Project description:THP-1 macrophages were treated with acLDL to load with cholesterol THP-1 macrophages were treated with statin to deplete cholesterol
Project description:To further study the transcriptome of THP-1 human monocytes after exposure to S-Nitrosoglutathione (GSNO), we investigate whole genome microarray expression to identify genes regulated by exposure or not to GSNO. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 50 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of GSNO-loaded ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 200 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 200 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 24 h to 50 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of GSNO-loaded ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 24 h to 50 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 50 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 200 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 200 ug / mL of GSNO-loaded ENP.
Project description:To further study the transcriptome of THP-1 human monocytes after exposure to S-Nitrosoglutathione (GSNO), we investigate whole genome microarray expression to identify genes regulated by exposure or not to GSNO. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 50 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of GSNO-loaded ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 200 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 200 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 24 h to 50 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of GSNO-loaded ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 24 h to 50 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 50 ug / mL of empty polymeric Eudragit RL nanoparticles (empty ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 50 ug / mL of empty ENP. To further study the transcriptome of THP-1 human monocytes after exposure for 4 h to 200 ug / mL of S-Nitrosoglutathione-loaded polymeric Eudragit RL nanoparticles (GSNO-loaded ENP), we investigate whole genome microarray expression to identify genes regulated by exposure or not to 200 ug / mL of GSNO-loaded ENP. Changes in gene expression in THP-1 cells incubated without (control) or with 50 uM GSNO for 4 h, were measured. Five biological replicates were performed as controls: F_01; F_07; F_13; S_01; S_02. Four biological replicates were performed in GSNO exposed cells: S_13; S_14; S_15; S_16. Changes in gene expression in THP-1 cells incubated without (control) or with 50 ug / mL of GSNO-loaded ENPs (300 nm) for 4 h were measured. Five biological replicates were performed as controls: F_01; F_07; F_13; S_01; S_02. Three biological replicates were performed in 50 ug / mL of GSNO-loaded ENP exposed cells: S_06; S_07; S_08. Changes in gene expression in THP-1 cells incubated without (control) or with 200 ug / mL of empty ENPs (300 nm) for 4 h were measured. Five biological replicates were performed as controls: F_01; F_07; F_13; S_01; S_02. Three biological replicates were performed in 200 ug / mL of empty ENP exposed cells: S_17; S_19; S_20. Changes in gene expression in THP-1 cells incubated without (control) or with 50 ug / mL of GSNO-loaded ENPs (300 nm) for 24 h were measured. Five biological replicates were performed as controls: F_04; F_10; F_16; S_03; S_04. Four biological replicates were performed in 50 ug / mL of GSNO-loaded ENP exposed cells: S_09; S_10; S_11; S_12. Changes in gene expression in THP-1 cells incubated without (control) or with 50 ug / mL of empty ENPs (300 nm) for 24 h were measured. Five biological replicates were performed as controls: F_04; F_10; F_16; S_03; S_04. Three biological replicates were performed in 50 ug / mL of empty ENP exposed cells: F_05; F_11; F_17. Changes in gene expression in THP-1 cells incubated without (control) or with 50 ug / mL of empty ENPs (300 nm) for 4 h were measured. Five biological replicates were performed as controls: F_01; F_07; F_13; S_01; S_02. Three biological replicates were performed in 50 ug / mL of empty ENP exposed cells: F_02; F_08; F_14. Changes in gene expression in THP-1 cells incubated without (control) or with 200 ug / mL of GSNO-loaded ENPs (300 nm) for 4 h were measured. Five biological replicates were performed as controls: F_01; F_07; F_13; S_01; S_02. Four biological replicates were performed in 200 ug / mL of GSNO-loaded ENP exposed cells: S_21; S_22; S_23; S_24.
Project description:By identifying differentially expressed LncRNAs/mRNAs in THP-1 macrophages and THP-1 macrophage-derived foam cells, we select some differentially expressed LncRNAs and explore their roles in atherosclerosis process. We already find that some LncRNA can effect cholesterol metabolism and level of inflammation factor, which may influence atherosclerosis process.
