American Association for Cancer Research
Browse
00085472can052748-sup-supplementary_table_1.pdf (19.36 kB)

Supplementary Table S1 from Ligand-Directed Surface Profiling of Human Cancer Cells with Combinatorial Peptide Libraries

Download (19.36 kB)
journal contribution
posted on 2023-03-30, 16:43 authored by Mikhail G. Kolonin, Laura Bover, Jessica Sun, Amado J. Zurita, Kim-Anh Do, Johanna Lahdenranta, Marina Cardó-Vila, Ricardo J. Giordano, Diana E. Jaalouk, Michael G. Ozawa, Catherine A. Moya, Glauco R. Souza, Fernanda I. Staquicini, Akihiko Kunyiasu, Dominic A. Scudiero, Susan L. Holbeck, Edward A. Sausville, Wadih Arap, Renata Pasqualini
Supplementary Table S1 from Ligand-Directed Surface Profiling of Human Cancer Cells with Combinatorial Peptide Libraries

History

ARTICLE ABSTRACT

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)

Usage metrics

    Cancer Research

    Categories

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC