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pmid:38512414

Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity.

Vanessa Yu · Fiona Yong · Angellica Marta · Sanjay Khadayate · Adrien Osakwe · Supriyo Bhattacharya · Sneha S Varghese · Pauline Chabosseau · Sayed M Tabibi · Keran Chen · Eleni Georgiadou · Nazia Parveen · Mara Suleiman · Zoe Stamoulis · Lorella Marselli · Carmela De Luca · Marta Tesi · Giada Ostinelli · Luis Delgadillo-Silva · Xiwei Wu · Yuki Hatanaka · Alex Montoya · James Elliott · Bhavik Patel · Nikita Demchenko · Chad Whilding · Petra Hajkova · Pavel Shliaha · Holger Kramer · Yusuf Ali · Piero Marchetti · Robert Sladek · Sangeeta Dhawan · Dominic J Withers · Guy A Rutter · Steven J Millership

Diabetologia · 2024 doi:10.1007/s00125-024-06123-6

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Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity.
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10.1007/s00125-024-06123-6
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Vanessa Yu
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Fiona Yong
[2]
Angellica Marta
[3]
Sanjay Khadayate
[4]
Adrien Osakwe
[5]
Supriyo Bhattacharya
[6]
Sneha S Varghese
[7]
Pauline Chabosseau
[8]
Sayed M Tabibi
[9]
Keran Chen
[10]
Eleni Georgiadou
[11]
Nazia Parveen
[12]
Mara Suleiman
[13]
Zoe Stamoulis
[14]
Lorella Marselli
[15]
Carmela De Luca
[16]
Marta Tesi
[17]
Giada Ostinelli
[18]
Luis Delgadillo-Silva
[19]
Xiwei Wu
[20]
Yuki Hatanaka
[21]
Alex Montoya
[22]
James Elliott
[23]
Bhavik Patel
[24]
Nikita Demchenko
[25]
Chad Whilding
[26]
Petra Hajkova
[27]
Pavel Shliaha
[28]
Holger Kramer
[29]
Yusuf Ali
[30]
Piero Marchetti
[31]
Robert Sladek
[32]
Sangeeta Dhawan
[33]
Dominic J Withers
[34]
Guy A Rutter
[35]
Steven J Millership
journal
Diabetologia
year
2024
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.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38512414", "kind": "science-record", "revision": 3, "content_hash": "sha256:16a9ed423a603e7e742ffad928e836f043b1c9fed78bfd8fb38d0738c4460ddb", "created_at": "2026-11-01T19:20:27Z", "updated_at": "2026-11-01T21:32:44Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity.", "doi": "10.1007/s00125-024-06123-6", "pmid": "38512414", "authors": ["Vanessa Yu", "Fiona Yong", "Angellica Marta", "Sanjay Khadayate", "Adrien Osakwe", "Supriyo Bhattacharya", "Sneha S Varghese", "Pauline Chabosseau", "Sayed M Tabibi", "Keran Chen", "Eleni Georgiadou", "Nazia Parveen", "Mara Suleiman", "Zoe Stamoulis", "Lorella Marselli", "Carmela De Luca", "Marta Tesi", "Giada Ostinelli", "Luis Delgadillo-Silva", "Xiwei Wu", "Yuki Hatanaka", "Alex Montoya", "James Elliott", "Bhavik Patel", "Nikita Demchenko", "Chad Whilding", "Petra Hajkova", "Pavel Shliaha", "Holger Kramer", "Yusuf Ali", "Piero Marchetti", "Robert Sladek", "Sangeeta Dhawan", "Dominic J Withers", "Guy A Rutter", "Steven J Millership"], "journal": "Diabetologia", "year": 2024, "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.\nMETHODS: 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.\nRESULTS: 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.\nCONCLUSIONS/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.\nDATA AVAILABILITY: The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465.", "claims": [{"id": "claim-method", "statement": "Data were assessed using GraphPad Prism 9.0, with <5% error probability considered significant (i.e. p<0.05).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38512414", "locator": "sections[14] \"Statistical analysis\" paragraph 2", "quote": "Data were assessed using GraphPad Prism 9.0, with <5% error probability considered significant (i.e. p<0.05)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "RNA-seq data are available from the GEO under accession number GSE249659. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465. ImageJ scripts and CellProfiler pipelines can be made available upon reasonable request. Pseudo-time analysis scripts are available via GitHub using the link https://github.com/aosakwe/Pseudotime_Analysis_MouseIslets. Transcriptomic data for ob/ob mice can be obtained from a publicly available source from the Alan Attie laboratory (http://diabetes.wisc.edu/search).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38512414", "locator": "sections[28] \"notes\" paragraph 1", "quote": "RNA-seq data are available from the GEO under accession number GSE249659. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465. ImageJ scripts and CellProfiler pipelines can be made available upon reasonable request. Pseudo-time analysis scripts are available via GitHub using the link https://github.com/aosakwe/Pseudotime_Analysis_MouseIslets. Transcriptomic data for ob/ob mice can be obtained from a publicly available source from the Alan Attie laboratory (http://diabetes.wisc.edu/search)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "These findings demonstrate that differential DNA methylation at Nnat represents a novel means through which beta cell heterogeneity is established during development.