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Deletion of the LTR Enhancer/Promoter Has No Impact on the Integration Profile of MLV Vectors in Human Hematopoietic Progenitors

Overview of attention for article published in PLOS ONE, January 2013
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Title
Deletion of the LTR Enhancer/Promoter Has No Impact on the Integration Profile of MLV Vectors in Human Hematopoietic Progenitors
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0055721
Pubmed ID
Authors

Arianna Moiani, Annarita Miccio, Ermanno Rizzi, Marco Severgnini, Danilo Pellin, Julia Debora Suerth, Christopher Baum, Gianluca De Bellis, Fulvio Mavilio

Abstract

Moloney murine leukemia virus (MLV)-derived gamma-retroviral vectors integrate preferentially near transcriptional regulatory regions in the human genome, and are associated with a significant risk of insertional gene deregulation. Self-inactivating (SIN) vectors carry a deletion of the U3 enhancer and promoter in the long terminal repeat (LTR), and show reduced genotoxicity in pre-clinical assays. We report a high-definition analysis of the integration preferences of a SIN MLV vector compared to a wild-type-LTR MLV vector in the genome of CD34(+) human hematopoietic stem/progenitor cells (HSPCs). We sequenced 13,011 unique SIN-MLV integration sites and compared them to 32,574 previously generated MLV sites in human HSPCs. The SIN-MLV vector recapitulates the integration pattern observed for MLV, with the characteristic clustering of integrations around enhancer and promoter regions associated to H3K4me3 and H3K4me1 histone modifications, specialized chromatin configurations (presence of the H2A.Z histone variant) and binding of RNA Pol II. SIN-MLV and MLV integration clusters and hot spots overlap in most cases and are generated at a comparable frequency, indicating that the reduced genotoxicity of SIN-MLV vectors in hematopoietic cells is not due to a modified integration profile.

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Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Researcher 12 32%
Student > Master 4 11%
Other 3 8%
Student > Bachelor 2 5%
Other 3 8%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 39%
Biochemistry, Genetics and Molecular Biology 8 21%
Immunology and Microbiology 4 11%
Medicine and Dentistry 4 11%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 5 13%