Fish SCT: a zebrafish-centric database for exploration and visualization of fish single-cell transcriptome  

作　　者：Cheng Guo Weidong Ye Mijuan Shi You Duan Wanting Zhang Yingyin Cheng Xiao-Qin Xia 

机构地区：[1]Institute of Hydrobiology,Chinese Academy of Sciences,Wuhan 430072,China [2]College of Advanced Agricultural Sciences,University of Chinese Academy of Sciences,Beijing 100049,China [3]The Innovative Academy of Seed Design,Chinese Academy of Sciences,Beijing 100101,China [4]The Joint Laboratory for Lung Development and Related Diseases of West China Second University Hospital,Sichuan University and School of Life Sciences of Fudan University,West China Institute of Women and Children’s Health,West China Second University Hospital,Sichuan University,Chengdu 610041,China [5]Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University),Ministry of Education,Chengdu 610041,China [6]NHC Key Laboratory of Chronobiology(Sichuan University),Chengdu 610000,China

出　　处：《Science China(Life Sciences)》2023年第9期2185-2188,共4页中国科学（生命科学英文版）

基　　金：supported by the National Key Research and Development Program of China (2021YFD1200804 and2018YFD0901201);the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA24010206);supported by the Wuhan Branch,Supercomputing Center,Chinese Academy of Sciences,China。

摘　　要：Dear Editor,Using sc RNA-seq technology, researchers may distinguish between different cell types and tissue heterogeneity as well as perform transcriptome investigations at the single-cell level (Regev et al., 2017). A significant amount of single-cell transcriptome data has been produced as a result of the technology’s quick development and widespread adoption.Research on other model species has also gathered a sizable quantity of transcriptome data at the single-cell level.

关 键 词：TRANSCRIPTOME FISH 

分 类 号：Q503[生物学—生物化学]