Single-cell analysis of diverse immune phenotypes in malignant pleural effusion.
Single-cell analysis of diverse immune phenotypes in malignant pleural effusion.
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恶性胸腔积液中多种免疫表型的单细胞分析
DOI:
10.1038/s41467-021-27026-9
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发表时间:
2021-11-18
影响因子:
16.6
通讯作者:
Shi HZ
中科院分区:
文献类型:
--
作者:
Huang ZY;Shao MM;Zhang JC;Yi FS;Du J;Zhou Q;Wu FY;Li S;Li W;Huang XZ;Zhai K;Shi HZ
The complex interactions among different immune cells have important functions in the development of malignant pleural effusion (MPE). Here we perform single-cell RNA sequencing on 62,382 cells from MPE patients induced by non-small cell lung cancer to describe the composition, lineage, and functional states of infiltrating immune cells in MPE. Immune cells in MPE display a number of transcriptional signatures enriched for regulatory T cells, B cells, macrophages, and dendritic cells compared to corresponding counterparts in blood. Helper T, cytotoxic T, regulatory T, and T follicular helper cells express multiple immune checkpoints or costimulatory molecules. Cell-cell interaction analysis identifies regulatory B cells with more interactions with CD4+ T cells compared to CD8+ T cells. Macrophages are transcriptionally heterogeneous and conform to M2 polarization characteristics. In addition, immune cells in MPE show the general up-regulation of glycolytic pathways associated with the hypoxic microenvironment. These findings show a detailed atlas of immune cells in human MPE and enhance the understanding of potential diagnostic and therapeutic targets in advanced non-small cell lung cancer. Detailed immune cell subset identification in human lung (malignant pleural effusion) MPE is important for diagnosis and prognosis. Here the authors use single cell RNA sequencing to identify immune cell types within MPE and show differential gene expression compared to circulating immune cells in blood.
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影响因子:
10
作者:
Clive AO;Kahan BC;Hooper CE;Bhatnagar R;Morley AJ;Zahan-Evans N;Bintcliffe OJ;Boshuizen RC;Fysh ET;Tobin CL;Medford AR;Harvey JE;van den Heuvel MM;Lee YC;Maskell NA
通讯作者:
Maskell NA
DOI:
10.1164/rccm.200504-588oc
发表时间:
2005-12-01
影响因子:
24.7
作者:
Chen, YQ;Shi, HZ;Wu, C
通讯作者:
Wu, C
影响因子:
64.5
作者:
Martin, Jerome C.;Chang, Christie;Kenigsberg, Ephraim
通讯作者:
Kenigsberg, Ephraim
DOI:
10.1038/nri3073
发表时间:
2011-10-14
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
通讯作者:
--
影响因子:
30.8
作者:
Dong J;Hu Z;Wu C;Guo H;Zhou B;Lv J;Lu D;Chen K;Shi Y;Chu M;Wang C;Zhang R;Dai J;Jiang Y;Cao S;Qin Z;Yu D;Ma H;Jin G;Gong J;Sun C;Zhao X;Yin Z;Yang L;Li Z;Deng Q;Wang J;Wu W;Zheng H;Zhou G;Chen H;Guan P;Peng Z;Chen Y;Shu Y;Xu L;Liu X;Liu L;Xu P;Han B;Bai C;Zhao Y;Zhang H;Yan Y;Amos CI;Chen F;Tan W;Jin L;Wu T;Lin D;Shen H
通讯作者:
Shen H