Unknown,Transcriptomics,Genomics,Proteomics

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SiPools: highly complex but accurately defined siRNA pools eliminate Off-target effects (HuGene-1_0 ENST)

ABSTRACT: Short interfering RNAs (siRNA) are widely used as tool for gene inactivation in basic research and therapeutic applications. One of the major shortcomings of siRNA experiments are sequence-specific Off-target effects. Such effects are largely unpredictable because siRNAs can affect partially complementary sequences and function like microRNAs (miRNAs), which inhibit gene expression on mRNA stability or translational levels. Here we demonstrate that novel, enzymatically generated siRNA pools - referred to as siPools - containing up to 60 accurately defined siRNAs eliminate Off-target effects. This is achieved by the low concentration of each individual siRNA diluting sequence-specific Off-target effects below detection limits. In fact, whole transcriptome analyses reveal that single siRNA transfections can severely affect global gene expression. However, when complex siRNA pools are transfected, almost no transcriptome alterations are observed. Taken together, we present enzymatically-produced complex but accurately defined siRNA pools with potent On-target silencing but without detectable Off-target effects. To demonstrate the reduction of Off-target gene deregulation by use of complex siRNA pools (siPools), a single siRNA targeting human SCYL1 was transfected alone or in combination with 14 or 59 other siRNAs at a total siRNA concentration of 3 nM in human Hela cells. Mock transfected cells served as negative control. Every sample was tested in biological triplicates. Total RNA was extract 48h after transfection for affimetrix expression analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: Julia Engelmann

PROVIDER: E-GEOD-57667 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:IL-33 is a nuclear cytokine from the IL-1 family that plays important roles in health and disease. Under healthy conditions, IL-33 is constitutively expressed to high levels in the nucleus of producing cells in various human and mouse tissues. The extracellular function of IL-33 cytokine has been well documented, but it remains unclear whether intracellular nuclear IL-33 has additional functions in the nucleus. Here, we used a global proteomic approach based on quantification of 5000 individual proteins by high-resolution mass spectrometry to compare the extracellular and intracellular roles of IL-33 in primary human endothelial cells, a major source of IL-33 protein in human tissues. Large-scale analysis of protein expression was performed either after stimulation of the cells with the IL-33 mature form IL-3395-270 (during 6h or 24h) or after siRNA knockdown of intracellular IL-33 (two experiments, each with a different pool of distinct siRNAs, noted siRNA1 and siRNA2). In each case, proteins were fractionated by 1D SDS-PAGE in 12 gel bands, and label-free quantitative analysis was performed. The present dataset contains the files for the two experiments of knockdown of endogenous nuclear IL-33 expression: - RNA silencing strategy 1. Knockdown of endogenous nuclear IL-33 expression was performed with a pool of four distinct siRNAs (Dharmacon ON-TARGETplus SMARTpool IL-33 siRNAs) that have been specifically modified for efficient silencing of the target gene with reduced off-target effects. Cells transfected with these siRNA duplexes (si1) were compared with those transfected with the provided controls (CTsi1). Three independent biological replicates (noted _A, _B, _C) were prepared and analyzed for each condition, leading to 6 different samples. Each of them was fractionated into 12 gel bands analyzed by nanoLC-MS/MS, leading to 72 raw files. - RNA silencing strategy 2. The second knockdown strategy was based on the use of an independent pool of three siRNAs targeting IL-33, predesigned by another provider using new and critical siRNA design rules (Sigma MISSION Predesigned Il-33 siRNAs based on Rosetta siRNA design algorithm). Cells transfected with these siRNA duplexes (si2) were compared with those transfected with the provided controls (CTsi2). Three independent biological replicates (noted _A, _B, _C) were prepared and analyzed for each condition, leading to 6 different samples. Each of them was fractionated into 12 gel bands analyzed by nanoLC-MS/MS, leading to 72 raw files.

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SiPools: highly complex but accurately defined siRNA pools eliminate Off-target effects (HuGene-1_0 ENST)

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