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NSP16 promotes the expression of TMPRSS2 to enhance SARS-CoV-2 cell entry
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作者 Tianyu Han Jiapeng Lei +5 位作者 Yang Liu Yanan Wang Wenze Xun qifan hu Qi Peng Wei Zhang 《Genes & Diseases》 SCIE CSCD 2023年第3期723-726,共4页
Since the end of 2019,COVID-19 has caused worldwide pandemic.SARS-CoV-2,the culprit of this epidemic,binds to the host receptor Angiotensin converting enzyme 2(ACE2)using spike(S)protein for cell entry.Recent studies ... Since the end of 2019,COVID-19 has caused worldwide pandemic.SARS-CoV-2,the culprit of this epidemic,binds to the host receptor Angiotensin converting enzyme 2(ACE2)using spike(S)protein for cell entry.Recent studies showed that ACE2 expressed at a low level in the main target organs such as lung and bronchial tissues.How SARS-CoV-2 efficiently invades into the respiratory system or other organs with low levels of ACE2 is an urgent problem to be solved. 展开更多
关键词 ACE2 NSP1 ORGANS
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Highly Regional Genes:graph-based gene selection for single-cell RNA-seq data
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作者 Yanhong Wu qifan hu +6 位作者 Shicheng Wang Changyi Liu Yiran Shan Wenbo Guo Rui Jiang Xiaowo Wang Jin Gu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2022年第9期891-899,共9页
Gene selection is an indispensable step for analyzing noisy and high-dimensional single-cell RNA-seq(scRNA-seq)data.Compared with the commonly used variance-based methods,by mimicking the human maker selection in the ... Gene selection is an indispensable step for analyzing noisy and high-dimensional single-cell RNA-seq(scRNA-seq)data.Compared with the commonly used variance-based methods,by mimicking the human maker selection in the 2D visualization of cells,a new feature selection method called HRG(Highly Regional Genes)is proposed to find the informative genes,which show regional expression patterns in the cell-cell similarity network.We mathematically find the optimal expression patterns that can maximize the proposed scoring function.In comparison with several unsupervised methods,HRG shows high accuracy and robustness,and can increase the performance of downstream cell clustering and gene correlation analysis.Also,it is applicable for selecting informative genes of sequencing-based spatial transcriptomic data. 展开更多
关键词 Single-cell RNA-sequencing Feature selection Spatially resolved transcriptomic data Regional patterns Graphical models
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