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Impact of kinase activating and inactivating patient mutations on binary PKA interactions

Overview of attention for article published in Frontiers in Pharmacology, August 2015
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Title
Impact of kinase activating and inactivating patient mutations on binary PKA interactions
Published in
Frontiers in Pharmacology, August 2015
DOI 10.3389/fphar.2015.00170
Pubmed ID
Authors

Ruth Röck, Johanna E. Mayrhofer, Verena Bachmann, Eduard Stefan

Abstract

The second messenger molecule cAMP links extracellular signals to intracellular responses. The main cellular cAMP effector is the compartmentalized protein kinase A (PKA). Upon receptor initiated cAMP-mobilization, PKA regulatory subunits (R) bind cAMP thereby triggering dissociation and activation of bound PKA catalytic subunits (PKAc). Mutations in PKAc or RIa subunits manipulate PKA dynamics and activities which contribute to specific disease patterns. Mutations activating cAMP/PKA signaling contribute to carcinogenesis or hormone excess, while inactivating mutations cause hormone deficiency or resistance. Here we extended the application spectrum of a Protein-fragment Complementation Assay based on the Renilla Luciferase to determine binary protein:protein interactions (PPIs) of the PKA network. We compared time- and dose-dependent influences of cAMP-elevation on mutually exclusive PPIs of PKAc with the phosphotransferase inhibiting RIIb and RIa subunits and the protein kinase inhibitor peptide (PKI). We analyzed PKA dynamics following integration of patient mutations into PKAc and RIa. We observed that oncogenic modifications of PKAc(L206R) and RIa(Δ184-236) as well as rare disease mutations in RIa(R368X) affect complex formation of PKA and its responsiveness to cAMP elevation. With the cell-based PKA PPI reporter platform we precisely quantified the mechanistic details how inhibitory PKA interactions and defined patient mutations contribute to PKA functions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 5 22%
Student > Bachelor 2 9%
Researcher 2 9%
Other 1 4%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 4 17%
Medicine and Dentistry 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Unspecified 1 4%
Other 2 9%
Unknown 5 22%
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 18 August 2015.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Pharmacology
#10,558
of 16,764 outputs
Outputs of similar age
#224,448
of 267,222 outputs
Outputs of similar age from Frontiers in Pharmacology
#58
of 79 outputs
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