Multi-organ CD45+ immune cell atlas
收藏NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7756208
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File Description
MultiOrgan_MetaAtlas_total_level3_qc.rds: an rds file containing a Seurat object 114275 cells (RNA integrated assays, PCA and UMAP reductions and quality metrics)
MultiOrgan_MetaAtlas_total_level3_qc.h5ad: an h5 file containing the single cell object as the above
MultiOrgan_MetaAtlas_total_level3_qc_metadata.csv: a table containing the metadata for each cell
Methodology
162 loom files were downloaded from the 12 different projects of the HCA consortium. In more detail, we focused on 14 different organs: prostate gland, eye, heart, skeletal muscle organ, blood, liver, spleen, brain, kidney, colon, esophagus, lung, thymus, and bone marrow. The files were transformed into Seurat objects with the function as.Seurat() from Seurat package in R. After incorporating metadata information, each object was screened for immune cells based on the expression of the CD45 immune marker. Specifically, cells were considered immune cells if they exhibited at least one read of the PTPRC - CD45 surface marker gene. Finally, the Seurat object was transformed into a .h5 object for Python users.
Metadata
All the files contain the following donor metadata variables:
Tissue: Organ/tissues
Project: Project of HCA
Library_prep: single cell technology
Sample_ID: assigned patient identifiers
Tissue_part: specific location of the sampling
Sex: the donor's sex
Age: the donor's age
percent.mt: Calculation of mitochondrial proportion
percent.ribo: Calculation of ribosomal proportion
annotation_level1: characterization of cells into the main immune compartments
annotation_level2: focusing on each annotation_level1 category and performing in-depth characterization of the immune
cells
annotation_level3: focusing on the different subtypes of macrophages and the Tregs compartment
The columns scDblFinder.class_rna, scDblFinder.score_rna, scDblFinder.weighted_rna, scDblFinder.cxds_score_rna are related
to metrics for doublet detection using scDblFinder
The columns S.Score, G2M.Score and Phase are related to cell cycling
创建时间:
2023-12-29



