An automated image capture and quantitation approach to identify proteins affecting tumor cell proliferation |
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Authors: | Bhawe Kaumudi M Blake Robert A Clary Douglas O Flanagan Peter M |
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Institution: | Target Discovery Department, Sugen, Inc. (A Subsidiary of Pfizer), South San Francisco, CA, USA. kbhawe@exelixis.com |
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Abstract: | To facilitate the characterization of proteins that negatively regulate tumor cell proliferation in vitro, the authors have implemented a high-throughput functional assay that measures S-phase progression of tumor cell lines. For 2 tumor cell lines-human melanoma A375 and human lung carcinoma A549-conditions were established using the cyclin-dependent kinase inhibitor, p27kip; the tumor suppressor p53, a kinase-inactive allele of the cell cycle-regulated serine/threonine kinase Aurora2; and the G1/S drug block, aphidicolin. For screening purposes, gene libraries were delivered by adenoviral infection. Cells were fixed and labeled by immunocytochemistry, and an automated image acquisition and analysis package on a Cellomics ArrayScanII was used to quantify the effects of these treatments on cell proliferation. The assay can be used to identify novel proteins involved in proliferation and serves as a more robust, reproducible, and sensitive alternative to enzyme-linked immunosorbent assay (ELISA)-based technologies. |
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