Evidence map›Paper›PMID 29167532›Full record

ArticleScientific reports2017

Long-Read Sequencing of Human Cytomegalovirus Transcriptome Reveals RNA Isoforms Carrying Distinct Coding Potentials.

Zsolt Balázs, Dóra Tombácz, Attila Szűcs, Zsolt Csabai, Klára Megyeri, Alexey N Petrov, Michael Snyder, Zsolt Boldogkői

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Dóra TombáczDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Attila SzűcsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Klára MegyeriDepartment of Medical Microbiology and Immunobiology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Alexey N PetrovDepartment of Structural Biology, School of Medicine, Stanford University, Stanford, California, 94305, USA.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, California, 94305, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary. boldogkoi.zsolt@med.u-szeged.hu.

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
NHGRI NIH HHS P50 HG007735
6 · The paper itself

Abstract

The human cytomegalovirus (HCMV) is a ubiquitous, human pathogenic herpesvirus. The complete viral genome is transcriptionally active during infection; however, a large part of its transcriptome has yet to be annotated. In this work, we applied the amplified isoform sequencing technique from Pacific Biosciences to characterize the lytic transcriptome of HCMV strain Towne varS. We developed a pipeline for transcript annotation using long-read sequencing data. We identified 248 transcriptional start sites, 116 transcriptional termination sites and 80 splicing events. Using this information, we have annotated 291 previously undescribed or only partially annotated transcript isoforms, including eight novel antisense transcripts and their isoforms, as well as a novel transcript (RS2) in the short repeat region, partially antisense to RS1. Similarly to other organisms, we discovered a high transcriptional diversity in HCMV, with many transcripts only slightly differing from one another. Comparing our transcriptome profiling results to an earlier ribosome footprint analysis, we have concluded that the majority of the transcripts contain multiple translationally active ORFs, and also that most isoforms contain unique combinations of ORFs. Based on these results, we propose that one important function of this transcriptional diversity may be to provide a regulatory mechanism at the level of translation.

Indexed as

CytomegalovirusGene Expression ProfilingHumansRNA IsoformsSequence Analysis, RNARNA Isoforms

Identifiers

PMID29167532
PMCPMC5700075

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.