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GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology

Cell morphology is crucial for all cell functions. This is particularly true for glial cells as they rely on complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this, we developed the image analysis p...

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Autores principales: Kugler, Elisabeth, Bravo, Isabel, Durmishi, Xhuljana, Marcotti, Stefania, Beqiri, Sara, Carrington, Alicia, Stramer, Brian, Mattar, Pierre, MacDonald, Ryan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110500/
https://www.ncbi.nlm.nih.gov/pubmed/36625162
http://dx.doi.org/10.1242/dev.201008
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author Kugler, Elisabeth
Bravo, Isabel
Durmishi, Xhuljana
Marcotti, Stefania
Beqiri, Sara
Carrington, Alicia
Stramer, Brian
Mattar, Pierre
MacDonald, Ryan B.
author_facet Kugler, Elisabeth
Bravo, Isabel
Durmishi, Xhuljana
Marcotti, Stefania
Beqiri, Sara
Carrington, Alicia
Stramer, Brian
Mattar, Pierre
MacDonald, Ryan B.
author_sort Kugler, Elisabeth
collection PubMed
description Cell morphology is crucial for all cell functions. This is particularly true for glial cells as they rely on complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this, we developed the image analysis pipeline ‘GliaMorph’. GliaMorph is a modular analysis toolkit developed to perform (1) image pre-processing, (2) semi-automatic region-of-interest selection, (3) apicobasal texture analysis, (4) glia segmentation, and (5) cell feature quantification. Müller glia (MG) have a stereotypic shape linked to their maturation and physiological status. Here, we characterized MG on three levels: (1) global image-level, (2) apicobasal texture, and (3) regional apicobasal vertical-to-horizontal alignment. Using GliaMorph, we quantified MG development on a global and single-cell level, showing increased feature elaboration and subcellular morphological rearrangement in the zebrafish retina. As proof of principle, we analysed expression changes in a mouse glaucoma model, identifying subcellular protein localization changes in MG. Together, these data demonstrate that GliaMorph enables an in-depth understanding of MG morphology in the developing and diseased retina.
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spelling pubmed-101105002023-04-19 GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology Kugler, Elisabeth Bravo, Isabel Durmishi, Xhuljana Marcotti, Stefania Beqiri, Sara Carrington, Alicia Stramer, Brian Mattar, Pierre MacDonald, Ryan B. Development Techniques and Resources Cell morphology is crucial for all cell functions. This is particularly true for glial cells as they rely on complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this, we developed the image analysis pipeline ‘GliaMorph’. GliaMorph is a modular analysis toolkit developed to perform (1) image pre-processing, (2) semi-automatic region-of-interest selection, (3) apicobasal texture analysis, (4) glia segmentation, and (5) cell feature quantification. Müller glia (MG) have a stereotypic shape linked to their maturation and physiological status. Here, we characterized MG on three levels: (1) global image-level, (2) apicobasal texture, and (3) regional apicobasal vertical-to-horizontal alignment. Using GliaMorph, we quantified MG development on a global and single-cell level, showing increased feature elaboration and subcellular morphological rearrangement in the zebrafish retina. As proof of principle, we analysed expression changes in a mouse glaucoma model, identifying subcellular protein localization changes in MG. Together, these data demonstrate that GliaMorph enables an in-depth understanding of MG morphology in the developing and diseased retina. The Company of Biologists Ltd 2023-02-02 /pmc/articles/PMC10110500/ /pubmed/36625162 http://dx.doi.org/10.1242/dev.201008 Text en © 2023. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Techniques and Resources
Kugler, Elisabeth
Bravo, Isabel
Durmishi, Xhuljana
Marcotti, Stefania
Beqiri, Sara
Carrington, Alicia
Stramer, Brian
Mattar, Pierre
MacDonald, Ryan B.
GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title_full GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title_fullStr GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title_full_unstemmed GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title_short GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology
title_sort gliamorph: a modular image analysis toolkit to quantify müller glial cell morphology
topic Techniques and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110500/
https://www.ncbi.nlm.nih.gov/pubmed/36625162
http://dx.doi.org/10.1242/dev.201008
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