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Selective Inhibition of STAT3 Phosphorylation Using a Nuclear-Targeted Kinase Inhibitor

Overview of attention for article published in ACS Chemical Biology, August 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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32 Mendeley
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Article details
Title
Selective Inhibition of STAT3 Phosphorylation Using a Nuclear-Targeted Kinase Inhibitor
Published in
ACS Chemical Biology, August 2017
DOI 10.1021/acschembio.7b00341
Pubmed ID
Authors
Abstract

The discovery of compounds that selectively modulate signaling and effector proteins downstream of EGFR could have important implications for understanding specific roles for pathway activation. A complicating factor for receptor tyrosine kinases is their capacity to be translocated to the nucleus upon ligand engagement. Once localized in subcellular compartments like the nucleus, the roles for EGFR take on additional features many of which are still being revealed. Additionally, nuclear localization of EGFR has been implicated in downstream events that have significance for therapy resistance and disease progression. The challenges to addressing the differential roles for EGFR in the nucleus motivated experimental approaches that can selectively modulate its subcellular function. By adding modifications to the established EGFR kinase inhibitor gefitinib, an approach to small molecule conjugates with a unique nuclear-targeting peptoid sequence was tested in both human and murine breast tumor cell models for their capacity to inhibit EGF-stimulated activation of ERK1/2 and STAT3. While gefitinib alone inhibits both of these downstream effectors, data acquired here indicate that compartmentalization of the gefitinib conjugates allows for pathway specific inhibition of STAT3 while not affecting ERK1/2 signaling. The inhibitor-conjugates offered a more direct route to evaluate the role of EGF-stimulated epithelial-to-mesenchymal transition in these breast cancer cell models. These conjugates revealed that STAT3 activation is not involved in EGF-induced EMT and instead utilization of cytoplasmic MAP kinase signaling pathway is critical to this process. This is the first example of a conjugate kinase inhibitor capable of partitioning to the nucleus, and offers a new approach to enhancing kinase inhibitor specificity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Other 5 16%
Student > Doctoral Student 2 6%
Student > Bachelor 1 3%
Other 1 3%
Unknown 9 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 19%
Chemistry 5 16%
Agricultural and Biological Sciences 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Social Sciences 1 3%
Other 2 6%
Unknown 11 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 August 2017.
All research outputs
#6,194,588
of 22,997,544 outputs
Outputs from ACS Chemical Biology
#1,416
of 3,282 outputs
Outputs of similar age
#98,474
of 318,825 outputs
Outputs of similar age from ACS Chemical Biology
#25
of 70 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,282 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 318,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.