Evidence map›Paper›PMID 31776271›Full record

ArticleJournal of virology2020

Identification and Characterization of the Nucleolar Localization Signal of Autographa californica Multiple Nucleopolyhedrovirus LEF5.

Guoqing Chen, Qing Yan, Haoran Wang, Shufen Chao, Lijuan Wu, Peter J Krell, Guozhong Feng

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Identification of the nucleolar localization signal inThe Journal of general virology · 2026
    Article
  2. Article
  3. Article
  4. Analysis ofFrontiers in insect science · 2022
    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 2 institutions in 2 countries.

Guoqing ChenState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Qing YanState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Haoran WangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Shufen ChaoState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Lijuan WuState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Peter J KrellDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-1149-5382
Guozhong FengState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China fengguozhong@caas.cn.
China National Rice Research Institute · CNUniversity of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autographa californica multiple nucleopolyhedrovirus (AcMNPV) late expression factor 5 (LEF5) is highly conserved in all sequenced baculovirus genomes and plays an important role in production of infectious viral progeny. In this study, nucleolar localization of AcMNPV LEF5 was characterized. Through transcriptome analysis, we identified two putative nucleolar proteins,

Indexed as

Amino Acid SequenceAnimalsBaculoviridaeCell LineCell NucleolusChromosomal Proteins, Non-HistoneDNA ReplicationDNA, ViralNuclear ProteinsNucleopolyhedrovirusesSf9 CellsSpodopteraViral ProteinsVirus ReplicationChromosomal Proteins, Non-HistoneDNA, ViralfibrillarinNuclear ProteinsViral Proteinsbaculoviruslate expression factor 5nucleolar localizationnucleolar protein

Identifiers

PMID31776271
PMCPMC6997756
OpenAlexW2991481733

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.