Project description:This SuperSeries is composed of the following subset Series: GSE32141: Expression analysis LPS stimulated THP-1 cells in four paired samples GSE32324: ChIP-seq analysis LPS stimulated THP-1 cells Refer to individual Series
Project description:The genome-wide analysis of the binding sites of the transcription factor vitamin D receptor (VDR) is essential for a global appreciation the physiological impact of the nuclear hormone 1M-NM-1,25-dihydroxyvitamin D3 (1,25(OH)2D3). Genome-wide analysis of lipopolysaccharide (LPS)-polarized THP-1 human monocytic leukemia cells via chromatin immunoprecipitation (ChIP) coupled with massive parallel sequencing (ChIP-seq) resulted in 1,318 high-confidence VDR binding sites, of which 789 and 364 occurred uniquely with and without 1,25(OH)2D3 stimulation, while only 165 were common. We re-analyzed five public VDR ChIP-seq datasets with identical peak calling settings (MACS, version 2) and found in total 23,409 non-overlapping VDR binding sites, 75% of which are unique within the six analyzed cellular models. LPS-differentiated THP-1 cells have 22% more genomic VDR locations than undifferentiated cells and both cell types display more overlap in their VDR locations than the other investigated cell types. In general, the intersection of VDR binding profiles of ligand-stimulated cells is higher than those of unstimulated cells. De novo binding site searches and DR3-type binding site screening using HOMER of the six VDR ChIP-seq datasets suggest that DR3 sites are strongly associated with the ligand-responsiveness of VDR occupation. Importantly, all VDR ChIP-seq datasets display the same relationship between the VDR occupancy and the percentage of DR3-type sequences below the peak summits. The comparative analysis of six VDR ChIP-seq datasets demonstrated that the mechanistic basis for the action of the VDR is independent of the cell type. Only the minority of genome-wide VDR binding sites contains a DR3-type sequence. Moreover, the total number of identified VDR binding sites in each ligand-stimulated cell line inversely correlates with the percentage of peak summits with DR3 sites. Systematic reanalysis of 5 published VDR ChIP-seq datasets together with a new dataset from 24 h LPS-treated THP-1 cells at the unstimulated state and after 80 min ligand (10 nM 1M-NM-1,25(OH)2D3 (1,25D, calcitriol)) treatment. See GSM1280896 and GSM1280896 Sample records for data processing information. GSE53041_README.txt has additional details.
Project description:CD14+ Monocytes from healthy volunteers were purified by MACS (negative selection) and FACSorting and either left untreated or stimulated for 24h and 48h with LPS. THP-1 cells were stimulated for 4h, 24h and 48h with LPS. Glycoproteins were captured with hydrazide chemistry and tryptic and PNGase F-released peptide fractions analyzed by MS/MS. Quantitative assessment revealed differential glycoprotein expression in activated/LPS-tolerized monocytes and naïve monocytes and THP-1 cells.
Project description:THP-1 macrophages were treated with EVs and stimulated with LPS, and then total RNA was extracted from cells. Extracted total RNAs were investigated by microarray analysis. Increase and decrease of mRNA expression were investigated between EV-treated and non-treated THP-1 macrophages.
Project description:Macrophages play a critical role in innate immunity, and the expression of early response genes orchestrate much of the initial response of the immune system. Macrophages undergo extensive transcriptional reprogramming in response to inflammatory stimuli such as Lipopolysaccharide (LPS). To identify gene transcription regulation patterns involved in early innate immune responses, we used two genome-wide approaches - gene expression profiling and chromatin immunoprecipitation-sequencing (ChIP-seq) analysis. We examined the effect of 2 hrs LPS stimulation on early gene expression and its relation to chromatin remodeling (H3 acetylation; H3Ac) and promoter binding of Sp1 and RNA polymerase II phosphorylated at serine 5 (S5P RNAPII), which is a marker for transcriptional initiation. Our results indicate novel and alternative gene regulatory mechanisms for certain proinflammatory genes. We identified two groups of up-regulated inflammatory genes with respect to chromatin modification and promoter features. One group, including highly up-regulated genes such as tumor necrosis factor (TNF), was characterized by H3Ac, high CpG content and lack of TATA boxes. The second group, containing inflammatory mediators (interleukins and CCL chemokines), was up-regulated upon LPS stimulation despite lacking H3Ac in their annotated promoters, which were low in CpG content but did contain TATA boxes. Genome-wide analysis showed that few H3Ac peaks were unique to either +/-LPS condition. However, within these, an unpacking/expansion of already existing H3Ac peaks was observed upon LPS stimulation. In contrast, a significant proportion of S5P RNAPII peaks (approx 40%) was unique to either condition. Furthermore, data indicated a large portion of previously unannotated TSSs, particularly in LPS-stimulated macrophages, where only 28% of unique S5P RNAPII peaks overlap annotated promoters. The regulation of the inflammatory response appears to occur in a very specific manner at the chromatin level for specific genes and this study highlights the level of fine-tuning that occurs in the immune response. 2 pairs of THP-1 cells either stimulated with LPS or not. ChIP using either H3K9/K14Ac, RNA Pol II (phospho S5) or SP1 antibody. This submission represents chip-seq component of study.
Project description:RNA-seq dataset of TRAFD1 knockdown in THP-1 cell lines compared to THP1 cell lines treated with non targeting siRNA (SCR) and untreated cells (WT), under unstimulated and stimulated (LPS) conditions.
Project description:LPS activated THP-1 macrophages were stimulated with Fh-ES followed by analyses of miRNA expression change. The analyses showed no change of miRNA expression change (p<0.05, FDR correction).
Project description:THP-1 cells were treated with vehicle control (0.1% ethanol/PBS), LPS and LPS+Dex for 3 hr. We then performed combined analysis of ribosome footprints (RPF) and mRNA abundance using the data obtained by Ribo-Seq and RNA-seq in THP-1 cells.