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Changli Ge
Publications - 5
Citations - 93
Changli Ge is an academic researcher. The author has contributed to research in topics: Gene & Computer science. The author has an hindex of 2, co-authored 2 publications receiving 19 citations.
Papers
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Journal ArticleDOI
CD163 and pAPN double-knockout pigs are resistant to PRRSV and TGEV and exhibit decreased susceptibility to PDCoV while maintaining normal production performance.
Kui Xu,Yanrong Zhou,Yulian Mu,Zhiguo Liu,Shaohua Hou,Yujian Xiong,Liurong Fang,Changli Ge,Wei Yinghui,Zhang Xiuling,Changjiang Xu,Jingjing Che,Ziyao Fan,Guangming Xiang,Jiankang Guo,Haitao Shang,Hua Li,Shaobo Xiao,Li Julang,Kui Li +19 more
TL;DR: Generation of double-gene-knockout (DKO) pigs harboring edited knockout alleles for known receptor proteins CD163 and pAPN are reported and it is shown that DKO pigs are completely resistant to genotype 2 PRRSV and TGEV.
Journal ArticleDOI
Identification of Distinct Immune Cell Subsets Associated With Asymptomatic Infection, Disease Severity, and Viral Persistence in COVID-19 Patients
Xiaorui Wang,Han Bai,Junpeng Ma,Hongyu Qi,Qiqi Zeng,Fang Hu,Tao Jiang,Weikang Mao,Yang Zhao,Xiaobei Chen,Xin Qi,MengYang Li,Jiao Xu,Jingcan Hao,Yankui Wang,Xi Ding,Yuanrui Liu,Chao Fang,Changli Ge,Dong Li,Ke Hu,Xianwen Ren,Baojun Zhang,Ning Zhang,Bingyin Shi,Chengsheng Zhang +25 more
TL;DR: 76 distinct cell subsets in the PBMC samples that were associated with various clinical presentations of COVID-19 are identified using scRNA-seq technology coupled with a deep and comprehensive analysis of unique cell surface markers and differentially expressed genes.
Journal ArticleDOI
OmicStudio: A composable bioinformatics cloud platform with real‐time feedback that can generate high‐quality graphs for publication
Fengye Lyu,Feiran Han,Changli Ge,Weikang Mao,Li Chen,Huipeng Hu,Guoguo Chen,Qiulei Lang,Chao Fang +8 more
TL;DR: OmicStudio as discussed by the authors is a one-stop online analysis platform providing high-throughput omics data analysis, as well as an exploratory platform for bioinformatics research, which focuses on speed, quality together with flexibility.
Patent
Method for preparing CD163 gene and CD13 gene knockout porcine fibroblasts
Li Kui,Mou Yulian,Liu Zhiguo,Li Julang,Xu Kui,Wei Yinghui,Changli Ge,Cai Xuehui,Long Wang,Chen Qimei,Qiu Yang +10 more
TL;DR: In this article, a dual gene knockout vector system is proposed, which includes a CD163 gene and a CD13 gene knockout vectors, where the vector system includes a gene editing vector skeleton and a DNA fragment linked to the vector skeleton, and the nucleotide sequence of the DNA fragment is represented by any one of SEQ ID No.
Posted ContentDOI
An integrated approach to protein discovery and detection from complex biofluids
Gordon T. Luu,Changli Ge,Yisha Tang,Kailiang Li,S. Cologna,Joanna E. Burdette,Judith Su,Laura M. Sanchez +7 more
TL;DR: An untargeted mass spectrometry microprotein profiling method is developed and identified a signature of cystatin A, validated this protein in an animal model, and sought to overcome the limits of detection inherent to mass Spectrometry by demonstrating that cystatar A is present at 100 pM concentrations using a label-free microtoroid resonator.