Microarrays 2014, 3(3), 159-167; doi:10.3390/microarrays3030159
Article

Application of Tissue Microarray Technology to Stem Cell Research

1email, 2email, 3email and 1,2,* email
Received: 2 April 2014; in revised form: 13 May 2014 / Accepted: 16 May 2014 / Published: 26 June 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: tissue microArray (TMA); cell microArray (CMA); stem cells
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MDPI and ACS Style

La Spada, A.; Rainoldi, B.; De Blasio, A.; Biunno, I. Application of Tissue Microarray Technology to Stem Cell Research. Microarrays 2014, 3, 159-167.

AMA Style

La Spada A, Rainoldi B, De Blasio A, Biunno I. Application of Tissue Microarray Technology to Stem Cell Research. Microarrays. 2014; 3(3):159-167.

Chicago/Turabian Style

La Spada, Alberto; Rainoldi, Barnaba; De Blasio, Andrea; Biunno, Ida. 2014. "Application of Tissue Microarray Technology to Stem Cell Research." Microarrays 3, no. 3: 159-167.

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