Evidence map›Paper›PMID 20951026›Full record

ReviewCurrent opinion in structural biology2010

Recognition of nuclear targeting signals by Karyopherin-β proteins.

Darui Xu, Alicia Farmer, Yuh Min Chook

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

123 citing papers in PubMed, 201 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Multiple types of nuclear localization signals inBiochemistry and biophysics reports · 2024
    Article
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  7. Article
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  14. Review
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63 more citing papers are in PubMed but not listed here.

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.

Darui XuDepartment of Pharmacology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390-9041, USA.
Alicia Farmer
Yuh Min Chook
The University of Texas Southwestern Medical Center · US

Funding

MECHANISMS OF DRUG ACTION AND DISPOSITIONT32GM007062 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI MANGELSDORF, DAVID J · 1985 to 2020
$7.4M
Structures and Mechanisms of Nuclear Import and ExportR01GM069909 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI CHOOK, YUH MIN · 2004 to 2020
$5.8M
NIGMS NIH HHS GM007062NIGMS NIH HHS R01 GM069909NIGMS NIH HHS R01-GM069909NIGMS NIH HHS T32 GM007062
6 · The paper itself

Abstract

The Karyopherin-β family of nuclear transport factors mediates the majority of nucleocytoplasmic transport. Although each of the 19 Karyopherin-βs transports unique sets of cargos, only three classes of nuclear localization and export signals, or NLSs and NESs, have been characterized. The short basic classical-NLS was first discovered in the 1980s and their karyopherin-bound structures were first reported more than 10 years ago. More recently, structural and biophysical studies of Karyopherin-β2-cargo complexes led to definition of the complex and diverse PY-NLS. Structural knowledge of the leucine-rich NES is finally available more than 10 years after the discovery of its recognition by the exportin CRM1. We review recent findings relating to how these three classes of nuclear targeting signals are recognized by their Karyopherin-β nuclear transport factors.

Indexed as

Nuclear Export SignalsAmino Acid MotifsAmino Acid SequenceAnimalsbeta KaryopherinsCell NucleusConsensus SequenceHumansMolecular Sequence DataProtein Bindingbeta KaryopherinsNuclear Export Signals

Identifiers

PMID20951026
PMCPMC2994982
OpenAlexW2095827716

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.