Comment[ArrayExpressAccession] E-GEOD-68853 MAGE-TAB Version 1.1 Public Release Date 2016-06-02 Investigation Title Identification of proliferative and mature β-cells in the islet of Langerhans Comment[Submitted Name] Identification of proliferative and mature β-cells in the islet of Langerhans Experiment Description Insulin-dependent diabetes is a complex multifactorial disorder characterized by loss or dysfunction of β-cells. Pancreatic β-cells differ in size, glucose responsiveness, insulin secretion and precursor cell potential1-5, thus understanding the mechanisms underlying this functional heterogeneity might allow novel regenerative approaches. Here we discovered Flattop (Fltp) as a biomarker that distinguishes proliferative from mature β-cells. Genetic lineage tracing revealed that these β-cell subpopulations react differentially to environmental changes. Upon insulin resistance Fltp- β-cells undergo compensatory proliferation, whereas Fltp-lineage+ β-cells account for islet cell hypertrophy commonly associated with cytotoxic stress. The expression of the Wnt/planar cell polarity (PCP) effector gene Fltp increases when naïve β-cells cluster together to form polarized and mature three-dimensional (3D) islet mini-organs6-8. We show that dispersed early postnatal islet cells, insulinoma cells and human β-cells all have the intrinsic ability to form polarized pseudo-islets in 3D cultures. Compaction and polarization correlates with the induction of maturation markers and can be enhanced by Wnt/PCP pathway activation. Finally, we show that Fltp is not only a marker for mature β-cells, but is also functionally required for proper insulin secretion in mouse and human. We conclude that planar cell polarity and 3D architecture underlie functional β-cell heterogeneity and report that Fltp is a biomarker that separates proliferative from mature β-cells. These findings establish novel molecular underpinnings of β-cells and enable targeting of subpopulations for the regeneration of functional β-cell mass in diabetic patients. We performed gene expression microarray analysis on two FACS-sorted pancreatic islet cell populations: flattop-positive and flattop-negative. Term Source Name ArrayExpress EFO Term Source File http://www.ebi.ac.uk/arrayexpress/ http://www.ebi.ac.uk/efo/efo.owl Person Last Name Beckers Bader Migliorini Gegg Moruzzi Gerdes Bakhti Irmler Beckers Aichler Feuchtinger Leitzinger Zischka Wang-Sattler Machicao Staiger Haering Chmelova Chouinard Moruzzi Speier Lickert Person First Name Johannes Erik Adriana Moritz Noah Jantje Mostafa Martin Johannes Michaela Annette Christin Hans Rui Fausto Harald Hans Helena Julie Noah Stephan Heiko Person Mid Initials U Person Email beckers@helmholtz-muenchen.de Person Affiliation Helmholtz Zentrum Muenchen Person Address Institute of Experimental Genetics, Helmholtz Zentrum Muenchen, Ingolstaedter Landstr. 1, Neuherberg, Germany Person Roles submitter Protocol Name P-GSE68853-1 P-GSE68853-5 P-GSE68853-6 P-GSE68853-2 P-GSE68853-3 P-GSE68853-4 P-GSE68853-7 Protocol Description RMA probeset summary with standard settings of the Affymetrix Expression Console software (v.1.3.0.187) including median polish and Sketch-Quantile normalisation. ID_REF = VALUE = RMA signal intensity (log2) Ovation PicoSL WTA System V2 and Encore Biotin Module (Nugen). According to the Affymetrix expression protocol (HWS kit). No treatment. Animals housed under spf conditions. miRNeasy Micro Kit (Qiagen) including DNase treatment. According to the Affymetrix expression protocol, Scanner 3000 7G. Protocol Type normalization data transformation protocol labelling protocol hybridization protocol sample treatment protocol growth protocol nucleic acid extraction protocol array scanning protocol Experimental Factor Name flattop status Experimental Factor Type flattop status Comment[SecondaryAccession] GSE68853 Comment[GEOReleaseDate] 2016-06-02 Comment[ArrayExpressSubmissionDate] 2015-05-13 Comment[GEOLastUpdateDate] 2016-06-02 Comment[AEExperimentType] transcription profiling by array SDRF File E-GEOD-68853.sdrf.txt