Dataset Information

Proteomic characterization of calcium macrophages

ABSTRACT: In this study, macrophages, which differentiated from monocytes due to exposure to calcium and no further growth factors, were characterized. For this purpose, their proteomic profile was compared to monocytes, M1 macrophages, M2 macrophages, DCs, and foam cells obtained from healthy donors or patients with rheumatoid arthritis (RA).

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood, Macrophage

DISEASE(S): Rheumatoid Arthritis

SUBMITTER: Isabel Karkossa

LAB HEAD: Kristin Schubert

PROVIDER: PXD026888 | Pride | 2022-02-17

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	20200503_Uniprot_HomoSapiens_Refset.fasta	Fasta
	20201208_Uniprot_BosTaurus_Refset.fasta	Fasta
	CorrectionFactorsTMT.pdf	Pdf
	ExperimentalDesign.xlsx	Xlsx
	Sample1_f1.raw	Raw

Items per page:

1 - 5 of 31

Publications

Danger signal extracellular calcium initiates differentiation of monocytes into SPP1/osteopontin-producing macrophages.

Murthy Supriya S Karkossa Isabel I Schmidt Caroline C Hoffmann Anne A Hagemann Tobias T Rothe Kathrin K Seifert Olga O Anderegg Ulf U von Bergen Martin M Schubert Kristin K Rossol Manuela M

Cell death & disease 20220112 1

The danger signal extracellular calcium is pathophysiologically increased in the synovial fluid of patients with rheumatoid arthritis (RA). Calcium activates the NLRP3-inflammasome via the calcium-sensing receptor in monocytes/macrophages primed by lipopolysaccharide, and this effect is mediated by the uptake of calciprotein particles (CPPs) formed out of calcium, phosphate, and fetuin-A. Aim of the study was to unravel the influence of calcium on monocytes when the priming signal is not present ...[more]

PMID: 35022393

Similar Datasets

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:Foam cell formation from monocyte-derived macrophages is a hallmark of atheroscle-rotic lesions. Aspects of this process can be recapitulated in vitro by exposing MCSF-induced or platelet factor4 (CXCL4)-induced macrophages to oxidized (ox) or minimally modified (mm) low density lipoprotein (LDL). We measured gene expression in periph-eral blood mononuclear cells (PBMCs), monocytes and macrophages treated with CXCL1 (GRO-Î±) or CCL2 (MCP-1) as well as foam cells induced by native LDL, mmLDL or oxLDL using 22 Affymetrix gene chips. Using an advanced Bayesian error-pooling approach and a heterogeneous error model (HEM) with a false discovery rate (FDR) <0.05, we found 5,303 of 22,215 probe sets to be significantly regulated in at least one of the conditions. Among a subset of 917 candidate genes that were preselected for their known biological functions in macrophage foamcell differentiation, we found that 290 genes met the above statistical criteria for significant differential expression patterns. While many expected genes were found to be upregulated by LDL and oxLDL, very few were induced by mmLDL. We also found induction of unexpected genes, most strikingly MHC-II and other dendritic cell markers such as CD11c. The gene expression patterns in response to oxLDL were similar in MCSF-induced and CXCL4-induced macrophages. Our findings suggest that LDL and oxLDL, but not mmLDL, induce a dendritic cell-like phenotype in macrophages, suggesting that these cells may be able to present antigens and support an immune response. Experiment Overall Design: Human blood was drawn from the antecubital veins of healthy blood donors and provided as buffy coats by the Virginia Blood Services (Richmond, VA). The mononuclear fractions were pooled from four unidentified donors to decrease individual variations in monocytes. Mixed peripheral blood mononuclear cells (PBMCs) were isolated by Histopaque 1.077 (Sigma Diagnostics, Inc., St. Louis, MO). Following centrifugation, the mononuclear layer was removed and washed with PBS containing 0.02% ethylenediaminetetraacetate (EDTA). The pellet was resuspended in 1X H-lyse Buffer (R&D Systems Inc., Minneapolis, MN), and washed with wash buffer. PBMCs contain mainly monocytes and lymphocytes as well as platelets that tend to be associated with blood monocytes. From these PBMCs, monocytes were isolated using a negative selection monocyte isolation kit and LS columns (Miltenyi Biotec, Bergisch Gladbach, Germany). The purity of the isolated fraction was > 97% as estimated by flow cytometry using anti-CD14 (data not shown). Although these cells are often called âuntouchedâ monocytes and thought to show little activation, the gene chip analysis conducted on these cells shows massive changes in gene expression compared to PBMCs (see below). Experiment Overall Design: Monocytes were cultured in Macrophage Serum-Free Medium (MSFM, Invitro-gen, Carlsbad, CA) in the presence of 1% media supplement nutridoma-HU (Roche Molecular Biochemicals, Indianapolis, IN) and 100 nM M-CSF for 6 days, after which the cells showed the expected morphological signs of macrophage differentiation. These macrophages were incubated either with 100 nM CCL2 or CXCL1 for 5 hours. CXCL1 was selected because we have previously found that it is an important arrest chemokine for monocytes in vitro and in atherosclerotic arteries in vivo. CCL2 was chosen because mice lacking CCL2 or its receptor CCR2 are relatively resistant to atherosclerosis, suggesting a role in macrophage recruitment, differentiation and/or survival. Human monocyte-derived macrophages (MDM) were also incubated with native LDL, oxidized LDL (oxLDL) or minimally modified LDL (mmLDL) (each at a concentration of 100 ug/ml) for 2 days to induce foam cell formation. Foam cell formation was verified by oil red O staining (figure 1) and by determining their cholesterol and cholesterol ester content. OxLDL and mmLDL were prepared from the same native LDL for each experiment as described. Control experiments were conducted on macrophages cultured in M-CSF without LDL for an additional 2 days. Two separate sets of monocytes were incubated with CXCL4 (100 nM) for 6 days, another procedure known to induce macrophage differentiation (29), with and without oxLDL to induce foam cell formation. RNA was extracted from cells in all 11 conditions (table 1) and gene expression was measured in duplicates at the University of Virginia Gene Expression Core Facility using Affymetrix equipment.

