Evidence map›Paper›PMID 33847814›Full record

ArticleArchives of virology2021

Identification of differentially expressed miRNAs in human cells infected with different Zika virus strains.

Francielly Cristina Machado, Cíntia Bittar, Paula Rahal, Marilia Freitas Calmon

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Archives of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Francielly Cristina MachadoDepartment of Biology, IBILCE, Institute of Biosciences, Humanities and Exact Sciences, UNESP, São Paulo State University, Rua Cristóvão Colombo, 2265, Bairro Jardim Nazareth, São José do Rio Preto, SP, 15054-010, Brazil.
Cíntia BittarDepartment of Biology, IBILCE, Institute of Biosciences, Humanities and Exact Sciences, UNESP, São Paulo State University, Rua Cristóvão Colombo, 2265, Bairro Jardim Nazareth, São José do Rio Preto, SP, 15054-010, Brazil.
Paula RahalDepartment of Biology, IBILCE, Institute of Biosciences, Humanities and Exact Sciences, UNESP, São Paulo State University, Rua Cristóvão Colombo, 2265, Bairro Jardim Nazareth, São José do Rio Preto, SP, 15054-010, Brazil.
Marilia Freitas CalmonDepartment of Biology, IBILCE, Institute of Biosciences, Humanities and Exact Sciences, UNESP, São Paulo State University, Rua Cristóvão Colombo, 2265, Bairro Jardim Nazareth, São José do Rio Preto, SP, 15054-010, Brazil. macal131@gmail.com.ORCID http://orcid.org/0000-0001-5203-0103
Universidade Estadual Paulista (Unesp) · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 440723/2016-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/22198-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/16660-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/09197-2
6 · The paper itself

Abstract

Infection with distinct Zika virus (ZIKV) strains in in vitro and in vivo models has demonstrated that the host's response to infection is strain-dependent. There has been no analysis of the impact of infection with different ZIKV strains on miRNA expression in human cells. We investigated miRNA expression in PNT1A cells upon infection with an African ZIKV strain (MR766) and a Brazilian ZIKV strain (ZIKV

Indexed as

AnimalsChlorocebus aethiopsEpithelial CellsGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsVero CellsZika VirusMicroRNAs

Identifiers

PMID33847814
OpenAlexW3154916542

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.