Evidence map›Paper›PMID 30512018›Full record

ArticleScientific data2018

Transcriptome-wide analysis of a baculovirus using nanopore sequencing.

Zsolt Boldogkői, Norbert Moldován, Attila Szűcs, Dóra Tombácz

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  9. The how and why of lncRNA function: An innate immune perspective.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
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

4 authors at 1 institution in 1 country.

Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.ORCID 0000-0003-4138-586X
Attila SzűcsDepartment 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.ORCID 0000-0001-5520-2978
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins. Here, we present a dataset, derived from Oxford Nanopore Technologies (ONT) long-read sequencing platform. We used both cDNA and direct RNA sequencing techniques. The dataset contains 520,310 AcMNPV and 1,309,481 host cell reads using the regular cDNA-sequencing method of ONT technique, whereas altogether 6,456 reads were produced by using direct RNA-sequencing. We also used a Cap-selection protocol for certain ONT samples, and obtained 2,568,669 reads by using this method. The raw reads were aligned to the AcMNPV reference genome (KM667940.1). Here, we openly released the 'static' and the dynamic transcript catalogue of AcMNPV. This dataset can be used for deep analyses of the transcriptomic and epitranscriptomic patterns of the AcMNPV and the host cell. The data can be also useful for the validation of different bioinformatics software packages and analysis tools.

Indexed as

Gene Expression ProfilingGenome, ViralNucleopolyhedrovirusesSequence Analysis, DNASequence Analysis, RNA

Identifiers

PMID30512018
PMCPMC6278695
OpenAlexW2902725523

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.