Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Xianwen, Ren"'
Autor:
Boyi Cong, Xuan Dong, Zongheng Yang, Pin Yu, Yangyang Chai, Jiaqi Liu, Meihan Zhang, Yupeng Zang, Jingmin Kang, Yu Feng, Yi Liu, Weimin Feng, Dehe Wang, Wei Deng, Fengdi Li, Zhiqi Song, Ziqiao Wang, Xiaosu Chen, Hua Qin, Qinyi Yu, Zhiqing Li, Shuxun Liu, Xun Xu, Nanshan Zhong, Xianwen Ren, Chuan Qin, Longqi Liu, Jian Wang, Xuetao Cao
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract How the lung achieves immune homeostasis after a pulmonary infection is not fully understood. Here, we analyzed the spatiotemporal changes in the lungs over a 2-week natural recovery from severe pneumonia in a Syrian hamster model of SARS-Co
Externí odkaz:
https://doaj.org/article/733967fd5aa649879b1739b6ee8d6284
Autor:
Boyi Cong, Xuan Dong, Zongheng Yang, Pin Yu, Yangyang Chai, Jiaqi Liu, Meihan Zhang, Yupeng Zang, Jingmin Kang, Yu Feng, Yi Liu, Weimin Feng, Dehe Wang, Wei Deng, Fengdi Li, Zhiqi Song, Ziqiao Wang, Xiaosu Chen, Hua Qin, Qinyi Yu, Zhiqing Li, Shuxun Liu, Xun Xu, Nanshan Zhong, Xianwen Ren, Chuan Qin, Longqi Liu, Jian Wang, Xuetao Cao
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract How immune cells are spatiotemporally coordinated in the lung to effectively monitor, respond to, and resolve infection and inflammation in primed form needs to be fully illustrated. Here we apply immunocartography, a high-resolution techniq
Externí odkaz:
https://doaj.org/article/015bcc60a9774d3ca16d3606646e4482
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Computational deconvolution with single-cell RNA sequencing data as reference is pivotal to interpreting spatial transcriptomics data, but the current methods are limited to cell-type resolution. Here we present Redeconve, an algorithm to de
Externí odkaz:
https://doaj.org/article/efd6a527c0894d2cb9abb46fbbfdf678
Autor:
Zhiqing Li, Xiaosu Chen, Junyan Dan, Tianju Hu, Ye Hu, Shuxun Liu, Yangyang Chai, Yansong Shi, Jian Wu, Hailai Ni, Jiaqi Zhu, Yanfeng Wu, Nan Li, Yizhi Yu, Zhongfang Wang, Jincun Zhao, Nanshan Zhong, Xianwen Ren, Zhongyang Shen, Xuetao Cao
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 7, Iss 1, Pp 1-13 (2022)
Abstract SARS-CoV-2 Omicron variant infection generally gives rise to asymptomatic to moderate COVID-19 in vaccinated people. The immune cells can be reprogrammed or “imprinted” by vaccination and infections to generate protective immunity agains
Externí odkaz:
https://doaj.org/article/714ce9749901451387a2237267a7d75f
Autor:
Xiang Wang, Chunliang Liu, Jianan Chen, Lei Chen, Xianwen Ren, Minghui Hou, Xiuliang Cui, Youhai Jiang, Erdong Liu, Yali Zong, Anqi Duan, Xiaohui Fu, Wenlong Yu, Xiaofang Zhao, Zhao Yang, Yongjie Zhang, Jing Fu, Hongyang Wang
Publikováno v:
Cell Discovery, Vol 8, Iss 1, Pp 1-23 (2022)
Abstract Gallbladder carcinoma (GBC) is the most common biliary tract malignancy with the lowest survival rate, primarily arising from chronic inflammation. To better characterize the progression from inflammation to cancer to metastasis, we performe
Externí odkaz:
https://doaj.org/article/ce152101ca7c42889e92385b92cfb6e0
Autor:
Qiming Zhang, Siyuan Liu, Yedan Liu, Dev Bhatt, Juan Estrada, Brian Belmontes, Xianwen Ren, Jude Canon, Wenjun Ouyang
Publikováno v:
Advanced Genetics, Vol 3, Iss 4, Pp n/a-n/a (2022)
Abstract Liver metastasis is associated with immunotherapy resistance, although the underlying mechanisms remain incompletely understood. By applying single cell RNA‐sequencing to a concurrent subcutaneous and liver tumor murine model to recapitula
Externí odkaz:
https://doaj.org/article/f1e2283ed7594857ac645ecd89069993
Autor:
Lu Wen, Guoqiang Li, Tao Huang, Wei Geng, Hao Pei, Jialiang Yang, Miao Zhu, Pengfei Zhang, Rui Hou, Geng Tian, Wentao Su, Jian Chen, Dake Zhang, Pingan Zhu, Wei Zhang, Xiuxin Zhang, Ning Zhang, Yunlong Zhao, Xin Cao, Guangdun Peng, Xianwen Ren, Nan Jiang, Caihuan Tian, Zi-Jiang Chen
Publikováno v:
The Innovation, Vol 3, Iss 6, Pp 100342- (2022)
In recent years, more and more single-cell technologies have been developed. A vast amount of single-cell omics data has been generated by large projects, such as the Human Cell Atlas, the Mouse Cell Atlas, the Mouse RNA Atlas, the Mouse ATAC Atlas,
Externí odkaz:
https://doaj.org/article/1a78fa602643492a9ed17612682e5a2d
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 19, Iss 2, Pp 253-266 (2021)
Single-cell RNA sequencing (scRNA-seq) is generally used for profiling transcriptome of individual cells. The droplet-based 10X Genomics Chromium (10X) approach and the plate-based Smart-seq2 full-length method are two frequently used scRNA-seq platf
Externí odkaz:
https://doaj.org/article/95aff0e1a7e146288188f79a967fac53
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Single cell RNA-seq is a powerful method to assign cell identity, but the purity of cell clusters arising from this data is not clear. Here the authors present an entropy-based statistic called ROGUE to quantify the purity of cell clusters, and ident
Externí odkaz:
https://doaj.org/article/c2ec1f439bfd4b2a981eb0a38bcf1f51
Autor:
Chenwei Li, Baolin Liu, Boxi Kang, Zedao Liu, Yedan Liu, Changya Chen, Xianwen Ren, Zemin Zhang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
The increasing size of single cell sequencing data sets calls for scalable cell annotation methods. Here, the authors introduce SciBet, which uses a multinomial distribution model and maximum likelihood estimation for fast and accurate single cell id
Externí odkaz:
https://doaj.org/article/c160ac1e1a1e4a25b0baef251f5258dd