JMD etoc alert
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Vrolijk, H.
Right arrow Articles by Tanke, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Vrolijk, H.
Right arrow Articles by Tanke, H.
JMD 2003, Vol. 5, No. 3
Copyright © 2003 American Society for Investigative Pathology & Association for Molecular Pathology

Automated Acquisition of Stained Tissue Microarrays for High-Throughput Evaluation of Molecular Targets

Hans Vrolijk*, Willem Sloos*, Wilma Mesker*, Patrick Franken{dagger}, Riccardo Fodde{dagger}, Hans Morreau{ddagger} and Hans Tanke*

From the Laboratory for Cytochemistry and Cytometry, * Department of Molecular Cell Biology, the Department of Human Genetics, {dagger} and the Department of Pathology, {ddagger} Leiden University Medical Center, Leiden, The Netherlands

At present, limiting factors in the use of tissue microarrays (TMAs) for high-throughput analysis relate to the visual evaluation of the staining patterns of each of the individual cores in the array and to the subsequent input of the results into a database. Such a database is essential to correlate the data with tumor type and outcome, and to evaluate the performance against other markers achieved in separate experiments. So far, these steps are mostly performed by hand, and consequently are time-consuming and potentially prone to bias and errors, respectively. This paper describes the use of a high-resolution flat-bed scanner for digitization of TMAs with a resolution of about 5 x 5 µm2. The arrays are acquired, the positions of the tissue cores are automatically determined, and measurement data including the images of the individual cores are archived. The program provides digital zooming of arrays for interactive verification of the results and rapid linkage of individual core images to data sets of other markers derived from the same array. Performance of the system was compared to manual classification for a representative set of arrays containing colorectal tumors stained with different markers.




This article has been cited by other articles:


Home page
 Nucleic Acids ResHome page
R. J. Marinelli, K. Montgomery, C. L. Liu, N. H. Shah, W. Prapong, M. Nitzberg, Z. K. Zachariah, G. J. Sherlock, Y. Natkunam, R. B. West, et al.
The Stanford Tissue Microarray Database
Nucleic Acids Res., January 11, 2008; 36(suppl_1): D871 - D877.
[Abstract] [Full Text] [PDF]

Home page
 Mol. Cell. ProteomicsHome page
M. Uhlen, E. Bjorling, C. Agaton, C. A.-K. Szigyarto, B. Amini, E. Andersen, A.-C. Andersson, P. Angelidou, A. Asplund, C. Asplund, et al.
A Human Protein Atlas for Normal and Cancer Tissues Based on Antibody Proteomics
Mol. Cell. Proteomics, December 1, 2005; 4(12): 1920 - 1932.
[Abstract] [Full Text] [PDF]

Home page
 Mol. Cell. ProteomicsHome page
M. Uhlen and F. Ponten
Antibody-based Proteomics for Human Tissue Profiling
Mol. Cell. Proteomics, April 1, 2005; 4(4): 384 - 393.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by the American Society for Investigative Pathology and the Association for Molecular Pathology.