Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing

ABSTRACT: Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing

PROVIDER: PRJNA1133726 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR29572037_1.fastq.gz	Fastqsanger.gz
	SRR29572037_2.fastq.gz	Fastqsanger.gz
	SRR29572041_1.fastq.gz	Fastqsanger.gz
	SRR29572041_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 56

Similar Datasets

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [WGBS-seq]

Project description:Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [WGBS-seq]

| PRJNA1128695 | ENA

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [DNA methylation arrays]

Project description:Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [DNA methylation arrays]

| PRJNA1116113 | ENA

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [RNA-seq, transdifferentiation]

Project description:Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [RNA-seq, transdifferentiation]

| PRJNA1128675 | ENA

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [RNA-seq, IL1B treatment]

Project description:Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [RNA-seq, IL1B treatment]

| PRJNA1128672 | ENA

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [dCas9-DNMT3A ChIP-seq]

Project description:Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [dCas9-DNMT3A ChIP-seq]

| PRJNA1128694 | ENA

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [DNA methylation arrays]

Project description:We assessed both on-target and off-target DNA methylation editing events following targeting with dCas9-DNMT3A to the IL1RN locus in cells undergoing B to macrophage transdifferentiation.

2025-06-02 | GSE268284 | GEO

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing [dCas9-DNMT3A ChIP-seq]

Project description:To investigate the genome-wide occupancy of the DNA methylation editing tool dCas9-DNMT3A in cells harboring non-targeting sgRNAs (CTRL) and cells harboring sgRNAs targeting the IL1RN promoter (sgIL1RN).

2025-06-02 | GSE270885 | GEO

Targeted DNA-seq of Human HepG2 cells following editing with CRISPR/Cas9

Project description:We performed a large-scale genome-wide characterisation of indels generated following editing with CRISPR/Cas9. We used pools of sgRNAs and performed targeted capture and sequencing of the edited regions in HepG2 cells.

2018-12-13 | E-MTAB-7095 | biostudies-arrayexpress

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

Modulating immune cell fate and inflammation through CRISPR-mediated DNA methylation editing

Project description:This SuperSeries is composed of the SubSeries listed below.

2025-06-02 | GSE271842 | GEO