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Identification of Novel Protein Expression Changes Following Cisplatin Treatment and Application to Combination Therapy

Overview of attention for article published in Journal of Proteome Research, September 2017
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Title
Identification of Novel Protein Expression Changes Following Cisplatin Treatment and Application to Combination Therapy
Published in
Journal of Proteome Research, September 2017
DOI 10.1021/acs.jproteome.7b00576
Pubmed ID
Authors

Amy L. Stark, Ashraf G. Madian, Sawyer W. Williams, Vincent Chen, Claudia Wing, Ronald J. Hause, Lida Anita To, Amy L. Gill, Jamie L. Myers, Lidija K. Gorsic, Mark F. Ciaccio, Kevin P. White, Richard B. Jones, M. Eileen Dolan

Abstract

Determining the effect of chemotherapeutic treatment on changes in protein expression can provide important targets for overcoming resistance. Due to challenges in simultaneously measuring large numbers of proteins, a paucity of data exists on global changes. To overcome these challenges, we utilized microwestern arrays that allowed us to measure the abundance and modification state of hundreds of cell signaling and transcription factor proteins in cells following drug exposure. HapMap lymphoblastoid cell lines (LCLs) were exposed to cisplatin, a chemotherapeutic agent commonly used to treat testicular, head and neck, non-small cell lung, and gynecological cancers. We evaluated the expression of 259 proteins following 2, 6, and 12 hours of cisplatin treatment in two LCLs with discordant sensitivity to cisplatin. Of these 259 proteins, 66 displayed significantly different protein expression changes (p<0.05). Fifteen of these proteins were evaluated in a second pair of LCLs with discordant sensitivities to cisplatin; six demonstrated significant differences in expression. We then evaluated a subset of 63 proteins in a second set of LCLs with discordant sensitivity and 40% of those that were significant in the first pair were also significant in the second part with concordant directionality (p<0.05). We functionally validated one of the top proteins identified, PDK1, and demonstrated a synergistic relationship between cisplatin and a PDK1 inhibitor in multiple lung cancer lines. This study highlights the potential for identifying novel targets through an understanding of cellular changes in protein expression and modification following drug treatments.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Bachelor 3 27%
Other 1 9%
Student > Master 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 55%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Immunology and Microbiology 1 9%
Neuroscience 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 1 9%
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 29 September 2017.
All research outputs
#18,572,036
of 23,002,898 outputs
Outputs from Journal of Proteome Research
#5,207
of 6,059 outputs
Outputs of similar age
#246,012
of 321,083 outputs
Outputs of similar age from Journal of Proteome Research
#95
of 126 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,059 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.