首页 | 本学科首页   官方微博 | 高级检索  
     


Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples
Authors:Christian B Matranga  Kristian G Andersen  Sarah Winnicki  Michele Busby  Adrianne D Gladden  Ryan Tewhey  Matthew Stremlau  Aaron Berlin  Stephen K Gire  Eleina England  Lina M Moses  Tarjei S Mikkelsen  Ikponmwonsa Odia  Philomena E Ehiane  Onikepe Folarin  Augustine Goba  S Humarr Kahn  Donald S Grant  Anna Honko  Lisa Hensley  Christian Happi  Robert F Garry  Christine M Malboeuf  Bruce W Birren  Andreas Gnirke  Joshua Z Levin  Pardis C Sabeti
Abstract:We have developed a robust RNA sequencing method for generating complete de novo assemblies with intra-host variant calls of Lassa and Ebola virus genomes in clinical and biological samples. Our method uses targeted RNase H-based digestion to remove contaminating poly(rA) carrier and ribosomal RNA. This depletion step improves both the quality of data and quantity of informative reads in unbiased total RNA sequencing libraries. We have also developed a hybrid-selection protocol to further enrich the viral content of sequencing libraries. These protocols have enabled rapid deep sequencing of both Lassa and Ebola virus and are broadly applicable to other viral genomics studies.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-014-0519-7) contains supplementary material, which is available to authorized users.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号