Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/179947
Title: Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity
Authors: Yu, Vanessa
Yong, Fiona
Marta, Angellica
Khadayate, Sanjay
Osakwe, Adrien
Bhattacharya, Supriyo
Varghese, Sneha S.
Chabosseau, Pauline
Tabibi, Sayed M.
Chen, Keran
Georgiadou, Eleni
Parveen, Nazia
Suleiman, Mara
Stamoulis, Zoe
Marselli, Lorella
De Luca, Carmela
Tesi, Marta
Ostinelli, Giada
Delgadillo-Silva, Luis
Wu, Xiwei
Hatanaka, Yuki
Montoya, Alex
Elliott, James
Patel, Bhavik
Demchenko, Nikita
Whilding, Chad
Hajkova, Petra
Shliaha, Pavel
Kramer, Holger
Ali, Yusuf
Marchetti, Piero
Sladek, Robert
Dhawan, Sangeeta
Withers, Dominic J.
Rutter, Guy A.
Millership, Steven J.
Keywords: Medicine, Health and Life Sciences
Issue Date: 2024
Source: Yu, V., Yong, F., Marta, A., Khadayate, S., Osakwe, A., Bhattacharya, S., Varghese, S. S., Chabosseau, P., Tabibi, S. M., Chen, K., Georgiadou, E., Parveen, N., Suleiman, M., Stamoulis, Z., Marselli, L., De Luca, C., Tesi, M., Ostinelli, G., Delgadillo-Silva, L., ...Millership, S. J. (2024). Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity. Diabetologia, 67(6), 1079-1094. https://dx.doi.org/10.1007/s00125-024-06123-6
Project: MOE-T2EP30221-0003 
Journal: Diabetologia 
Abstract: Aims/hypothesis: Beta cells within the pancreatic islet represent a heterogenous population wherein individual sub-groups of cells make distinct contributions to the overall control of insulin secretion. These include a subpopulation of highly connected ‘hub’ cells, important for the propagation of intercellular Ca2+ waves. Functional subpopulations have also been demonstrated in human beta cells, with an altered subtype distribution apparent in type 2 diabetes. At present, the molecular mechanisms through which beta cell hierarchy is established are poorly understood. Changes at the level of the epigenome provide one such possibility, which we explore here by focusing on the imprinted gene Nnat (encoding neuronatin [NNAT]), which is required for normal insulin synthesis and secretion. Methods: Single-cell RNA-seq datasets were examined using Seurat 4.0 and ClusterProfiler running under R. Transgenic mice expressing enhanced GFP under the control of the Nnat enhancer/promoter regions were generated for FACS of beta cells and downstream analysis of CpG methylation by bisulphite sequencing and RNA-seq, respectively. Animals deleted for the de novo methyltransferase DNA methyltransferase 3 alpha (DNMT3A) from the pancreatic progenitor stage were used to explore control of promoter methylation. Proteomics was performed using affinity purification mass spectrometry and Ca2+ dynamics explored by rapid confocal imaging of Cal-520 AM and Cal-590 AM. Insulin secretion was measured using homogeneous time-resolved fluorescence imaging. Results: Nnat mRNA was differentially expressed in a discrete beta cell population in a developmental stage- and DNA methylation (DNMT3A)-dependent manner. Thus, pseudo-time analysis of embryonic datasets demonstrated the early establishment of Nnat-positive and -negative subpopulations during embryogenesis. NNAT expression is also restricted to a subset of beta cells across the human islet that is maintained throughout adult life. NNAT+ beta cells also displayed a discrete transcriptome at adult stages, representing a subpopulation specialised for insulin production, and were diminished in db/db mice. ‘Hub’ cells were less abundant in the NNAT+ population, consistent with epigenetic control of this functional specialisation. Conclusions/interpretation: These findings demonstrate that differential DNA methylation at Nnat represents a novel means through which beta cell heterogeneity is established during development. We therefore hypothesise that changes in methylation at this locus may contribute to a loss of beta cell hierarchy and connectivity, potentially contributing to defective insulin secretion in some forms of diabetes. Data availability: The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465.
URI: https://hdl.handle.net/10356/179947
ISSN: 0012-186X
DOI: 10.1007/s00125-024-06123-6
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Organisations: Singapore General Hospital 
Khoo Teck Puat Hospital 
Research Centres: Centre for Microbiome Medicine
Rights: © 2024 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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