Transcription profiling by microarray of High-density neutrophils in multiple myeloma and monoclonal gammopathy patients compared to healthy donors.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Alessandra Romano
PROVIDER: E-MTAB-6105 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The role of myeloid cells in supporting cancer growth is well established. Most work has focused on myeloid-derived suppressor cells (MDSC) that accumulate in tumor-bearing animals, but tumor-associated neutrophils (TAN) are also known to be capable of augmenting tumor growth. However, little is known about their evolution, phenotype, and relationship to naive neutrophils (NN) and to the granulocytic fraction of MDSC (G-MDSC). In the current study, a transcriptomics approach was used in mice to compare these cell types. Our data show that the three populations of neutrophils are significantly different in their mRNA profiles with NN and G-MDSC being more closely related to each other than to TAN. Structural genes and genes related to cell-cytotoxicity (i.e. respiratory burst) were significantly down-regulated in TAN. In contrast, many immune-related genes and pathways, including genes related to the antigen presenting complex (e.g. all six MHC-II complex genes), and cytokines (e.g. TNF-a, IL-1-a/b), were up-regulated in G-MDSC, and further up-regulated in TAN. Thirteen of the 25 chemokines tested were markedly up-regulated in TAN compared to NN, including striking up-regulation of chemoattractants for T/B-cells, neutrophils and macrophages. This study characterizes different populations of neutrophils related to cancer, pointing out the major differences between TAN and the other neutrophil populations. Various types of myeloid cells have been shown to promote tumor progression by direct immune suppression and by production of angiogenic factors, matrix-degrading enzymes, or growth factors. In untreated tumors, neutrophils have been reported to produce angiogenic factors and matrix-degrading enzymes, support the acquisition of a metastatic phenotype, and suppress the anti-tumor immune response. Neutrophils, like all other leukocytes, move into tissues from the blood under the influence of specific chemokines (e.g. KC/CXCL-1, MIP-2a/CXCL-2 and GCP-2/CXCL-6), cytokines (e.g. TNFa and IFN-x), and cell adhesion molecules located on their own surface (e.g. CD11b) and on the surface of endothelial cells (e.g. selectins, ICAM-1 and PECAM-1). When they traffic into tumors, they are referred to as TAN. In mice, TAN can be defined by the specific surface markers CD11b and Ly6G with low expression of macrophage markers such as F4/80. Myeloid-derived suppressor cells (MDSC) are a heterogeneous population of immune suppressive cells that are produced excessively in cancer. They comprise at least two subsets -granulocytic (Ly6G+, G-MDSC) and monocytic cells (Ly6C+, M-MDSC), potentially with different immunosuppressive properties. It has been previously shown that MDSC can enter tumors and differentiate to mature macrophages (TAM) or neutrophils (TAN). However, since no definitive markers have been established, it is unknown whether intratumoral N2 neutrophils (N2 TAN) are granulocytic MDSC from spleen that are attracted to the tumor or if they are typical blood-derived neutrophils that are then converted to an N2 phenotype by the tumor microenvironment, specifically by the high local concentrations of TGF-b. The purpose of this study was to use a transcriptomics approach to gain further information about TANs by comparing the RNA profile of these cells to naive bone-marrow neutrophils (NN) and to the granulocytic fraction of myeloid derived suppressor cells (G-MDSC). We examined which pathways and gene-groups varied amongst these 3 populations of neutrophils and performed a detailed analysis on pathways related to the main functions of neutrophils, such as respiratory burst, granule proteins, phagocytosis, apoptosis, structural genes, antigen presentation and specific immune effects. Our data defines TAN as a unique population of neutrophils, quite distinct from both NN and G-MDSC.
2013-01-04 | E-GEOD-43254 | biostudies-arrayexpress
Project description:Myeloid derived suppressor cells (MDSC) playing the immune suppressive roles in tumor bearing host consists of two major subsets of granulocytic and monocytic cells. Granulocytic MDSC (G-MDSC) express CD11b+ Gr-1high Ly6G+ Ly6Clow and produce high level of reactive oxygen species (ROS). Interestingly, neutrophils are well known ROS producing cells during immune defensive process and share same surface markers with G-MDSC. These similar features always brought the fundamental questions what’s the difference between G-MDSC and neutrophils but it’s not yet proven clearly. In this study, we examined the gene expression of G-MDSC and neutrophils using Affymetrix microarray G-MDSC (CD11b+Ly6G+Ly6Clow) were purifed from splenocytes in EL4 lymphoma tumor bearing mice by positive selection of Ly6G using microbeads isolation. Neutrophils were purified from ascitic fluids induced after injection of milk protein, casein by negative selection of F4/80 and positive selection of Ly6G using microbeads isolation. Their RNA was extracted and gene expression was analyzed using Affymetrix microarray.
