Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [RNA-Seq]
Transcriptomics Dataset
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General Information
AccessionGSE60781
TitleIdentification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [RNA-Seq]
DescriptionDendritic cells (DCs) are antigen sensing and presenting cells that are essential for effective immunity. Existing as a multi-subset population, divided by distinct developmental and functional characteristics1,2, DC subsets play important and unique roles in responses to pathogens, vaccines and cancer therapies, as well as during immune-pathologies. Therefore therapeutic manipulation of the DC compartment is an attractive strategy. However, our incomplete knowledge of the inter-relationship between DC subsets and how they develop from progenitors in the bone marrow (BM) has so far limited the realization of their therapeutic potential. DCs arise from a cascade of progenitors that gradually differentiate in the BM; first, the macrophage DC progenitor (MDP), then common DC progenitor (CDP), and lastly the Pre-DC, which will leave the BM to seed peripheral tissues before differentiating into mature DCs3,4. While the basic outline of this process is known, how subset commitment and development is regulated at the molecular level remains poorly understood. Here we reveal that the Pre-DC population in mice is heterogeneous, containing uncommitted Ly6c+/-Siglec-H+ cells as well as Ly6c+Siglec-H- and Ly6c-Siglec-H- sub-populations that are developmentally fated to become Th2/17-inducing CD11b+ DCs and Th1-inducing CD8+ DCs, respectively. Using single cell analysis by microfluidic RNA sequencing, we found that DC subset imprinting occurred at the mRNA level from the CDP stage, revealing that subset fate is defined in the BM and not in peripheral tissues. Single cell transcriptome analysis allowed identification of the molecular checkpoints between progenitor stages and revealed new regulators of DC-poiesis, shedding light on the role of cell cycle control and specific transcription factors in DC lineage development. These data advance our knowledge of the steady-state regulation of DC populations and open promising new avenues for investigation of the therapeutic potential of DC subset-specific targeting in vivo to improve vaccine-based and immunotherapeutic strategies.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60781
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

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Interactive heatmap visualization of RNA-seq dataset GSE60781
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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