow reverse transfection, and assessed for the effects of gene silencing by digital image analysis at a single cell level. Validation experiments with HeLa cells stably expressing GFP showed spatially confined, sequence-specific, time- and dose-dependent inhibition of green fluorescence for those cells growing directly on microspots containing siRNA targeting the GFP sequence. Microarray-based siRNA transfections analyzed with a custom-made quantitative image analysis system produced results that were identical to those from traditional well-based transfection, quantified by flow cytometry. Finally, to integrate experimental details, image analysis, data display, and data archiving, we developed a prototype information management system for high-throughput cell-based analyses. In summary, this RNAi microarray platform, together with ongoing efforts to develop large-scale human siRNA libraries, should facilitate genomic-scale cell-based analyses of gene function.

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