2011-03-10 | E-GEOD-24102 | biostudies-arrayexpress
Project description:Polymorphonuclear myeloid-derived suppressor cells (PMN-MDSC) are important regulators of immune responses and promoters of tumor progression in cancer1,2. The heterogeneity of these cells as well as their distinction from neutrophils hampers the progress in understanding of the biology and clinical significance of these cells. PMN-MDSC had a distinct gene signature from neutrophils isolated from the same patients with most prominent changes in genes associated with endoplasmic reticulum (ER) stress response. Surprisingly, low-density lipoprotein (LDL) was one of the most enriched gene regulators and oxidized LDL receptor 1 (OLR1) was one of the most overexpressed genes in PMN-MDSC. Lectin-type oxidized LDL receptor 1 (LOX-1) encoded by OLR1 was expressed in only 0.7% of neutrophils in peripheral blood of healthy donors, whereas 5-15% of neutrophils in cancer patients and 15-50% of neutrophils in tumor tissues were LOX-1+. In contrast to their LOX-1- counterparts, LOX-1+ neutrophils had gene signature, biochemical and functional characteristics of PMN-MDSC. Induction of ER stress in neutrophils from healthy donors up-regulated LOX-1 expression and converted these cells to suppressive PMN-MDSC. Thus, PMN-MDSC have distinct gene signature and LOX-1 can define this population of cells, which may provide new insight to the biology and clinical evaluation of these cells. Examination of LOX1+/LOX1- and PMN/MDSC cells in cancer patient samples
2016-07-22 | E-GEOD-79404 | biostudies-arrayexpress
Project description:BACKGROUND: Combination antiretroviral therapy (cART) is able to control HIV-1 viral replication, however long-lived latent infection in resting memory CD4+ T-cells persist. The mechanisms for establishment and maintenance of latent infection in resting memory CD4+ T-cells remain unclear. Previously we have shown that HIV-1 infection of resting CD4+ T-cells co-cultured with CD11c+ myeloid dendritic cells (mDC) produced a population of non-proliferating T-cells with latent infection. Here we asked whether different antigen presenting cells (APC), including subpopulations of DC and monocytes, were able to induce post-integration latent infection in resting CD4+ T-cells, and examined potential cell interactions that may be involved using RNA-seq. RESULTS: mDC (CD1c+), SLAN+ DC and CD14+ monocytes were most efficient in stimulating proliferation of CD4+ T-cells during syngeneic culture and in generating post-integration latent infection in non-proliferating CD4+ T-cells following HIV-1 infection of APC-T-cell co-cultures. In comparison, plasmacytoid DC (pDC) and B-cells did not induce latent infection in APC-T-cell co-cultures. We compared the RNA expression profiles of APC subpopulations that could and could not induce latency in non-proliferating CD4+ T-cells. Gene expression analysis, comparing the mDC, SLAN+ DC and CD14+ monocyte subpopulations to pDC identified 53 upregulated genes that encode proteins expressed on the plasma membrane that could signal to CD4+ T-cells via cell-cell interactions (32 genes), immune checkpoints (IC) (5 genes), T-cell activation (9 genes), regulation of apoptosis (5 genes), antigen presentation (1 gene) and through unknown ligands (1 gene). CONCLUSIONS: APC subpopulations from the myeloid lineage, specifically mDC subpopulations and CD14+ monocytes, were able to efficiently induce post-integration HIV-1 latency in non-proliferating CD4+ T-cells in vitro. Inhibition of key pathways involved in mDC-T-cell interactions and HIV-1 latency may provide novel targets to eliminate HIV latency. mRNA profiles of sorted, pure antigen presenting cells including, CD1c+ myleoid dendirtic cells (mDC), SLAN+ mDC, CD14+ monocytes and plasmacytoid DC (pDC), were generated using next generation sequencing in triplicate, using Illumina Illumina Hiseq 2000.
