Characterization of the Dynamic Transcriptome of a Herpesvirus with Long-read Single Molecule Real-Time Sequencing

Herpesvirus gene expression is co-ordinately regulated and sequentially ordered during productive infection. The viral genes can be classified into three distinct kinetic groups: immediate-early, early, and late classes. In this study, a massively parallel sequencing technique that is based on PacBi...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Tombácz Dóra
Balázs Zsolt
Csabai Zsolt
Moldován Norbert
Szűcs Attila
Sharon Donald
Snyder Michael
Boldogkői Zsolt
Dokumentumtípus: Cikk
Megjelent: 2017
Sorozat:SCIENTIFIC REPORTS 7
Tárgyszavak:
doi:10.1038/srep43751

mtmt:3180311
Online Access:http://publicatio.bibl.u-szeged.hu/29086
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245 1 0 |a Characterization of the Dynamic Transcriptome of a Herpesvirus with Long-read Single Molecule Real-Time Sequencing  |h [elektronikus dokumentum] /  |c  Tombácz Dóra 
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520 3 |a Herpesvirus gene expression is co-ordinately regulated and sequentially ordered during productive infection. The viral genes can be classified into three distinct kinetic groups: immediate-early, early, and late classes. In this study, a massively parallel sequencing technique that is based on PacBio Single Molecule Real-time sequencing platform, was used for quantifying the poly(A) fraction of the lytic transcriptome of pseudorabies virus (PRV) throughout a 12- hour interval of productive infection on PK-15 cells. Other approaches, including microarray, real-time RT-PCR and Illumina sequencing are capable of detecting only the aggregate transcriptional activity of particular genomic regions, but not individual herpesvirus transcripts. However, SMRT sequencing allows for a distinction between transcript isoforms, including length- and splice variants, as well as between overlapping polycistronic RNA molecules. The non-amplified Isoform Sequencing (Iso-Seq) method was used to analyse the kinetic properties of the lytic PRV transcripts and to then classify them accordingly. Additionally, the present study demonstrates the general utility of long-read sequencing for the time-course analysis of global gene expression in practically any organism. 
650 4 |a Általános orvostudomány 
700 0 1 |a Balázs Zsolt  |e aut 
700 0 1 |a Csabai Zsolt  |e aut 
700 0 1 |a Moldován Norbert  |e aut 
700 0 1 |a Szűcs Attila  |e aut 
700 0 1 |a Sharon Donald  |e aut 
700 0 1 |a Snyder Michael  |e aut 
700 0 1 |a Boldogkői Zsolt  |e aut 
856 4 0 |u http://publicatio.bibl.u-szeged.hu/29086/1/srep43751.pdf  |z Dokumentum-elérés