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Series GSE180113 Query DataSets for GSE180113
Status Public on Jan 11, 2022
Title Danger signal initiates differentiation of monocytes into osteopontin‑producing macrophages III
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: We report the application of single-cell RNA sequencing for profiling the genexpression of different monocyte types in order to characterize monocytes that differentiate into macrophages under danger signal in comparison to conventional GM-CSF and M-CSF macrophages
Methods: Monocytes freshly isolated from PBMCs were differentiated into GM-CSF, M-CSF, and danger-signal induced macrophages. Two million cells of each macrophage population were tagged accordingly with TotalSeq™‑B Hashtags. Single cell RNA sequencing was performed on all macrophage populations in order to characterize cells from each population. ScRNAseq analysis was performed with the R package Seurat on 16470 barcodes after filtering.
Results: Cluster analysis reveals distinct separation of all three macrophage populations.
Conclusion: The clear difference in overall gene expression profile suggests that macrophages exposed to danger signal differentiate into a novel macrophage type in contrast to conventional GM-CSF and M-CSF monocytes.
 
Overall design mRNA profiling of differentiated macrophages
 
Contributor(s) Rossol M, Hagemann T
Citation(s) 35022393
Submission date Jul 14, 2021
Last update date Jan 28, 2022
Contact name Manuela Rossol
E-mail(s) manuela.rossol@medizin.uni-leipzig.de
Organization name University of Leipzig
Lab Experimental Rheumatology
Street address Liebigstr. 19
City Leipzig
ZIP/Postal code 04103
Country Germany
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (1)
GSM5453390 macrophages
Relations
BioProject PRJNA746582
SRA SRP328345

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Supplementary file Size Download File type/resource
GSE180113_RAW.tar 922.1 Mb (http)(custom) TAR (of RDS, TAR)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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