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Lentiviral Transduction of CD34+ Cells Induces Genome-Wide Epigenetic Modifications

Overview of attention for article published in PLOS ONE, November 2012
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Title
Lentiviral Transduction of CD34+ Cells Induces Genome-Wide Epigenetic Modifications
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048943
Pubmed ID
Authors

Yoshiaki Yamagata, Véronique Parietti, Daniel Stockholm, Guillaume Corre, Catherine Poinsignon, Nizar Touleimat, Damien Delafoy, Céline Besse, Jörg Tost, Anne Galy, András Paldi

Abstract

Epigenetic modifications may occur during in vitro manipulations of stem cells but these effects have remained unexplored in the context of cell and gene therapy protocols. In an experimental model of ex vivo gene modification for hematopoietic gene therapy, human CD34(+) cells were cultured shortly in the presence of cytokines then with a gene transfer lentiviral vector (LV) expected to transduce cells but to have otherwise limited biological effects on the cells. At the end of the culture, the population of cells remained largely similar at the phenotypic level but some epigenetic changes were evident. Exposure of CD34(+) cells to cytokines increased nuclear expression of epigenetic regulators SIRT1 or DNMT1 and caused genome-wide DNA methylation changes. Surprisingly, the LV caused additional and distinct effects. Large-scale genomic DNA methylation analysis showed that balanced methylation changes occurred in about 200 genes following culture of CD34(+) cells in the presence of cytokines but 900 genes were modified following addition of the LV, predominantly increasing CpG methylation. Epigenetic effects resulting from ex vivo culture and from the use of LV may constitute previously unsuspected sources of biological effects in stem cells and may provide new biomarkers to rationally optimize gene and cell therapy protocols.

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The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 1 2%
France 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 35%
Student > Ph. D. Student 15 28%
Student > Bachelor 5 9%
Student > Doctoral Student 2 4%
Professor > Associate Professor 2 4%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 41%
Biochemistry, Genetics and Molecular Biology 11 20%
Medicine and Dentistry 8 15%
Neuroscience 2 4%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 8 15%