Author: Wen Wen; Wenru Su; Hao Tang; Wenqing Le; Xiaopeng Zhang; Yingfeng Zheng; XiuXing Liu; Lihui Xie; Jianmin Li; Jinguo Ye; Xiuliang Cui; Yushan Miao; Depeng Wang; Jiantao Dong; Chuan-Le Xiao; Wei Chen; Hongyang Wang
Title: Immune Cell Profiling of COVID-19 Patients in the Recovery Stage by Single-Cell Sequencing Document date: 2020_3_27
ID: 8aezcyf9_29
Snippet: We also performed DEG analysis, via unsupervised clustering analysis, and found an overactivated inflammatory state in pro-T cells (Fig. S4C ). Next, we took the average of inflammatory genes for each NKT cell subset scRNA-seq subset in the COVID-19 patients versus normal RNA-seq data ( Fig. S4D ). author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: We also performed DEG analysis, via unsupervised clustering analysis, and found an overactivated inflammatory state in pro-T cells (Fig. S4C ). Next, we took the average of inflammatory genes for each NKT cell subset scRNA-seq subset in the COVID-19 patients versus normal RNA-seq data ( Fig. S4D ). author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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