| Accession | GMS-64-85
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| Title | Airspace Macrophages and Monocytes Exist in Transcriptionally Distinct Subsets in Healthy Adults |
| Submit date | 2025-04-22 13:59:21 |
| Last update date | 2025-04-22 13:59:21 |
| Contact | Sung-Joon PARK park AT hgc.jp The University of Tokyo |
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| Total file size | 1.14 GB |
| Keywords | Macrophage Nuclear-scale Single cell |
| Experiment type | Single-cell RNA sequencing Bronchoalveolar lavage of healthy human adults |
| Summary | Understanding the conserved repertoire of airspace macrophages during health is essential to understanding cellular programing during disease. To determine the transcriptional heterogeneity of human cells obtained from BAL of healthy adults, the cells were subjected to single-cell RNA sequencing. This study is the first to delineate the conserved heterogeneity of airspace immune cells during health and identifies two previously unrecognized macrophage subsets. |
| Citation(s) | https://pubmed.ncbi.nlm.nih.gov/33079572/ https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151928 |
| Organism | Human |
| Cell (Tissue) | Lung |
| Protocol | Enrolled subjects underwent flexible fiberoptic bronchoscopy and bronchoalveolar lavage with serial installation and aspiration of normal saline. Lavage fluid was centrifuged to pellet cells. Cell pellet was resuspended at 1x10^6 cells per ml in PBS containing 0.04% bovine serum albumin. Single cells were captured using The Chromium Box (10x Genomics, Pleasanton, CA). The Chromium Single Cell 3’ GEM, library, and gel bead kit PN-1000075 were used along with Bead Chip B PN-1000092 for cell capture and library construction. Libraries were sequenced with the Illumina NovaSEQ 6000 sequencer (Illumina, Inc., San Diego, CA) using an S4 flow cell. |
| Data processing | Initial pre-processing of the 10 subjects 10X scRNA-seq data, including demultiplexing, alignment to the hg38 human genome, and UMI-based gene expression quantification, was performed using Cell Ranger (version 3.0, 10X Genomics) |
| [791] AirwayMacrophage_Mould2020.rds
scRNA data (Seurat V5) application/octet-stream 1.14 GB MD5: a34030d78716510ce4eb76c0306a7a55 |
