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Chen, Dongsheng; Tan, Cong; Ding, Peiwen; Luo, Lihua; Zhu, Jiacheng; Jiang, Xiaosen; Ou, Zhihua; Ding, Xiangning; Lan, Tianming; Zhu, Yixin; Jia, Yi; Wei, Yanan; Li, Runchu; Qin, Qiuyu; Sun, Chengcheng; Zhao, Wandong; Lv, Zhiyuan; Wang, Haoyu; Wu, Wendi; Yuan, Yuting; Pu, Mingyi; Li, Yuejiao; Zhang, Yanan; Chang, Ashley; Guo, Guoji; Bai, Yong; Jin, Xin; Liu, Huan
Nucleic acids research, 01/2022, Volume: 50, Issue: D1Journal Article
Abstract Viral infectious diseases are a devastating and continuing threat to human and animal health. Receptor binding is the key step for viral entry into host cells. Therefore, recognizing viral receptors is fundamental for understanding the potential tissue tropism or host range of these pathogens. The rapid advancement of single-cell RNA sequencing (scRNA-seq) technology has paved the way for studying the expression of viral receptors in different tissues of animal species at single-cell resolution, resulting in huge scRNA-seq datasets. However, effectively integrating or sharing these datasets among the research community is challenging, especially for laboratory scientists. In this study, we manually curated up-to-date datasets generated in animal scRNA-seq studies, analyzed them using a unified processing pipeline, and comprehensively annotated 107 viral receptors in 142 viruses and obtained accurate expression signatures in 2 100 962 cells from 47 animal species. Thus, the VThunter database provides a user-friendly interface for the research community to explore the expression signatures of viral receptors. VThunter offers an informative and convenient resource for scientists to better understand the interactions between viral receptors and animal viruses and to assess viral pathogenesis and transmission in species. Database URL: https://db.cngb.org/VThunter/.
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