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Viral Single-Strand DNA Induces p53-Dependent Apoptosis in Human Embryonic Stem Cells

Overview of attention for article published in PLOS ONE, November 2011
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Title
Viral Single-Strand DNA Induces p53-Dependent Apoptosis in Human Embryonic Stem Cells
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027520
Pubmed ID
Authors

Matthew L. Hirsch, B. Matthew Fagan, Raluca Dumitru, Jacquelyn J. Bower, Swati Yadav, Matthew H. Porteus, Larysa H. Pevny, R. Jude Samulski

Abstract

Human embryonic stem cells (hESCs) are primed for rapid apoptosis following mild forms of genotoxic stress. A natural form of such cellular stress occurs in response to recombinant adeno-associated virus (rAAV) single-strand DNA genomes, which exploit the host DNA damage response for replication and genome persistence. Herein, we discovered a unique DNA damage response induced by rAAV transduction specific to pluripotent hESCs. Within hours following rAAV transduction, host DNA damage signaling was elicited as measured by increased gamma-H2AX, ser15-p53 phosphorylation, and subsequent p53-dependent transcriptional activation. Nucleotide incorporation assays demonstrated that rAAV transduced cells accumulated in early S-phase followed by the induction of apoptosis. This lethal signaling sequalae required p53 in a manner independent of transcriptional induction of Puma, Bax and Bcl-2 and was not evident in cells differentiated towards a neural lineage. Consistent with a lethal DNA damage response induced upon rAAV transduction of hESCs, empty AAV protein capsids demonstrated no toxicity. In contrast, DNA microinjections demonstrated that the minimal AAV origin of replication and, in particular, a 40 nucleotide G-rich tetrad repeat sequence, was sufficient for hESC apoptosis. Our data support a model in which rAAV transduction of hESCs induces a p53-dependent lethal response that is elicited by a telomeric sequence within the AAV origin of replication.

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Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Researcher 14 22%
Student > Master 5 8%
Professor 4 6%
Student > Bachelor 4 6%
Other 12 19%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 15 23%
Neuroscience 6 9%
Medicine and Dentistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 7 11%
Unknown 11 17%