Unknown,Transcriptomics,Genomics,Proteomics

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Pyknon siRNA transfection compared with empty vector

ABSTRACT: We designed siRNAs against pyk-reg-90 and pyk-reg-10 using the Dharmacon algorithm (Dharmacon siDESIGN http://www.dharmacon.com/sidesign/). Each of four highest-ranking siRNA sequences for pyk-reg-90 and pyk-reg-10 respectively was tested in our and pyk-reg-90, we used a pool of different siRNAs that included the two most effective siRNAs. The cellsperformance was assessed at 24-hr intervals until 96 hrs posttransfection by qRT-PCR. For both pyk-reg-10resuspended in 1X siRNA buffer (Dharmacon, LaFayette CO, USA) to a stock concentration of 50 ?M. Theexperiments. These siRNAs were were transfected with the corresponding siRNA pool at the final concentration of 100nM and 200nM by using Lipofectamine 2000 (Invitrogen) according to the manufacturer's protocol for further analysis. As control, we used a pool of non-targetting siRNAs (Dharmacon).

ORGANISM(S): Homo sapiens

DISEASE(S): small interference

SUBMITTER: George Calin

PROVIDER: E-MTAB-754 | 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.

Project description:Signal transducer and activator of transcription 3 (STAT3) is altered in several epithelial cancers and represents a potential therapeutic target. Here, STAT3 expression, activity and cellular functions were examined in two main histotypes of esophageal carcinomas. In situ, immunohistochemistry for STAT3 and STAT3-Tyr705 phosphorylation (P-STAT3) in esophageal squamous cell carcinomas (ESCC) and BarrettM-bM-^@M-^Ys adenocarcinomas (BAC) revealed similar STAT3 expression in ESCCs and BACs, but preferentially activated P-STAT3 in ESCCs. In vitro, strong STAT3 activation was seen by EGF-stimulation in OE21 (ESCC) cells, whilst OE33 (BAC) cells showed constitutive weak STAT3 activation. STAT3 knockdown significantly reduced cell proliferation of OE21 and OE33 cells and reduced cell migration in OE33, but not in OE21 cells. Transcriptome analysis identified STAT3-knockdown associated down-regulation of cell cycle processes and the selective down-regulation of cyclins and cyclin dependent kinaes associated genes in both OE21 and OE33 cells. Moreover, the transcriptome response showed changes in cell migration/invasion related genes that correlated with the associated phenotype measurements. This study demonstrates the importance of STAT3 expression and activation in esophageal carcinomas, whereby the extent differs between ESCCs and BACs. STAT3 knockdown significantly reduces cell proliferation in both types of esophageal cancer cells and inhibits migration in BAC cells. Thus, STAT3 may be further exploited as potential novel therapeutic target for esophageal cancers. The effect of STAT3 knock-down in OE33 and OE21 cells was calculated from three biologically independent experiments. 3x10e4 cells were seeded in triplicate in 24 well-plates and were transfected with twice 100nM STAT3 siRNA (pool of 4 STAT3 sequences, siGENOMEM-BM-.SMARTpoolM-BM-., Dharmacon RNAi Technologies, Thermo Fisher Scientific, Lafayette, USA) or SilencerM-BM-. negative siRNA control (Invitrogen/Life Technologies GmbH, Darmstadt, Germany) using 1M-BM-5l DharmaFECT (Dharmacon RNAi Technologies, Thermo Fisher Scientific, Lafayette, USA) transfection reagent for OE33 cells or siPORTTM NeoFXTM (Invitrogen/Life Technologies GmbH, Darmstadt, Germany) transfection reagent for OE21 cells. Differential gene regulation was quantified 72 hours after the first transfection by comparing separately for the OE21 and OE33 cells the STAT3 siRNA replicates and the respective cell lines containing the scrambled siRNA vector.

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Pyknon siRNA transfection compared with empty vector

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