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Spatial and quantitative datasets of the pancreatic beta-cell mass distribution in lean and obese mice
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
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2017 (English)In: Scientific Data, ISSN 1012-0602, E-ISSN 2052-4463, Vol. 4, 170031Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 4, 170031
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Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:umu:diva-133764DOI: 10.1038/sdata.2017.31ISI: 000396109500001OAI: oai:DiVA.org:umu-133764DiVA: diva2:1092488
Available from: 2017-05-03 Created: 2017-05-03 Last updated: 2017-05-03Bibliographically approved

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Parween, SabaEriksson, MariaNord, ChristofferKostromina, ElenaAhlgren, Ulf
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