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Chromatinized Protein Kinase C-θ: Can It Escape the Clutches of NF-κB?

Overview of attention for article published in Frontiers in immunology, January 2012
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Chromatinized Protein Kinase C-θ: Can It Escape the Clutches of NF-κB?
Published in
Frontiers in immunology, January 2012
DOI 10.3389/fimmu.2012.00260
Pubmed ID
Authors

Elissa L. Sutcliffe, Jasmine Li, Anjum Zafar, Kristine Hardy, Reena Ghildyal, Robert McCuaig, Nicole C. Norris, Pek Siew Lim, Peter J. Milburn, Marco G. Casarotto, Gareth Denyer, Sudha Rao

Abstract

We recently provided the first description of a nuclear mechanism used by Protein Kinase C-theta (PKC-θ) to mediate T cell gene expression. In this mode, PKC-θ tethers to chromatin to form an active nuclear complex by interacting with proteins including RNA polymerase II, the histone kinase MSK-1, the demethylase LSD1, and the adaptor molecule 14-3-3ζ at regulatory regions of inducible immune response genes. Moreover, our genome-wide analysis identified many novel PKC-θ target genes and microRNAs implicated in T cell development, differentiation, apoptosis, and proliferation. We have expanded our ChIP-on-chip analysis and have now identified a transcription factor motif containing NF-κB binding sites that may facilitate recruitment of PKC-θ to chromatin at coding genes. Furthermore, NF-κB association with chromatin appears to be a prerequisite for the assembly of the PKC-θ active complex. In contrast, a distinct NF-κB-containing module appears to operate at PKC-θ targeted microRNA genes, and here NF-κB negatively regulates microRNA gene transcription. Our efforts are also focusing on distinguishing between the nuclear and cytoplasmic functions of PKCs to ascertain how these kinases may synergize their roles as both cytoplasmic signaling proteins and their functions on the chromatin template, together enabling rapid induction of eukaryotic genes. We have identified an alternative sequence within PKC-θ that appears to be important for nuclear translocation of this kinase. Understanding the molecular mechanisms used by signal transduction kinases to elicit specific and distinct transcriptional programs in T cells will enable scientists to refine current therapeutic strategies for autoimmune diseases and cancer.

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The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 7 29%
Student > Doctoral Student 2 8%
Other 2 8%
Student > Bachelor 1 4%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Biochemistry, Genetics and Molecular Biology 3 13%
Materials Science 3 13%
Business, Management and Accounting 2 8%
Medicine and Dentistry 2 8%
Other 3 13%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 July 2019.
All research outputs
#8,261,140
of 25,371,288 outputs
Outputs from Frontiers in immunology
#10,107
of 31,513 outputs
Outputs of similar age
#70,776
of 250,087 outputs
Outputs of similar age from Frontiers in immunology
#62
of 275 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 31,513 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 66% 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 250,087 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 70% of its contemporaries.
We're also able to compare this research output to 275 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 71% of its contemporaries.