Flow cytometric gating for spleen monocyte and DC subsets: differences in autoimmune NOD mice and with acute inflammation.
Flow cytometric gating for spleen monocyte and DC subsets: differences in autoimmune NOD mice and with acute inflammation.
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DOI:
10.1016/j.jim.2015.08.015
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发表时间:
2016-05
影响因子:
2.2
通讯作者:
Tarbell KV
中科院分区:
文献类型:
--
作者:
Dong MB;Rahman MJ;Tarbell KV
The role of antigen presenting cells (APCs) in the pathogenesis of autoimmune and other inflammatory diseases is now better understood due to advances in multicolor flow cytometry, gene expression analysis of APC populations, and functional correlation of mouse to human APC populations. A simple but informative nomenclature of conventional and plasmacytoid dendritic cell subsets (cDC1, cDC2, pDC) and monocyte-derived populations incorporates these advances, but accurate subset identification is critical. Ambiguous gating schemes and alterations of cell surface markers in inflammatory condition can make comparing results between studies difficult. Both acute inflammation, such as TLR–ligand stimulation, and chronic inflammation as found in mouse models of autoimmunity can alter DC subset gating. Here, we address these issues using in vivo CpG stimulation as an example of acute inflammation and the non-obese diabetic (NOD) mouse as a model of chronic inflammation. We provide a flow cytometric antibody panel and gating scheme that differentiate 2 monocytic and 3 DC subsets in the spleen both at steady state and after CpG stimulation. Using this method, we observed differences in the composition of NOD DCs that have been previously reported, and newly identified increases in the number of NOD monocyte-derived DCs. Finally, we established a protocol for DC phosphoflow to measure the phosphorylation state of intracellular proteins, and use it to confirm functional differences in the identified subsets. Therefore, we present optimized methods for distinguishing monocytic and DC populations with and without inflammation and/or autoimmunity associated with NOD mice.
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影响因子:
32.4
作者:
Serbina, NV;Salazar-Mather, TP;Pamer, EG
通讯作者:
Pamer, EG
影响因子:
82.9
作者:
Diana, Julien;Simoni, Yannick;Lehuen, Agnes
通讯作者:
Lehuen, Agnes
影响因子:
3.7
作者:
Larsen J;Weile C;Antvorskov JC;Engkilde K;Nielsen SM;Josefsen K;Buschard K
通讯作者:
Buschard K
DOI:
10.1084/jem.20041930
发表时间:
2005-04-04
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Asselin-Paturel C;Brizard G;Chemin K;Boonstra A;O'Garra A;Vicari A;Trinchieri G
通讯作者:
Trinchieri G
影响因子:
7.3
作者:
Price JD;Tarbell KV
通讯作者:
Tarbell KV