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Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool

We conducted an unbiased metagenomics survey using plasma from patients with chronic hepatitis B, chronic hepatitis C, autoimmune hepatitis (AIH), non-alcoholic steatohepatitis (NASH), and patients without liver disease (control). RNA and DNA libraries were sequenced from plasma filtrates enriched i...

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Detalles Bibliográficos
Autores principales: Law, John, Jovel, Juan, Patterson, Jordan, Ford, Glenn, O’keefe, Sandra, Wang, Weiwei, Meng, Bo, Song, Deyong, Zhang, Yong, Tian, Zhijian, Wasilenko, Shawn T., Rahbari, Mandana, Mitchell, Troy, Jordan, Tracy, Carpenter, Eric, Mason, Andrew L., Wong, Gane Ka-Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629200/
https://www.ncbi.nlm.nih.gov/pubmed/23613733
http://dx.doi.org/10.1371/journal.pone.0060595
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author Law, John
Jovel, Juan
Patterson, Jordan
Ford, Glenn
O’keefe, Sandra
Wang, Weiwei
Meng, Bo
Song, Deyong
Zhang, Yong
Tian, Zhijian
Wasilenko, Shawn T.
Rahbari, Mandana
Mitchell, Troy
Jordan, Tracy
Carpenter, Eric
Mason, Andrew L.
Wong, Gane Ka-Shu
author_facet Law, John
Jovel, Juan
Patterson, Jordan
Ford, Glenn
O’keefe, Sandra
Wang, Weiwei
Meng, Bo
Song, Deyong
Zhang, Yong
Tian, Zhijian
Wasilenko, Shawn T.
Rahbari, Mandana
Mitchell, Troy
Jordan, Tracy
Carpenter, Eric
Mason, Andrew L.
Wong, Gane Ka-Shu
author_sort Law, John
collection PubMed
description We conducted an unbiased metagenomics survey using plasma from patients with chronic hepatitis B, chronic hepatitis C, autoimmune hepatitis (AIH), non-alcoholic steatohepatitis (NASH), and patients without liver disease (control). RNA and DNA libraries were sequenced from plasma filtrates enriched in viral particles to catalog virus populations. Hepatitis viruses were readily detected at high coverage in patients with chronic viral hepatitis B and C, but only a limited number of sequences resembling other viruses were found. The exception was a library from a patient diagnosed with hepatitis C virus (HCV) infection that contained multiple sequences matching GB virus C (GBV-C). Abundant GBV-C reads were also found in plasma from patients with AIH, whereas Torque teno virus (TTV) was found at high frequency in samples from patients with AIH and NASH. After taxonomic classification of sequences by BLASTn, a substantial fraction in each library, ranging from 35% to 76%, remained unclassified. These unknown sequences were assembled into scaffolds along with virus, phage and endogenous retrovirus sequences and then analyzed by BLASTx against the non-redundant protein database. Nearly the full genome of a heretofore-unknown circovirus was assembled and many scaffolds that encoded proteins with similarity to plant, insect and mammalian viruses. The presence of this novel circovirus was confirmed by PCR. BLASTx also identified many polypeptides resembling nucleo-cytoplasmic large DNA viruses (NCLDV) proteins. We re-evaluated these alignments with a profile hidden Markov method, HHblits, and observed inconsistencies in the target proteins reported by the different algorithms. This suggests that sequence alignments are insufficient to identify NCLDV proteins, especially when these alignments are only to small portions of the target protein. Nevertheless, we have now established a reliable protocol for the identification of viruses in plasma that can also be adapted to other patient samples such as urine, bile, saliva and other body fluids.
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spelling pubmed-36292002013-04-23 Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool Law, John Jovel, Juan Patterson, Jordan Ford, Glenn O’keefe, Sandra Wang, Weiwei Meng, Bo Song, Deyong Zhang, Yong Tian, Zhijian Wasilenko, Shawn T. Rahbari, Mandana Mitchell, Troy Jordan, Tracy Carpenter, Eric Mason, Andrew L. Wong, Gane Ka-Shu PLoS One Research Article We conducted an unbiased metagenomics survey using plasma from patients with chronic hepatitis B, chronic hepatitis C, autoimmune hepatitis (AIH), non-alcoholic steatohepatitis (NASH), and patients without liver disease (control). RNA and DNA libraries were sequenced from plasma filtrates enriched in viral particles to catalog virus populations. Hepatitis viruses were readily detected at high coverage in patients with chronic viral hepatitis B and C, but only a limited number of sequences resembling other viruses were found. The exception was a library from a patient diagnosed with hepatitis C virus (HCV) infection that contained multiple sequences matching GB virus C (GBV-C). Abundant GBV-C reads were also found in plasma from patients with AIH, whereas Torque teno virus (TTV) was found at high frequency in samples from patients with AIH and NASH. After taxonomic classification of sequences by BLASTn, a substantial fraction in each library, ranging from 35% to 76%, remained unclassified. These unknown sequences were assembled into scaffolds along with virus, phage and endogenous retrovirus sequences and then analyzed by BLASTx against the non-redundant protein database. Nearly the full genome of a heretofore-unknown circovirus was assembled and many scaffolds that encoded proteins with similarity to plant, insect and mammalian viruses. The presence of this novel circovirus was confirmed by PCR. BLASTx also identified many polypeptides resembling nucleo-cytoplasmic large DNA viruses (NCLDV) proteins. We re-evaluated these alignments with a profile hidden Markov method, HHblits, and observed inconsistencies in the target proteins reported by the different algorithms. This suggests that sequence alignments are insufficient to identify NCLDV proteins, especially when these alignments are only to small portions of the target protein. Nevertheless, we have now established a reliable protocol for the identification of viruses in plasma that can also be adapted to other patient samples such as urine, bile, saliva and other body fluids. Public Library of Science 2013-04-17 /pmc/articles/PMC3629200/ /pubmed/23613733 http://dx.doi.org/10.1371/journal.pone.0060595 Text en © 2013 Law et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Law, John
Jovel, Juan
Patterson, Jordan
Ford, Glenn
O’keefe, Sandra
Wang, Weiwei
Meng, Bo
Song, Deyong
Zhang, Yong
Tian, Zhijian
Wasilenko, Shawn T.
Rahbari, Mandana
Mitchell, Troy
Jordan, Tracy
Carpenter, Eric
Mason, Andrew L.
Wong, Gane Ka-Shu
Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title_full Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title_fullStr Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title_full_unstemmed Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title_short Identification of Hepatotropic Viruses from Plasma Using Deep Sequencing: A Next Generation Diagnostic Tool
title_sort identification of hepatotropic viruses from plasma using deep sequencing: a next generation diagnostic tool
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629200/
https://www.ncbi.nlm.nih.gov/pubmed/23613733
http://dx.doi.org/10.1371/journal.pone.0060595
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