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Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis
OBJECTIVES: The streptozotocin (STZ) model is widely used in diabetes research. However, the cellular and molecular states of pancreatic endocrine cells in this model remain unclear. This study explored the molecular characteristics of islet cells treated with STZ and re-evaluated β-cell dysfunction...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184252/ https://www.ncbi.nlm.nih.gov/pubmed/32247924 http://dx.doi.org/10.1016/j.molmet.2020.100982 |
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author | Feng, Ye Qiu, Wei-Lin Yu, Xin-Xin Zhang, Yu He, Mao-Yang Li, Lin-Chen Yang, Li Zhang, Weiyi Franti, Michael Ye, Junqing Hoeck, Joerg D. Xu, Cheng-Ran |
author_facet | Feng, Ye Qiu, Wei-Lin Yu, Xin-Xin Zhang, Yu He, Mao-Yang Li, Lin-Chen Yang, Li Zhang, Weiyi Franti, Michael Ye, Junqing Hoeck, Joerg D. Xu, Cheng-Ran |
author_sort | Feng, Ye |
collection | PubMed |
description | OBJECTIVES: The streptozotocin (STZ) model is widely used in diabetes research. However, the cellular and molecular states of pancreatic endocrine cells in this model remain unclear. This study explored the molecular characteristics of islet cells treated with STZ and re-evaluated β-cell dysfunction and regeneration in the STZ model. METHODS: We performed single-cell RNA sequencing of pancreatic endocrine cells from STZ-treated mice. High-quality sequencing data from 2,999 cells were used to identify clusters via Louvain clustering analysis. Principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection (UMAP), force-directed layout (FDL), and differential expression analysis were used to define the heterogeneity and transcriptomic changes in islet cells. In addition, qPCR and immunofluorescence staining were used to confirm findings from the sequencing data. RESULTS: Untreated β-cells were divided into two populations at the transcriptomic level, a large high-Glut2 expression (Glut2(high)) population and a small low-Glut2 expression (Glut2(low)) population. At the transcriptomic level, Glut2(low) β-cells in adult mice did not represent a developmentally immature state, although a fraction of genes associated with β-cell maturation and function were downregulated in Glut2(low) cells. After a single high-dose STZ treatment, most Glut2(high) cells were killed, but Glut2(low) cells survived and over time changed to a distinct cell state. We did not observe conversion of Glut2(low) to Glut2(high) β-cells up to 9 months after STZ treatment. In addition, we did not detect transcriptomic changes in the non-β endocrine cells or a direct trans-differentiation pathway from the α-cell lineage to the β-cell lineage in the STZ model. CONCLUSIONS: We identified the heterogeneity of β-cells in both physiological and pathological conditions. However, we did not observe conversion of Glut2(low) to Glut2(high) β-cells, transcriptomic changes in the non-β endocrine cells, or direct trans-differentiation from the α-cell lineage to the β-cell lineage in the STZ model. Our results clearly define the states of islet cells treated with STZ and allow us to re-evaluate the STZ model widely used in diabetes studies. |
format | Online Article Text |
id | pubmed-7184252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71842522020-05-04 Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis Feng, Ye Qiu, Wei-Lin Yu, Xin-Xin Zhang, Yu He, Mao-Yang Li, Lin-Chen Yang, Li Zhang, Weiyi Franti, Michael Ye, Junqing Hoeck, Joerg D. Xu, Cheng-Ran Mol Metab Original Article OBJECTIVES: The streptozotocin (STZ) model is widely used in diabetes research. However, the cellular and molecular states of pancreatic endocrine cells in this model remain unclear. This study explored the molecular characteristics of islet cells treated with STZ and re-evaluated β-cell dysfunction and regeneration in the STZ model. METHODS: We performed single-cell RNA sequencing of pancreatic endocrine cells from STZ-treated mice. High-quality sequencing data from 2,999 cells were used to identify clusters via Louvain clustering analysis. Principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection (UMAP), force-directed layout (FDL), and differential expression analysis were used to define the heterogeneity and transcriptomic changes in islet cells. In addition, qPCR and immunofluorescence staining were used to confirm findings from the sequencing data. RESULTS: Untreated β-cells were divided into two populations at the transcriptomic level, a large high-Glut2 expression (Glut2(high)) population and a small low-Glut2 expression (Glut2(low)) population. At the transcriptomic level, Glut2(low) β-cells in adult mice did not represent a developmentally immature state, although a fraction of genes associated with β-cell maturation and function were downregulated in Glut2(low) cells. After a single high-dose STZ treatment, most Glut2(high) cells were killed, but Glut2(low) cells survived and over time changed to a distinct cell state. We did not observe conversion of Glut2(low) to Glut2(high) β-cells up to 9 months after STZ treatment. In addition, we did not detect transcriptomic changes in the non-β endocrine cells or a direct trans-differentiation pathway from the α-cell lineage to the β-cell lineage in the STZ model. CONCLUSIONS: We identified the heterogeneity of β-cells in both physiological and pathological conditions. However, we did not observe conversion of Glut2(low) to Glut2(high) β-cells, transcriptomic changes in the non-β endocrine cells, or direct trans-differentiation from the α-cell lineage to the β-cell lineage in the STZ model. Our results clearly define the states of islet cells treated with STZ and allow us to re-evaluate the STZ model widely used in diabetes studies. Elsevier 2020-04-02 /pmc/articles/PMC7184252/ /pubmed/32247924 http://dx.doi.org/10.1016/j.molmet.2020.100982 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Feng, Ye Qiu, Wei-Lin Yu, Xin-Xin Zhang, Yu He, Mao-Yang Li, Lin-Chen Yang, Li Zhang, Weiyi Franti, Michael Ye, Junqing Hoeck, Joerg D. Xu, Cheng-Ran Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title | Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title_full | Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title_fullStr | Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title_full_unstemmed | Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title_short | Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
title_sort | characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184252/ https://www.ncbi.nlm.nih.gov/pubmed/32247924 http://dx.doi.org/10.1016/j.molmet.2020.100982 |
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