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A CSF‐1 receptor kinase inhibitor targets effector functions and inhibits pro‐inflammatory cytokine production from murine macrophage populations

Overview of attention for article published in FASEB Journal, July 2006
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
patent
5 patents

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
71 Mendeley
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Title
A CSF‐1 receptor kinase inhibitor targets effector functions and inhibits pro‐inflammatory cytokine production from murine macrophage populations
Published in
FASEB Journal, July 2006
DOI 10.1096/fj.06-5848fje
Pubmed ID
Authors

Katharine M. Irvine, Christopher J. Burns, Andrew F. Wilks, Stephen Su, David A. Hume, Matthew J. Sweet, Katharine M. Irvine, Christopher J. Burns, Andrew F. Wilks, Stephen Su, David A. Hume, Matthew J. Sweet

Abstract

CSF-1 regulates macrophage differentiation, survival, and function, and is an attractive therapeutic target for chronic inflammation and malignant diseases. Here we describe the effects of a potent and selective inhibitor of CSF-1R-CYC10268-on CSF-1R-dependent signaling. In in vitro kinase assays, CYC10268 was active in the low nanomolar range and showed selectivity over other kinases such as Abl and Kit. CYC10268 blocked survival mediated by CSF-1R in primary murine bone marrow-derived macrophages (BMM) and in the factor-dependent cell line Ba/F3, in which the CSF-1R was ectopically expressed. CYC10268 also inhibited CSF-1 regulated signaling (Akt, ERK-1/2), gene expression (urokinase plasminogen activator, toll-like receptor 9, and apolipoprotein E), and priming of LPS-inducible cytokine production in BMM. In thioglycollate-elicited peritoneal macrophages (TEPM), which survive in the absence of exogenous CSF-1, CYC10268 impaired LPS-induced cytokine production and regulated expression of known CSF-1 target genes. These observations support the conclusion that TEPM are CSF-1 autocrine and that CSF-1 plays a central role in macrophage effector functions during inflammation. CSF-1R inhibitors such as CYC10268 provide a powerful tool to dissect the role of the CSF-1/CSF-1R signaling system in a range of biological systems and have potential for a number of therapeutic applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 39%
Student > Ph. D. Student 11 15%
Student > Master 6 8%
Professor 5 7%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 55%
Medicine and Dentistry 9 13%
Chemistry 5 7%
Immunology and Microbiology 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 3 4%
Unknown 6 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 15 July 2020.
All research outputs
#2,026,213
of 25,371,288 outputs
Outputs from FASEB Journal
#822
of 11,447 outputs
Outputs of similar age
#4,026
of 90,156 outputs
Outputs of similar age from FASEB Journal
#5
of 70 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,447 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 92% 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 90,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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 done particularly well, scoring higher than 92% of its contemporaries.