Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: Orthologous CRISPR-Cas9 for Combinatorial Genetic Screens

PROVIDER: PRJNA385828 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5517576.fastq.gz	Fastqsanger.gz
	SRR5526840.fastq.gz	Fastqsanger.gz
	SRR5528222.fastq.gz	Fastqsanger.gz
	SRR5526914.fastq.gz	Fastqsanger.gz
	SRR5528974.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 49

Similar Datasets

Homo sapiens

Project description:CRISPR genetic screens

| PRJNA322191 | ENA

Homo sapiens

Project description:Comparative Optimization of Combinatorial CRISPR Screens

| PRJNA792754 | ENA

Homo sapiens

Project description:Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities

| PRJNA508200 | ENA

Project description:CRISPR Cas9 genetic screens on TMPRSS2

| PRJNA1101180 | ENA

Homo sapiens

Project description:Optimization of AsCas12a for combinatorial genetic screens in human cells

| PRJNA563087 | ENA

Optimization of Cas12a for multiplexed genome- scale transcriptional activation

Project description:Cas12a CRISPR technology, unlike Cas9, allows for multiplexing guide RNAs from a single transcript, simplifying combinatorial perturbations. While Cas12a has been implemented for multiplexed knockout genetic screens, it has yet to be optimized for CRISPR activation (CRISPRa) screens in human cells. Here we develop a new Cas12a-based transactivation domain (TAD) recruitment system using the ALFA nanobody and demonstrate simultaneous activation of up to four genes. We screen a genome-wide library to identify modulators of growth and MEK inhibition, and we compare these results to those obtained with open reading frame (ORF) overexpression and Cas9-based CRISPRa. We find that the activity of multiplexed arrays is largely predictable from the best-performing guide and we provide criteria for selecting active guides. We anticipate that these results will greatly accelerate the exploration of gene function and combinatorial phenotypes at scale.

2023-05-09 | GSE231789 | GEO