Targeted pharmacological therapy restores β-cell function for diabetes remission
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A recent study identified gene signature profile changes in murine embryonic β-cells and adult β-cells following STZ treatment to identify β-cell dedifferentiation and dysfunction markers using single-cell RNA-seq.
“A recent study identified gene signature profile changes in murine embryonic β-cells and adult β-cells following STZ treatment to identify β-cell dedifferentiation and dysfunction markers using single-cell RNA-seq [45].”
From β-Cell pre-mir-21 induces dysfunction and loss of cellular identity by targeting transforming growth factor beta 2 (Tgfb2) and Smad family member 2 (Smad2) mRNAs (2021) · cites this paper as [45]
The Articles (pp. 6, 8) report scRNA-seq comparisons of β-cells from STZ-treated and healthy mice and identify markers of dysfunction and dedifferentiation. The paper also compares those cells with embryonic β-cells from a reference dataset (Articles, pp. 8–9), but it does not describe the embryonic cells as having received STZ treatment. (LLM, conf=0.88)
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SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881 · see citing works
Self-citationMassively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes
Marso, S. P., Bain, S. C., Consoli, A., Eliaschewitz, F. G., Jódar, E., Leiter, L. A., Lingvay, I., Rosenstock, J., Seufert, J., Warren, M. L., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1607141 · Cited by 6,900 · see citing works
Critical nodes in signalling pathways: insights into insulin action
Taniguchi, C. M., Emanuelli, B., & Kahn, C. R. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1837 · Cited by 2,760 · see citing works
Scrublet: computational identification of cell doublets in single-cell transcriptomic data
Wolock, S. L., Lopez, R., & Klein, A. M. (2018) · doi:10.1101/357368 · Cited by 2,758 · see citing works
An anti-CD3 antibody, teplizumab, in relatives at risk for type 1 diabetes
Herold, K. C., Bundy, B. N., Long, S. A., Bluestone, J. A., DiMeglio, L. A., Dufort, M. J., Gitelman, S. E., Gottlieb, P. A., Krischer, J. P., Linsley, P. S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1902226 · Cited by 1,189 · see citing works
Conversion of adult pancreatic α-cells to β-cells after extreme β-cell loss
Thorel, F., Népote, V., Avril, I., Kohno, K., Desgraz, R., Chera, S., & Herrera, P. L. (2010) · Nature · doi:10.1038/nature08894 · Cited by 1,136 · see citing works
Endoplasmic reticulum stress and pancreatic β-cell death
Fonseca, S. G., Gromada, J., & Urano, F. (2011) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2011.02.008 · Cited by 384 · see citing works
Pleiotropic Effects of GLP-1 and Analogs on Cell Signaling, Metabolism, and Function
Rowlands, J., Heng, J., Newsholme, P., & Carlessi, R. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00672 · Cited by 302 · see citing works
Islet β cell mass in diabetes and how it relates to function, birth, and death
Weir, G. C., & Bonner‐Weir, S. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12031 · Cited by 296 · see citing works
Reversible changes in pancreatic islet structure and function produced by elevated blood glucose
Brereton, M. F., Iberl, M., Shimomura, K., Zhang, Q., Adriaenssens, A. E., Proks, P., Spiliotis, I. I., Dace, W., Mattis, K. K., Ramracheya, R., et al. (2014) · Nature Communications · doi:10.1038/ncomms5639 · Cited by 259 · see citing works
A novel mechanism regulating insulin secretion involving Herpud1 in mice
Wong, N., Morahan, G., Stathopoulos, M., Proietto, J., & Andrikopoulos, S. (2013) · Diabetologia · doi:10.1007/s00125-013-2908-y · Cited by 24 · see citing works
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Research works printed but not linked: 1
- [35]35. Camunas-Soler, J.et al. Pancreas patch-seq links physiologic dysfunction in diabetes to single-cell transcriptomic phenotypes. Preprint at bioRxiv https:// doi.org/10.1101/555110 (2019). · DOI
Cited by
Sorted by citations
Predicting cellular responses to complex perturbations in high‐throughput screens
Lotfollahi, M., Klimovskaia Susmelj, A., De Donno, C., Hetzel, L., Ji, Y., Ibarra, I. L., Srivatsan, S. R., Naghipourfar, M., Daza, R. M., Martin, B., et al. (2023) · Molecular Systems Biology · doi:10.15252/msb.202211517 · Cited by 307 · see citing works
Self-citationGlucagon-like peptide-1 receptor co-agonists for treating metabolic disease.
