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多种人类干细胞之间基因表达多样性的综合比较。

Comprehensive comparison of gene expression diversity among a variety of human stem cells.

作者信息

Yamatani Yukiyo, Nakai Kenta

机构信息

Department of Computational Biology and Medical Sciences, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan.

Human Genome Center, the Institute of Medical Science, the University of Tokyo, 4-6-1 Shirokanedai Minato-ku, Tokyo 108-8639, Japan.

出版信息

NAR Genom Bioinform. 2022 Nov 29;4(4):lqac087. doi: 10.1093/nargab/lqac087. eCollection 2022 Dec.

Abstract

Several factors, including tissue origins and culture conditions, affect the gene expression of undifferentiated stem cells. However, understanding the basic identity across different stem cells has not been pursued well despite its importance in stem cell biology. Thus, we aimed to rank the relative importance of multiple factors to gene expression profile among undifferentiated human stem cells by analyzing publicly available RNA-seq datasets. We first conducted batch effect correction to avoid undefined variance in the dataset as possible. Then, we highlighted the relative impact of biological and technical factors among undifferentiated stem cell types: a more influence on tissue origins in induced pluripotent stem cells than in other stem cell types; a stronger impact of culture condition in embryonic stem cells and somatic stem cell types, including mesenchymal stem cells and hematopoietic stem cells. In addition, we found that a characteristic gene module, enriched in histones, exhibits higher expression across different stem cell types that were annotated by specific culture conditions. This tendency was also observed in mouse stem cell RNA-seq data. Our findings would help to obtain general insights into stem cell quality, such as the balance of differentiation potentials that undifferentiated stem cells possess.

摘要

包括组织来源和培养条件在内的多种因素会影响未分化干细胞的基因表达。然而,尽管了解不同干细胞之间的基本特性在干细胞生物学中具有重要意义,但这一点尚未得到充分研究。因此,我们旨在通过分析公开可用的RNA测序数据集,对未分化人类干细胞中多种因素对基因表达谱的相对重要性进行排序。我们首先进行批次效应校正,以尽可能避免数据集中存在不确定的方差。然后,我们突出了未分化干细胞类型中生物学和技术因素的相对影响:诱导多能干细胞中组织来源的影响比其他干细胞类型更大;培养条件对胚胎干细胞和包括间充质干细胞和造血干细胞在内的体干细胞类型影响更强。此外,我们发现一个富含组蛋白的特征基因模块,在通过特定培养条件注释的不同干细胞类型中表现出更高的表达。在小鼠干细胞RNA测序数据中也观察到了这种趋势。我们的研究结果将有助于深入了解干细胞质量,例如未分化干细胞所具有的分化潜能的平衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d347/9706419/a46d1841a97b/lqac087fig1.jpg

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