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Proteomic Analysis of Bladder Cancer Indicates Prx-I as a Key Molecule in BI-TK/GCV Treatment System

Overview of attention for article published in PLOS ONE, June 2014
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Title
Proteomic Analysis of Bladder Cancer Indicates Prx-I as a Key Molecule in BI-TK/GCV Treatment System
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0098764
Pubmed ID
Authors

Li Jiang, Xiao Xiao, Jin Ren, YongYong Tang, HongQing Weng, Qi Yang, MingJun Wu, Wei Tang

Abstract

In order to understand the molecular mechanisms of Bifidobacterium infantis thymidine kinase/nucleoside analogue ganciclovir (BI-TK/GCV) treatment system which was proven to exhibit sustainable anti-tumor growth activity and induce apoptosis in bladder cancer, a proteomic approach of isobaric tags for relative and absolute quantification (iTRAQ), followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used. 192 down-regulated and 210 up-regulated proteins were identified after treatment with BI-TK/GCV system in Sprague-Dawley (SD) rats. Western blot analysis and immunohistochemistry analysis confirmed that Peroxiredoxin-I (Prx-I) was significantly down-regulated in bladder cancer after treatment. Prx-I silencing by transfection of Prx-I shRNA significantly suppressed growth, promoted apoptosis and regulated the cell cycle in T24 cells and reduced the phospho-NF-κB p50 and p65 protein expression which revealed the links between Prx-I and NF-κB pathway implied by Ingenuity pathway analysis (IPA). These findings yield new insights into the therapy of bladder cancer, revealing Prx-I as a new therapeutic target and indicating BI-TK/GCV system as a prospective therapy by down-regulation of Prx-I through NF-κB signaling pathway.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Other 4 25%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 19%
Engineering 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Immunology and Microbiology 2 13%
Unspecified 1 6%
Other 5 31%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2015.
All research outputs
#20,252,875
of 22,782,096 outputs
Outputs from PLOS ONE
#173,512
of 194,391 outputs
Outputs of similar age
#193,582
of 228,693 outputs
Outputs of similar age from PLOS ONE
#3,720
of 4,349 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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