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Updated: May 8, 2026

Genetic Manipulation in Δku80 Strains for Functional Genomic Analysis of Toxoplasma gondii
Published on: July 12, 2013
A New Conditional Transcription Factor for Use in Toxoplasma Gondii
Mohammad Farouq Sharifpour1,2, Shadi Khadiv3, Alessandro D Uboldi4,5
1Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, Queensland, Australia.
Researchers developed a new rapamycin-controlled Conditional Transcription Factor (CTF) for Toxoplasma gondii. This system offers near-zero background expression and robust gene regulation, improving upon previous tetracycline-based methods.
Area of Science:
- Parasitology
- Molecular Biology
- Genetics
Background:
- Toxoplasma gondii is an intracellular parasite.
- Previous gene transcription control in Toxoplasma used a tetracycline-controlled tet-off system.
- The tet-off system had limitations including modest signal-to-noise ratios and significant leakiness.
Purpose of the Study:
- To develop a new, reversible, and robust Conditional Transcription Factor (CTF) for gene regulation in Toxoplasma gondii.
- To overcome the limitations of existing gene control systems in this parasite.
- To achieve precise control over gene transcription with minimal background expression.
Main Methods:
- Development of a novel Conditional Transcription Factor (CTF) regulated by rapamycin.
- Stable transfection of tachyzoites with the CTF and a fluorescent reporter gene (EYFP).
- Evaluation of gene expression levels and signal-to-noise ratios in the presence and absence of rapamycin.
Main Results:
- The CTF functions in a drug-off manner, exhibiting near-zero leakiness in the presence of rapamycin.
- In the absence of rapamycin, 84% of tachyzoites expressed EYFP, comparable to constitutive controls.
- Achieved an impressive signal-to-noise ratio (SNR) averaging 1489, functioning like an "on/off" switch.
Conclusions:
- The rapamycin-controlled CTF provides a significant improvement for conditional gene expression in Toxoplasma gondii.
- The system offers high fidelity and robustness, overcoming limitations of prior methods.
- The modular design facilitates adaptation for diverse genes and other apicomplexan organisms.
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