Next Article in Journal
Molecular Diagnostic Applications in Colorectal Cancer
Next Article in Special Issue
Tissue Microarray Technology for Molecular Applications: Investigation of Cross-Contamination between Tissue Samples Obtained from the Same Punching Device
Previous Article in Journal / Special Issue
Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer
Please note that, as of 18 July 2017, Microarrays has been renamed to High-Throughput and is now published here.
Open AccessArticle

Application of Tissue Microarray Technology to Stem Cell Research

UOS-IRGB-CNR, Via Fantoli 16/15, 20138, Milano, Italy
IRCCS-Multimedica, Via Fantoli 16/15, 20138, Milano, Italy
Integrated Systems Engineering, Via Fantoli 16/15, 20138, Milano, Italy
Author to whom correspondence should be addressed.
Microarrays 2014, 3(3), 159-167;
Received: 2 April 2014 / Revised: 13 May 2014 / Accepted: 16 May 2014 / Published: 26 June 2014
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. View Full-Text
Keywords: tissue microArray (TMA); cell microArray (CMA); stem cells tissue microArray (TMA); cell microArray (CMA); stem cells
Show Figures

Figure 1

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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop