Tanaka Yoshiaki
Maisonneuve-Rosemont Hospital Research Centre (CRHMR), Department of Medicine, University of Montreal, Montreal, Quebec, Canada.
PLoS Biol. 2024 Dec 18;22(12):e3002965. doi: 10.1371/journal.pbio.3002965. eCollection 2024 Dec.
Integrative analysis of publicly available scRNA-seq data facilitates deeper understanding of biological phenomena with strong statistical power and high resolution. A new study in this issue of PLOS Biology examined the fidelity of various brain organoid protocols in reference to human primary developing brain by gene co-expression relationships with million-scale collection of public scRNA-seq data sets.
对公开可用的单细胞RNA测序(scRNA-seq)数据进行综合分析,有助于凭借强大的统计能力和高分辨率更深入地理解生物学现象。本期《公共科学图书馆·生物学》(PLOS Biology)上的一项新研究,通过与数百万规模的公共scRNA-seq数据集的基因共表达关系,参照人类原发性发育中的大脑,研究了各种脑类器官方案的保真度。