单细胞基因组学数据集的整合。

Integration of Single-Cell Genomics Datasets.

机构信息

Department of Molecular & Medical Genetics, Knight Cardiovascular Institute, Knight Cancer Institute, Cancer Early-Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA.

出版信息

Cell. 2019 Jun 13;177(7):1677-1679. doi: 10.1016/j.cell.2019.05.034.

DOI:10.1016/j.cell.2019.05.034

PMID:31199914

Abstract

Welch et al. and Stuart et al. present novel techniques for the integration of single-cell RNA-seq datasets across multiple platforms, individuals, and species. They both extend these strategies to map cell types between RNA-seq datasets with epigenetic properties and in situ transcript profiling. The ability to transfer information between datasets and spatial methods will enable more comprehensive profiling and comparisons of cell populations in complex biological systems.

摘要

Welch 等人和 Stuart 等人提出了用于整合跨多个平台、个体和物种的单细胞 RNA-seq 数据集的新方法。他们都将这些策略扩展到了具有表观遗传特性和原位转录谱的 RNA-seq 数据集之间的细胞类型映射。在数据集和空间方法之间传输信息的能力将使更全面的分析和比较复杂生物系统中的细胞群体成为可能。