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Published on: May 28, 2019
Quantitative and modularized CRISPR/dCas9-dCpf1 dual function system in Saccharomyces cerevisiae
Qing Feng1, Xiaoyu Ning1, Lei Qin2
1Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, School of Chemistry and Chemical Engineering, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China.
Researchers developed a dual CRISPR activation/inhibition (CRISPRa/i) system using Sp-dCas9 and Fn-dCpf1 for precise yeast metabolic engineering. This bifunctional system offers enhanced control over gene expression for biotechnology applications.
Area of Science:
- Synthetic Biology
- Molecular Biology
- Metabolic Engineering
Background:
- CRISPR/dCas9 and CRISPR/dCpf1 systems offer potential for yeast metabolic pathway modulation but have limitations.
- A compensatory approach is needed to overcome individual system deficiencies.
Purpose of the Study:
- To construct and validate a dual functional CRISPR activation/inhibition (CRISPRa/i) system based on Sp-dCas9 and Fn-dCpf1.
- To achieve precise quantitative control over yeast gene expression for metabolic engineering.
Main Methods:
- Validated orthogonality and quantitative targeting of yeast promoters using various effector proteins and RNA scaffolds.
- Investigated CRISPR/dCas9 and CRISPR/dCpf1 systems for gene regulation rates and crRNA efficiency.
- Developed an orthogonal CRISPR/dCas9-dCpf1 inhibition system for simultaneous dual gene regulation.
Main Results:
- CRISPR/dCas9 system achieved 81.9% suppression to 627% activation.
- CRISPR/dCpf1 system demonstrated up to 530% transcriptional inhibition.
- Orthogonal system simultaneously regulated mCherry (54.6%) and eGFP (62.4%) without crosstalk.
Conclusions:
- Established an engineered yeast cell factory for β-carotene production using the bifunctional CRISPR/dCas9-dCpf1 system.
- The system enables targeted modulation of heterologous and endogenous metabolic pathways in Saccharomyces cerevisiae.
- Demonstrated superior quantitative effectiveness and expandability for simultaneous CRISPRa/i network control in yeast biotechnology.
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