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通过微孔测序绘制跨物种的哺乳动物成年肾上腺层级图谱。

Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq.

作者信息

Lai Shujing, Ma Lifeng, E Weigao, Ye Fang, Chen Haide, Han Xiaoping, Guo Guoji

机构信息

Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.

出版信息

Cell Regen. 2020 Aug 3;9(1):11. doi: 10.1186/s13619-020-00042-8.

Abstract

Recently, single-cell RNA-seq technologies have been rapidly updated, leading to a revolution in biology. We previously developed Microwell-seq, a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq) method with a very simple device. Most cDNA libraries are sequenced using an expensive Illumina platform. Here, we present the first report showing combined Microwell-seq and BGI MGISEQ2000, a less expensive sequencing platform, to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters. Moreover, we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems. These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark, low-cost strategy for high-throughput single-cell RNA study.

摘要

最近,单细胞RNA测序技术迅速更新,引发了生物学领域的一场革命。我们之前开发了Microwell-seq,这是一种成本效益高且高通量的单细胞RNA测序(scRNA-seq)方法,其设备非常简单。大多数cDNA文库是使用昂贵的Illumina平台进行测序的。在此,我们首次报告展示了将Microwell-seq与成本较低的测序平台BGI MGISEQ2000相结合,以分析11883个成年小鼠肾上腺单个细胞的全转录组,并识别出18个转录上不同的细胞簇。此外,我们对人类和成年小鼠肾上腺进行了单细胞比较分析,以揭示这些哺乳动物系统中保守的遗传网络。这些结果为复杂的肾上腺层级结构提供了新的见解,并为高通量单细胞RNA研究提供了一种低成本的基准策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec20/7396412/cdf4746f72e8/13619_2020_42_Fig1_HTML.jpg

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