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Age-Dependent Pancreatic Gene Regulation Reveals Mechanisms Governing Human β Cell Function
Open accessAbstract
Intensive efforts are focused on identifying regulators of human pancreatic islet cell growth and maturation to accelerate development of therapies for diabetes. After birth, islet cell growth and function are dynamically regulated; however, establishing these age-dependent changes in humans has been challenging. Here, we describe a multimodal strategy for isolating pancreatic endocrine and exocrine cells from children and adults to identify age-dependent gene expression and chromatin changes on a genomic scale. These profiles revealed distinct proliferative and functional states of islet α cells or β cells and histone modifications underlying age-dependent gene expression changes. Expression of SIX2 and SIX3, transcription factors without prior known functions in the pancreas and linked to fasting hyperglycemia risk, increased with age specifically in human islet β cells. SIX2 and SIX3 were sufficient to enhance insulin content or secretion in immature β cells. Our work provides a unique resource to study human-specific regulators of islet cell maturation and function.
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“A DE study analyzing age-dependent gene regulation in human pancreas56 was used to get pancreas cell type specific priors.”
From scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies (2021) · cites this paper as [56]
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An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationDifferential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Self-citationOpen source clustering software
de Hoon, M., Imoto, S., Nolan, J., & Miyano, S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth078 · Cited by 3,047
Histone modifications at human enhancers reflect global cell-type-specific gene expression
Heintzman, N. D., Hon, G. C., Hawkins, R. D., Kheradpour, P., Stark, A., Harp, L. F., Ye, Z., Lee, L. K., Stuart, R. K., Ching, C. W., et al. (2009) · Nature · doi:10.1038/nature07829 · Cited by 2,533
Generation of Functional Human Pancreatic β Cells In Vitro
Pagliuca, F. W., Millman, J. R., Gürtler, M., Segel, M., Van Dervort, A., Ryu, J. H., Peterson, Q. P., Greiner, D., & Melton, D. A. (2014) · Cell · doi:10.1016/j.cell.2014.09.040 · Cited by 2,025
Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity
Weirauch, M. T., Yang, A. W. H., Albu, M., Coté, A. G., Montenegro‐Montero, A., Drewe, P., Najafabadi, H. S., Lambert, S. A., Mann, I. K., Cook, K. B., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.009 · Cited by 1,749
Reversal of diabetes with insulin-producing cells derived in vitro from human pluripotent stem cells
Rezania, A., Bruin, J. E., Arora, P., Rubin, A., Batushansky, I., Asadi, A., O'Dwyer, S., Quiskamp, N., Mojibian, M., Albrecht, T., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3033 · Cited by 1,575
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Cell Type Purification by Single-Cell Transcriptome-Trained SortingPreprint
Baron, C. S., Barve, A., Muraro, M. J., Dharmadhikari, G., van der Linden, R., Lyubimova, A., de Koning, E. J. P., & van Oudenaarden, A. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3387654 · Cited by 1
Heterozygous Hnf1a Mutation in Mice Reveals Multiple Pathogenic Mechanisms of HNF1A-MODYPreprint
Bonner, C., Acosta-Montalvo, A., Louvet, I., Saponaro, C., Moreno-Lopez, M., Thévenet, J., Delalleau, N., Gmyr, V., Giacobini, P., Espiard, S., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6369014/v1 · Cited by 1
Searching for the β-Cell Fountain of Youth
Jouvet, N., & Estall, J. L. (2016) · Endocrinology · doi:10.1210/en.2016-1561
Synthetic biology technologies for beta cell generation
Saxena, P., Bojar, D., Zulewski, H., & Fussenegger, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814831-0.00030-0
Mušo, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817193-6.00015-7
Juan‐Mateu, J., Bajew, S., Miret-Cuesta, M., Iñiguez, L., López-Pascual, A., Bonnal, S., Atla, G., Bonàs‐Guarch, S., Ferrer, J. P., Valcárcel, J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.02.486809
