Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells

In this study we aimed to establish an unbiased automatic quantification pipeline to assess islet specific features such as β-cell area and density per islet based on immunofluorescence stainings. To determine these parameters, the in vivo protein expression levels of TMEM27 and BACE2 in pancreatic...

Full description

Saved in:
Bibliographic Details
Main Authors: Rechsteiner, Markus P., Floros, Xenofon, Boehm, Bernhard O., Marselli, Lorella, Marchetti, Piero, Stoffel, Markus, Moch, Holger, Spinas, Giatgen A.
Other Authors: Pietropaolo, Massimo
Format: Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/105082
http://hdl.handle.net/10220/20420
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-105082
record_format dspace
spelling sg-ntu-dr.10356-1050822022-02-16T16:26:28Z Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells Rechsteiner, Markus P. Floros, Xenofon Boehm, Bernhard O. Marselli, Lorella Marchetti, Piero Stoffel, Markus Moch, Holger Spinas, Giatgen A. Pietropaolo, Massimo Lee Kong Chian School of Medicine (LKCMedicine) DRNTU::Science::Medicine In this study we aimed to establish an unbiased automatic quantification pipeline to assess islet specific features such as β-cell area and density per islet based on immunofluorescence stainings. To determine these parameters, the in vivo protein expression levels of TMEM27 and BACE2 in pancreatic islets of 32 patients with type 2 diabetes (T2D) and in 28 non-diabetic individuals (ND) were used as input for the automated pipeline. The output of the automated pipeline was first compared to a previously developed manual area scoring system which takes into account the intensity of the staining as well as the percentage of cells which are stained within an islet. The median TMEM27 and BACE2 area scores of all islets investigated per patient correlated significantly with the manual scoring and with the median area score of insulin. Furthermore, the median area scores of TMEM27, BACE2 and insulin calculated from all T2D were significantly lower compared to the one of all ND. TMEM27, BACE2, and insulin area scores correlated as well in each individual tissue specimen. Moreover, islet size determined by costaining of glucagon and either TMEM27 or BACE2 and β-cell density based either on TMEM27 or BACE2 positive cells correlated significantly. Finally, the TMEM27 area score showed a positive correlation with BMI in ND and an inverse pattern in T2D. In summary, automated quantification outperforms manual scoring by reducing time and individual bias. The simultaneous changes of TMEM27, BACE2, and insulin in the majority of the β–cells suggest that these proteins reflect the total number of functional insulin producing β–cells. Additionally, β–cell subpopulations may be identified which are positive for TMEM27, BACE2 or insulin only. Thus, the cumulative assessment of all three markers may provide further information about the real β–cell number per islet. Published version 2014-08-27T09:29:02Z 2019-12-06T21:45:53Z 2014-08-27T09:29:02Z 2019-12-06T21:45:53Z 2014 2014 Journal Article Rechsteiner, M. P., Floros, X., Boehm, B. O., Marselli, L., Marchetti, P., Stoffel, M., et al. (2014). Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-Cells. PLoS ONE, 9(6), e98932-. 1932-6203 https://hdl.handle.net/10356/105082 http://hdl.handle.net/10220/20420 10.1371/journal.pone.0098932 24905913 en PLoS ONE © 2014 Rechsteiner et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Medicine
spellingShingle DRNTU::Science::Medicine
Rechsteiner, Markus P.
Floros, Xenofon
Boehm, Bernhard O.
Marselli, Lorella
Marchetti, Piero
Stoffel, Markus
Moch, Holger
Spinas, Giatgen A.
Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
description In this study we aimed to establish an unbiased automatic quantification pipeline to assess islet specific features such as β-cell area and density per islet based on immunofluorescence stainings. To determine these parameters, the in vivo protein expression levels of TMEM27 and BACE2 in pancreatic islets of 32 patients with type 2 diabetes (T2D) and in 28 non-diabetic individuals (ND) were used as input for the automated pipeline. The output of the automated pipeline was first compared to a previously developed manual area scoring system which takes into account the intensity of the staining as well as the percentage of cells which are stained within an islet. The median TMEM27 and BACE2 area scores of all islets investigated per patient correlated significantly with the manual scoring and with the median area score of insulin. Furthermore, the median area scores of TMEM27, BACE2 and insulin calculated from all T2D were significantly lower compared to the one of all ND. TMEM27, BACE2, and insulin area scores correlated as well in each individual tissue specimen. Moreover, islet size determined by costaining of glucagon and either TMEM27 or BACE2 and β-cell density based either on TMEM27 or BACE2 positive cells correlated significantly. Finally, the TMEM27 area score showed a positive correlation with BMI in ND and an inverse pattern in T2D. In summary, automated quantification outperforms manual scoring by reducing time and individual bias. The simultaneous changes of TMEM27, BACE2, and insulin in the majority of the β–cells suggest that these proteins reflect the total number of functional insulin producing β–cells. Additionally, β–cell subpopulations may be identified which are positive for TMEM27, BACE2 or insulin only. Thus, the cumulative assessment of all three markers may provide further information about the real β–cell number per islet.
author2 Pietropaolo, Massimo
author_facet Pietropaolo, Massimo
Rechsteiner, Markus P.
Floros, Xenofon
Boehm, Bernhard O.
Marselli, Lorella
Marchetti, Piero
Stoffel, Markus
Moch, Holger
Spinas, Giatgen A.
format Article
author Rechsteiner, Markus P.
Floros, Xenofon
Boehm, Bernhard O.
Marselli, Lorella
Marchetti, Piero
Stoffel, Markus
Moch, Holger
Spinas, Giatgen A.
author_sort Rechsteiner, Markus P.
title Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
title_short Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
title_full Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
title_fullStr Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
title_full_unstemmed Automated assessment of β-cell area and density per islet and patient using TMEM27 and BACE2 immunofluorescence staining in human pancreatic β-cells
title_sort automated assessment of β-cell area and density per islet and patient using tmem27 and bace2 immunofluorescence staining in human pancreatic β-cells
publishDate 2014
url https://hdl.handle.net/10356/105082
http://hdl.handle.net/10220/20420
_version_ 1725985498999029760