Evidence map›Paper›PMID 17254328›Full record

ArticleBMC molecular biology2007

An improved genetic system for detection and analysis of protein nuclear import signals.

Kris S Marshall, Zhiying Zhang, Jennifer Curran, Stephanie Derbyshire, Joe S Mymryk

Abstract read
In one paragraph

Article in BMC molecular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

11 citing papers in PubMed.

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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

5 authors.

Kris S MarshallDepartment of Microbiology & Immunology, The University of Western Ontario, London Regional Cancer Program, London, Ontario, N6A 4L6, Canada. kmarsh23@uwo.ca
Zhiying Zhang
Jennifer Curran
Stephanie Derbyshire
Joe S Mymryk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear import of proteins is typically mediated by their physical interaction with soluble cytosolic receptor proteins via a nuclear localization signal (NLS). A simple genetic assay to detect active NLSs based on their function in the yeast Saccharomyces cerevisiae has been previously described. In that system, a chimera consisting of a modified bacterial LexA DNA binding domain and the transcriptional activation domain of the yeast Gal4 protein is fused to a candidate NLS. A functional NLS will redirect the chimeric fusion to the yeast cell nucleus and activate transcription of a reporter gene.

resultsWe have reengineered this nuclear import system to expand its utility and tested it using known NLS sequences from adenovirus E1A. Firstly, the vector has been reconstructed to reduce the level of chimera expression. Secondly, an irrelevant "stuffer" sequence from the E. coli maltose binding protein was used to increase the size of the chimera above the passive diffusion limit of the nuclear pore complex. The improved vector also contains an expanded multiple cloning site and a hemagglutinin epitope tag to allow confirmation of expression.

conclusionThe alterations in expression level and composition of the fusions used in this nuclear import system greatly reduce background activity in beta-galactosidase assays, improving sensitivity and allowing more quantitative analysis of NLS bearing sequences.

Indexed as

Genetic TechniquesActive Transport, Cell NucleusAdenovirus E1A ProteinsAmino Acid SequenceBacterial ProteinsConsensus SequenceDNA-Binding ProteinsEscherichia coli ProteinsGenes, ReporterGenes, SyntheticGenetic VectorsHemagglutinin Glycoproteins, Influenza VirusKaryopherinsLexA Repressor ProteinMolecular Sequence DataMutant Chimeric ProteinsAdenovirus E1A ProteinsBacterial ProteinsDNA-Binding ProteinsEscherichia coli ProteinsGAL4 protein, S cerevisiaeHemagglutinin Glycoproteins, Influenza VirusKaryopherinsLexA Repressor ProteinMalE protein, E coliMutant Chimeric ProteinsPeriplasmic Binding ProteinsProtein Sorting SignalsSaccharomyces cerevisiae ProteinsSerine EndopeptidasesTranscription Factors

Identifiers

PMID17254328
PMCPMC1796550

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Registered trials

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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.