scMCA:一种基于单细胞数字表达定义小鼠细胞类型的工具。
scMCA: A Tool to Define Mouse Cell Types Based on Single-Cell Digital Expression.
作者信息
Sun Huiyu, Zhou Yincong, Fei Lijiang, Chen Haide, Guo Guoji
机构信息
Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Stem Cell Institute, Zhejiang University, Hangzhou, China.
出版信息
Methods Mol Biol. 2019;1935:91-96. doi: 10.1007/978-1-4939-9057-3_6.
For decades, people have been trying to define cell type with the combination of expressed genes. The choice of the limited number of genes for the classification limits the precision of this system. Here, we build a "single-cell Mouse Cell Atlas (scMCA) analysis" pipeline based on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and then use the tool "scMCA" to match single-cell digital expression to its closest cell type.
几十年来,人们一直试图通过表达基因的组合来定义细胞类型。用于分类的有限数量基因的选择限制了该系统的精确性。在此,我们基于涵盖所有小鼠细胞类型的scRNA-seq数据集构建了一个“单细胞小鼠细胞图谱(scMCA)分析”流程。我们构建了scMCA参考,然后使用“scMCA”工具将单细胞数字表达与其最接近的细胞类型进行匹配。