Evidence map›Paper›PMID 27342569›Full record

ArticleBMC genomics2016

Extent of pre-translational regulation for the control of nucleocytoplasmic protein localization.

Mikael-Jonathan Luce, Anna Akuvi Akpawu, Daniel C Tucunduva, Spencer Mason, Michelle S Scott

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. The roles of cytosolic quality control proteins, SGTA and the BAG6 complex, in disease.Advances in protein chemistry and structural biology · 2019
    Review
  3. Structural basis for regulation of the nucleo-cytoplasmic distribution of Bag6 by TRC35.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

5 authors at 1 institution in 1 country.

Mikael-Jonathan LuceDepartment of Biochemistry and RNA group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, J1E 4 K8, Canada.
Anna Akuvi AkpawuDepartment of Biochemistry and RNA group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, J1E 4 K8, Canada.
Daniel C TucunduvaDepartment of Biochemistry and RNA group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, J1E 4 K8, Canada.
Spencer MasonDepartment of Biochemistry and RNA group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, J1E 4 K8, Canada.
Michelle S ScottDepartment of Biochemistry and RNA group, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Québec, J1E 4 K8, Canada. michelle.scott@usherbrooke.ca.
Université de Sherbrooke · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate protein subcellular localization is essential for proper cellular function. Central to the regulation of protein localization are protein targeting motifs, stretches of amino acids serving as guides for protein entry in a specific cellular compartment. While the use of protein targeting motifs is modulated in a post-translational manner, mainly by protein conformational changes and post-translational modifications, the presence of these motifs in proteins can also be regulated in a pre-translational manner. Here, we investigate the extent of pre-translational regulation of the main signals controlling nucleo-cytoplasmic traffic: the nuclear localization signal (NLS) and the nuclear export signal (NES).

resultsMotif databases and manual curation of the literature allowed the identification of 175 experimentally validated NLSs and 120 experimentally validated NESs in human. Following mapping onto annotated transcripts, these motifs were found to be modular, most (73 % for NLS and 88 % for NES) being encoded entirely in only one exon. The presence of a majority of these motifs is regulated in an alternative manner at the transcript level (61 % for NLS and 72 % for NES) while the remaining motifs are present in all coding isoforms of their encoding gene. NLSs and NESs are pre-translationally regulated using four main mechanisms: alternative transcription/translation initiation, alternative translation termination, alternative splicing of the exon encoding the motif and frameshift, the first two being by far the most prevalent mechanisms. Quantitative analysis of the presence of these motifs using RNA-seq data indicates that inclusion of these motifs can be regulated in a tissue-specific and a combinatorial manner, can be altered in disease states in a directed way and that alternative inclusion of these motifs is often used by proteins with diverse interactors and roles in diverse pathways, such as kinases.

conclusionsThe pre-translational regulation of the inclusion of protein targeting motifs is a prominent and tightly-regulated mechanism that adds another layer in the control of protein subcellular localization.

Indexed as

Alternative SplicingAmino Acid MotifsAnimalsCell NucleusCytoplasmDatabases, GeneticGene Expression RegulationHumansNuclear Export SignalsNuclear Localization SignalsProtein IsoformsProteinsProtein TransportSequence Analysis, RNANuclear Export SignalsNuclear Localization SignalsProtein IsoformsProteinsAlternative splicingNuclear export sequenceNuclear localization signalPre-translational regulationProtein subcellular localizationProtein targeting motifsRNA-seqTissue-specific regulation

Identifiers

PMID27342569
PMCPMC4919871
OpenAlexW2468890608

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.