Evidence map›Paper›PMID 12423067›Full record

ArticleAAPS pharmSci2002

Model system to study classical nuclear export signals.

Charu Kanwal, Henan Li, Carol S Lim

Open access · bronzeAbstract read
In one paragraph

Article in AAPS pharmSci, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Optimizing the protein switch: altering nuclear import and export signals, and ligand binding domain.Journal of controlled release : official journal of the Controlled Release Society · 2007
    Article
  13. Review
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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.

Charu KanwalDepartment of Pharmaceutics and Pharmaceutical Chemistry, University of Utah, 421 Wakara Way #318, Salt Lake City, UT 84108, USA.
Henan Li
Carol S Lim
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signal-mediated protein transport through the nuclear pore complex is of considerable interest in the field of molecular pharmaceutics. Nuclear localization signals can be used to target genes/antisense delivery systems to the nucleus. Studying nuclear export is useful in enhancing the expression and the efficiency of action of these therapeutic agents. The mechanism of nuclear import has been well studied and most of the proteins participating in this mechanism have been identified. The subject of nuclear export is still in the initial stages, and there is a considerable amount of uncertainty in this area. Two main export receptors identified so far are Exportin 1 (Crm1) and Calreticulin. Crm1 recognizes certain leucine-rich amino acid sequences in the proteins it exports called classical nuclear export signals. This paper describes a model system to study, identify, and establish these classical nuclear export signals using green fluorescent protein (GFP). Two putative export signals in the human progesterone receptor (PR) and the strongest nuclear export signal known (from mitogen activated protein kinase kinase [MAPKK]) were studied using this model system.

Indexed as

Receptors, Cytoplasmic and NuclearActive Transport, Cell NucleusAnimalsCalreticulinCell NucleusCytoplasmExportin 1 ProteinFluorescent Antibody Technique, IndirectGreen Fluorescent ProteinsHumansKaryopherinsLuminescent ProteinsMammary Neoplasms, AnimalMiceMitogen-Activated Protein Kinase KinasesPlasmidsCalreticulinExportin 1 ProteinGreen Fluorescent ProteinsKaryopherinsLuminescent ProteinsMitogen-Activated Protein Kinase KinasesProtein Sorting SignalsReceptors, Cytoplasmic and NuclearReceptors, ProgesteroneRecombinant Fusion Proteins

Identifiers

PMID12423067
PMCPMC2751357
OpenAlexW2058035064

What OpenQuestion holds

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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.