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Protein Kinase A Regulates Molecular Chaperone Transcription and Protein Aggregation

Overview of attention for article published in PLOS ONE, December 2011
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Title
Protein Kinase A Regulates Molecular Chaperone Transcription and Protein Aggregation
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028950
Pubmed ID
Authors

Yue Zhang, Ayesha Murshid, Thomas Prince, Stuart K. Calderwood

Abstract

Heat shock factor 1 (HSF1) regulates one of the major pathways of protein quality control and is essential for deterrence of protein-folding disorders, particularly in neuronal cells. However, HSF1 activity declines with age, a change that may open the door to progression of neurodegenerative disorders such as Huntington's disease. We have investigated mechanisms of HSF1 regulation that may become compromised with age. HSF1 binds stably to the catalytic domain of protein kinase A (PKAcα) and becomes phosphorylated on at least one regulatory serine residue (S320). We show here that PKA is essential for effective transcription of HSP genes by HSF1. PKA triggers a cascade involving HSF1 binding to the histone acetylase p300 and positive translation elongation factor 1 (p-TEFb) and phosphorylation of the c-terminal domain of RNA polymerase II, a key mechanism in the downstream steps of HSF1-mediated transcription. This cascade appears to play a key role in protein quality control in neuronal cells expressing aggregation-prone proteins with long poly-glutamine (poly-Q) tracts. Such proteins formed inclusion bodies that could be resolved by HSF1 activation during heat shock. Resolution of the inclusions was inhibited by knockdown of HSF1, PKAcα, or the pTEFb component CDK9, indicating a key role for the HSF1-PKA cascade in protein quality control.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 7 20%
Student > Master 4 11%
Student > Bachelor 3 9%
Professor 2 6%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 43%
Biochemistry, Genetics and Molecular Biology 8 23%
Neuroscience 2 6%
Physics and Astronomy 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 6 17%