arrow
Return

A versatile, high-efficiency platform for CRISPR-based gene activation

delete2023-02-17
delete25
delete
OA
AI
A
Amy Heidersbach
K
Kristel M. Dorighi
J
Javier A. Gomez
A
Ashley M. Jacobi
B
Benjamin Haley *
DOI:10.1038/s41467-023-36452-wdelete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
The generation of CRISPR-mediated transcriptional activation (CRISPRa)-competent cell lines pose significant technical challenges. Here the authors report a platform for production of CRISPRa-ready cell populations which they combine with optimised expressed and synthetic gRNA scaffolds to enhance functionality. CRISPR-mediated transcriptional activation (CRISPRa) is a powerful technology for inducing gene expression from endogenous loci with exciting applications in high throughput gain-of-function genomic screens and the engineering of cell-based models. However, current strategies for generating potent, stable, CRISPRa-competent cell lines present limitations for the broad utility of this approach. Here, we provide a high-efficiency, self-selecting CRISPRa enrichment strategy, which combined with piggyBac transposon technology enables rapid production of CRISPRa-ready cell populations compatible with a variety of downstream assays. We complement this with an optimized guide RNA scaffold that significantly enhances CRISPRa functionality. Finally, we describe a synthetic guide RNA tool set that enables transient, population-wide gene activation when used with the self-selecting CRISPRa system. Taken together, this versatile platform greatly enhances the potential for CRISPRa across a wide variety of cellular contexts.
Keywords:
TRANSCRIPTIONAL ACTIVATION
GUIDE
CELLS
SCREENS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Communications cover
Nature Communications
IF:
15.7
Papers:
9.3W
Citations:
91.2W

Organization

R
roche holding
Scholars:
2.1W
Papers: 1.1W
Citations: 9
G
Genentech
Scholars:
6.7K
Papers: 3.7K
Citations: 1.2K