Reconstructing human pancreatic islet architectures using computational optimization
| Autor: | J. Rafael Godínez-Fernández, Gerardo J. Félix-Martínez, Aurelio Nicolás Mata |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
endocrine system geography geography.geographical_feature_category endocrine system diseases Computer science Endocrinology Diabetes and Metabolism 030209 endocrinology & metabolism Computational biology Islet Islets of Langerhans 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Endocrinology Islet cells Humans Pancreas Research Article Cell Size Computational optimization |
| Zdroj: | Islets |
| ISSN: | 1938-2022 1938-2014 |
| Popis: | We outline a general methodology based on computational optimization and experimental data to reconstruct human pancreatic islet architectures. By using the nuclei coordinates of islet cells obtained through DAPI staining, cell types identified by immunostaining, and cell size distributions estimated from capacitance measurements, reconstructed islets composed of non-overlapping spherical cells were obtained through an iterative optimization procedure. In all cases, the reconstructed architectures included >99% of the experimental identified cells, each of them having a radius within the experimentally reported ranges. Given the wide use of mathematical modeling for the study of pancreatic cells, and recently, of cell-cell interactions within the pancreatic islets, the methodology here proposed, also capable of identifying cell-to-cell contacts, is aimed to provide with a framework for modeling and analyzing experimentally-based pancreatic islet architectures. |
| Databáze: | OpenAIRE |
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