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Application of Tissue Microarray Technology to Stem Cell Research

There is virtually an unlimited number of possible Tissue Microarray (TMA) applications in basic and clinical research and ultimately in diagnostics. However, to assess the functional importance of novel markers, researchers very often turn to cell line model systems. The appropriate choice of a cel...

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Detalles Bibliográficos
Autores principales: Spada, Alberto La, Rainoldi, Barnaba, Blasio, Andrea De, Biunno, Ida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996362/
https://www.ncbi.nlm.nih.gov/pubmed/27600341
http://dx.doi.org/10.3390/microarrays3030159
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author Spada, Alberto La
Rainoldi, Barnaba
Blasio, Andrea De
Biunno, Ida
author_facet Spada, Alberto La
Rainoldi, Barnaba
Blasio, Andrea De
Biunno, Ida
author_sort Spada, Alberto La
collection PubMed
description There is virtually an unlimited number of possible Tissue Microarray (TMA) applications in basic and clinical research and ultimately in diagnostics. However, to assess the functional importance of novel markers, researchers very often turn to cell line model systems. The appropriate choice of a cell line is often a difficult task, but the use of cell microarray (CMA) technology enables a quick screening of several markers in cells of different origins, mimicking a genomic-scale analysis. In order to improve the morphological evaluations of the CMA slides we harvested the cells by conventional trypsinization, mechanical scraping and cells grown on coverslips. We show that mechanical scraping is a good evaluation method since keeps the real morphology very similar to those grown on coverslips. Immunofluorescence images are of higher quality, facilitating the reading of the biomarker cellular and subcellular localization. Here, we describe CMA technology in stem cell research.
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spelling pubmed-49963622016-09-06 Application of Tissue Microarray Technology to Stem Cell Research Spada, Alberto La Rainoldi, Barnaba Blasio, Andrea De Biunno, Ida Microarrays (Basel) Article There is virtually an unlimited number of possible Tissue Microarray (TMA) applications in basic and clinical research and ultimately in diagnostics. However, to assess the functional importance of novel markers, researchers very often turn to cell line model systems. The appropriate choice of a cell line is often a difficult task, but the use of cell microarray (CMA) technology enables a quick screening of several markers in cells of different origins, mimicking a genomic-scale analysis. In order to improve the morphological evaluations of the CMA slides we harvested the cells by conventional trypsinization, mechanical scraping and cells grown on coverslips. We show that mechanical scraping is a good evaluation method since keeps the real morphology very similar to those grown on coverslips. Immunofluorescence images are of higher quality, facilitating the reading of the biomarker cellular and subcellular localization. Here, we describe CMA technology in stem cell research. MDPI 2014-06-26 /pmc/articles/PMC4996362/ /pubmed/27600341 http://dx.doi.org/10.3390/microarrays3030159 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Spada, Alberto La
Rainoldi, Barnaba
Blasio, Andrea De
Biunno, Ida
Application of Tissue Microarray Technology to Stem Cell Research
title Application of Tissue Microarray Technology to Stem Cell Research
title_full Application of Tissue Microarray Technology to Stem Cell Research
title_fullStr Application of Tissue Microarray Technology to Stem Cell Research
title_full_unstemmed Application of Tissue Microarray Technology to Stem Cell Research
title_short Application of Tissue Microarray Technology to Stem Cell Research
title_sort application of tissue microarray technology to stem cell research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996362/
https://www.ncbi.nlm.nih.gov/pubmed/27600341
http://dx.doi.org/10.3390/microarrays3030159
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