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Knockdown of HPRT for Selection of Genetically Modified Human Hematopoietic Progenitor Cells

Overview of attention for article published in PLOS ONE, March 2013
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Title
Knockdown of HPRT for Selection of Genetically Modified Human Hematopoietic Progenitor Cells
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059594
Pubmed ID
Authors

Rashmi Choudhary, Dmitry Baturin, Susan Fosmire, Brian Freed, Christopher C. Porter

Abstract

The inability to obtain sufficient numbers of transduced cells remains a limitation in gene therapy. One strategy to address this limitation is in vivo pharmacologic selection of transduced cells. We have previously shown that knockdown of HPRT using lentiviral delivered shRNA facilitates efficient selection of transduced murine hematopoietic progenitor cells (HPC) using 6-thioguanine (6TG). Herein, we now extend these studies to human HPC. We tested multiple shRNA constructs in human derived cell lines and identified the optimal shRNA sequence for knockdown of HPRT and 6TG resistance. We then tested this vector in human umbilical cord blood derived HPC in vitro and in NOD/SCID recipients. Knockdown of HPRT effectively provided resistance to 6TG in vitro. 6TG treatment of mice resulted in increased percentages of transduced human CD45(+) cells in the peripheral blood and in the spleen in particular, in both myeloid and lymphoid compartments. 6TG treatment of secondary recipients resulted in higher percentages of transduced human cells in the bone marrow, confirming selection from the progeny of long-term repopulating HPCs. However, the extent of selection of cells in the bone marrow at the doses of 6TG tested and the toxicity of higher doses, suggest that this strategy may be limited to selection of more committed progenitor cells. Together, these data suggest that human HPC can be programmed to be resistant to purine analogs, but that HPRT knockdown/6TG-based selection may not be robust enough for in vivo selection.

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Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Ph. D. Student 7 17%
Student > Master 7 17%
Student > Bachelor 5 12%
Student > Postgraduate 4 10%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 36%
Agricultural and Biological Sciences 15 36%
Medicine and Dentistry 4 10%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Other 3 7%
Unknown 2 5%