Literature DB >> 26625007

Systematic Protein Level Regulation via Degradation Machinery Induced by Genotoxic Drugs.

Kohei Kume1,2, Kazushige Ishida, Miyuki Ikeda, Kazuhiro Takemoto3, Tsutomu Shimura4, Lynn Young5, Satoshi S Nishizuka1,2,6.   

Abstract

In this study we monitored protein dynamics in response to cisplatin, 5-fluorouracil, and irinotecan with different concentrations and administration modes using "reverse-phase" protein arrays (RPPAs) in order to gain comprehensive insight into the protein dynamics induced by genotoxic drugs. Among 666 protein time-courses, 38% exhibited an increasing trend, 32% exhibited a steady decrease, and 30% fluctuated within 24 h after drug exposure. We analyzed almost 12,000 time-course pairs of protein levels based on the geometrical similarity by correlation distance (dCor). Twenty-two percent of the pairs showed dCor > 0.8, which indicates that each protein of the pair had similar dynamics. These trends were disrupted by a proteasome inhibitor, MG132, suggesting that the protein degradation system was activated in response to the drugs. Among the pairs with high dCor, the average dCor of pairs with apoptosis-related protein was significantly higher than those without, indicating that regulation of protein levels was induced by the drugs. These results suggest that the levels of numerous functionally distinct proteins may be regulated by common degradation machinery induced by genotoxic drugs.

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Keywords:  cancer cell; correlation distance (dCor); genotoxic drug; protein dynamics; reverse-phase protein microarray (RPPA)

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Year:  2015        PMID: 26625007     DOI: 10.1021/acs.jproteome.5b00759

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  Inhibition of PI3K suppresses propagation of drug-tolerant cancer cell subpopulations enriched by 5-fluorouracil.

Authors:  Kaoru Ishida; Chie Ito; Yukimi Ohmori; Kohei Kume; Kei A Sato; Yuka Koizumi; Akari Konta; Takeshi Iwaya; Mamoru Nukatsuka; Takashi Kobunai; Teiji Takechi; Satoshi S Nishizuka
Journal:  Sci Rep       Date:  2017-05-23       Impact factor: 4.379

  1 in total

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