Evidence map›Paper›PMID 34262076›Full record

ArticleScientific reports2021

Combined nanopore and single-molecule real-time sequencing survey of human betaherpesvirus 5 transcriptome.

Balázs Kakuk, Dóra Tombácz, Zsolt Balázs, Norbert Moldován, Zsolt Csabai, Gábor Torma, Klára Megyeri, Michael Snyder, Zsolt Boldogkői

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Balázs Kakuk *Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Dóra Tombácz *Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Zsolt BalázsDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Zsolt CsabaiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Gábor TormaDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
Klára MegyeriDepartment of Medical Microbiology and Immunobiology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, 300 Pasteur Dr, Stanford, CA, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary. boldogkoi.zsolt@med.u-szeged.hu.
University of Szeged · HUStanford University · US

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS RM1 HG007735NIH Centers of Excellence in Genomic Science Center for Personal Dynamic Regulomes 5P50HG00773502
6 · The paper itself

Abstract

Long-read sequencing (LRS), a powerful novel approach, is able to read full-length transcripts and confers a major advantage over the earlier gold standard short-read sequencing in the efficiency of identifying for example polycistronic transcripts and transcript isoforms, including transcript length- and splice variants. In this work, we profile the human cytomegalovirus transcriptome using two third-generation LRS platforms: the Sequel from Pacific BioSciences, and MinION from Oxford Nanopore Technologies. We carried out both cDNA and direct RNA sequencing, and applied the LoRTIA software, developed in our laboratory, for the transcript annotations. This study identified a large number of novel transcript variants, including splice isoforms and transcript start and end site isoforms, as well as putative mRNAs with truncated in-frame ORFs (located within the larger ORFs of the canonical mRNAs), which potentially encode N-terminally truncated polypeptides. Our work also disclosed a highly complex meshwork of transcriptional read-throughs and overlaps.

Indexed as

CytomegalovirusDNA, ComplementaryGenes, ViralHigh-Throughput Nucleotide SequencingHumansOpen Reading FramesRNA, MessengerSequence Analysis, RNASoftwareDNA, ComplementaryRNA, Messenger

Identifiers

PMID34262076
PMCPMC8280142
OpenAlexW3144823900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.