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. 4 pairs of THP-1 cells either stimulated with LPS or not This submission represents transcriptome component of study.

Project description:Background: Cardiovascular diseases remain the leading cause of morbidity and mortality worldwide, most of which are caused by atherosclerosis. Discerning processes that participate in macrophage-to-foam cell formation are critical for understanding the basic mechanisms underlying atherosclerosis. To explore the molecular mechanisms of foam cell formation, the differentially expressed proteins were identified. Methods: In this paper, human monocytes, macrophage colony-stimulating factor induced macrophages, and oxidized low-density lipoprotein induced foam cells were cultured, and tandem mass tag (TMT) labeling combined with mass spectrometry (MS) were performed to find associations between foam cell transformation and proteome profiles. Results: Totally, 5146 quantifiable proteins were identified, among which 1515 and 182 differentially expressed proteins (DEPs) were found in macrophage/monocyte and foam cell/macrophage, respectively, using a cutoff of 1.5-fold change. Subcellular localization analysis revealed that downregulated DEPs of macrophages/monocytes were mostly located in the nucleus and upregulated DEPs of foam cells/macrophages mostly located in the plasma membrane and extracellular. Functional analysis of DEPs demonstrated that cholesterol metabolism related proteins were upregulated in foam cells, whereas the immune response-related proteins were downregulated in foam cells. The protein-interaction network showed that the DEPs with the highest interaction intensity between macrophages and foam cells were mainly concentrated in lysosomes and the endoplasmic reticulum. Conclusions: This study for the first time to perform quantitative proteomic investigation by TMT labeling and LC-MS/MS to identify differentially expressed proteins in human monocyte, macrophage, and foam cell. The results confirmed cholesterol metabolism was upregulated in foam cells, while immune response was suppressed, which suggested that foam cells were not the population that promote inflammation. In addition, KEGG enrichment analysis and protein-protein interaction indicated that the differentially expressed proteins locating in the endoplasmic reticulum and lysosomes may be key targets to regulate foam cell formation. These data provide a basis for identifying the potential proteins associated with the molecular mechanism involved in the transformation of macrophages to foam cells.

Project description:This SuperSeries is composed of the following subset Series: GSE21298: Profiling wt SOD versus ALS SOD1(G93A) mutant GSE21305: Profiling neuroblastoma SH-SY5Y with Paraquat treatment Mitochondrial dysfunction has been directly or indirectly implicated in the pathogenesis of a number of neurodegenerative disorders including Parkinson's disease, Alzheimer's disease and Amyotrophic Lateral Sclerosis (ALS). We used exon-sentive microarrays to characterize the responses to different mitochondrial perturbations in cellular models. We examined human SH-SY5Y neuroblastoma cells treated with paraquat, a neurotoxic herbicide which both catalyzes the formation of reactive oxygen species (ROS) and induces mitochondrial damage in animal models, and SH-SY5Y cells stably expressing the mutant SOD1(G93A) protein, one of the genetic causes of ALS. We identified a common set of genes that have a deregulated transcription and alternative splicing in both models. Noticeably, pathway analysis revealed that the expression of a subset of genes involved in neuritogenesis and axon guidance is perturbed, suggesting that alterations of axonal function may descend directly from mitochondrial damage and be responsible for neurodegenerative conditions. Paraquat treatment on cell lines derived from human neuroblastoma SH-SY5Y and the same cell line stably transfected with cDNAs coding for wild type SOD1 or ALS mutant SOD1 G93A was carried out as described in (Maracchioni et al. J Neurochem 2007, 100, 142-153). Human neuroblastoma SH-SY5Y untransfected or stably transfected with cDNAs coding for wild type SOD1 or the mutant SOD1(G93A) , were cultured in D-MEM/F-12 media with GlutaMAX™ (Gibco, Invitrogen, UK), 10% FBS, 100 Units/ml penicillin G, 100µg/ml streptomycin/ penicillin (Euroclone, Milano, Italy). Stably transfected cells were also maintained in the presence of 400µg/ml Geneticin (G418 sulphate, Euroclone). Cells were fed every 2–3 days and passed once a week. For the microarray experiment, after an initial amplification of each cell type [(SH-SY5Y; SOD1(WT), SOD1(G93A)], cells were aliquoted and cryopreservated in liquid nitrogen. For every experiment an aliquot of each cell line was thawed and seeded. After having reached confluence, cells were reseeded at 3x106cells in 100mm dish. Paraquat (N,N’-dimethyl-4,4’-bipyridinium dichloride, Sigma-Aldrich) treatment was carried out as described in (Maracchioni et al. J Neurochem 2007, 100, 142-153). Total RNA was extracted using TRIzol® Reagent (Invitrogen), and subsequently purified using silica membrane spin columns from RNeasy Mini kit (Qiagen). RNA quantity and purity were assessed using a NanoDrop® instrument (Thermo Fisher Scientific Inc.). Total RNA integrity was assessed by using a 2100 Bioanalyzer (Agilent Technologies) and the RNA Integrity Number (RIN) was calculated. Each condition was replicated 5 times. After extraction and quality check 1.5 µg of total RNA was subjected to removal of ribosomal RNA following the procedure suggested by the manufacturer (Affymetrix). The resulting total RNA was then used to created the biotin-labeled library to be hybridized on GeneChip® Exon 1.0 ST human microarrays following the procedure described by the manufacturer (Affymetrix). The CEL files resulting from the hybridization were analyzed using oneChannelGUI 1.6.5 (Sanges et al. Bioinformatics 2007, 23, 3406-3408). Exon and gene-level probeset summarization was done by mean of RMA and sketch quantile normalization. Gene-level differential expression: to assess differential expression at gene-level, we used an empirical Bayes method together with a false discovery rate (FDR) correction of the p-value Thus, the list of differentially expressed genes was generated using an FDR ≤ 0.05 together with an absolute log2(fold-change) threshold of 1. Exon-level analysis: an intensity filter was subsequently applied at gene-level to remove not expressed and low expressed genes, i.e. genes were retained for exon-level analysis if in all biological replication gene-level signal was greater than 5. Subsequently, only genes characterized to have at least two RNA isoforms annotated in Ensembl database were retained for further analysis. The Splicing Index value was calculated by taking the log2 ratio of the normalized exon intensity (NI) in Sample 1 and the NI in Sample 2. The normalized exon intensity (NI) is the ratio of the probe set intensity to the gene intensity. Alternative splicing events (ASEs) were detected as described in (Della Beffa et al. BMC Genomics 2008, 9, 571).

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Transcriptome-wide regulation of pre-mRNA splicing and expression by the RNA-binding protein Quaking during monocyte to macrophage differentiation

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