CITEseq of murine bone marrow dendritic cells and precursors in sepsis
This dataset contains single cell transcriptomic and surface protein profiles of plasmacytoid dendritic cells (pDCs) and dendritic cell precursors from the bone marrow of septic and sham-operated mice. Sepsis was induced in BALB/c wild type mice using the cecal ligation and puncture model, with sham surgery as control. Bone marrow was collected 36 hours after surgery, enriched for pDCs and related precursors by fluorescence-activated cell sorting, and processed using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITEseq). Sample demultiplexing was performed using hashtag oligonucleotides. The dataset includes gene expression matrices, antibody-derived tag counts, and barcode assignments for 14.000 cells. It may be used to study transcriptional states, surface marker expression, and phenotypic diversity in sepsis, to compare with other immune cell single cell datasets, or to train and benchmark computational tools for multimodal single cell data analysis.
This dataset contains single cell transcriptomic and surface protein profiles of plasmacytoid dendritic cells (pDCs) and dendritic cell precursors from the bone marrow of septic and sham-operated mice. Sepsis was induced in BALB/c wild type mice using the cecal ligation and puncture model, with sham surgery as control. Bone marrow was collected 36 hours after surgery, enriched for pDCs and related precursors by fluorescence-activated cell sorting, and processed using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITEseq). Sample demultiplexing was performed using hashtag oligonucleotides. The dataset includes gene expression matrices, antibody-derived tag counts, and barcode assignments for 14.000 cells. It may be used to study transcriptional states, surface marker expression, and phenotypic diversity in sepsis, to compare with other immune cell single cell datasets, or to train and benchmark computational tools for multimodal single cell data analysis.