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ABSTRACT: Deep sequencing data for prime editing in rice protoplast

PROVIDER: PRJNA918628 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR23014389_1.fastq.gz	Fastqsanger.gz
	SRR23014389_2.fastq.gz	Fastqsanger.gz
	SRR23014390_1.fastq.gz	Fastqsanger.gz
	SRR23014390_2.fastq.gz	Fastqsanger.gz
	SRR23014391_1.fastq.gz	Fastqsanger.gz

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Project description:Deep sequencing data for prime editing in rice protoplast

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Project description:prime editing experiments HTS data

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Prime editing for functional repair in patient-derived disease models

Project description:Prime editing is a novel genome editing technology using fusion proteins of Cas9-nickase and reverse transcriptase, that holds promise to correct a wide variety of genetic defects. We succeeded in efficient prime editing and functional recovery of disease-causing mutations in patient-derived liver and intestinal stem cell organoids. Whole genome sequencing of did not detect off-target mutations or a mutational signature induced by prime editing.

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Project description:Deep sequencing data for sequence specificity on four ScCas9-based variants in rice protoplast

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Targeted amplicon sequencing data from specified genomic amplicons

Project description:Purpose: The goals of this study are to introduce a new genome editing tool, which has the higher editing scope than the original genome editing tools. Methods: First, we transfected PE2 (the original prime editing tool, prime editor2), PE3 (the original prime editing tool, prime editor3) and HOPE (the new tool we developed in this study) vectors into human cells, respectively. Then, we harvested the genomic DNA form the transfected cells and amplified the specified amplicons. Finally, we used targeted amplicon sequencing approach to compare the editing efficiency and presion of the new tool with the original reported tools. Results: Our new genome editing tool improves the editing efficiency of prime editing without increasing the risk of undesired indels formation. Conclusions: We deleveped a new genome editing tool to increase the likelihood of successful gene engineering.

2021-04-10 | GSE171470 | GEO

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