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ABSTRACT: NGS of gene using adenine base editor systems in rice calli

PROVIDER: PRJNA576084 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR10237262_1.fastq.gz	Fastqsanger.gz
	SRR10237262_2.fastq.gz	Fastqsanger.gz
	SRR10237263_1.fastq.gz	Fastqsanger.gz
	SRR10237263_2.fastq.gz	Fastqsanger.gz
	SRR10237264_1.fastq.gz	Fastqsanger.gz

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Project description:Techniques for exclusion of exons from mature transcripts have been applied as gene therapies for treating many different diseases. Since exon skipping has been traditionally accomplished using technologies that have a transient effect, it is particularly important to develop new techniques that enable permanent exon skipping. We have recently demonstrated that this can be accomplished using cytidine base editors for permanently disabling the splice acceptor of target exons. We now demonstrate the application of adenine-deaminase base editors to disrupt the conserved adenosine within splice acceptor sites for programmable exon skipping. We also demonstrate that by altering the amino acid sequence of the linker between the adenosine deaminase domain and the Cas9 nickase or by coupling the adenine base editor with a uracil glycosylase inhibitor, the DNA editing efficiency and exon skipping rates improve significantly. Finally, we developed a split base editor architecture compatible with adeno-associated viral packaging. Collectively, these results represent significant progress towards permanent in vivo exon skipping through base editing and, ultimately, a new modality of gene therapy for the treatment of genetic diseases.

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Project description:NGS of RHO base editor

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Project description:Current base editors use DNA deaminases, including cytidine deaminase in cytidine base editor (CBE) or adenine deaminase in adenine base editor (ABE), to facilitate transition nucleotide substitutions. Combining CBE or ABE with glycosylase enzymes can induce limited transversion mutations. Nonetheless, a critical demand remains for base editors capable of generating alternative mutation types, such as T>G corrections. In this study, we leveraged pre-trained protein language models to optimize a uracil-N-glycosylase (UNG) variant with altered specificity for thymines (eTDG). Notably, after two rounds of testing fewer than 50 top-ranking variants, more than 50% exhibited over 1.5-fold enhancement in enzymatic activities. When eTDG was fused with nCas9, it induced programmable T-to-S (G/C) substitutions and corrected db/db diabetic mutation in mice (up to 55%). Our findings not only establish orthogonal strategies for developing novel base editors, but also demonstrate the capacities of protein language models for optimizing enzymes without extensive task-specific training data.

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