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CD28 Costimulation Regulates Genome-Wide Effects on Alternative Splicing

Overview of attention for article published in PLOS ONE, June 2012
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Title
CD28 Costimulation Regulates Genome-Wide Effects on Alternative Splicing
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0040032
Pubmed ID
Authors

Manish J. Butte, Sun Jung Lee, Jonathan Jesneck, Mary E. Keir, W. Nicholas Haining, Arlene H. Sharpe

Abstract

CD28 is the major costimulatory receptor required for activation of naïve T cells, yet CD28 costimulation affects the expression level of surprisingly few genes over those altered by TCR stimulation alone. Alternate splicing of genes adds diversity to the proteome and contributes to tissue-specific regulation of genes. Here we demonstrate that CD28 costimulation leads to major changes in alternative splicing during activation of naïve T cells, beyond the effects of TCR alone. CD28 costimulation affected many more genes through modulation of alternate splicing than by modulation of transcription. Different families of biological processes are over-represented among genes alternatively spliced in response to CD28 costimulation compared to those genes whose transcription is altered, suggesting that alternative splicing regulates distinct biological effects. Moreover, genes dependent upon hnRNPLL, a global regulator of splicing in activated T cells, were enriched in T cells activated through TCR plus CD28 as compared to TCR alone. We show that hnRNPLL expression is dependent on CD28 signaling, providing a mechanism by which CD28 can regulate splicing in T cells and insight into how hnRNPLL can influence signal-induced alternative splicing in T cells. The effects of CD28 on alternative splicing provide a newly appreciated means by which CD28 can regulate T cell responses.

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The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 10 18%
Other 5 9%
Student > Bachelor 5 9%
Student > Master 4 7%
Other 9 16%
Unknown 9 16%
Readers by discipline Count As %
Immunology and Microbiology 15 27%
Agricultural and Biological Sciences 14 25%
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 3 5%
Mathematics 1 2%
Other 3 5%
Unknown 12 22%