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TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages

Identifying endogenous tissue stem cells remains a key challenge in developmental and regenerative biology. To distinguish and molecularly characterise stem cell populations in large heterogeneous tissues, the combination of cytochemical cell markers with ultrastructural morphology is highly benefic...

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Autores principales: Oorschot, Viola, Lindsey, Benjamin W., Kaslin, Jan, Ramm, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806999/
https://www.ncbi.nlm.nih.gov/pubmed/33441723
http://dx.doi.org/10.1038/s41598-020-79637-9
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author Oorschot, Viola
Lindsey, Benjamin W.
Kaslin, Jan
Ramm, Georg
author_facet Oorschot, Viola
Lindsey, Benjamin W.
Kaslin, Jan
Ramm, Georg
author_sort Oorschot, Viola
collection PubMed
description Identifying endogenous tissue stem cells remains a key challenge in developmental and regenerative biology. To distinguish and molecularly characterise stem cell populations in large heterogeneous tissues, the combination of cytochemical cell markers with ultrastructural morphology is highly beneficial. Here, we realise this through workflows of multi-resolution immuno-correlative light and electron microscopy (iCLEM) methodologies. Taking advantage of the antigenicity preservation of the Tokuyasu technique, we have established robust protocols and workflows and provide a side-by-side comparison of iCLEM used in combination with scanning EM (SEM), scanning TEM (STEM), or transmission EM (TEM). Evaluation of the applications and advantages of each method highlights their practicality for the identification, quantification, and characterization of heterogeneous cell populations in small organisms, organs, or tissues in healthy and diseased states. The iCLEM techniques are broadly applicable and can use either genetically encoded or cytochemical markers on plant, animal and human tissues. We demonstrate how these protocols are particularly suited for investigating neural stem and progenitor cell populations of the vertebrate nervous system.
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spelling pubmed-78069992021-01-14 TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages Oorschot, Viola Lindsey, Benjamin W. Kaslin, Jan Ramm, Georg Sci Rep Article Identifying endogenous tissue stem cells remains a key challenge in developmental and regenerative biology. To distinguish and molecularly characterise stem cell populations in large heterogeneous tissues, the combination of cytochemical cell markers with ultrastructural morphology is highly beneficial. Here, we realise this through workflows of multi-resolution immuno-correlative light and electron microscopy (iCLEM) methodologies. Taking advantage of the antigenicity preservation of the Tokuyasu technique, we have established robust protocols and workflows and provide a side-by-side comparison of iCLEM used in combination with scanning EM (SEM), scanning TEM (STEM), or transmission EM (TEM). Evaluation of the applications and advantages of each method highlights their practicality for the identification, quantification, and characterization of heterogeneous cell populations in small organisms, organs, or tissues in healthy and diseased states. The iCLEM techniques are broadly applicable and can use either genetically encoded or cytochemical markers on plant, animal and human tissues. We demonstrate how these protocols are particularly suited for investigating neural stem and progenitor cell populations of the vertebrate nervous system. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806999/ /pubmed/33441723 http://dx.doi.org/10.1038/s41598-020-79637-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Oorschot, Viola
Lindsey, Benjamin W.
Kaslin, Jan
Ramm, Georg
TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title_full TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title_fullStr TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title_full_unstemmed TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title_short TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
title_sort tem, sem, and stem-based immuno-clem workflows offer complementary advantages
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806999/
https://www.ncbi.nlm.nih.gov/pubmed/33441723
http://dx.doi.org/10.1038/s41598-020-79637-9
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