Baggio, L. L., & Drucker, D. J. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2020.101090 · Cited by 299 · see citing works
Augsornworawat, P., Maxwell, K. G., Velazco-Cruz, L., & Millman, J. R. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108067 · Cited by 200 · see citing works
Biologically informed deep learning to query gene programs in single-cell atlases
Lotfollahi, M., Rybakov, S., Hrovatin, K., Hediyeh-zadeh, S., Talavera-López, C., Misharin, A. V., & Theis, F. J. (2023) · Nature Cell Biology · doi:10.1038/s41556-022-01072-x · Cited by 100 · see citing works
Self-citationTschöp, M., Nogueiras, R., & Ahrén, B. (2023) · Diabetologia · doi:10.1007/s00125-023-05929-0 · Cited by 92 · see citing works
Self-citationMultimodal single cell data integration challenge: results and lessons learned
Lance, C., Luecken, M. D., Burkhardt, D. B., Cannoodt, R., Rautenstrauch, P., Laddach, A., Ubingazhibov, A., Cao, Z.-J., Deng, K., Khan, S., et al. (2022) · doi:10.1101/2022.04.11.487796 · Cited by 81 · see citing works
Self-citationThe molecular pharmacology of glucagon agonists in diabetes and obesity
Novikoff, A., & Müller, T. D. (2023) · Peptides · doi:10.1016/j.peptides.2023.171003 · Cited by 82 · see citing works
Self-citationMidha, A., Pan, H., Abarca, C., Andle, J., Carapeto, P., Bonner-Weir, S., & Aguayo-Mazzucato, C. (2021) · Diabetes · doi:10.2337/db20-0553 · Cited by 58 · see citing works
MASLD: Prevalence, Mechanisms, and Sex-Based Therapies in Postmenopausal Women
Milani, I., Chinucci, M., Leonetti, F., & Capoccia, D. (2025) · Biomedicines · doi:10.3390/biomedicines13040855 · Cited by 38 · see citing works
“Maximizing estrogen signaling to β -cells via GLP-1 has been shown to reduce daily insulin needs by 60%, increase β -cell survival, and protect against cytokine-induced dysfunction in mouse models of T2D and in human micro-islets [358].”
Ibrahim, S., Johnson, M., Stephens, C. H., Xu, J., Moore, R., Mariani, A., Contreras, C., Syed, F., Mirmira, R. G., Anderson, R. M., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101289 · Cited by 18 · see citing works
Interpreting Single-Cell and Spatial Omics Data Using Deep Neural Network Training Dynamics
Karin, J., Mintz, R., Raveh, B., & Nitzan, M. (2024) · Nature Computational Science · doi:10.1038/s43588-024-00721-5 · Cited by 16 · see citing works
- Authors
- Sachs, S., Bastidas-Ponce, A., Tritschler, S., Bakhti, M., Böttcher, A., Sánchez-Garrido, M. A., Tarquis-Medina, M., Kleinert, M., Fischer, K., Jall, S., Harger, A., Bader, E., Roscioni, S., Ussar, S., Feuchtinger, A., Yesildag, B., Neelakandhan, A., Jensen, C. B., Cornu, M., Yang, B., Finan, B., DiMarchi, R. D., Tschöp, M. H., Theis, F. J., Hofmann, S. M., Müller, T. D., & Lickert, H.
- Affiliations
- Helmholtz Munich (DE)
- University of Copenhagen (DK)
- Novo Nordisk (Denmark) (DK)
- Indiana University Bloomington (US)
- Corresponding author
- Theis, Fabian J.
- Hofmann, Susanna M.
- Müller, Timo D.
- Lickert, Heiko
- ORCID
- Sachs, Stephan
- Bastidas-Ponce, Aimée
- Tritschler, Sophie
- Bakhti, Mostafa
- Böttcher, Anika
- Tarquis-Medina, Marta
- Kleinert, Maximilian
- Fischer, Katrin
- Jall, Sigrid
- Bader, Erik
- Ussar, Siegfried
- Feuchtinger, Annette
- Yang, Bin
- Finan, Brian
- DiMarchi, Richard D.
- Tschöp, Matthias H.
- Theis, Fabian J.
- Hofmann, Susanna M.
- Müller, Timo D.
- Lickert, Heiko
- Venue
- Nature Metabolism
- Published
- 2020-02-20
- Volume
- 2
- Issue
- 2
- Pages
- 192-209
- ISSN
- 2522-5812 (ISSN-L)
- OpenAlex
- W3006783444
- Cited by
- 147
- References
- 13
- Citations by year
- 2026: 13 · 2025: 23 · 2024: 25 · 2023: 26 · 2022: 24 · 2021: 27 · 2020: 9
- FWCI
- 19.65
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-04-14)
- Open access
- Licence
- Locations
- Nature Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Site cant be reached (submittedVersion, cc-by)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- beta-cell dedifferentiation, diabetes remission, beta cell regeneration, insulin therapy, estrogen, ER-associated degradation, streptozotocin-induced diabetes, type 1 diabetes, type 2 diabetes
- MeSH terms
- Animals, Diabetes Mellitus, Experimental, Estrogens, Homeostasis, Humans, Hypoglycemic Agents, Insulin, Remission Induction, Streptozocin, Insulin-Secreting Cells, Mice, Glucagon-Like Peptide 1, Polypharmacology
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