Project description:OBJECTIVE: The liver X receptor M-NM-1 (LXRM-NM-1) is a ligand-dependent nuclear receptor and the major regulator of reverse cholesterol transport in macrophages. This makes it an interesting target for mechanistic study and treatment of atherosclerosis. METHODS AND RESULTS: We optimized a promising stilbenoid structure (STX4) in order to reach nanomolar effective concentrations in LXRM-NM-1 reporter-gene assays. STX4 displayed the unique property to activate LXRM-NM-1 effectively but not its subtype LXRM-NM-2. The potential of STX4 to increase transcriptional activity as an LXRM-NM-1 ligand was tested with gene expression analyses in THP1-derived human macrophages and oxLDL-loaded human foam cells. Only in foam cells but not in macrophage cells STX4 treatment showed athero-protective effects with similar potency as the synthetic LXR ligand T0901317 (T09). Surprisingly, combinatorial treatment with STX4 and T09 resulted in an additive effect on reporter-gene activation and target gene expression. In physiological tests the cellular content of total and esterified cholesterol was significantly reduced by STX4 without the undesirable increase in triglyceride levels as observed for T09. CONCLUSIONS: STX4 is a new LXRM-NM-1-ligand to study transcriptional regulation of anti-atherogenic processes in cell or ex vivo models, and provides a promising lead structure for pharmaceutical development. 2 treatment groups (STX4 vs. DMSO in foam cells), 3 biological replicates per treatment (6 samples in total), each representing one well from cell culture plate 2 treatment groups (STX4 vs. DMSO in macrophages), 4 biological replicates per treatment (8 samples in total), each representing one well from cell culture plate 2 treatment groups (T0901317 vs. DMSO in foam cells), 3-4 biological replicates per treatment (7 samples in total), each representing one well from cell culture plate 2 treatment groups (T0901317 vs. DMSO in macrophages), 4 biological replicates per treatment (8 samples in total), each representing one well from cell culture plate