Li Jin, Klughammer Johanna, Farlik Matthias, Penz Thomas, Spittler Andreas, Barbieux Charlotte, Berishvili Ekaterine, Bock Christoph, Kubicek Stefan
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Medical University of Vienna Anna Spiegel Forschungsgebäude, Vienna, Austria.
EMBO Rep. 2016 Feb;17(2):178-87. doi: 10.15252/embr.201540946. Epub 2015 Dec 21.
Pancreatic islets of Langerhans contain several specialized endocrine cell types, which are commonly identified by the expression of single marker genes. However, the established marker genes cannot capture the complete spectrum of cellular heterogeneity in human pancreatic islets, and existing bulk transcriptome datasets provide averages across several cell populations. To dissect the cellular composition of the human pancreatic islet and to establish transcriptomes for all major cell types, we performed single-cell RNA sequencing on 70 cells sorted from human primary tissue. We used this dataset to validate previously described marker genes at the single-cell level and to identify specifically expressed transcription factors for all islet cell subtypes. All data are available for browsing and download, thus establishing a useful resource of single-cell expression profiles for endocrine cells in human pancreatic islets.
朗格汉斯胰岛包含几种特殊的内分泌细胞类型,这些细胞类型通常通过单一标记基因的表达来识别。然而,已确立的标记基因无法捕捉人类胰岛细胞异质性的完整范围,现有的大量转录组数据集提供的是几个细胞群体的平均值。为了剖析人类胰岛的细胞组成并建立所有主要细胞类型的转录组,我们对从人类原代组织中分选出来的70个细胞进行了单细胞RNA测序。我们利用这个数据集在单细胞水平上验证先前描述的标记基因,并识别所有胰岛细胞亚型中特异性表达的转录因子。所有数据均可浏览和下载,从而建立了一个有用的人类胰岛内分泌细胞单细胞表达谱资源。