001     141200
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024 7 _ |a 10.1007/s00125-011-2438-4
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024 7 _ |a pmid:22252472
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024 7 _ |a pmc:PMC3296007
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024 7 _ |a 0012-186X
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024 7 _ |a 1432-0428
|2 ISSN
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037 _ _ |a DZNE-2020-07522
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Fava, E.
|0 P:(DE-2719)2159508
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|u dzne
245 _ _ |a Novel standards in the measurement of rat insulin granules combining electron microscopy, high-content image analysis and in silico modelling.
260 _ _ |a Heidelberg
|c 2012
|b Springer
264 _ 1 |3 online
|2 Crossref
|b Springer Science and Business Media LLC
|c 2012-01-18
264 _ 1 |3 print
|2 Crossref
|b Springer Science and Business Media LLC
|c 2012-04-01
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a Knowledge of number, size and content of insulin secretory granules is pivotal for understanding the physiology of pancreatic beta cells. Here we re-evaluated key structural features of rat beta cells, including insulin granule size, number and distribution as well as cell size.Electron micrographs of rat beta cells fixed either chemically or by high-pressure freezing were compared using a high-content analysis approach. These data were used to develop three-dimensional in silico beta cell models, the slicing of which would reproduce the experimental datasets.As previously reported, chemically fixed insulin secretory granules appeared as hollow spheres with a mean diameter of ∼350 nm. Remarkably, most granules fixed by high-pressure freezing lacked the characteristic halo between the dense core and the limiting membrane and were smaller than their chemically fixed counterparts. Based on our analyses, we conclude that the mean diameter of rat insulin secretory granules is 243 nm, corresponding to a surface area of 0.19 μm(2). Rat beta cells have a mean volume of 763 μm(3) and contain 5,000-6,000 granules.A major reason for the lower mean granule number/rat beta cell relative to previous accounts is a reduced estimation of the mean beta cell volume. These findings imply that each granule contains about twofold more insulin, while its exocytosis increases membrane capacitance about twofold less than assumed previously. Our integrated approach defines new standards for quantitative image analysis of beta cells and could be applied to other cellular systems.
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650 _ 7 |a Insulin
|2 NLM Chemicals
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Cells, Cultured
|2 MeSH
650 _ 2 |a Cytoplasmic Granules: metabolism
|2 MeSH
650 _ 2 |a Cytoplasmic Granules: ultrastructure
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Insulin: metabolism
|2 MeSH
650 _ 2 |a Insulin-Secreting Cells: metabolism
|2 MeSH
650 _ 2 |a Insulin-Secreting Cells: ultrastructure
|2 MeSH
650 _ 2 |a Microscopy, Electron, Transmission
|2 MeSH
650 _ 2 |a Rats
|2 MeSH
650 _ 2 |a Rats, Wistar
|2 MeSH
650 _ 2 |a Secretory Vesicles: metabolism
|2 MeSH
650 _ 2 |a Secretory Vesicles: ultrastructure
|2 MeSH
700 1 _ |a Dehghany, J.
|b 1
700 1 _ |a Ouwendijk, J.
|b 2
700 1 _ |a Müller, A.
|0 P:(DE-HGF)0
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700 1 _ |a Niederlein, A.
|b 4
700 1 _ |a Verkade, P.
|b 5
700 1 _ |a Meyer-Hermann, M.
|0 P:(DE-HGF)0
|b 6
|e Corresponding author
700 1 _ |a Solimena, M.
