Project description:Human ΔNp63-specific siRNA was obtained from Invitrogen (Carlsbad, CA; sense: 5′-ACAAUGCCCAGACUCAAUU-3′; antisense: 5′-AAUUGAGUCUGGGCAUUGU-3′). Scrambled sequence siRNA for the negative control was purchased from Invitrogen. Transfections were performed using Lipofectamine RNAiMAX (Invitrogen) in Opti-MEM (GIBCO) at 40 nmol/L according to the manufacturer's instructions. The culture medium was replaced at 6 h after siRNA transfection. mRNA was extracted from NHEKs transfected with ΔNp63-specific or scramble sequence siRNA at 72 h after transfection. Microarray slides were scanned using a 3D-GENE human 25k (TORAY, Tokyo, Japan) and microarray images were automatically analyzed with AROSTM, version 4.0 (Operon Biotechnologies, Tokyo, Japan).
Project description:A loss of StarPap would be predicted to result in a decrease in cellular levels of mRNAs which it polyadenylates. Moreover, if PIPKIalpha has a function relationship with StarPap, knockdown of PIPKIalpha should cause a decrease in a pool of target mRNAs which require both StarPap and PIPKIalpha for their maturation. To test this, we independently knocked down StarPap and PIPKIalpha, and performed microarray analysis of total polyadenylated mRNAs from each group. Experiment Overall Design: HEK293 cells were transfected with siRNA specific for StarPap or PIPKIalpha or control siRNA. N=3
Project description:We performed MeRIP-seq on (1) two human epidermis tissue and HaCAT (human keratinocyte cell line) cells; (2) HaCAT cell lines with or without ALKBH5 knockdown by siRNA in duplicate experiments.
Project description:Changes in the cellular transcriptome, proteome and phosphorylated proteome after knockdown of ERK5 protein in HCT116 cells using PROTACs and siRNA, respectively.
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.