Evidence map›Paper›PMID 34073836›Full record

ArticleCancers2021

Genetic Patterns Found in the Nuclear Localization Signals (NLSs) Associated with EBV-1 and EBV-2 Provide New Insights into Their Contribution to Different Cell-Type Specificities.

Louise Zanella, María Elena Reyes, Ismael Riquelme, Michel Abanto, Daniela León, Tamara Viscarra, Carmen Ili, Priscilla Brebi

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

8 authors at 2 institutions in 1 country.

Louise ZanellaLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.ORCID 0000-0001-8891-6002
María Elena ReyesLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.
Ismael RiquelmeInstituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Temuco 4810101, Chile.ORCID 0000-0002-9545-3971
Michel AbantoScientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile.ORCID 0000-0001-9136-0041
Daniela LeónLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.
Tamara ViscarraLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.ORCID 0000-0001-7029-9747
Carmen IliLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.ORCID 0000-0002-4009-4406
Priscilla BrebiLaboratory of Integrative Biology (LIBi), Scientific and Technological Bioresource Nucleus-Center for Excellence in Translational Medicine (BIOREN-CEMT), Universidad de La Frontera, Temuco 4810296, Chile.
Universidad de La Frontera · CLUniversidad Autónoma de Chile · CL

Funding

Comisión Nacional de Investigación Científica y Tecnológica 21201835Fondo Nacional de Desarrollo Científico y Tecnológico 11150622Fondo Nacional de Desarrollo Científico y Tecnológico 1210440Fondo Nacional de Desarrollo Científico y Tecnológico 3170826Fondo Nacional de Desarrollo Científico y Tecnológico 3210604Fondo Nacional de Desarrollo Científico y Tecnológico 3210618Fondo Nacional de Desarrollo Científico y Tecnológico 3210687Universidad Autonoma de Chile DIUA 226-2021Universidad de La Frontera DI20-0128Universidad de La Frontera DI20-0160Universidad de La Frontera DIM20-0019Universidad de La Frontera VRIP20P002
6 · The paper itself

Abstract

The Epstein-Barr virus (EBV) is a globally dispersed pathogen involved in several human cancers of B-cell and non-B-cell origin. EBV has been classified into EBV-1 and EBV-2, which have differences in their transformative ability. EBV-1 can transform B-cells into LCL more efficiently than EBV-2, and EBV-2 preferentially infects T-cell lymphocytes. The EBNA3A oncoprotein is a transcriptional regulator of virus and host cell genes, and is required in order to transform B-cells. EBNA3A has six peptide motifs called nuclear localization signals (NLSs) that ensure nucleocytoplasmic protein trafficking. The presence of multiple NLSs has been suggested to enhance EBNA3 function or different specificities in different cell types. However, studies about the NLS variability associated with EBV types are scarce. Based on a systematic sequence analysis considering more than a thousand EBNA3A sequences of EBV from different human clinical manifestations and geographic locations, we found differences in NLSs' nucleotide structures among EBV types. Compared with the EBNA3A EBV-1, EBNA3A EBV-2 has two of the six NLSs altered, and these mutations were possibly acquired by recombination. These genetic patterns in the NLSs associated with EBV-1 and EBV-2 provide new information about the traits of EBNA3A in EBV biology.

Indexed as

EBV classificationEBV nuclear antigen EBNA 3A (EBNA3A)Epstein–Barr virus (EBV)nuclear localization signal (NLS)phylogenyrecombination

Identifiers

PMID34073836
PMCPMC8197229
OpenAlexW3164451889

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.