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Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes
Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound’s toxic effect on pancreatic β-cells. However, a comprehensive view of pancreatic β-cell mass distribution subject to STZ administration is...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464185/ https://www.ncbi.nlm.nih.gov/pubmed/36088402 http://dx.doi.org/10.1038/s41597-022-01546-5 |
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author | Hahn, Max Nord, Christoffer van Krieken, Pim P. Berggren, Per-Olof Ilegems, Erwin Cheddad, Abbas Ahlgren, Ulf |
author_facet | Hahn, Max Nord, Christoffer van Krieken, Pim P. Berggren, Per-Olof Ilegems, Erwin Cheddad, Abbas Ahlgren, Ulf |
author_sort | Hahn, Max |
collection | PubMed |
description | Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound’s toxic effect on pancreatic β-cells. However, a comprehensive view of pancreatic β-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image datasets of the full β-cell mass distribution in mice subject to single high and multiple low doses of STZ administration, and in glycaemia recovered mice. The data further include information about structural features, such as individual islet β-cell volumes, spatial coordinates, and shape as well as signal intensities for both insulin and GLUT2. Together, they provide the most comprehensive anatomical record of the effects of STZ administration on the islet of Langerhans in mice. As such, this data descriptor may serve as reference material to facilitate the planning, use and (re)interpretation of this widely used disease model. |
format | Online Article Text |
id | pubmed-9464185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94641852022-09-12 Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes Hahn, Max Nord, Christoffer van Krieken, Pim P. Berggren, Per-Olof Ilegems, Erwin Cheddad, Abbas Ahlgren, Ulf Sci Data Data Descriptor Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound’s toxic effect on pancreatic β-cells. However, a comprehensive view of pancreatic β-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image datasets of the full β-cell mass distribution in mice subject to single high and multiple low doses of STZ administration, and in glycaemia recovered mice. The data further include information about structural features, such as individual islet β-cell volumes, spatial coordinates, and shape as well as signal intensities for both insulin and GLUT2. Together, they provide the most comprehensive anatomical record of the effects of STZ administration on the islet of Langerhans in mice. As such, this data descriptor may serve as reference material to facilitate the planning, use and (re)interpretation of this widely used disease model. Nature Publishing Group UK 2022-09-10 /pmc/articles/PMC9464185/ /pubmed/36088402 http://dx.doi.org/10.1038/s41597-022-01546-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Hahn, Max Nord, Christoffer van Krieken, Pim P. Berggren, Per-Olof Ilegems, Erwin Cheddad, Abbas Ahlgren, Ulf Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title | Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title_full | Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title_fullStr | Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title_full_unstemmed | Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title_short | Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes |
title_sort | quantitative 3d opt and lsfm datasets of pancreata from mice with streptozotocin-induced diabetes |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464185/ https://www.ncbi.nlm.nih.gov/pubmed/36088402 http://dx.doi.org/10.1038/s41597-022-01546-5 |
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