Expression data from peritoneal macrophages stimulated with lipid A
ABSTRACT: Setdb1 is one of the H3K9 methyltransferases and represses gene expression by H3K9 methylation. In an attempt to elucidate the role of Setdb1 in the TLR4-mediated inflammatory responses, we performed DNA microarray analysis using lipid A (the active component of LPS)-stimulated peritoneal macrophages from macrophage specific Setdb1 KO (KO) and WT mice. The genes upregulated by lipid A treatment in WT macrophages and further increased in KO macrophages contain many genes associated with interleukins and chemokines. Peritoneal macrophages from WT and KO mice were stimulated with lipid A 10 ng/ml or vehicle for 4 h. Microarray analysis was performed using Affymetrix Mouse 430 2.0.
Project description:Macrophage-inducible C-type lectin (Mincle, Clec4e) is a pathogen sensor that recognizes pathogenic fungi and Mycobactrium tuberculosis. We perfomed microarray analysis using peritoneal macrophages stimulated with TDM, a mycobacterial cell wall glycolipid that is known to be a Mincle ligand. Many chemokine and cytokine genes were upregulated in wildtype macrophages stimulated with TDM. Upregulation of these genes were completely abolishd in Mincle KO macrophages. Peritoneal macrophages from WT and Mincle KO mice were stimulated with TDM or vehicle for 24 h (3 samples each). Microarray analysis was performed using Affymetrix Mouse 430 2.0.
Project description:PPARg is a nuclear receptor that plays an important role in lipid metabolism, homeostasis and immunity. Microarray analysis of gene expression was performed in macrophages from WT and PPARg KO mice. Differentially expressed genes were selected for further analysis. RNA from WT and PPARg KO macrophages was purified for hybridization on Affymetrix microarrays. Peritoneal macrophages were harvest from WT and PPARg KO mice 3 days after intraperitoneal injection of 2.5ml of 3% thioglycollate.
Project description:PPARg is a nuclear receptor that plays an important role in lipid metabolism, homeostasis and immunity. Microarray analysis of gene expression was performed in macrophages from WT and PPARg KO mice. Differentially expressed genes were selected for further analysis. Overall design: RNA from WT and PPARg KO macrophages was purified for hybridization on Affymetrix microarrays. Peritoneal macrophages were harvest from WT and PPARg KO mice 3 days after intraperitoneal injection of 2.5ml of 3% thioglycollate.
Project description:The gene expression profiles were compared between C57BL/6 WT and CD14 knockout mice using microarray analysis after stimulating peritoneal cells with necrotic fibroblasts. Keywords: stimulus or stress design Overall design: Two samples were from peritoneal macrophages isolated from C57BL/6 WT mice, one stimulated with necrotic fibroblasts and one untreated control. Two samples were from peritoneal macrophages isolated from C57BL/6 CD14 knockout mice, one stimulated with necrotic fibroblasts and one untreated control. Technical replicates were performed.
Project description:To investigate the relationship between hypercholesterolemia, foam cell formation and inflammation, we performed lipidomic and transcriptomic analyses of elicited peritoneal macrophages in wild type (WT) or LDL receptor knockout (LDLR KO) mice fed either a normal cholesterol, normal fat (NCNF) diet or a high cholesterol, high fat (HCHF) 'Western' style diet. The combination of the LDLR KO genotype and the HCHF diet results in the formation of macrophage foam cells in the elicited peritoneal macrophage population. Analysis of macrophages from the above four experimental groups revealed massive reprogramming of the lipidome in response to both diet and genotype. These studies confirmed and extended prior knowledge regarding the roles of SREBP and LXR signaling in cholesterol and fatty acid homeostasis. Unexpectedly, peritoneal macrophage foam cells exhibited a strongly 'deactivated' phenotype, with marked suppression of pro-inflammatory mediators that are normally characteristic of the inflammatory responses associated with atherosclerotic lesions. Many of these changes in gene expression and lipid metabolism appear to be related to the paradoxical accumulation of high levels of desmosterol, the last intermediate in the Bloch pathway of cholesterol biosynthesis. WT or LDLR KO mice were fed either a NCNF diet or a HCHF diet for twelve weeks to establish four experimental groups (WT-NCNF diet, WT-HCHF diet, KO-NCNF diet, and KO-HCHF diet). As expected, the combination of the HCHF diet and LDLR KO genotype resulted in a synergistic effect on serum lipid levels. Elicited peritoneal macrophages (92-96% F4/80-positive) were immediately prepared for analysis, thereby preserving in vivo gene expression and lipid profiles. Macrophages derived from LDLR KO mice fed the HCHF diet contained nearly four-fold more total cholesterol than cells from WT mice fed the same diet. Quantitative analysis of 245 lipid species revealed significant changes in nearly all major lipid classes. Using a two-way ANOVA model, we found that 176 (72%) of the lipids analyzed were significantly affected by the HCHF diet, 133 (54%) by the LDLR KO genotype, and 114 (46%) by interactions between the HCHF diet and LDLR KO genotype. Many of the observed interactions (60%) were synergistic.
