Human Innate Lymphoid Cell Subsets Possess Tissue-Type Based Heterogeneity in Phenotype and Frequency.
Human Innate Lymphoid Cell Subsets Possess Tissue-Type Based Heterogeneity in Phenotype and Frequency.
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DOI：
10.1016/j.immuni.2016.11.005
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发表时间：
2017-01-17
期刊：
影响因子：
32.4
通讯作者：
Newell EW
中科院分区：
文献类型：
--
作者：
Simoni Y;Fehlings M;Kløverpris HN;McGovern N;Koo SL;Loh CY;Lim S;Kurioka A;Fergusson JR;Tang CL;Kam MH;Dennis K;Lim TKH;Fui ACY;Hoong CW;Chan JKY;Curotto de Lafaille M;Narayanan S;Baig S;Shabeer M;Toh SES;Tan HKK;Anicete R;Tan EH;Takano A;Klenerman P;Leslie A;Tan DSW;Tan IB;Ginhoux F;Newell EW
动物模型已经强调了先天性淋巴样细胞（ILC）在多种免疫应答中的重要性。然而，技术限制阻碍了ILC在人类中的充分表征。在这里，我们使用包括广泛的表面标记物和转录因子的质谱细胞术来准确地识别和分析健康和炎症组织类型中的ILC。高维分析允许ILC2和ILC3亚群的明确表型描绘。我们无法在评估的任何组织中检测到ILC1细胞，然而，我们鉴定了上皮内（即）ILC1样细胞，其代表粘膜和非粘膜病理组织中更广泛的NK细胞类别。此外，我们已经揭示了表型分子的表达，以前没有描述的ILC。我们的分析表明，人类ILC在个体和组织之间是高度异质的细胞类型。它还提供了一个全球性的，全面的，详细的描述ILC异质性在人类患者和组织。
Animal models have highlighted the importance of innate lymphoid cells (ILCs) in multiple immune responses. However, technical limitations have hampered adequate characterization of ILCs in humans. Here, we used mass cytometry including a broad range of surface markers and transcription factors to accurately identify and profile ILCs across healthy and inflamed tissue types. High dimensional analysis allowed for clear phenotypic delineation of ILC2 and ILC3 subsets. We were not able to detect ILC1 cells in any of the tissues assessed, however, we identified intra-epithelial (ie)ILC1-like cells that represent a broader category of NK cells in mucosal and non-mucosal pathological tissues. In addition, we have revealed the expression of phenotypic molecules that have not been previously described for ILCs. Our analysis shows that human ILCs are highly heterogeneous cell types between individuals and tissues. It also provides a global, comprehensive, and detailed description of ILC heterogeneity in humans across patients and tissues.
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炎症和代谢疾病中的脂肪因子。
DOI：
10.1038/nri2921
发表时间：
2011-02
期刊：
Nature reviews. Immunology
影响因子：
--
作者：
通讯作者：
--
影响因子：
64.8
作者：
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通讯作者：
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影响因子：
30.5
作者：
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影响因子：
32.4
作者：
Diefenbach, Andreas;Colonna, Marco;Koyasu, Shigeo
通讯作者：
Koyasu, Shigeo
影响因子：
32.4
作者：
Bernink, Jochem H.;Krabbendam, Lisette;Spits, Hergen
通讯作者：
Spits, Hergen