Cited by 302Pancreatic function and diabetesPluripotent Stem Cells ResearchDiabetes and associated disorders

Differentiated human stem cells resemble fetal, not adult, β cells

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Hrvatin, Sinisa, O’Donnell, Charles W., Deng, Francis, Millman, Jeffrey R., Pagliuca, Felicia Walton, DiIorio, Philip, Rezania, Alireza, Gifford, David K. +1 more·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Human pluripotent stem cells (hPSCs) can be produced from any person and have the potential to differentiate into any cell type in the body. This study focuses on the generation of insulin-expressing cells from hPSCs and compares their gene expression, as assayed by transcriptional gene products, to that of insulin-expressing β cells from human fetal and adult samples. We employ a new method to isolate and profile insulin-expressing cells and conclude that several different hPSC lines generate very similar insulin-expressing cells, cells whose transcripts resemble fetal rather than adult β cells. This study advances the possibility of directing the differentiation of stem cells into functional β cells by comparing and cataloging differences between hPSC-derived insulin-expressing cells and human β cells.

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  • SC-islets generated in vitro remain transcriptionally and functionally immature compared to adult human islets.

    “SC-islets generated in vitro remain transcriptionally and functionally immature compared to adult human islets.”

    From Developments in stem cell-derived islet replacement therapy for treating type 1 diabetes (2023) · cites this paper as [77]

    Figure 3 reports that in vitro hPSC-derived insulin-expressing cells resemble fetal rather than adult β cells in gene expression and appear functionally immature, lacking glucose-stimulated insulin secretion. The study compares sorted insulin-expressing cells with adult β cells isolated from islets; it does not establish the same finding for SC-islets as a whole compared with whole adult islets. (LLM, conf=0.83)

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Authors
Hrvatin, S., O’Donnell, C. W., Deng, F., Millman, J. R., Pagliuca, F. W., DiIorio, P., Rezania, A., Gifford, D. K., & Melton, D. A.
Affiliations
  • Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute and
  • Harvard University (US)
  • University of Massachusetts Chan Medical School (US)
  • Janssen Research & Development (United States) (US)
  • MIT Computer Science and Artificial Intelligence Laboratory (US)
  • Howard Hughes Medical Institute (US)
Venue
Proceedings of the National Academy of Sciences
Published
2014-02-10
Volume
111
Issue
8
Pages
3038-3043
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2055001415
Cited by
302
References
0
Citations by year
2026: 13 · 2025: 12 · 2024: 19 · 2023: 30 · 2022: 25 · 2021: 33 · 2020: 42 · 2019: 15 · 2018: 18 · 2017: 15 · 2016: 47 · 2015: 25 · 2014: 8
FWCI
31.38
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • Howard Hughes Medical Institute
  • National Heart, Lung, and Blood Institute (U01HL100408, 1U01HL10040804)
  • National Institute of Diabetes and Digestive and Kidney Diseases (RL1DK081184, 2U01DK07247307, U01DK072473)
Topics
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
Keywords
human pluripotent stem cells, pancreatic beta cells, fetal pancreas, gene expression profiling, stem cell differentiation, beta cell maturation, islet transplantation, gene expression signatures
MeSH terms
Adult, Cell Differentiation, Fetus, Flow Cytometry, Humans, Pancreas, Gene Expression Profiling, Pluripotent Stem Cells, Microarray Analysis, Insulin-Secreting Cells

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