Volume 27, Issue 3 pp. 158-165
Emerging Technologies

An approach to proteomic analysis of human tumors

Michael R. Emmert-Buck

Michael R. Emmert-Buck

Pathogenetics Unit, Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland

Cancer Genome Anatomy Project, Office of the Director, National Cancer Institute, Bethesda, Maryland

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John W. Gillespie

John W. Gillespie

Cancer Genome Anatomy Project, Office of the Director, National Cancer Institute, Bethesda, Maryland

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Cloud P. Paweletz

Cloud P. Paweletz

Tissue Proteomics Unit, Division of Cytokine Biology, Center for Biologics Evaluation Research, Food and Drug Administration, Bethesda, Maryland

Department of Chemistry, Georgetown University, Washington, D.C.

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David K. Ornstein

David K. Ornstein

Pathogenetics Unit, Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland

Urologic Oncology Branch, National Cancer Institute, Bethesda, Maryland

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Venkatesha Basrur

Venkatesha Basrur

Laboratory of Cell Biology, National Cancer Institute, Bethesda, Maryland

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Ettore Appella

Ettore Appella

Laboratory of Cell Biology, National Cancer Institute, Bethesda, Maryland

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Quan-Hong Wang

Quan-Hong Wang

Pathology Laboratory, Shanxi Cancer Hospital, Taiyuan, China

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Jing Huang

Jing Huang

Cancer Prevention Studies Branch, National Cancer Institute, Bethesda, Maryland

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Nan Hu

Nan Hu

Cancer Prevention Studies Branch, National Cancer Institute, Bethesda, Maryland

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Phil Taylor

Phil Taylor

Cancer Prevention Studies Branch, National Cancer Institute, Bethesda, Maryland

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Emanuel F. Petricoin III

Corresponding Author

Emanuel F. Petricoin III

Tissue Proteomics Unit, Division of Cytokine Biology, Center for Biologics Evaluation Research, Food and Drug Administration, Bethesda, Maryland

Tissue Proteomics Unit, Division of Cytokine Biology, Center for Biologics Evaluation Research, FDASearch for more papers by this author

This article is a US Government work and, as such, is in the public domain in the United States of America.

Abstract

A strategy for proteomic analysis of microdissected cells derived from human tumor specimens is described and demonstrated by using esophageal cancer as an example. Normal squamous epithelium and corresponding tumor cells from two patients were procured by laser-capture microdissection and studied by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Fifty thousand cells resolved approximately 675 distinct proteins (or isoforms) with molecular weights ranging between 10 and 200 kDa and isoelectric points of pH 3–10. Comparison of the microdissected protein profiles showed a high degree of similarity between the matched normal-tumor samples (98% identical). However, 17 proteins showed tumor-specific alterations, including 10 that were uniquely present in the tumors and seven that were observed only in the normal epithelium. Two of the altered proteins were characterized by mass spectrometry and immunoblot analysis and were identified as cytokeratin 1 and annexin I. Acquisition of 2D-PAGE protein profiles, visualization of disregulated proteins, and subsequent determination of the identity of selected proteins through high-sensitivity MS-MS microsequencing are possible from microdissected cell populations. These separation and analytical techniques are uniquely capable of detecting tumor-specific alterations. Continued refinement of techniques and methodologies to determine the abundance and status of proteins in vivo holds great promise for future study of normal cells and associated neoplasms. Mol. Carcinog. 27:158–165, 2000. Published by Wiley-Liss Inc.

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