|b 7
773 1 8 |a 10.1007/s00125-011-2438-4
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|t Diabetologia
|v 55
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773 _ _ |a 10.1007/s00125-011-2438-4
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910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
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999 C 5 |9 -- missing cx lookup --
|a 10.1007/BF01230690
|2 Crossref
|o 10.1007/BF01230690
999 C 5 |9 -- missing cx lookup --
|a 10.1002/aja.1001610106
|2 Crossref
|o 10.1002/aja.1001610106
999 C 5 |9 -- missing cx lookup --
|a 10.1007/s00424-002-0781-5
|2 Crossref
|o 10.1007/s00424-002-0781-5
999 C 5 |9 -- missing cx lookup --
|a 10.2337/diabetes.53.12.3179
|2 Crossref
|o 10.2337/diabetes.53.12.3179
999 C 5 |y 1988
|2 Crossref
|t Artifacts in biological electron microscopy
|o RFI Crang Artifacts in biological electron microscopy 1988
999 C 5 |9 -- missing cx lookup --
|a 10.1111/j.1365-2818.1992.tb03260.x
|2 Crossref
|o 10.1111/j.1365-2818.1992.tb03260.x
999 C 5 |9 -- missing cx lookup --
|a 10.1083/jcb.91.3.695
|2 Crossref
|o 10.1083/jcb.91.3.695
999 C 5 |9 -- missing cx lookup --
|a 10.1002/jemt.1060130305
|2 Crossref
|o 10.1002/jemt.1060130305
999 C 5 |9 -- missing cx lookup --
|a 10.1385/1-59259-678-9:77
|2 Crossref
|o 10.1385/1-59259-678-9:77
999 C 5 |9 -- missing cx lookup --
|a 10.1007/978-1-59745-294-6_8
|2 Crossref
|o 10.1007/978-1-59745-294-6_8
999 C 5 |9 -- missing cx lookup --
|a 10.1097/00007890-198510000-00018
|2 Crossref
|o 10.1097/00007890-198510000-00018
999 C 5 |9 -- missing cx lookup --
|a 10.2337/diabetes.39.4.406
|2 Crossref
|o 10.2337/diabetes.39.4.406
999 C 5 |9 -- missing cx lookup --
|a 10.1038/ncb1099
|2 Crossref
|o 10.1038/ncb1099
999 C 5 |9 -- missing cx lookup --
|a 10.1111/j.1365-2818.2008.01989.x
|2 Crossref
|o 10.1111/j.1365-2818.2008.01989.x
999 C 5 |9 -- missing cx lookup --
|a 10.1002/cyto.a.20289
|2 Crossref
|o 10.1002/cyto.a.20289
999 C 5 |y 1979
|2 Crossref
|t Stereological methods
|o ER Weibel Stereological methods 1979
999 C 5 |9 -- missing cx lookup --
|a 10.1126/science.390711
|2 Crossref
|o 10.1126/science.390711
999 C 5 |9 -- missing cx lookup --
|a 10.1002/aja.1001120104
|2 Crossref
|o 10.1002/aja.1001120104
999 C 5 |9 -- missing cx lookup --
|a 10.1046/j.1365-2818.2003.01238.x
|2 Crossref
|o 10.1046/j.1365-2818.2003.01238.x
999 C 5 |9 -- missing cx lookup --
|a 10.1016/0006-291X(72)90769-3
|2 Crossref
|o 10.1016/0006-291X(72)90769-3
999 C 5 |9 -- missing cx lookup --
|a 10.1007/BF00342585
|2 Crossref
|o 10.1007/BF00342585
999 C 5 |9 -- missing cx lookup --
|a 10.1073/pnas.162352799
|2 Crossref
|o 10.1073/pnas.162352799
999 C 5 |9 -- missing cx lookup --
|a 10.1042/bj1260433
|2 Crossref
|o 10.1042/bj1260433
999 C 5 |9 -- missing cx lookup --
|a 10.1007/BF00281987
|2 Crossref
|o 10.1007/BF00281987
999 C 5 |9 -- missing cx lookup --
|a 10.1007/s00424-008-0588-0
|2 Crossref
|o 10.1007/s00424-008-0588-0
999 C 5 |9 -- missing cx lookup --
|a 10.1016/j.jsb.2007.09.015
|2 Crossref
|o 10.1016/j.jsb.2007.09.015
999 C 5 |9 -- missing cx lookup --
|a 10.1113/jphysiol.1986.sp016096
|2 Crossref
|o 10.1113/jphysiol.1986.sp016096
999 C 5 |9 -- missing cx lookup --
|a 10.1111/j.1469-7793.1999.00717.x
|2 Crossref
|o 10.1111/j.1469-7793.1999.00717.x
999 C 5 |9 -- missing cx lookup --
|a 10.2337/diabetes.49.9.1500
|2 Crossref
|o 10.2337/diabetes.49.9.1500
999 C 5 |9 -- missing cx lookup --
|a 10.1210/en.2005-0803
|2 Crossref
|o 10.1210/en.2005-0803
999 C 5 |y 1974
|2 Crossref
|o SL Howell 1974
999 C 5 |9 -- missing cx lookup --
|a 10.1016/0304-4165(82)90052-6
|2 Crossref
|o 10.1016/0304-4165(82)90052-6
999 C 5 |9 -- missing cx lookup --
|a 10.1073/pnas.92.21.9608
|2 Crossref
|o 10.1073/pnas.92.21.9608


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Marc 21