HNF1α transcriptional activation and repression maintain human islet α and β cell functionPreprint
Qian, M. F., Bevacqua, R. J., Nguyen, V., Liu, X., Zhao, W., Chang, C., Gu, X., Dai, X.-Q., MacDonald, P. E., & Kim, S. K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.25.509394
Self-citation“FunDNAmethyl” Mechanism for Developmental Restriction of a β-Cell Subpopulation
Aguayo‐Mazzucato, C., & Stitzel, M. L. (2023) · Diabetes · doi:10.2337/dbi23-0001
Minimal SC-β-Cell Properties for Transplantation in Diabetic Patients
Cochrane, V. A., Xiao, Y., Maachi, H., & Hebrok, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-41943-0_22
Genetic Regulatory Networks Guiding Islet Development
Yu, X., Wang, X., Qiu, W., Yang, L., & Xu, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-41943-0_2
Imamura, H., Adachi, T., Miyamoto, D., Kin, T., Yamashita, M., Matsushima, H., Hara, T., Soyama, A., & Eguchi, S. (2024) · Research Square · doi:10.21203/rs.3.rs-3971970/v1
Liboz, A., Beaupère, C., Roblot, N., Tinévez, J.-Y., Guilmeau, S., Burnol, A., Ghueddouri, D., Prieur, X., Fève, B., Guillemain, G., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4789208 · Cited by 1
Saleem, S., Baig, S., Farrukh, S., & Shafiq, M. (2023) · Journal of Rawalpindi Medical College · doi:10.37939/jrmc.v27i4.2396
Imamura, H., Adachi, T., Miyamoto, D., Kin, T., Yamashita, M., Matsushima, H., Hara, T., Soyama, A., & Eguchi, S. (2024) · In Vivo · doi:10.21873/invivo.13679
BMP5 signalling in beta cells and the impact on insulin secretion in the context of type 2 diabetes
Dekker, E., de Winter, T. J. J., García, A. M., de Graaf, N., Roodzant, M. J., de Koning, E. J. P., & Carlotti, F. (2025) · Diabetologia · doi:10.1007/s00125-025-06457-9
Sturgill, D. M., Wang, L., & Arda, H. E. (2024) · Figshare · doi:10.6084/m9.figshare.25026016
Self-citationSturgill, D. M., Wang, L., & Arda, H. E. (2024) · Figshare · doi:10.6084/m9.figshare.26669244
Self-citationSturgill, D. M., Wang, L., & Arda, H. E. (2024) · Figshare · doi:10.6084/m9.figshare.26669241
Self-citationSturgill, D. M., Wang, L., & Arda, H. E. (2024) · Figshare · doi:10.6084/m9.figshare.25025849
Self-citationPipella, J., & Thompson, P. J. (2026) · Islets · doi:10.1080/19382014.2026.2706228
Mu-u-min, R., Diané, A., & Al-Siddiqi, H. (2026) · Biomolecules · doi:10.3390/biom16081076
Cochrane, V. A., Sterr, M., Aniag, M., Jiménez, S., Wang, M. S., Liu, Y., Boos, A., Merl‐Pham, J., Anand, A., Hoang, R. E., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.29.755533
Metadata
- Authors
- Arda, H. E., Li, L., Tsai, J., Torre, E. A., Rosli, Y., Peiris, H., Spitale, R. C., Dai, C., Gu, X., Qu, K., Wang, P., Wang, J., Grompe, M., Scharfmann, R., Snyder, M. S., Bottino, R., Powers, A. C., Chang, H. Y., & Kim, S. K.
- Affiliations
- Stanford Medicine (US)
- Vanderbilt University (US)
- Oregon Health & Science University (US)
- Allegheny Health Network (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Kim, Seung K.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 23
- Issue
- 5
- Pages
- 909-920
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC4864151
- OpenAlex
- W2343369957
- Cited by
- 222
- References
- 62
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 24 · 2023: 18 · 2022: 26 · 2021: 35 · 2020: 28 · 2019: 27 · 2018: 23 · 2017: 17 · 2016: 8
- FWCI
- 27.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01 BX000666)
- Agricultural Research Development Agency
- National Institutes of Health (5p60dk020593-31)
- National Institute of Diabetes and Digestive and Kidney Diseases (UC4DK104143, U01DK089532, P60-DK020593, U01DK089572, UC4DK104211, U01DK072473, T32DK007217, P30DK020593)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- pancreatic islet development, beta cell maturation, age-related gene expression, histone modifications, chromatin regulation, Six2, Six3, insulin secretion, islet cell proliferation, diabetes treatment, fasting hyperglycemia
- MeSH terms
- Adult, Aging, Cell Differentiation, Cell Separation, Child, Child, Preschool, Chromatin, Diabetes Mellitus, Humans, Infant, Middle Aged, Transcription Factors, Homeodomain Proteins, Gene Expression Regulation, Developmental, Histone Code, Chromatin Immunoprecipitation, Insulin-Secreting Cells, Young Adult, Transcriptome
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