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Kinomic profiling of glioblastoma cells reveals PLCG1 as a target in restricted glucose

Overview of attention for article published in Biomarker Research, June 2018
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Title
Kinomic profiling of glioblastoma cells reveals PLCG1 as a target in restricted glucose
Published in
Biomarker Research, June 2018
DOI 10.1186/s40364-018-0136-9
Pubmed ID
Authors

Kiera Walker, Nathaniel H. Boyd, Joshua C. Anderson, Christopher D. Willey, Anita B. Hjelmeland

Abstract

For glioblastoma (GBM) treatments to be effective in vivo, understanding the effects of the tumor microenvironment is imperative. In traditional cell culture conditions, glucose concentrations do not model physiologic levels, nor the diminished concentrations found in tumor niches. We therefore sought to profile the differences in kinase activity in GBM cells cultured in restricted glucose to identify pathways that could be targeted with small molecule inhibitors. Using the PamStation12 platform, we examined the ability of GBM lysates from cells cultured in standard or low glucose conditions to phosphorylate 144 tyrosine and 144 serine/threonine peptides that correspond to known protein phosphorylation sites. Potential kinase targets were identified and validated using small molecule kinase inhibitors in GBM spheroid cultures. Using results from two GBM patient-derived xenografts, we determined common changes to peptides derived from Phospholipase C, Gamma 1 (PLCG1) and Raf-1. Using PLC and Raf inhibitors, we found a significantly stronger growth inhibitory effect of the PLC inhibitor U73122 under restricted glucose conditions. In contrast, Raf inhibitors were significantly growth inhibitory regardless of the nutrient level tested. Together, our data demonstrate that kinase activity is altered in low glucose conditions and that kinomic profiling can assist with the identification of effective strategies to target GBM growth. Our data further suggest the importance of accurately modeling the tumor microenvironment to reproduce cancer cell signaling and develop drug screens for anti-cancer agents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Researcher 3 14%
Student > Master 3 14%
Student > Ph. D. Student 2 10%
Student > Postgraduate 2 10%
Other 3 14%
Unknown 5 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 2 10%
Engineering 2 10%
Materials Science 1 5%
Other 1 5%
Unknown 6 29%
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 02 July 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Biomarker Research
#225
of 325 outputs
Outputs of similar age
#253,732
of 328,571 outputs
Outputs of similar age from Biomarker Research
#6
of 6 outputs
Altmetric has tracked 23,092,602 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 325 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.