Literature DB >> 23183897

Identification of lineage relationships and novel markers of blood and skin human dendritic cells.

Andrew N Harman1, Chris R Bye, Najla Nasr, Kerrie J Sandgren, Min Kim, Sarah K Mercier, Rachel A Botting, Sharon R Lewin, Anthony L Cunningham, Paul U Cameron.   

Abstract

The lineage relationships and fate of human dendritic cells (DCs) have significance for a number of diseases including HIV where both blood and tissue DCs may be infected. We used gene expression profiling of human monocyte and DC subpopulations sorted directly from blood and skin to define the lineage relationships. We also compared these with monocyte-derived DCs (MDDCs) and MUTZ3 Langerhans cells (LCs) to investigate their relevance as model skin DCs. Hierarchical clustering analysis showed that myeloid DCs clustered according to anatomical origin rather than putative lineage. Plasmacytoid DCs formed the most discrete cluster, but ex vivo myeloid cells formed separate clusters of cells both in blood and in skin. Separate and specific DC populations could be determined within skin, and the proportion of CD14(+) dermal DCs (DDCs) was reduced and CD1a(+) DDCs increased during culture, suggesting conversion to CD1a(+)-expressing cells in situ. This is consistent with origin of the CD1a(+) DDCs from a local precursor rather than directly from circulating blood DCs or monocyte precursors. Consistent with their use as model skin DCs, the in vitro-derived MDDC and MUTZ3 LC populations grouped within the skin DC cluster. MDDCs clustered most closely to CD14(+) DDCs; furthermore, common unique patterns of C-type lectin receptor expression were identified between these two cell types. MUTZ3 LCs, however, did not cluster closely with ex vivo-derived LCs. We identified differential expression of novel genes in monocyte and DC subsets including genes related to DC surface receptors (including C-type lectin receptors, TLRs, and galectins).

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Year:  2012        PMID: 23183897     DOI: 10.4049/jimmunol.1200779

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  53 in total

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