Evidence map›Paper›PMID 36825672›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2023

Vasa, a regulator of localized mRNA translation on the spindle.

Paola Alejandra Sundaram Buitrago, Kavya Rao, Mamiko Yajima

Open access · bronzeAbstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2023. 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
0.6field-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

2 citing papers in PubMed, 4 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

3 authors at 1 institution in 1 country.

Paola Alejandra Sundaram BuitragoDepartment of Molecular Biology Cell Biology Biochemistry, Brown University, Providence, Rhode Island, USA.
Kavya RaoDepartment of Molecular Biology Cell Biology Biochemistry, Brown University, Providence, Rhode Island, USA.
Mamiko YajimaDepartment of Molecular Biology Cell Biology Biochemistry, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-5613-1005
Brown University · US

Funding

Localized mRNA translation on the spindle -an essential mechanism for embryonic cell regulationR01GM126043 · NIGMS · BROWN UNIVERSITY · PI YAJIMA, MAMIKO · 2018 to 2022
$2.0M
Functional contribution of Metabolism in embryonic developmentR21HD109132 · NICHD · BROWN UNIVERSITY · PI YAJIMA, MAMIKO · 2022 to 2023
$439k
NICHD NIH HHS R21 HD109132NIGMS NIH HHS R01 GM126043
6 · The paper itself

Abstract

Localized mRNA translation is a biological process that allows mRNA to be translated on-site, which is proposed to provide fine control in protein regulation, both spatially and temporally within a cell. We recently reported that Vasa, an RNA-helicase, is a promising factor that appears to regulate this process on the spindle during the embryonic development of the sea urchin, yet the detailed roles and functional mechanisms of Vasa in this process are still largely unknown. In this review article, to elucidate these remaining questions, we first summarize the prior knowledge and our recent findings in the area of Vasa research and further discuss how Vasa may function in localized mRNA translation, contributing to efficient protein regulation during rapid embryogenesis and cancer cell regulation.

Indexed as

Embryonic DevelopmentProtein BiosynthesisGene Expression Regulation, DevelopmentalRNA, MessengerRNA, Messengerasymmetric cell divisionDDX4embryonic cellslocalized translationsea urchinspindleVasa

Identifiers

PMID36825672
PMCPMC10023503
OpenAlexW4321749574

What OpenQuestion holds

Textmetadata
LicenceTDM
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.