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Acute Phase CD8+ T Lymphocytes against Alternate Reading Frame Epitopes Select for Rapid Viral Escape during SIV Infection

Overview of attention for article published in PLOS ONE, May 2013
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Title
Acute Phase CD8+ T Lymphocytes against Alternate Reading Frame Epitopes Select for Rapid Viral Escape during SIV Infection
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0061383
Pubmed ID
Authors

Andrew D. Walsh, Benjamin N. Bimber, Arpita Das, Shari M. Piaskowski, Eva G. Rakasz, Alexander T. Bean, Philip A. Mudd, Adam J. Ericsen, Nancy A. Wilson, Austin L. Hughes, David H. O'Connor, Nicholas J. Maness

Abstract

CD8+ T Lymphocytes (CTL) can control AIDS virus replication. However, natural selection favoring viral variants that escape CTL recognition is a common feature of both simian immunodeficiency virus (SIV) infection of macaques and HIV infection of humans. Emerging data indicate that CTL directed against alternate reading frame (ARF)-derived epitopes (a.k.a. cryptic epitopes) are important components of the total virus-specific response in SIV and HIV infection but the contributions of these responses during the critical first several weeks of infection have not been determined. We used a focused deep sequencing approach to examine acute phase viral evolution in response to CTL targeting two polypeptides encoded by ARFs of SIVmac239 in SIV-infected rhesus macaques. We report high magnitude CTL responses as early as three weeks post-infection against epitopes within both ARFs, which both overlap the 5' end of the env gene. Further, mutations accumulated in the epitopes by three to four weeks post infection consistent with viral escape. Interestingly, these mutations largely maintained the primary amino acid sequence of the overlapping Envelope protein. Our data show that high frequency CTL target cryptic epitopes and exert selective pressure on SIV during the acute phase, underscoring the importance of these unique immune responses.

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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 %
Japan 1 4%
United States 1 4%
Brazil 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 5 21%
Professor 3 13%
Student > Master 3 13%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Biochemistry, Genetics and Molecular Biology 3 13%
Immunology and Microbiology 3 13%
Computer Science 2 8%
Social Sciences 2 8%
Other 2 8%
Unknown 3 13%