Transcriptomic Profiling of Ly6G− IA/IE− CD45+ CD11b+ CD115+ Mouse Monocytes: Impact of In Vivo Platelet Depletion and LPS Challenge
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ABSTRACT:
PROVIDER: PRJEB76182 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR13178571_1.fastq.gz | Fastqsanger.gz | |||
| ERR13178571_2.fastq.gz | Fastqsanger.gz | |||
| ERR13178572_1.fastq.gz | Fastqsanger.gz | |||
| ERR13178572_2.fastq.gz | Fastqsanger.gz | |||
| ERR13178573_1.fastq.gz | Fastqsanger.gz |
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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)\".
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2023-10-26 | GSE237883 | GEO
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Project description:Baseline CD11b+ CD115+ Co-housed vs specific pathogen free monocytes
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Project description:During immune-mediated severe aplastic anemia (SAA) monocytes (CD11b+ Ly6C+ Ly6G-) signficantly increase by both frequency and number within the bone marrow. We isolated BM monocytes from F1 hybrid mice (C57BL/6;Balb/c) induced with SAA via the splenocyte-transfer model. We utilized single-cell RNA sequencing (scRNA-seq) to analyze the heterogenity of BM monocytes during SAA.
2023-07-19 | GSE237388 | 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.
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