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Two distinct subsets are identified from the peritoneal myeloid mononuclear cells expressing both CD11c and CD115

ABSTRACT: Two distinct subsets are identified from the peritoneal myeloid mononuclear cells expressing both CD11c and CD115

PROVIDER: PRJNA540232 | ENA |

REPOSITORIES: ENA

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Two distinct subsets are identified from the peritoneal myeloid mononuclear cells expressing both CD11c and CD115

Project description:The peritoneal cavity is home to various immune cells. Previous studies have investigated the heterogenous nature of peritoneal myeloid mononuclear cells. However, up to this date, there are no clear criteria to distinguish peritoneal macrophages and dendritic cells (DCs). In the present study, we delineate the subsets of myeloid mononuclear cells in the mouse peritoneal cavity. Considering phenotypical, functional, and ontogenic features, peritoneal myeloid mononuclear cells are divided into 5 subsets: large peritoneal macrophages (LPMs), small peritoneal macrophages (SPMs), DCs, and 2 MHCII+CD11c+CD115+ subpopulations (i.e., MHCII+CD11c+CD115+CD14-CD206- and MHCII+CD11c+CD115+CD14+CD206+). Among them, 2 subsets of competent antigen presenting cells are demonstrated with distinct functional characteristics, one being DCs and the other being MHCII+CD11c+CD115+CD14-CD206- cells. DCs are able to promote fully activated T cells and superior in expanding cytokine producing inflammatory T cells, whereas MHCII+CD11c+CD115+CD14-CD206- cells generate partially activated T cells and possess a greater ability to induce regulatory T cells under TGF-β and retinoic acid conditions. While the development of DCs and MHCII+CD11c+CD115+CD14-CD206- cells are responsive to the treatment of FLT3L and GM-CSF, the numbers of LPMs, SPMs, and MHCII+CD11c+CD115+CD14+CD206+ cells are only influenced by the injection of GM-CSF. In addition, the analysis of transcriptomes reveals that the gene expression profile of MHCII+CD11c+CD115+CD14+CD206+ cells share high similarity with that of SPMs. Collectively, our study identifies 2 distinct subpopulations of MHCII+CD11c+CD115+ cells, (i) MHCII+CD11c+CD115+CD14-CD206- cells closely related to DCs and (ii) MHCII+CD11c+CD115+CD14+CD206+ cells to SPMs.

2019-07-01 | GSE130424 | GEO

Two Distinct Subsets Are Identified from the Peritoneal Myeloid Mononuclear Cells Expressing both CD11c and CD115.

Project description: Not available

| S-EPMC6597442 | biostudies-literature

RNA-Seq analysis of CD115- monocytes and CD115+ monocytes from naïve and tumor-bearing mice

Project description:Purpose: The goals of this study are to compare CD115- monocytes to CD115+ monocytes from naïve and tumor-bearing mice (EL4) with high-throughput data analysis. Methods: CD115- monocytes and CD115+ monocytes were sorted by flow cytomentry separatly. Total RNA was extracted from cells using the RNeasy Mini Kit (QIAGEN, Hilden, Germany) and residual DNA was removed with a DNA-free Kit (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s instructions. Samples were loaded onto a 1% agarose gel before electrophoresis. DNA-free conditions were confirmed by SYBR Gold staining (Invitrogen). The quantity and the quality of RNA was evaluated by Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific) and bioanalyzer (Agilent 2100; Agilent Technologies, Santa Clara, CA, USA). RNA-Seq libraries were prepared with 1 μg of total RNA from two biological replicates of each group using TruSeq Stranded mRNA LT Sample Prep Kit and analyzed by Illumina Sequencer (both from Illumina, San Diego, CA, USA). Results: We found 1,723 differetially expressed genes (DEGs) between CD115- monocytes and CD115+ monocytes (cutoff value was set at 2-fold). DEGs of interest are invoved in granulocyte, transcription factors, mononuclear phagocytes, and angiogenesis. Conclusions: Our study represents the first detailed DEGs analysis of CD115- monocytes and CD115+ monocytes from naïve and tumor-bearing mice. Our results show that CD115- monocytes may have a closer relationship with neutrophils or PMN-MDSCs than the CD115+ monocytes. Also, our overall transcriptomic analysis further suggests that CD115- M-MDSCs and monocytes are separate subsets of monocytic cells.