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38512414", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "These findings demonstrate that differential DNA methylation at Nnat represents a novel means through which beta cell heterogeneity is established during development."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "These findings demonstrate that differential DNA methylation at Nnat represents a novel means through which beta cell heterogeneity is established during development.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:38512414"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE249659"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE249659"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38512414", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s00125-024-06123-6", "sha256": "sha256:3e0823ff8a9410cda5fd82375bfe107bf33e4bb2c80f24f3a168ac615835d548", "bytes": 48632, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s00125-024-06123-6", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11058053", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE249659", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249659", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE249659", "version": null, "note": "RNA-seq data are available from the GEO under accession number GSE249659. 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Pseudo-time analysis scripts are available via GitHub using the link https://github.com/aosakwe/Pseudotime_Analysis_MouseIslets. 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The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465. ImageJ scripts and CellProfiler pipelines can be made available upon reasonable request. Pseudo-time analysis scripts are available via GitHub using the link https://github.com/aosakwe/Pseudotime_Analysis_MouseIslets. Transcriptomic data for ob/ob mice can be obtained from a publicly available source from the Alan Attie laboratory (http://diabetes.wisc.edu/search).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "RNA-seq data are available from the GEO under accession number GSE249659. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048465. ImageJ scripts and CellProfiler pipelines can be made available upon reasonable request. Pseudo-time analysis scripts are available via GitHub using the link https://github.com/aosakwe/Pseudotime_Analysis_MouseIslets. 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METHODS: Single-cell RNA-seq datasets were examined using Seurat 4.0 and"], "order_basis": "paper_text_order:853", "id": "assay:1"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ynthesis and secretion. METHODS: Single-cell RNA-seq datasets were examined using Seurat 4.0 and", "CpG methylation by bisulphite sequencing and RNA-seq, respectively. Animals deleted for the de no", ". NNAT+ beta cells also displayed a discrete transcriptome at adult stages, representing a subpopulatio"], "order_basis": "paper_text_order:865", "id": "assay:2"}, {"role": "data_generation", "definition_id": "flow_cytometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["enhancer/promoter regions were generated for FACS of beta cells and downstream analysis of CpG"], "order_basis": "paper_text_order:1065", "id": "assay:3"}, {"role": "data_generation", "definition_id": "mass_spectrometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["cs was performed using affinity purification mass spectrometry and Ca2+ dynamics explored by rapid confocal", "me forms of diabetes. DATA AVAILABILITY: The mass spectrometry proteomics data have been deposited to the P", "to explore control of promoter methylation. Proteomics was performed using affinity purification ma", "es. DATA AVAILABILITY: The mass spectrometry proteomics data have been deposited to the ProteomeXcha"], "order_basis": "paper_text_order:1360", "id": "assay:4"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["rial (ESM) Methods. Animal models Transgenic mouse lines expressing Cre recombinase under the c", "P) expression were purchased from the Mutant Mouse Resource and Research Centre (MMRRC, USA) re", "ing Cre recombinase under the control of the rat insulin promoter (RIP) [43] and with a tdTom", ", RNA silencing and GSIS Human EndoC-βH1 and rat INS1E beta cells were cultured as previously"], "order_basis": "paper_text_order:3039", "id": "assay:5"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["ressing an NNAT-targeting short hairpin RNA (shRNA; Sigma-Aldrich) or Silencer Select siRNAs (A"], "order_basis": "paper_text_order:3933", "id": "assay:6"}]}