Generation of an arrayed CRISPR-Cas9 library targeting epigenetic regulators: from high-content screens to in vivo assays

Autor: Henser-Brownhill, Tristan, Monserrat, Josep, Scaffidi, Paola
Rok vydání: 2017
Předmět:
Zdroj: Epigenetics
Henser-Brownhill, T, Monserrat, J & Scaffidi, P 2017, ' Generation of an arrayed CRISPR-Cas9 library targeting epigenetic regulators: from high-content screens to in vivo assays ', Epigenetics, vol. 12, no. 12, pp. 1065-1075 . https://doi.org/10.1080/15592294.2017.1395121
ISSN: 1559-2308
1559-2294
DOI: 10.1080/15592294.2017.1395121
Popis: The CRISPR-Cas9 system has revolutionized genome engineering, allowing precise modification of DNA in various organisms. The most popular method for conducting CRISPR-based functional screens involves the use of pooled lentiviral libraries in selection screens coupled with next-generation sequencing. Screens employing genome-scale pooled small guide RNA (sgRNA) libraries are demanding, particularly when complex assays are used. Furthermore, pooled libraries are not suitable for microscopy-based high-content screens or for systematic interrogation of protein function. To overcome these limitations and exploit CRISPR-based technologies to comprehensively investigate epigenetic mechanisms, we have generated a focused sgRNA library targeting 450 epigenetic regulators with multiple sgRNAs in human cells. The lentiviral library is available both in an arrayed and pooled format and allows temporally-controlled induction of gene knock-out. Characterization of the library showed high editing activity of most sgRNAs and efficient knock-out at the protein level in polyclonal populations. The sgRNA library can be used for both selection and high-content screens, as well as for targeted investigation of selected proteins without requiring isolation of knock-out clones. Using a variety of functional assays we show that the library is suitable for both in vitro and in vivo applications, representing a unique resource to study epigenetic mechanisms in physiological and pathological conditions.
Databáze: OpenAIRE