2015-12-23 | E-GEOD-70106 | biostudies-arrayexpress
Project description:WArning Files GSM90663.txt and GSM90665.txt are identical. In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms. Experiment Overall Design: Different leukocyte subsets were either isolated or differentiated from human blood to obtain consistently >95% pure populations. Gene profiles for activated effector cells such as macrophages, neutrophils and mast cells were also generated. In most cases, microarray analyses were perform on samples from 2 independent donors.
2007-10-27 | E-GEOD-3982 | biostudies-arrayexpress
Project description:Multiple myeloma (MM) and its premalignant precursor MGUS (monoclonal gammopathy of undetermined significance) are clonal plasma cell diseases that develop in the bone marrow (BM) and are dependent on microenvironmental interactions. Primary bone marrow stromal cells (BMSCs) are key players in the BM microenvironment, however, their role in MGUS/MM pathophysiology is not known. We therefore investigated potential disease-specific alterations in prospectively isolated BMSCs from MM, MGUS and healthy controls. Clear disease-related BMSC surface marker and gene expression differences were recorded, and deep sequencing identified shared MGUS/MM as well as MM-specific molecular signatures. Moreover, we identified genes that were deregulated in a disease-stage manner, thus reflecting the progression from normal to MGUS and MM. Analysis of primary BMSCs revealed disease-stage related protein and gene expression patterns, which provides novel insight into the stromal transitions and their functional implications for plasma cell disease development and progression.
2024-01-31 | GSE129801 | GEO
Project description:The aim of the study is to evaluate whether the preoperative level of myeloid-derived suppressor cells is associated with postoperative complications classified by Clavien-Dindo categories. Levels of all MDSC, polymorphonuclear MDSC (PMNMDSC), monocytic MDSC (MMDSC), early-stage MDSC (EMDSC) and monocytic to polymorphonuclear MDSC ratio (M/PMN MDCS) were established and compared in patients with postoperative complications, severe postoperative complications (>= IIIA according to Clavien-Dindo) and severe septic complications.
| 2381881 | ecrin-mdr-crc
Project description:Monoclonal gammopathy of undetermined significance (MGUS) is a benign condition with an approximate 1% annual risk of symptomatic plasma cell disorder development, mostly to multiple myeloma (MM). We performed genome-wide screening of copy-number alterations (CNAs) in 90 MGUS and 33 MM patients using high-density DNA microarrays. We identified CNAs in a smaller proportion of MGUS (65.6%) than in MM (100.0%, p=1.31×10-5) and showed median number of CNAs is lower in MGUS (3, range 0-22) than in MM (13, range 4-38, p=1.82×10-10). In the MGUS cohort, the most frequent losses were located at 1p (5.6%), 6q (6.7%), 13q (30.0%), 14q (14.4%), 16q (8.9%), 21q (5.6%) and gains at 1q (23.3%), 2p (6.7%), 6p (13.3%) and Xq (7.8%). Hyperdiploidy was detected in 38.9% of MGUS cases and the most frequent whole chromosome gains were 3 (25.6%), 5 (23.3%), 9 (37.8%), 15 (23.3%) and 19 (32.2%). We also identified CNAs such as 1p, 6q, 8p, 12p, 13q, 16q losses, 1q gain and hypodiploidy, which are potentially associated with an adverse prognosis in MGUS. In summary, we showed that MGUS is similar to MM in that it is a genetically heterogeneous disorder, but overall cytogenetic instability is lower than in MM, which confirms that genetic abnormalities play important role in monoclonal gammopathies.
2016-02-18 | GSE77975 | GEO
Project description:Myeloid-derived suppressor cells (MDSC) are a major barrier to anticancer responses. Although much is known about how MDSC promote tumor progression, little is known about how they develop. We hypothesized that MDSC develop as a consequence of tumor-induced downregulation of interferon regulatory factor-8 (IRF-8), a key myeloid developmental transcription factor. We showed that: 1) IRF8-deficiency in mice generated myeloid populations highly homologous to tumor-induced MDSC; 2) IRF-8 overexpression in mice reduced MDSC accumulation and retarded tumor growth; 3) MDSC-inducing factors, G-CSF or GM-CSF, facilitated IRF-8 downregulation via STAT3- or STAT5-dependent pathways, respectively; and 4) IRF-8 levels in MDSC-like subsets of breast cancer patients were depressed compared to healthy donors. Altogether, our data implicate IRF-8 as a novel MDSC-dependent transcription factor. Splenic CD11b+Gr-1high cell populations from tumor-bearing mice, IRF8 knockout mice or non-tumor-bearing control mice were purified in two independent experiments by flow cytometry (> 97% purity) and subjected to whole genome expression profiling using Illumina microarrays.
