Evidence map›Paper›PMID 32796917›Full record

ArticleScientific reports2020

Long-read assays shed new light on the transcriptome complexity of a viral pathogen.

Dóra Tombácz, István Prazsák, Zsolt Csabai, Norbert Moldován, Béla Dénes, Michael Snyder, Zsolt Boldogkői

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

7 authors at 3 institutions in 2 countries.

Dóra Tombácz *Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
István Prazsák *Department 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.
Norbert MoldovánDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.
Béla DénesVeterinary Diagnostic Directorate of the National Food Chain Safety Office, Budapest, 1143, Hungary.
Michael SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Zsolt BoldogkőiDepartment of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary. boldogkoi.zsolt@med.u-szeged.hu.
University of Szeged · HUNational Food Chain Safety Office · HUStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of global transcriptomes using conventional short-read sequencing is challenging due to the insensitivity of these platforms to transcripts isoforms, multigenic RNA molecules, and transcriptional overlaps. Long-read sequencing (LRS) can overcome these limitations by reading full-length transcripts. Employment of these technologies has led to the redefinition of transcriptional complexities in reported organisms. In this study, we applied LRS platforms from Pacific Biosciences and Oxford Nanopore Technologies to profile the vaccinia virus (VACV) transcriptome. We performed cDNA and direct RNA sequencing analyses and revealed an extremely complex transcriptional landscape of this virus. In particular, VACV genes produce large numbers of transcript isoforms that vary in their start and termination sites. A significant fraction of VACV transcripts start or end within coding regions of neighbouring genes. This study provides new insights into the transcriptomic profile of this viral pathogen.

Indexed as

Genes, ViralTranscription, GeneticTranscriptomeVaccinia virus

Identifiers

PMID32796917
PMCPMC7427789
OpenAlexW3049144686

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.