Evidence map›Paper›PMID 30765700›Full record

ArticleNature communications2019

Direct RNA sequencing on nanopore arrays redefines the transcriptional complexity of a viral pathogen.

Daniel P Depledge, Kalanghad Puthankalam Srinivas, Tomohiko Sadaoka, Devin Bready, Yasuko Mori, Dimitris G Placantonakis, Ian Mohr, Angus C Wilson

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 1 pooled it
24.6field-weighted citation impact, top 1% 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

148 citing papers in PubMed, 1 synthesis or guideline pooled it, 241 citations in OpenAlex.

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88 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Daniel P DepledgeDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA. daniel.depledge@nyulangone.org.ORCID http://orcid.org/0000-0002-4292-0599
Kalanghad Puthankalam SrinivasDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0002-8328-5173
Tomohiko SadaokaDivision of Clinical Virology, Center for Infectious Diseases, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.ORCID http://orcid.org/0000-0001-7951-6904
Devin BreadyDepartment of Neurosurgery, New York University School of Medicine, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0003-3557-2888
Yasuko MoriDivision of Clinical Virology, Center for Infectious Diseases, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.ORCID http://orcid.org/0000-0002-6595-8522
Dimitris G PlacantonakisDepartment of Neurosurgery, New York University School of Medicine, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0003-1950-2978
Ian MohrDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA.
Angus C WilsonDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA. angus.wilson@nyulangone.org.ORCID http://orcid.org/0000-0002-5016-4164
New York University · USKobe University · JPNew York Stem Cell Foundation · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL, HOCHMAN, JUDITH S · 2012 to 2014
$16.8M
Control of Translation in Herpesvirus Infected Cells - Resubmission - 1R01GM056927 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ian J Mohr · 1999 to 2026
$7.6M
Virus Host Interactions that Regulate Translation in Cells Infected with HSV-1R01AI073898 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MOHR, IAN J · 2008 to 2020
$5.0M
Modeling herpes simplex virus latency in human neuronsR21AI130618 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WILSON, ANGUS C · 2018 to 2019
$466k
NCATS NIH HHS UL1 TR000038NCI NIH HHS P30 CA016087NIAID NIH HHS R01 AI073898NIAID NIH HHS R21 AI130618NIGMS NIH HHS R01 GM056927
6 · The paper itself

Abstract

Characterizing complex viral transcriptomes by conventional RNA sequencing approaches is complicated by high gene density, overlapping reading frames, and complex splicing patterns. Direct RNA sequencing (direct RNA-seq) using nanopore arrays offers an exciting alternative whereby individual polyadenylated RNAs are sequenced directly, without the recoding and amplification biases inherent to other sequencing methodologies. Here we use direct RNA-seq to profile the herpes simplex virus type 1 (HSV-1) transcriptome during productive infection of primary cells. We show how direct RNA-seq data can be used to define transcription initiation and RNA cleavage sites associated with all polyadenylated viral RNAs and demonstrate that low level read-through transcription produces a novel class of chimeric HSV-1 transcripts, including a functional mRNA encoding a fusion of the viral E3 ubiquitin ligase ICP0 and viral membrane glycoprotein L. Thus, direct RNA-seq offers a powerful method to characterize the changing transcriptional landscape of viruses with complex genomes.

Indexed as

NanoporesCell LineCells, CulturedEpithelial CellsFibroblastsGenes, ViralGenome, ViralHerpesvirus 1, HumanHost-Pathogen InteractionsHumansNeuronsRNA, ViralSequence Analysis, RNATranscriptomeViral ProteinsRNA, ViralViral Proteins

Identifiers

PMID30765700
PMCPMC6376126
OpenAlexW2952628721

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.