Title
Using Small RNA Deep Sequencing Data to Detect Human Viruses
Date Issued
01 January 2016
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
Hindawi Limited
Abstract
Small RNA sequencing (sRNA-seq) can be used to detect viruses in infected hosts without the necessity to have any prior knowledge or specialized sample preparation. The sRNA-seq method was initially used for viral detection and identification in plants and then in invertebrates and fungi. However, it is still controversial to use sRNA-seq in the detection of mammalian or human viruses. In this study, we used 931 sRNA-seq runs of data from the NCBI SRA database to detect and identify viruses in human cells or tissues, particularly from some clinical samples. Six viruses including HPV-18, HBV, HCV, HIV-1, SMRV, and EBV were detected from 36 runs of data. Four viruses were consistent with the annotations from the previous studies. HIV-1 was found in clinical samples without the HIV-positive reports, and SMRV was found in Diffuse Large B-Cell Lymphoma cells for the first time. In conclusion, these results suggest the sRNA-seq can be used to detect viruses in mammals and humans.
Volume
2016
Language
English
OCDE Knowledge area
Genética humana
Scopus EID
2-s2.0-84962787550
PubMed ID
Source
BioMed Research International
ISSN of the container
23146133
Sponsor(s)
The authors appreciate the help equally from the people listed below. They are Associate Professor Jijun Tang from the Department of Computer Science and Engineering, University of South Carolina, Associate Professor Xiujun Gong from the College of Computer Science and Tech, Tianjin University, and Professor Wenjun Bu from the College of Life Sciences, Nankai University. The data analysis in this study was supported by the National Scientific Data Sharing Platform for Population and Health Translational Cancer Medicine Specials. This work was supported partly by the National Natural Science Foundation of China (81541153), Guangdong Provincial Research Project of Science and Technology (2015A050502048 and 2014A020212295), and Science and Technology Research Project in Dongguan City (2013508152011 and 2013508152002)
Sources of information:
Directorio de Producción Científica
Scopus