Evidence map›Paper›PMID 24792241›Full record

ArticleCurrent genetics2014

A modular plasmid system for protein co-localization and bimolecular fluorescence complementation in filamentous fungi.

Mario Lange, Ely Oliveira-Garcia, Holger B Deising, Edgar Peiter

Abstract read
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Article in Current genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Mario LangePlant Nutrition Laboratory, Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, Martin Luther University of Halle-Wittenberg, 06099, Halle (Saale), Germany.
Ely Oliveira-Garcia
Holger B Deising
Edgar Peiter
Martin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the function of a protein, it is crucial to know its subcellular location and its interaction partners. Common approaches to resolve those questions rely on the genetic tagging of the gene-of-interest (GOI) with fluorescent reporters. To determine the location of a tagged protein, it may be co-localized with tagged marker proteins. The interaction of two proteins under investigation is often analysed by tagging both with the C- and N-terminal halves of a fluorescent protein. In fungi, the tagged GOI are commonly introduced by serial transformation with plasmids harbouring a single tagged GOI and subsequent selection of suitable strains. In this study, a plasmid system is presented that allows the tagging of several GOI on a single plasmid. This novel double tagging plasmid system (DTPS) allows a much faster and less laborious generation of double-labelled fungal strains when compared with conventional approaches. The DTPS also enables the combination of as many tagged GOI as desired and a simple exchange of existing tags. Furthermore, new tags can be introduced smoothly into the system. In conclusion, the DTPS allows an efficient tagging of GOI with a high degree of flexibility and therefore accelerates functional analysis of proteins in vivo.

Indexed as

ColletotrichumFluorescenceFungal ProteinsGene TargetingGenetic VectorsGreen Fluorescent ProteinsLuminescent ProteinsPlasmidsProtein TransportRecombinant Fusion ProteinsRed Fluorescent ProteinFungal ProteinsGreen Fluorescent ProteinsLuminescent ProteinsRecombinant Fusion ProteinsRed Fluorescent Protein

Identifiers

PMID24792241
OpenAlexW1984353823

What OpenQuestion holds

Textmetadata
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.