Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide specificity of genome editing by both CRISPR-Cas9 and TALEN in the model plant Physcomitrium patens.

ABSTRACT: Genome-wide specificity of genome editing by both CRISPR-Cas9 and TALEN in the model plant Physcomitrium patens.

PROVIDER: PRJEB51295 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR8982190_1.fastq.gz	Fastqsanger.gz
	ERR8982190_2.fastq.gz	Fastqsanger.gz
	ERR8982191_1.fastq.gz	Fastqsanger.gz
	ERR8982191_2.fastq.gz	Fastqsanger.gz
	ERR8982192_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 28

Similar Datasets

Genome-wide specificity of genome editing by both CRISPR-Cas9 and TALEN in the model plant Physcomitrium patens

Project description:CRISPRs and TALENs are efficient systems for gene editing in many organisms including plants. In many cases the CRISPR-Cas or TALEN modules are expressed in the plant cell only transiently. Theoretically, transient expression of the editing modules should limit unexpected effects compared to stable transformation. However, very few studies have measured the off-target and unpredicted effects of editing strategies on the plant genome, and none of them have compared these two major editing systems. We conducted a comprehensive genome-wide investigation of off-target mutations using either a CRISPR-Cas9 or a TALEN strategy. We observed a similar number of SNVs and InDels for the two editing strategies compared to control non-transfected plants, with an average of 8.25 SNVs and 19.5 InDels for the CRISPR-edited plants, and an average of 17.5 SNVs and 32 InDels for the TALEN-edited plants. Interestingly, a comparable number of SNVs and InDels could be detected in the PEG-treated control plants. This shows that except for the on-target modifications, the gene editing tools used in this study did not show a significant off-target activity nor unpredicted effects on the genome, and that the PEG treatment in itself was probably the main source of mutations found in the edited plants.

2022-03-03 | E-MTAB-11497 | biostudies-arrayexpress

Physcomitrium patens

Project description:Physcomitrium patens CENH3 ChIPseq

| PRJNA1066584 | ENA

Surface-localized glycoproteins act through class C ARFs to fine-tune gametophore initiation in Physcomitrium patens

Project description:To investigate transcriptomic profiles when auxin-dependent transcription factor ARFC2 from Physcomitrium patens is expressed, we established an inducible overexpressor line for PpARFC2. We then perform bulk RNA-seq on protonemata tissues that have been mock-treated or induced by beta-estradiol for 16 h.

2022-09-27 | GSE213920 | GEO

Physcomitrium patens

Project description:Physcomitrium patens Raw sequence reads

| PRJNA475300 | ENA

Physcomitrium patens

Project description:Physcomitrium patens Raw sequence reads

| PRJNA317343 | ENA

Physcomitrium patens

Project description:Physcomitrium patens Raw sequence reads

| PRJNA388847 | ENA

Physcomitrium patens

Project description:Physcomitrium patens Raw sequence reads

| PRJNA398698 | ENA

Comparison of wild type and DEK1 mutant juvenile gametophytic development in Physcomitrium (Physcomitrella) patens with RNAseq data

Project description:Physcomitrium (Physcomitrella) patens Gransden wild type strain and four mutants Δdek1 (Perroud et al., 2014); Δloop (Demko et al., 2014); Δlg3 (Johansen et al., 2016) and oex1 (this work) were sequenced for time series analysis.

2023-12-31 | E-MTAB-10907 | biostudies-arrayexpress

Physcomitrium patens

Project description:Physcomitrium patens Transcriptome or Gene expression

| PRJNA266515 | ENA

Physcomitrium patens

Project description:Physcomitrium patens Transcriptome or Gene expression

| PRJNA259082 | ENA