2022-03-22 | GSE199008 | GEO

RNA-Seq analysis of CD115- monocytes and CD115+ monocytes from naïve and tumor-bearing mice

Project description:RNA-Seq analysis of CD115- monocytes and CD115+ monocytes from naïve and tumor-bearing mice

| PRJNA817820 | ENA

Baseline CD11b+ CD115+ Co-housed vs specific pathogen free monocytes

Project description:The immune system of SPF mice is dominated by naïve phenotype immune cells, especially within the T cell compartment, and resembles that of neonatal humans (Beura et al., 2016; Reese et al., 2016). Sequential infection of SPF-housed laboratory mice with common experimental pathogens, such as MHV, MCMV, Listeria monocytogenes, LCMV, and influenza A virus (Berton et al., 2022; Reese et al., 2016), or cohousing (CoH) SPF mice with pet store mice carrying multiple pathogenic and commensal bacteria, viruses, and/or fungi (Beura et al., 2016) induces immune system alterations and maturations that more closely resemble the adult human immune system. Such microbial exposure drastically alters the composition and function of the immune system of laboratory mice, which can significantly influence the overall outcome (and survival) to subsequent infection. Here we report CD11b+ CD115+ monocytes sorted from female specific pathogen-free (SPF) C57BL/6N (B6) mice co-housed with petstore mice for 60 days are transcriptionally different than SPF CD11b+ CD115+ monocytes

2023-10-26 | GSE237883 | GEO

AUTOPHAGY ACTIVATION IN PERIPHERAL BLOOD MONONUCLEAR CELLS OF PERITONEAL DIALYSIS PATIENTS

Project description:The complete systemic deregulated biological network in peritoneal dialysis (PD) patients is still only partially defined. High-throughput/omics techniques may offer the possibility to analyze the main biological fingerprints associated with this clinical condition. For the transcriptomic part of the study, we analyzed new data from 10 patients undergoing peritoneal dialysis .

2023-12-31 | E-MTAB-12875 | biostudies-arrayexpress

Small RNA Solexa sequencing of mouse CD11c+Ia high and CD11c+Ia low cells

Project description:We applied Illumina massively parallel signature sequencing to identify miRNomes in CD11c+Ia high and CD11c+Ia low cells.The miRNomes of these DC subsets will contribute to investigate the significance of miRNAs in DC immunobiology. Examination of miRNome in CD11c+Ia high and CD11c+Ia low cells . All two mouse cell types.

2015-06-16 | E-GEOD-51574 | biostudies-arrayexpress

RNA sequencing of B cell subsets (CD11c hi IgD+ B cells, CD11c hi IgD- B cells, Memory B cells and Naïve B cells) from healthy subjects and subjects with Systemic lupus erythematosus (SLE) or Rheumatoid arthritis (RA)

Project description:CD11c+ B cells (IgD+ and IgD-) are pathogenic B cells expanded in autoimmune disease. The purpose of this study is to identify the pathways unique to IgD+ CD11c B cells and IgD- CD11c B cells.

2018-02-23 | GSE110999 | GEO

Next Generation Sequencing of transcriptomes to reveal the role of HDAC3 in regulating the development of LMPP and CD115- CDP and bone marrow pDCs

Project description:Hdac3 is highly expressed in pDCs, and its deficiency led to substantially impaired development of pDCs, but not cDCs in bone marrow (BM) and spleen. Meanwhile, the hematopoietic progenitors with DC differentiation potential, including CMP, CLP and CD115+ CDP were significantly decreased. Although the number of HSC and CD115− CDP were increased, their differentiation potential toward pDCs were abolished. Further investigation demonstrated that HDAC3 was required for the differentiation of pDC from progenitors at different differentiation stages.

2022-05-27 | GSE197207 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of CD11C+/CD11C- CD8 T cells Transcriptomes

Project description:in order to understand the differences between CD11c+ CD8+ and CD11c- CD8+ T cells in human PBMCs, we isolated the two cell populations in three healthy donors and analyzed their gene expression profiles by RNAseq analyses.

2021-11-01 | GSE183022 | GEO

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