Article

Titrating gene expression with series of systematically compromised CRISPR guide RNAs

2019-07-28

Abstract excerpt

Biological phenotypes arise from the degrees to which genes are expressed, but the lack of tools to precisely control gene expression limits our ability to evaluate the underlying expression-phenotype relationships. Here, we describe a readily implementable approach to titrate expression of human genes using series of systematically compromised sgRNAs and CRISPR interference. We empirically characterize the activi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4608f638-3d49-5f0b-bfa7-252374899355
DOI: 10.1101/717389

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Titrating gene expression with series of systematically compromised CRISPR guide RNAsDOI 10.1101/717389Read

Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs.Semantic proximity Read

Pooled Genome-Scale CRISPR Screens in Single Cells.Semantic proximity Read

Multiplexed Engineering and Analysis of Combinatorial Enhancer Activity in Single Cells.Semantic proximity Read

Scaling perturbations: beyond genome-scale CRISPR screensSemantic proximity Read

Machine learning methods for predicting guide RNA effects in CRISPR epigenome editing experimentsSemantic proximity Read

A unified genetic perturbation language for human cellular programmingSemantic proximity Read

A simplified strategy for titrating gene expression reveals new relationships between genotype, environment, and bacterial growth.Semantic proximity Read

Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targetingSemantic proximity Read

Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seqSemantic proximity Read

Chemically-inducible CRISPR/Cas9 circuits for ultra-high dynamic range gene perturbationSemantic proximity Read

A resource and computational approach for quantifying gene editing allelism at single-cell resolutionSemantic proximity Read

Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq.Semantic proximity Read