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The Yeast Three-Hybrid System as an Experimental Platform to Identify Proteins Interacting with Small Signaling Molecules in Plant Cells: Potential and Limitations

Overview of attention for article published in Frontiers in Plant Science, January 2011
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Title
The Yeast Three-Hybrid System as an Experimental Platform to Identify Proteins Interacting with Small Signaling Molecules in Plant Cells: Potential and Limitations
Published in
Frontiers in Plant Science, January 2011
DOI 10.3389/fpls.2011.00101
Pubmed ID
Authors

Stéphanie Cottier, Timon Mönig, Zheming Wang, Jiří Svoboda, Wilhelm Boland, Markus Kaiser, Erich Kombrink

Abstract

Chemical genetics is a powerful scientific strategy that utilizes small bioactive molecules as experimental tools to unravel biological processes. Bioactive compounds occurring in nature represent an enormous diversity of structures that can be used to dissect functions of biological systems. Once the bioactivity of a natural or synthetic compound has been critically evaluated the challenge remains to identify its molecular target and mode of action, which usually is a time-consuming and labor-intensive process. To facilitate this task, we decided to implement the yeast three-hybrid (Y3H) technology as a general experimental platform to scan the whole Arabidopsis proteome for targets of small signaling molecules. The Y3H technology is based on the yeast two-hybrid system and allows direct cloning of proteins that interact in vivo with a synthetic hybrid ligand, which comprises the biologically active molecule of interest covalently linked to methotrexate (Mtx). In yeast nucleus the hybrid ligand connects two fusion proteins: the Mtx part binding to dihydrofolate reductase fused to a DNA-binding domain (encoded in the yeast strain), and the bioactive molecule part binding to its potential protein target fused to a DNA-activating domain (encoded on a cDNA expression vector). During cDNA library screening, the formation of this ternary, transcriptional activator complex leads to reporter gene activation in yeast cells, and thereby allows selection of the putative targets of small bioactive molecules of interest. Here we present the strategy and experimental details for construction and application of a Y3H platform, including chemical synthesis of different hybrid ligands, construction of suitable cDNA libraries, the choice of yeast strains, and appropriate screening conditions. Based on the results obtained and the current literature we discuss the perspectives and limitations of the Y3H approach for identifying targets of small bioactive molecules.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Canada 1 1%
Slovenia 1 1%
Belgium 1 1%
Japan 1 1%
Unknown 89 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 28%
Student > Ph. D. Student 24 26%
Student > Bachelor 11 12%
Student > Master 4 4%
Student > Doctoral Student 3 3%
Other 9 10%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 47%
Biochemistry, Genetics and Molecular Biology 15 16%
Chemistry 10 11%
Computer Science 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 5%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2012.
All research outputs
#19,635,346
of 24,149,630 outputs
Outputs from Frontiers in Plant Science
#15,412
of 22,563 outputs
Outputs of similar age
#167,016
of 187,513 outputs
Outputs of similar age from Frontiers in Plant Science
#27
of 50 outputs
Altmetric has tracked 24,149,630 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,563 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 187,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.