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Article Dans Une Revue Journal of Biomolecular Screening Année : 2009

Automated high-throughput siRNA transfection in raw 264.7 macrophages: a case study for optimization procedure.

Résumé

RNAi using siRNA is a very powerful tool for functional genomics to identify new drug targets and biological pathways. Although their use in epithelial cells is relatively easy and straightforward, transfection in other cell types is still challenging. The authors report the optimization of transfection conditions for Raw 267.4 macrophage cells. The herein described procedure makes use of automated confocal microscopy, enhanced green fluorescent protein (EGFP)-expressing macrophages, and fluorescently labeled siRNAs to simultaneously quantify both siRNA uptake and silencing efficiency. A comparison of 10 commercial transfectants was performed, leading to the selection of the transfectant giving the highest reproducible knock-down effect without inducing cell toxicity or cell activation. Several buffers used for siRNA/lipid complex assembly were tested, and such a study revealed the crucial importance of this parameter. In addition, a kinetics study led to the determination of the optimal siRNA concentration and the best time window for the assay. In an original approach aimed at simultaneously optimizing both the high-throughput screening process and biological factors, optimal reagent volumes and a process flowchart were defined to ensure robust silencing efficiencies during screening. Such an account should pave the way for future genome-wide RNAi research in macrophages and present an optimization procedure for other "hard-totransfect" cell lines.

Domaines

Virologie
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Dates et versions

pasteur-00683854 , version 1 (30-03-2012)

Identifiants

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Jean-Philippe Carralot, Tae-Kyu Kim, Boris Lenseigne, Annette S Boese, Peter Sommer, et al.. Automated high-throughput siRNA transfection in raw 264.7 macrophages: a case study for optimization procedure.. Journal of Biomolecular Screening, 2009, 14 (2), pp.151-60. ⟨10.1177/1087057108328762⟩. ⟨pasteur-00683854⟩

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