Quantitative proteomic and interaction network analysis of cisplatin resistance in HeLa cells.
Quantitative proteomic and interaction network analysis of cisplatin resistance in HeLa cells.
复制标题
DOI:
10.1371/journal.pone.0019892
复制
发表时间:
2011
期刊:
影响因子:
3.7
通讯作者:
Bruce JE
中科院分区:
文献类型:
--
作者:
Chavez JD;Hoopmann MR;Weisbrod CR;Takara K;Bruce JE
Cisplatin along with other platinum based drugs are some of the most widely used chemotherapeutic agents. However drug resistance is a major problem for the successful chemotherapeutic treatment of cancer. Current evidence suggests that drug resistance is a multifactorial problem due to changes in the expression levels and activity of a wide number of proteins. A majority of the studies to date have quantified mRNA levels between drug resistant and drug sensitive cell lines. Unfortunately mRNA levels do not always correlate with protein expression levels due to post-transcriptional changes in protein abundance. Therefore global quantitative proteomics screens are needed to identify the protein targets that are differentially expressed in drug resistant cell lines. Here we employ a quantitative proteomics technique using stable isotope labeling with amino acids in cell culture (SILAC) coupled with mass spectrometry to quantify changes in protein levels between cisplatin resistant (HeLa/CDDP) and sensitive HeLa cells in an unbiased fashion. A total of 856 proteins were identified and quantified, with 374 displaying significantly altered expression levels between the cell lines. Expression level data was then integrated with a network of protein-protein interactions, and biological pathways to obtain a systems level view of proteome changes which occur with cisplatin resistance. Several of these proteins have been previously implicated in resistance towards platinum-based and other drugs, while many represent new potential markers or therapeutic targets.
登录
查看更多内容
影响因子:
11.2
作者:
Leung-Pineda V;Huh J;Piwnica-Worms H
通讯作者:
Piwnica-Worms H
影响因子:
14.9
作者:
Jensen LJ;Kuhn M;Stark M;Chaffron S;Creevey C;Muller J;Doerks T;Julien P;Roth A;Simonovic M;Bork P;von Mering C
通讯作者:
von Mering C
影响因子:
6.4
作者:
Berndtsson, Maria;Hagg, Maria;Linder, Stig
通讯作者:
Linder, Stig
影响因子:
50.3
作者:
Kim, RH;Peters, M;Mak, TW
通讯作者:
Mak, TW
影响因子:
14.9
作者:
Jordan, P;Carmo-Fonseca, M
通讯作者:
Carmo-Fonseca, M