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- Title
Automated subcellular localization and quantification of protein expression in tissue microarrays.
- Authors
Camp, Robert L.; Chung, Gina G.; Rimm, David L.
- Abstract
The recent development of tissue microarrays—composed of hundreds of tissue sections from different tumors arrayed on a single glass slide—facilitates rapid evaluation of large-scale outcome studies. Realization of this potential depends on the ability to rapidly and precisely quantify the protein expression within each tissue spot. We have developed a set of algorithms that allow the rapid, automated, continuous and quantitative analysis of tissue microarrays, including the separation of tumor from stromal elements and the sub-cellular localization of signals. Validation studies using estrogen receptor in breast carcinoma show that automated analysis matches or exceeds the results of conventional pathologist-based scoring. Automated analysis and sub-cellular localization of betacatenin in colon cancer identifies two novel, prognostically significant tumor subsets, not detected by traditional pathologist-based scoring. Development of automated analysis technology empowers tissue microarrays for use in discovery-type experiments (more typical of cDNA microarrays), with the added advantage of inclusion of long-term demographic and patient outcome information.
- Subjects
PROTEINS; PROTEIN microarrays
- Publication
Nature Medicine, 2002, Vol 8, Issue 11, p1323
- ISSN
1078-8956
- Publication type
Article
- DOI
10.1038/nm791