TY - JOUR
T1 - Comparative genomics analysis of mononuclear phagocyte subsets confirms homology between lymphoid tissue-resident and dermal XCR1+ DCs in mouse and human and distinguishes them from Langerhans cells
AU - Carpentier, Sabrina
AU - Vu Manh, Thien Phong
AU - Chelbi, Rabie
AU - Henri, Sandrine
AU - Malissen, Bernard
AU - Haniffa, Muzlifah
AU - Ginhoux, Florent
AU - Dalod, Marc
N1 - Publisher Copyright:
© 2016 The Authors.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Dendritic cells (DC) are mononuclear phagocytes which exhibit a branching (dendritic) morphology and excel at naïve T cell activation. DC encompass several subsets initially identified by their expression of cell surface molecules and later shown to possess distinct functions. DC subset differentiation is orchestrated by transcription factors, growth factors and cytokines. Identifying DC subsets is challenging as very few cell surface molecules are uniquely expressed on any one of these cell populations. There is no standard consensus to identify mononuclear phagocyte subsets; varying antigens are employed depending on the tissue and animal species studied and between laboratories. This has led to confusion in how to accurately define and classify DCs across tissues and between species. Here we report a comparative genomics strategy that enables universal definition of DC and other mononuclear phagocyte subsets across species. We performed a meta-analysis of several public datasets of human and mouse mononuclear phagocyte subsets isolated from blood, spleen, skin or cutaneous lymph nodes, including by using a novel and user friendly software, BubbleGUM, which generates and integrates gene signatures for high throughput gene set enrichment analysis. This analysis demonstrates the equivalence between human and mouse skin XCR1+ DCs, and between mouse and human Langerhans cells.
AB - Dendritic cells (DC) are mononuclear phagocytes which exhibit a branching (dendritic) morphology and excel at naïve T cell activation. DC encompass several subsets initially identified by their expression of cell surface molecules and later shown to possess distinct functions. DC subset differentiation is orchestrated by transcription factors, growth factors and cytokines. Identifying DC subsets is challenging as very few cell surface molecules are uniquely expressed on any one of these cell populations. There is no standard consensus to identify mononuclear phagocyte subsets; varying antigens are employed depending on the tissue and animal species studied and between laboratories. This has led to confusion in how to accurately define and classify DCs across tissues and between species. Here we report a comparative genomics strategy that enables universal definition of DC and other mononuclear phagocyte subsets across species. We performed a meta-analysis of several public datasets of human and mouse mononuclear phagocyte subsets isolated from blood, spleen, skin or cutaneous lymph nodes, including by using a novel and user friendly software, BubbleGUM, which generates and integrates gene signatures for high throughput gene set enrichment analysis. This analysis demonstrates the equivalence between human and mouse skin XCR1+ DCs, and between mouse and human Langerhans cells.
KW - Bioinformatics
KW - Comparative genomics
KW - Dendritic cells
KW - Langerhans cells
KW - Skin
KW - XCR1
UR - http://www.scopus.com/inward/record.url?scp=84961285331&partnerID=8YFLogxK
U2 - 10.1016/j.jim.2016.02.023
DO - 10.1016/j.jim.2016.02.023
M3 - Article
C2 - 26966045
AN - SCOPUS:84961285331
SN - 0022-1759
VL - 432
SP - 35
EP - 49
JO - Journal of Immunological Methods
JF - Journal of Immunological Methods
ER -