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Chlamydomonas reinhardtii, a unicellular green alga, has been widely used as a model organism for studies of algal, plant and ciliary biology. The generation of targeted amino acid mutations is often necessary, and this can be achieved using CRISPR/Cas9 induced homology-directed repair to install genomic modifications from exogenous donor DNA. Due to the low gene editing efficiency, the technical challenge lies in identifying the mutant cells. Direct sequencing is not practical, and pre-screening is required. Here, we report a strategy for generating and screening for amino acid point mutations using the CRISPR/Cas9 gene editing system. The strategy is based on designing donor DNA using codon degeneracy, which enables the design of specific primers to facilitate mutant screening by PCR. An in vitro assembled RNP complex, along with a dsDNA donor and an antibiotic resistance marker, was electroporated into wild-type cells, followed by PCR screening. To demonstrate this principle, we have generated the E102K mutation in centrin and the K40R mutation in α-tubulin. The editing efficiencies at the target sites for Centrin, TUA1, TUA2 were 4, 24 and 8% respectively, based on PCR screening. More than 80% of the mutants with the expected size of PCR products were precisely edited, as revealed by DNA sequencing. Subsequently, the precision-edited mutants were biochemically verified. The introduction of codon degeneracy did not affect the gene expression of centrin and α-tubulins. Thus, this approach can be used to facilitate the identification of point mutations, especially in genes with low editing rates.
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http://dx.doi.org/10.1111/tpj.16903 | DOI Listing |
Sheng Wu Gong Cheng Xue Bao
April 2025
Department of Laboratory Medicine, Hospital of Chang'an Dongguan, Dongguan 523843, Guangdong, China.
CD20 is a surface marker protein of B-cell lymphoma, and its extracellular region is the target of specific antibodies and drugs. To obtain a cheap and easily modified specific preparation targeting CD20, we optimized the gene of CD20 extracellular region according to codon degeneracy to facilitate its expression in . The optimized gene was cloned into pGEX-4T-1 vector, and the recombinant vector was transformed into .
View Article and Find Full Text PDFInfect Dis Poverty
April 2025
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, and National Center for Tropical Diseases Research, Shanghai, People's Republic of China.
Background: While mRNA vaccines represent a transformative platform for infectious disease control, their efficacy in antigen-presenting cells (APCs) remains vulnerable to endogenous regulatory networks, particularly microRNA (miR)-mediated translational suppression. This study addresses a critical gap in current vaccine design paradigms by systematically investigating host miR interference - an understudied barrier to robust antigen production.
Main Text: APCs express cell-type-specific miR repertoires capable of binding vaccine mRNAs through conserved seed sequences, as evidenced by synthesis of experimental data from 67 studies demonstrating miR-mediated repression of exogenous transcripts.
Chem Sci
May 2025
Department of Chemistry, Virginia Commonwealth University Box 842006, 1001 W. Main St Richmond 23284-2006 VA USA
Expanding the genetic code affords exciting opportunities for synthetic biology, studies of protein function, and creation of diverse peptide libraries by mRNA display. Maximal expansion with the standard 64 codon code requires breaking the degeneracy of the 61 sense codons which encode for only 20 amino acids. In these 61 codons are decoded by 46 different tRNAs.
View Article and Find Full Text PDFNat Commun
April 2025
Sorbonne Université, CNRS, ERL U1338 Inserm, Department of Computational, Quantitative and Synthetic Biology, Paris, France.
Degeneracy in the genetic code allows many possible DNA sequences to encode the same protein. Optimizing codon usage within a sequence to meet organism-specific preferences faces combinatorial explosion. Nevertheless, natural sequences optimized through evolution provide a rich source of data for machine learning algorithms to explore the underlying rules.
View Article and Find Full Text PDFBioinformatics
March 2025
Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY 14623, United States.
Motivation: The mapping from codon to amino acid is surjective due to codon degeneracy, suggesting that codon space might harbor higher information content. Embeddings from the codon language model have recently demonstrated success in various protein downstream tasks. However, predictive models for residue-level tasks such as phosphorylation sites, arguably the most studied Post-Translational Modification (PTM), and PTM sites prediction in general, have predominantly relied on representations in amino acid space.
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