Project description:A new actor of HCMV latency is unveiled, where KAP1 protein binds to viral genome to recruit SetDB1 and trigger H3K9 trimethylation. A switch of phosphorylation state mediated by mTOR leads to lytic replication, opening new approaches to curtail CMV infection but also to purge the virus from organ transplants. Overall design: Analyses of transcriptional profiles and chromatin state in KAP1 WT and KO (or KD) cells
Project description:Transcription of endogenous retroviruses (ERVs) is inhibited by de novo DNA methylation during gametogenesis, a process initiated after birth in oocytes and at ~E15.5 in prospermatogonia. Earlier in germline development however, the genome, including most retrotransposons, is progressively demethylated, with young ERVK and ERV1 elements retaining intermediate methylation levels. As DNA methylation reaches a low point in E13.5 primordial germ cells (PGCs) of both sexes, we determined whether retrotransposons are marked by H3K9me3 and H3K27me3 using a recently developed low input ChIP-seq method. Although these repressive histone modifications are predominantly found on distinct genomic regions in E13.5 PGCs, they concurrently mark partially methylated LTRs and LINE1 elements. Germline-specific conditional knock-out (KO) of the H3K9 methyltransferase SETDB1 yields a decrease of both histone marks and DNA methylation at H3K9me3 enriched retrotransposon families. Strikingly, Setdb1-KO E13.5 PGCs show concomitant de-repression of many marked ERVs, including IAP, ETn and ERVK10C elements and ERV-proximal genes, a subset in a sex-dependent manner. Furthermore, Setdb1 deficiency is associated with a reduced number of male PGCs and postnatal hypogonadism in both sexes. Taken together, these observations reveal that SETDB1 is an essential guardian against proviral expression prior to the onset of de novo DNA methylation in the germline. H3K9me3, H3K27me3 and expression profiles in Setdb1 WT, Het and KO male and female E13.5 PGCs.
Project description:RNA-seq was performed on sorted peritoneal tissue resident macrophages (CD11b+F4/80hiTIM4+) and monocytic macrophages (CD11b+F4/80loTIM4-) from IL-4c (recombinant IL-4 (5µg) and anti-IL-4 ab (12.5µg) IP injection on days 0 and 2 and sorted on day 4) treated 6-8wks old LySM Cre+ and LysM Cre+ RICTOR KO (C57BL/6 background) for expression profiling Overall design: Expression profiling by high throughput sequencing (Illumina NextSeq 500 V2 - PE 150 Cycle) on sorted peritoneal macrophages from WT and LysM RICTOR KO
Project description:Investigation of whole genome gene expression level changes in COMP KO macrophages compared with WT macrophages. Overall design: A two-chip study used mRNA extracted from peritoneal macrophages pooled from 6 WT and COMP KO mice individually. In each array, 44,170 genes were probed. To identify differentially expressed genes, we performed a Fold Change filtering between the two compared arrays. The threshold is Fold Change >= 2.0.