Single-cell transcriptomes reveal characteristic features of human pancreatic islet cell types

被引:191
作者
Li, Jin [1 ]
Klughammer, Johanna [1 ]
Farlik, Matthias [1 ]
Penz, Thomas [1 ]
Spittler, Andreas [2 ]
Barbieux, Charlotte [3 ]
Berishvili, Ekaterine [3 ]
Bock, Christoph [1 ,4 ,5 ]
Kubicek, Stefan [1 ,6 ]
机构
[1] Austrian Acad Sci, CeMM Res Ctr Mol Med, A-1010 Vienna, Austria
[2] Med Univ Vienna, Anna Spiegel Forschungsgebaude, Vienna, Austria
[3] Univ Geneva, Univ Hosp Geneva, Dept Surg, Cell Isolat & Transplantat Ctr, Geneva, Switzerland
[4] Med Univ Vienna, Dept Lab Med, Vienna, Austria
[5] Max Planck Inst Informat, D-66123 Saarbrucken, Germany
[6] Austrian Acad Sci, Christian Doppler Lab Chem Epigenet & Antiinfect, CeMM Res Ctr Mol Med, A-1010 Vienna, Austria
基金
奥地利科学基金会;
关键词
alpha cells; beta cells; diabetes; marker genes; single-cell RNA-seq; RNA-SEQ; BETA-CELLS; GENE-EXPRESSION; GENOME; ALPHA; LANGERHANS; ALIGNMENT; LENGTH;
D O I
10.15252/embr.201540946
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:178 / 187
页数:10
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