2013-07-05 | E-GEOD-39228 | biostudies-arrayexpress
Project description:To determine a gene/molecular fingerprint of multiple myeloma (MM) endothelial cells (MMECs), also identifying some of the vascular mechanisms that govern the malignant progression from quiescent monoclonal gammopathy of undetermined significance (MGUS). A comparative gene expression profiling (GEP) was carried out on patient-derived MMECs and MGUS endothelial cells (MGECs) using the Affymetrix U133A Arrays. Expression of selective vascular markers were also validated by RT-PCR and immunoblotting analysis in primary cultures of ECs isolated from total bone marrow (BM)-mononuclear cells. Twenty-two genes were found differently expressed in MMECs compared to MGECs (with 14 down-regulated and 8 up-regulated), thus proving that molecular differences were maintained in vitro. Specific pathways analysis revealed transcriptional and protein expression changes for key regulators of extracellular matrix formation and bone remodeling, cell-adhesion, chemotaxis, angiogenesis, resistance to apoptosis, and cell-cycle regulation. Specifically, we focused on six of these genes (DIRAS3, SERPINF1, SRPX, BNIP3, IER3 and SEPW1), which were not previously functionally correlated to the overangiogenic phenotype of MMECs and disease activity. These data identified distinct EC gene expression profiles and some vascular phenotypes that could influence the remodeling of the BM-microenvironment in patients with active MM. A better understanding of the linkage between genetic and epigenetic events in MM tumor/ECs may contribute to the molecular classification of the disease, thereby identifying selective targets of more effective anti-vessel/stroma therapeutic strategies. Experiment Overall Design: This series of microarray experiments contains the gene expression profiles of five samples from HUVECs (Human Umbilical Vein Endothelial Cells) and five bone marrow ECs (endothelial cells) samples from newly diagnosed MGUS and MM patients, respectively. Centrifugation on Ficoll gradient of heparinized BM-aspirates was followed by polystyrene flask adherence to isolate stromal cells from plasma cells in suspension. Adherent stromal elements were first immunodepleted of macrophages and residual plasma cells with CD14 and CD38 monoclonal antibody (mAb)-coated flasks (mAbs were from Immunotech, Coulter, Marseilles, France), and then incubated with magnetic microbeads coated with Ulex europaeus-1 lectin. Freshly-isolated ECs were cultured in complete medium RPMI-1640 medium supplemented with 10% heat-inactivated FCS and 1% glutamine to allow cell spreading and growth. The purity and viability of EC cultures grown at least one passage (more than 97% viable cells) were assessed by fluorescence-activated cell sorting (FACS, FACS Canto II, Becton Dickinson, San Jose, CA) with double positivity for factor VIII-related antigen (FVIII-RA, a highly specific EC marker) and CD105 (or endoglyn, a molecule strongly expressed by ECs) as well as for CD14 and CD38 negativity. Analysis of mRNA transcripts for FVIII-RA, CD38, CD105 and IgH VDJ region was also performed by RT-PCR, and EC viability was assessed by trypan blue viable staining. HUVECs were purchased from Clonetics Biowhittaker (Walkersville, MD) and cultured in EGM-2MV media (Clonetics Biowhittaker). Five micrograms of total RNA was processed and, in accordance with the manufacturer's protocols, 15 micrograms of fragmented biotin-labelled cRNA were hybridized on GeneChip Human Genome U133A Arrays (Affymetrix Inc.). The arrays were scanned using the Agilent GeneArray Scanner G2500A (Affymetrix). The images were acquired using Affymetrix MicroArray Suite (MAS) 5.0 software and the probe level data converted to expression values using the Bioconductor function for the Robust Multi-Array average (RMA) procedure (Irizarry et al, 2003), in which perfect match intensities are background adjusted, quantile-quantile normalized and log2-transformed.
2009-09-15 | E-GEOD-14230 | biostudies-arrayexpress