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Identification of a high incidence region for retroviral vector integration near exon 1 of the LMO2locus

Overview of attention for article published in Retrovirology, September 2009
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Title
Identification of a high incidence region for retroviral vector integration near exon 1 of the LMO2locus
Published in
Retrovirology, September 2009
DOI 10.1186/1742-4690-6-79
Pubmed ID
Authors

Koichiro Yamada, Tomonori Tsukahara, Kazuhisa Yoshino, Katsuhiko Kojima, Hideyuki Agawa, Yuki Yamashita, Yuji Amano, Mariko Hatta, Yasunori Matsuzaki, Naoki Kurotori, Keiko Wakui, Yoshimitsu Fukushima, Ryosuke Osada, Tanri Shiozawa, Kazuo Sakashita, Kenichi Koike, Satoru Kumaki, Nobuyuki Tanaka, Toshikazu Takeshita

Abstract

Therapeutic retroviral vector integration near the oncogene LMO2 is thought to be a cause of leukemia in X-SCID gene therapy trials. However, no published studies have evaluated the frequency of vector integrations near exon 1 of the LMO2 locus. We identified a high incidence region (HIR) of vector integration using PCR techniques in the upstream region close to the LMO2 transcription start site in the TPA-Mat T cell line. The integration frequency of the HIR was one per 4.46 x 10(4) cells. This HIR was also found in Jurkat T cells but was absent from HeLa cells. Furthermore, using human cord blood-derived CD34+ cells we identified a HIR in a similar region as the TPA-Mat T cell line. One of the X-linked severe combined immunodeficiency (X-SCID) patients that developed leukemia after gene therapy had a vector integration site in this HIR. Therefore, the descriptions of the location and the integration frequency of the HIR presented here may help us to better understand vector-induced leukemogenesis.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 22%
India 1 11%
Unknown 6 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 56%
Student > Ph. D. Student 2 22%
Professor > Associate Professor 1 11%
Student > Doctoral Student 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 67%
Medicine and Dentistry 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2012.
All research outputs
#9,983,592
of 12,472,057 outputs
Outputs from Retrovirology
#608
of 715 outputs
Outputs of similar age
#83,746
of 118,663 outputs
Outputs of similar age from Retrovirology
#2
of 3 outputs
Altmetric has tracked 12,472,057 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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