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Deparaffinization protocol for tissue microarray
new
protocol
A short protocol on deparaffinization of tissue array slide. (PDF file from US Biomax, Inc) ...
Antigen retrieval protocol for tissue array slide
protocol
This protocol is designed for antigen retrieval
from formallin-fixed, paraffin-embedded tissue sections. (PDF file from US Biomax, Inc) ...
Immunohistochemistry staining protocol for tissue microarray slides
protocol
An immunohistochemistry staining protocol for tissue microarray slides based on Vector labs' ABC method. (PDF file from US biomax inc.) ...
Creating an interactive TMA database for image viewing and data input using Excel
protocol
This page descirbes how to set up a Microsoft Excel Database for tissue microarray data analysis. You can also download the excel template file from the page. (Giorgio Cattoretti, MD, Columbia University) ...
Creating an interactive database for image viewing and data input of TMA
new
protocol
This tutorial gives detailed instruction on how to set up microsoft excel database for interactively management of images and data from tissue microarray experiments. (Dr. Cattoretti, Columbia University) ...
What is tissue microarray: an online introduction
new
review
An online introduction on tissue microarry (TMA) techniques. (Tissue microarray facility, Yale University School of Medicine).
Topics:
What are Tissue Microarrays?
Why Use Tissue Microarrays?
What are the Advantages?
Other Issues
Automated Analys ...
Frequently Asked Questions on Tissue Microarry (TMA)
new
review
Some frequently asked question on Tissue Microarry (TMA) technology:
What about tumor heterogeneity ? How many cores per case are required ?
How many specimens can be included per array block ?
How long does it take to make a tissue array ?
How do you ...
Tissue microarray image analysis software from Stanford
software
Downloadable software by Chih Long Liu et al., Stanford University.
TMA-Deconvoluter: Converts raw scoring worksheets from the 3-D TMA layout into a 2-D tabulated table format suitable for further analysis.
Stainfinder: The source code for the CGI progr ...
TMAJ: Software for Managing a Tissue MicroArray Database
new
software
TMAJ is open-source software that was developed at the Johns Hopkins University for managing a Tissue MicroArray (TMA) database. It contains support for multiple organ systems, multiple users, and is designed to be compliant with HIPPA regulations. (TMA lab, J ...
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Last update:  08-May-2008 10:00 pm
Related new papers and reviews
Validation of tissue microarray technology in squamous cell carcinoma of the esophagus. Virchows Arch. 2008 Apr 8;
Authors: Boone J, van Hillegersberg R, van Diest PJ, Offerhaus GJ, Borel Rinkes IH, Ten Kate FJ
Tissue microarray (TMA) technology has been developed to facilitate high-throughput immunohistochemical and in situ hybridization analysis of tissues by inserting small tissue biopsy cores into a single paraffin block. Several studies have revealed novel prognostic biomarkers in esophageal squamous cell carcinoma (ESCC) by means of TMA technology, although this technique has not yet been validated for these tumors. Because representativeness of the donor tissue cores may be a disadvantage compared to full sections, the aim of this study was to assess if TMA technology provides representative immunohistochemical results in ESCC. A TMA was constructed containing triplicate cores of 108 formalin-fixed, paraffin-embedded squamous cell carcinomas of the esophagus. The agreement in the differentiation grade and immunohistochemical staining scores of CK5/6, CK14, E-cadherin, Ki-67, and p53 between TMA cores and a subset of 64 randomly selected donor paraffin blocks was determined using kappa statistics. The concurrence between TMA cores and donor blocks was moderate for Ki-67 (kappa = 0.42) and E-cadherin (kappa = 0.47), substantial for differentiation grade (kappa = 0.65) and CK14 (kappa = 0.71), and almost perfect for p53 (kappa = 0.86) and CK5/6 (kappa = 0.93). TMA technology appears to be a valid method for immunohistochemical analysis of molecular markers in ESCC provided that the staining pattern in the tumor is homogeneous.
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