↓ Skip to main content

Dephosphorylation of CDK9 by protein phosphatase 2A and protein phosphatase-1 in Tat-activated HIV-1 transcription

Overview of attention for article published in Retrovirology, July 2005
Altmetric Badge

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dephosphorylation of CDK9 by protein phosphatase 2A and protein phosphatase-1 in Tat-activated HIV-1 transcription
Published in
Retrovirology, July 2005
DOI 10.1186/1742-4690-2-47
Pubmed ID
Authors

Tatyana Ammosova, Kareem Washington, Zufan Debebe, John Brady, Sergei Nekhai

Abstract

HIV-1 Tat protein recruits human positive transcription elongation factor P-TEFb, consisting of CDK9 and cyclin T1, to HIV-1 transactivation response (TAR) RNA. CDK9 is maintained in dephosphorylated state by TFIIH and undergo phosphorylation upon the dissociation of TFIIH. Thus, dephosphorylation of CDK9 prior to its association with HIV-1 preinitiation complex might be important for HIV-1 transcription. Others and we previously showed that protein phosphatase-2A and protein phosphatase-1 regulates HIV-1 transcription. In the present study we analyze relative contribution of PP2A and PP1 to dephosphorylation of CDK9 and to HIV-1 transcription in vitro and in vivo.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 37%
Student > Master 4 15%
Student > Doctoral Student 3 11%
Student > Ph. D. Student 2 7%
Professor 2 7%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 37%
Biochemistry, Genetics and Molecular Biology 7 26%
Immunology and Microbiology 2 7%
Medicine and Dentistry 2 7%
Computer Science 1 4%
Other 1 4%
Unknown 4 15%