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

Abstract 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 highl...

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Autores principales: Viola Oorschot, Benjamin W. Lindsey, Jan Kaslin, Georg Ramm
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8ddcd5a7e12c41499aee1a0cc450ec98
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spelling oai:doaj.org-article:8ddcd5a7e12c41499aee1a0cc450ec982021-12-02T15:23:10ZTEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages10.1038/s41598-020-79637-92045-2322https://doaj.org/article/8ddcd5a7e12c41499aee1a0cc450ec982021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79637-9https://doaj.org/toc/2045-2322Abstract 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.Viola OorschotBenjamin W. LindseyJan KaslinGeorg RammNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Viola Oorschot
Benjamin W. Lindsey
Jan Kaslin
Georg Ramm
TEM, SEM, and STEM-based immuno-CLEM workflows offer complementary advantages
description Abstract 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.
format article
author Viola Oorschot
Benjamin W. Lindsey
Jan Kaslin
Georg Ramm
author_facet Viola Oorschot
Benjamin W. Lindsey
Jan Kaslin
Georg Ramm
author_sort Viola Oorschot
title 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_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_sort tem, sem, and stem-based immuno-clem workflows offer complementary advantages
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8ddcd5a7e12c41499aee1a0cc450ec98
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AT jankaslin temsemandstembasedimmunoclemworkflowsoffercomplementaryadvantages
AT georgramm temsemandstembasedimmunoclemworkflowsoffercomplementaryadvantages
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