This Article Full Text Full Text (PDF) Supplementary Data Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Kolonin, M. G. Articles by Pasqualini, R. Search for Related Content PubMed PubMed Citation Articles by Kolonin, M. G. Articles by Pasqualini, R.

Ligand-Directed Surface Profiling of Human Cancer Cells with Combinatorial Peptide Libraries

¹ The University of Texas M.D. Anderson Cancer Center, Houston, Texas; and ² Developmental Therapeutics Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, NIH, Bethesda, Maryland

Requests for reprints: Renata Pasqualini or Wadih Arap, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030. Phone: 713-792-3873; Fax: 713-745-2999; E-mail: rpasqual{at}mdanderson.org; warap{at}mdanderson.org.

A collection of 60 cell lines derived from human tumors (NCI-60) has been widely explored as a tool for anticancer drug discovery. Here, we profiled the cell surface of the NCI-60 by high-throughput screening of a phage-displayed random peptide library and classified the cell lines according to the binding selectivity of 26,031 recovered tripeptide motifs. By analyzing selected cell-homing peptide motifs and their NCI-60 recognition patterns, we established that some of these motifs (a) are similar to domains of human proteins known as ligands for tumor cell receptors and (b) segregate among the NCI-60 in a pattern correlating with expression profiles of the corresponding receptors. We biochemically validated some of the motifs as mimic peptides of native ligands for the epidermal growth factor receptor. Our results indicate that ligand-directed profiling of tumor cell lines can select functional peptides from combinatorial libraries based on the expression of tumor cell surface molecules, which in turn could be exploited as "druggable" receptors in specific types of cancer. (Cancer Res 2006; 66(1): 34-40)

This article has been cited by other articles:

				V. R. Muzykantov Chair's Summary Proceedings of the ATS, August 15, 2009; 6(5): 398 - 402. [Full Text] [PDF]

				B. Schoeberl, E. A. Pace, J. B. Fitzgerald, B. D. Harms, L. Xu, L. Nie, B. Linggi, A. Kalra, V. Paragas, R. Bukhalid, et al. Therapeutically Targeting ErbB3: A Key Node in Ligand-Induced Activation of the ErbB Receptor-PI3K Axis Sci. Signal., June 30, 2009; 2(77): ra31 - ra31. [Abstract] [Full Text] [PDF]

				K. Y. Dane, C. Gottstein, and P. S. Daugherty Cell surface profiling with peptide libraries yields ligand arrays that classify breast tumor subtypes Mol. Cancer Ther., May 1, 2009; 8(5): 1312 - 1318. [Abstract] [Full Text] [PDF]

				F. I. Staquicini, E. Dias-Neto, J. Li, E. Y. Snyder, R. L. Sidman, R. Pasqualini, and W. Arap Discovery of a functional protein complex of netrin-4, laminin {gamma}1 chain, and integrin {alpha}6{beta}1 in mouse neural stem cells PNAS, February 24, 2009; 106(8): 2903 - 2908. [Abstract] [Full Text] [PDF]

				S. Nishimura, S. Takahashi, H. Kamikatahira, Y. Kuroki, D. E. Jaalouk, S. O'Brien, E. Koivunen, W. Arap, R. Pasqualini, H. Nakayama, et al. Combinatorial Targeting of the Macropinocytotic Pathway in Leukemia and Lymphoma Cells J. Biol. Chem., April 25, 2008; 283(17): 11752 - 11762. [Abstract] [Full Text] [PDF]