J
Jiesheng Li
Researcher at Peking University
Publications - 7
Citations - 424
Jiesheng Li is an academic researcher from Peking University. The author has contributed to research in topics: Immune system & Gene. The author has an hindex of 3, co-authored 4 publications receiving 121 citations.
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Journal ArticleDOI
COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.
Xianwen Ren,Wen Wen,Xiaoying Fan,Wenhong Hou,Bin Su,Pengfei Cai,Jiesheng Li,Yang Liu,Fei Tang,Fan Zhang,Yu Yang,Jiangping He,Wenji Ma,Jingjing He,Pingping Wang,Qiqi Cao,Fangjin Chen,Yuqing Chen,Xuelian Cheng,Guohong Deng,Xilong Deng,Wenyu Ding,Wenyu Ding,Yingmei Feng,Rui Gan,Chuang Guo,Weiqiang Guo,Shuai He,Chen Jiang,Juanran Liang,Yimin Li,Jun Lin,Yun Ling,Haofei Liu,Jianwei Liu,Nianping Liu,Shu-Qiang Liu,Meng Luo,Qiang Ma,Qibing Song,Wujianan Sun,Gaoxiang Wang,Feng Wang,Ying Wang,Xiaofeng Wen,Qian Wu,Gang Xu,Xiaowei Xie,Xinxin Xiong,Xudong Xing,Hao Xu,Chonghai Yin,Dongdong Yu,Kezhuo Yu,Jin Yuan,Biao Zhang,Peipei Zhang,Peipei Zhang,Peipei Zhang,Tong Zhang,Jincun Zhao,Peidong Zhao,Jianfeng Zhou,Wei Zhou,Sujuan Zhong,Xiaosong Zhong,Shuye Zhang,Lin Zhu,Ping Zhu,Bin Zou,Jiahua Zou,Zengtao Zuo,Fan Bai,Xi Huang,Penghui Zhou,Qinghua Jiang,Zhiwei Huang,Jin-Xin Bei,Lai Wei,Xiu-Wu Bian,Xiu-Wu Bian,Xindong Liu,Xindong Liu,Tao Cheng,Xiangpan Li,Pingsen Zhao,Fu-Sheng Wang,Hongyang Wang,Bing Su,Zheng Zhang,Kun Qu,Xiaoqun Wang,Jiekai Chen,Ronghua Jin,Zemin Zhang +94 more
TL;DR: In this article, the authors applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells.
Journal ArticleDOI
Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients
Chao Zhang,Jiesheng Li,Yongqian Cheng,Fanping Meng,Jin-Wen Song,Xing Fan,Hongtao Fan,Jing Li,Yuejun Fu,Ming-Ju Zhou,Wei Hu,Siyu Wang,Yuansong Fu,Ji-Yuan Zhang,Ruonan Xu,Min Shi,Xueda Hu,Zemin Zhang,Xianwen Ren,Fu-Sheng Wang +19 more
TL;DR: This study dissects the coordinated immune responses for different HBV infection phases and provides a rich resource for fully understanding immunopathogenesis and developing effective therapeutic strategies.
Journal ArticleDOI
Landscape of transcript isoforms in single T cells infiltrating in non-small-cell lung cancer
TL;DR: A computational method named IDEA (Isoform Detection, Enrichment, and functional Annotation) is proposed to comprehensively detect and annotate differentially used isoforms across cell subtypes to shed new light on the regulatory mechanisms of tumor-infiltrating T cells.
Posted ContentDOI
Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients
Xianwen Ren,Wen Wen,Xiaoying Fan,Wenhong Hou,Bin Su,Pengfei Cai,Jiesheng Li,Fei Tang,Fan Zhang,Yu Yang,Jiangping He,Wenji Ma,Jingjing He,Pingping Wang,Qiqi Cao,Fangjin Chen,Yuqing Chen,Xuelian Cheng,Guohong Deng,Wenyu Ding,Wenyu Ding,Yingmei Feng,Rui Gan,Chuang Guo,Shuai He,Chen Jiang,Juanran Liang,Yi-Min Li,Jun Lin,Yun Ling,Haofei Liu,Jianwei Liu,Nianping Liu,Yang Liu,Meng Luo,Qiang Ma,Qibing Song,Wujianan Sun,Gaoxiang Wang,Feng Wang,Ying Wang,Xiaofeng Wen,Qian Wu,Xiaowei Xie,Xinxin Xiong,Xudong Xing,Hao Xu,Chonghai Yin,Dongdong Yu,Kezhuo Yu,Biao Zhang,Tong Zhang,Jincun Zhao,Peidong Zhao,Jianfeng Zhou,Wei Zhou,Sujuan Zhong,Xiaosong Zhong,Shuye Zhang,Lin Zhu,Ping Zhu,Bing Zou,Jiahua Zou,Zengtao Zuo,Fan Bai,Xi Huang,Xiu-Wu Bian,Penghui Zhou,Qinghua Jiang,Zhiwei Huang,Jin-Xin Bei,Lai Wei,Xindong Liu,Tao Cheng,Xiangpan Li,Fu-Sheng Wang,Hongyang Wang,Bing Su,Kun Qu,Xiaoqun Wang,Jiekai Chen,Ronghua Jin,Zemin Zhang +82 more
TL;DR: Lymphopenia and active T and B cell responses coexist and are shaped by age and sex SARS-CoV-2 infects diverse epithelial and immune cells, inducing distinct responses Cytokine storms with systemic S100A8/A9 are associated with COVID-19 severity.
Posted ContentDOI
Landscape of transcript isoforms in single T cells infiltrating in non-small cell lung cancer
TL;DR: A computational method named as IDEA is proposed to comprehensively detect and annotate differentially used isoforms across cell subtypes and sheds new lights into the regulatory mechanisms of tumor-infiltrating T cells.