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Fate mapping via Ms4a3 expression history traces monocyte-derived cells

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NIAID Data Ecosystem2026-04-25 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP215386
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We performed a single-cell transcriptomic analysis of monocyte and monocyte progenitors by single-cell mRNA sequencing (scRNA-seq) using the C1 Fluidigm platform. We sorted BM cMoPs (Lin-CD117+CD115+CD135-Ly6C+), BM Ly6C+ monocytes (Lin-CD117-CD115+CD135-Ly6C+) and blood Ly6Chi monocytes (CD115+CD11b+Ly6Chi) from wild-type (WT) C57BL/6 mice by fluorescence-activated cell sorting (FACS) and generated transcriptional profiles for each individual cell (n = 38 for blood Ly6Chi monocytes, n = 66 for BM cMoPs, n = 57 for BM Ly6C+ monocytes). Overall design: Gene profiles of ex vivo sorted single cell mouse bone marrow progenitor populations were obtained by C1 single cell mRNA sequencing.
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2019-08-20
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