Transcriptomic Profiling of Ly6G− IA/IE− CD45+ CD11b+ CD115+ Mouse Monocytes: Impact of In Vivo Platelet Depletion and LPS Challenge
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB76182 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To examine the role of platelets in mouse monocyte function, we administered anti-GPIba antibody to deplete platelets or IgG as a control to 48 mice. After 12 hours, mice were either exposed to LPS or PBS (as a sham control) for 3 hours. Peripheral blood mononuclear cells (PBMCs) were collected, and monocytes were sorted into QIAzol lysis buffer. The experimental setup included 4 conditions, with each condition repeated 3 times. In each experiment, the blood from 4 mice was pooled to generate biological replicates of 12 mice, distributed into 4 groups: Sham mice (IgG) treated with PBS (n = 3) Sham mice (IgG) treated with LPS (n = 3) Platelet-depleted mice (anti-GPIba) treated with PBS (n = 3) Platelet-depleted mice (anti-GPIba) treated with LPS (n = 3) After these treatments, mouse Ly6G− IA/IE− CD45+ CD11b+ CD115+ monocytes were FACS-sorted directly into Quiazol for RNA extraction. The lysed samples were sent to GENEWIZ for RNA isolation and bulk RNA-seq analysis. RNA extraction and library preparation were conducted according to the GENEWIZ (Azenta Life Sciences) pipeline. Ultra-low input RNA-Seq was performed on Illumina HiSeq PE 2x150 bp with approximately 350M reads. Subsequently, reads were mapped to the Mus musculus GRCm38 reference genome (ENSEMBL) using the STAR aligner v.2.5.2b, and unique gene hit counts were generated with featureCounts from the Subread package v.1.5.2. Standard analysis was performed by GENEWIZ, including differential gene expression analysis using DESeq2. p-values and log2 fold changes were calculated using the Wald test, with genes meeting criteria of adjusted p-value < 0.05 and absolute fold change > 2 considered significantly differentially expressed genes (DEGs). Gene ontology (GO) analysis of significant DEGs was conducted by GENEWIZ (Azenta Life Sciences) using the Fisher exact test.\\" *Our goal is to assess the alternations on transcription levels (mRNA-Seq) between the different groups. Twelve samples contain 500 - 10000 mouse monocytes that were directly sorted into 1 ml QIAzol. **Experimental setting: samples were generated from three independent experiments (biological replicates N1, N2 and N3), each on a different day. Each experiment consisted of 4 different groups: Group 1: treated with IgG + PBS Group 2: treated with IgG + LPS challenge Group 3: treated with AntiGPIb + PBS Group 4: treated with AntiGPIb + LPS challenge First run with biological replicates Nr. 1 (indicated as \\"N1\\") contained samples 1 - 4. Second run with biological replicates Nr. 2 (indicated as \\"N2\\") contained samples 5 - 8. Third run with biological replicates Nr. 3 (indicated as \\"N3\\") contained samples 9 - 12. Experimental questions/analysis: 1) what is the effect of AntiGPIb treatment w.o LPS challenge? i.e. \\"Group 3 (Treatment) vs. Group 1(Ctrl)\\" 2) what is the effect of LPS in \\"Group 2 (Treatment) vs. Group 1 (Ctrl)\\" as well as \\"Group 4 (Treatment) vs. Group 3 (Ctrl)\".
2024-06-15 | E-MTAB-14126 | biostudies-arrayexpress
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
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
Project description:Rothia mucilaginosa strain:IE | isolate:IE Raw sequence reads
| PRJNA672880 | ENA
Project description:To investigate the functional properties of Ly6G+ DC, we employed GeneChip analysis to compare the gene expression profiles between Ly6G+ DC and Ly6C- DC.
2013-02-01 | GSE28408 | GEO
Project description:To investigate the functional properties of Ly6G+ DC, we employed GeneChip analysis to compare the gene expression profiles between Ly6G+ DC and Ly6C- DC. Crude bone marrow (BM) cells prepared from C57BL/6 mice were cultured in the presence of GM-CSF. On day 6, CD11c+/MHC II+/Ly6G+ cells and CD11c+/MHC II+/Ly6G- cells were simultaneously sorted from the same cultures by FACSAria. Total RNA were extracted and hybridized on Affymetrix microarrays.
2013-02-01 | E-GEOD-28408 | biostudies-arrayexpress
Project description:Phenotypic transition of myeloid cells into distinct lineages in vivo is important in pathogen response. To monitor immune cell phenotype transitions in vivo, we developed a quantitative temporal in vivo proteomics (QTiPs) platform, performing multiplexed (10-plex) tandem-mass-tag (TMT)-based mass spectrometry on sorted cells collected from their in situ microenvironment during infection. We temporally characterized a poorly understood, virus-driven CD11b+,Ly6G-,Ly6Chigh-low myeloid cell population throughout an acute phase of infection in both the site of infection and bone marrow. QTiPs, in combination with phenotypic, functional and metabolic analyses, elucidated a pivotal role for inflammatory CD11b+,Ly6G-,Ly6Chigh-low cells in anti-viral immune response and viral clearance. Most importantly, the highly time-resolved QTiPs dataset showed the transition of CD11b+,Ly6G-,Ly6Chigh-low cells into M2-like macrophages which displayed increased antigen presentation capacities and bioenergetic demands late in infection. Our QTiPs approach precisely captures myeloid cell-macrophage transition in this population, and it is a novel platform for measuring temporospatial proteome transitions in vivo.
2017-08-09 | PXD005064 | Pride
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
Project description:Baseline CD11b+ CD115+ Co-housed vs specific pathogen free monocytes
| PRJNA996985 | ENA