Infectivity assessment of porcine endogenous retrovirus using high-throughput sequencing technologies

被引:3
|
作者
Kono, Ken [1 ]
Kataoka, Kiyoko [1 ]
Yuan, Yuzhe [2 ]
Yusa, Keisuke [2 ]
Uchida, Kazuhisa [2 ]
Sato, Yoji [1 ,3 ,4 ,5 ]
机构
[1] Natl Inst Hlth Sci, Div Cell Based Therapeut Prod, 3Tonomachi, Kawasaki, Kanagawa 2109501, Japan
[2] Kobe Univ, Grad Sch Sci Technol & Innovat, Kobe, Hyogo, Japan
[3] Kanagawa Inst Ind Sci & Technol, LiSE Lab, Ebina, Kanagawa, Japan
[4] Kyushu Univ, Grad Sch Pharmaceut Sci, Dept Translat Pharmaceut Sci, Fukuoka, Japan
[5] Osaka Univ, Grad Sch Pharmaceut Sci, Dept Cellular & Gene Therapy Prod, Osaka, Japan
关键词
Porcine endogenous retrovirus; High-throughput sequencing; Xenotransplantation; ASSOCIATION CONSENSUS STATEMENT; UNDERTAKING CLINICAL-TRIALS; ISLET XENOTRANSPLANTATION; PERV; PRODUCTS; PIGS;
D O I
10.1016/j.biologicals.2021.05.001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Xenogenic cell-based therapeutic products are expected to alleviate the chronic shortage of human donor organs. For example, porcine islet cell products are currently under development for the treatment of human diabetes. As porcine cells possess endogenous retrovirus (PERV), which can replicate in human cells in vitro, the potential transmission of PERV has raised concerns in the case of products that use living pig cells as raw materials. Although several PERV sequences exist in the porcine genome, not all have the ability to infect human cells. Therefore, polymerase chain reaction analysis, which amplifies a portion of the target gene, may not accurately assess the infection risk. Here, we determined porcine genome sequences and evaluated the infectivity of PERVs using high-throughput sequencing technologies. RNA sequencing was performed on both PERV-infected human cells and porcine cells, and reads mapped to PERV sequences were examined. The normalized number of the reads mapped to PERV regions was able to predict the infectivity of PERVs, indicating that it would be useful for evaluation of the PERV infection risk prior to transplantation of porcine products.
引用
下载
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [11] High-throughput DNA sequencing technologies for water and wastewater analysis
    Chan, Alexander W. Y.
    Naphtali, James
    Schellhorn, Herb E.
    SCIENCE PROGRESS, 2019, 102 (04) : 351 - 376
  • [12] Data structures and compression algorithms for high-throughput sequencing technologies
    Kenny Daily
    Paul Rigor
    Scott Christley
    Xiaohui Xie
    Pierre Baldi
    BMC Bioinformatics, 11
  • [13] Data structures and compression algorithms for high-throughput sequencing technologies
    Daily, Kenny
    Rigor, Paul
    Christley, Scott
    Xie, Xiaohui
    Baldi, Pierre
    BMC BIOINFORMATICS, 2010, 11
  • [14] Quality assessment and control of high-throughput sequencing data
    Watson, Mick
    FRONTIERS IN GENETICS, 2014, 5
  • [15] Transcriptome profile analysis of porcine adipose tissue by high-throughput sequencing
    Li, X. J.
    Yang, H.
    Li, G. X.
    Zhang, G. H.
    Cheng, J.
    Guan, H.
    Yang, G. S.
    ANIMAL GENETICS, 2012, 43 (02) : 144 - 152
  • [16] No Enhanced Expression and Infectivity of Porcine Endogenous Retrovirus in Primary Porcine Hepatocytes with Chitosan Nanofiber Scaffold
    Han, Bing
    Shi, Xiaolei
    Gu, Zhong-Ze
    Xiao, Jiangqiang
    Chu, Xuehui
    Gu, Jinyang
    Zhang, Yue
    Tan, Jiajun
    Ding, Yitao
    JOURNAL OF BIOMEDICAL NANOTECHNOLOGY, 2011, 7 (03) : 377 - 383
  • [17] STEAK: A specific tool for transposable elements and retrovirus detection in high-throughput sequencing data
    Santander, Cindy G.
    Gambron, Philippe
    Marchi, Emanuele
    Karamitros, Timokratis
    Katzourakis, Aris
    Magiorkinis, Gkikas
    VIRUS EVOLUTION, 2017, 3 (02)
  • [18] Cost of high-throughput sequencing (NGS) technologies: Literature review and insights
    Bayle, Arnaud
    Marino, Patricia
    Baffert, Sandrine
    Margier, Jennifer
    Bonastre, Julia
    BULLETIN DU CANCER, 2024, 111 (02) : 190 - 198
  • [19] The new technologies of high-throughput single-cell RNA sequencing
    Vodiasova, E. A.
    Chelebieva, E. S.
    Kuleshova, O. N.
    VAVILOVSKII ZHURNAL GENETIKI I SELEKTSII, 2019, 23 (05): : 508 - 518
  • [20] Recent Advances on Detection and Characterization of Fruit Tree Viruses Using High-Throughput Sequencing Technologies
    Maliogka, Varvara I.
    Minafra, Angelantonio
    Saldarelli, Pasquale
    Ruiz-Garcia, Ana B.
    Glasa, Miroslav
    Katis, Nikolaos
    Olmos, Antonio
    VIRUSES-BASEL, 2018, 10 (08):