Evidence map›Paper›PMID 38064036›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Reverse Genetics of Dengue Virus.

José Valter Joaquim Silva Júnior, Andréa Nazaré Monteiro Rangel da Silva, Jefferson José da Silva Santos, Laura Helena Vega Gonzales Gil

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 2 countries.

José Valter Joaquim Silva JúniorVirology Sector, Department of Preventive Veterinary Medicine, Federal University of Santa Maria, Santa Maria, RS, Brazil.
Andréa Nazaré Monteiro Rangel da SilvaVirology Laboratory, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil.
Jefferson José da Silva SantosDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Laura Helena Vega Gonzales GilLaboratory of Virology and Experimental Therapy, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, PE, Brazil. laura.gil@fiocruz.br.
Fundação Oswaldo Cruz · BRUniversidade Federal de Santa Maria · BRUniversidade Federal do Pará · BRUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) is one of the most important and widespread arthropod-borne viruses, causing millions of infections over the years. Considering its epidemiological importance, efforts have been directed towards understanding various aspects of DENV biology, which have been facilitated by the development of different molecular strategies for engineering viral genomes, such as reverse genetics approaches. Reverse genetic systems are a powerful tool for investigating virus-host interaction, for vaccine development, and for high-throughput screening of antiviral compounds. However, stable manipulation of DENV genomes is a major molecular challenge, especially when using conventional cloning systems. To circumvent this issue, we describe a simple and efficient yeast-based reverse genetics system to recover infectious DENV clones.

Indexed as

DengueDengue VirusGenome, ViralHigh-Throughput Screening AssaysHumansReverse GeneticsVirus ReplicationDengueHomologous recombinationInfectious cloneReverse geneticsShuttle vectorYeast

Identifiers

PMID38064036
OpenAlexW4389483717

What OpenQuestion holds

Textmetadata
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.