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RAISING is a high-performance method for identifying random transgene integration sites

Authors :
Yusaku Wada
Tomoo Sato
Hiroo Hasegawa
Takahiro Matsudaira
Naganori Nao
Ariella L. G. Coler-Reilly
Tomohiko Tasaka
Shunsuke Yamauchi
Tomohiro Okagawa
Haruka Momose
Michikazu Tanio
Madoka Kuramitsu
Daisuke Sasaki
Nariyoshi Matsumoto
Naoko Yagishita
Junji Yamauchi
Natsumi Araya
Kenichiro Tanabe
Makoto Yamagishi
Makoto Nakashima
Shingo Nakahata
Hidekatsu Iha
Masao Ogata
Masamichi Muramatsu
Yoshitaka Imaizumi
Kaoru Uchimaru
Yasushi Miyazaki
Satoru Konnai
Katsunori Yanagihara
Kazuhiro Morishita
Toshiki Watanabe
Yoshihisa Yamano
Masumichi Saito
Source :
Communications biology. 5(1)
Publication Year :
2021

Abstract

Both natural viral infections and therapeutic interventions using viral vectors pose significant risks of malignant transformation. Monitoring for clonal expansion of infected cells is important for detecting cancer. Here we developed a novel method of tracking clonality via the detection of transgene integration sites. RAISING (Rapid Amplification of Integration Sites without Interference by Genomic DNA contamination) is a sensitive, inexpensive alternative to established methods. Its compatibility with Sanger sequencing combined with our CLOVA (Clonality Value) software is critical for those without access to expensive high throughput sequencing. We analyzed samples from 688 individuals infected with the retrovirus HTLV-1, which causes adult T-cell leukemia/lymphoma (ATL) to model our method. We defined a clonality value identifying ATL patients with 100% sensitivity and 94.8% specificity, and our longitudinal analysis also demonstrates the usefulness of ATL risk assessment. Future studies will confirm the broad applicability of our technology, especially in the emerging gene therapy sector.

Details

ISSN :
23993642
Volume :
5
Issue :
1
Database :
OpenAIRE
Journal :
Communications biology
Accession number :
edsair.doi.dedup.....88565a56164611ba2c25df7d8bc6529f