ArticleAnalytical biochemistry2009
A tetracycline repressor-based mammalian two-hybrid system to detect protein-protein interactions in vivo.
Article in Analytical biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Phosphoregulated orthogonal signal transduction in mammalian cells.Nature communications · 2020Article
- Equilibrium of sortase A dimerization on Staphylococcus aureus cell surface mediates its cell wall sorting activity.Experimental biology and medicine (Maywood, N.J.) · 2016Article
- Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.Microbiology and molecular biology reviews : MMBR · 2012Review
- A versatile approach to transform low-affinity peptides into protein probes with cotranslationally expressed chemical cross-linker.Analytical biochemistry · 2010Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A mammalian two-hybrid system (termed as trM2H) was developed to detect protein-protein interactions in vivo, based on the reconstitution of the functions the of tetracycline repressor (TetR). The system is sensitive enough to detect protein-protein interactions with K(d) up to 55microM in mammalian cells, and the system can be regulated by small molecules. This system can be used as an efficient genetic selection system to map protein-protein interactions in mammalian cells.
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Registered trials
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.