Project description:By identifying differentially expressed LncRNAs/mRNAs in THP-1 macrophages and THP-1 macrophage-derived foam cells, we select some differentially expressed LncRNAs and explore their roles in atherosclerosis process. We already find that some LncRNA can effect cholesterol metabolism and level of inflammation factor, which may influence atherosclerosis process. In the study presented here, 6 human samples were used to acquire expression profiles, which provide futher insight into the pathologies of atherosclerosis
Project description:Lipid rafts are cholesterol-rich cell signaling platforms and their physiological role can be explored by cholesterol depletion. To dress a global picture of transcriptional changes ongoing after lipid raft disruption, we performed whole-genome expression profiling in epidermal keratinocytes, a cell type which synthesizes its cholesterol in situ. We used microarrays to identify transcriptional changes in gene expression of cholesterol-depleted keratinocytes. Cholesterol depletion by methyl-beta-cyclodextrin disrupts the organization of lipid rafts, which are cholesterol- and sphingolipid-rich membrane microdomains. Transcript levels were measured in autocrine confluent cultures of normal human epidermal keratinocytes were either left untreated (Ctrl), cholesterol-depleted for 1h with 7.5mM methyl-beta-cyclodextrin (MBCD), or mock cholesterol-depleted for 1h with 7.5mM cholesterol-charged methyl-beta-cyclodextrin complexes (MBCD/chol) (Mock cholesterol depletion is a suppementary negative control as this treatment does not extract cholesterol from cell membranes). Samples are analysed either immediately after the treatment (R0h) or after recovery times of 1h (R1h) respectively 8h (R8h). in total 9 samples are analysed and no replicates are performed.
Project description:Levels of membrane-associated cholesterol were shown to be increased in the brain of individuals with sporadic AlzheimerM-bM-^@M-^Ys disease (AD) and correlated with the severity of the disease. We previously found that heavy membrane cholesterol burden promotes amyloid precursor protein (APP) endocytosis and processing, leading to increased amyloid-M-oM-^AM-"M-oM-^@M- M-oM-^@M-(AM-oM-^AM-") secretion. We hypothesized that such an increase of cholesterol could trigger sporadic AD. We thus acutely loaded the plasma membrane of neurons in culture with cholesterol to reach the 30 % increase observed in AD brains. We showed by multiplex electro-chemiluminescence immuno-assay that transient membrane cholesterol loading produced a significant increase of AM-oM-^AM-"42 secretion. We also found that early endosomes were enlarged and more prone to aggregation using confocal and electron microscopy and that APP vesicular transport in neuronal processes was slowed down using fluorescence live-imaging. In addition, treatment of neurons with cholesterol induced changes in gene expression profile that are reminiscent of early AD. This model of membrane cholesterol increase in cultured neurons reproduces most of early AD changes and could thus be relevant for deciphering early mechanisms and design new targets for sporadic AD. In this study, we loaded the plasma membrane of neurons with 30% more cholesterol and observed the effects on gene expression. We compared gene expression of primary hippocampal neurons treated or not with cholesterol using 4 independant replicates in each group.
Project description:In this study, murine primary aortic smooth muscle cells (SMCs) were transcriptionally profiled at baseline, after 3 d of cholesterol loading, and after 3 d of subsequent cholesterol unloading with HDL treatment, to identify vascular SMC genes that are transcripionally dysregulated in response to cholesterol loading and/or unloading. Mouse aortic SMCs were isolated from thoracic aortas of 8 week-old C57BL/6 mice (as described in Rong et al., Proc Nat Acad Sci USA, v100, pp13531M-bM-^@M-^S13536, 2003) and subconfluent cell preparations were harvested and transcriptionally profiled (baseline group) or treated with 10 M-NM-<g/mL cholesterol:methyl-M-NM-2-cyclodextrin complex (1:6 molar ratio) for 72 h for cholesterol loading. Of the cholesterol-loaded cells, samples were transcriptionally profiled (cholesterol samples) or treated for an additional 72 h with 100 M-NM-<g/mL human HDL and then transcriptionally profiled (HDL treatment). For all transcriptional profiling, RNA was isolated from cells using TRIzol, and labeled aRNA was prepared for hybridization to Affymetrix Mouse Genome 430 2.0 microarrays according to the manufacturer's protocol. Probe-level intensities were background-adjusted and normalized (in two separate analyses, one with baseline and cholesterol-treated samples, and the other analysis with all three sample groups) using Robust Multichip Average and combined into probesets using probe-to-probeset mappings from the University of Michigan CustomCDF project based on Ensembl Gene identifiers (release 59). Using the data from the analysis that combined the baseline and cholesterol-loaded samples, log2 probeset intensities were compared the between baseline and cholesterol sample groups using a one-way ANOVA with a P value cutoff determined by a Benjamini-Hochberg false discovery rate threshold of 0.05. Analysis (I): baseline and cholesterol-treated sample groups. Analysis (II): all three sample groups.
Project description:Expression profiling of LY6E-silent THP-1 cells (THP-1-shLY6E) and control cells (THP-1-shCtrl). Results provide evidence that LY6E is effectively knocked down in THP-1shLY6E, compared to THP-1-shCtrl, and show the different expressed genes following LY6E silence in THP-1 cells.