ArticleScientific data2017
Spatial and quantitative datasets of the pancreatic β-cell mass distribution in lean and obese mice.
Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Defining the islet: a minimum size threshold and opportunities for standardization.Frontiers in endocrinology · 2026Review
- Insulin receptor isoform B is required for efficient proinsulin processing in pancreatic β cells.iScience · 2024Article
- 3D imaging of human organs with micrometer resolution - applied to the endocrine pancreas.Communications biology · 2021Article
- Mesoscopic Optical Imaging of the Pancreas-Revisiting Pancreatic Anatomy and Pathophysiology.Frontiers in endocrinology · 2021Review
- Spatial and quantitative datasets of the pancreatic β-cell mass distribution in lean and obese mice.Scientific data · 2017Article
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Authors and funding
5 authors.
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Abstract
A detailed understanding of pancreatic β-cell mass distribution is a key element to fully appreciate the pathophysiology of models of diabetes and metabolic stress. Commonly, such assessments have been performed by stereological approaches that rely on the extrapolation of two-dimensional data and provide very limited topological information. We present ex vivo optical tomographic data sets of the full β-cell mass distribution in cohorts of obese ob/ob mice and their lean controls, together with information about individual islet β-cell volumes, their three-dimensional coordinates and shape throughout the volume of the pancreas between 4 and 52 weeks of age. These data sets offer the currently most comprehensive public record of the β-cell mass distribution in the mouse. As such, they may serve as a quantitative and topological reference for the planning of a variety of in vivo or ex vivo experiments including computational modelling and statistical analyses. By shedding light on intra- and inter-lobular variations in β-cell mass distribution, they further provide a powerful tool for the planning of stereological sampling assessments.
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