Nature Structural & Molecular BiologyMolecular BiologyPeer-reviewed journal article
A genome-wide knock-out screen for actors of epigenetic silencing reveals new regulators of germline genes and 2-cell like cell state
Nikhil GuptaiD, Lounis YakhouiD, Julien Richard AlbertiD, Anaelle AzoguiiD, Laure Ferry, Olivier KirshiD, Fumihito MiuraiD, Sarah BattaultiD, Kosuke YamaguchiiD, Marthe LaisnéiD, Cécilia Domrane, Frédéric BonhommeiD, Arpita SarkariD, Marine DelagrangeiD, Bertrand DucosiD, Gaël CristofariiD, Takashi ItoiD, Max GreenbergiD, Pierre‐Antoine DefosseziD
Abstract
Epigenetic mechanisms are essential to establish and safeguard cellular identities in mammals. They dynamically regulate the expression of genes, transposable elements, and higher-order chromatin structures. Expectedly, these chromatin marks are indispensable for mammalian development and alterations often lead to diseases such as cancer. Molecularly, epigenetic mechanisms rely on factors to establish patterns, interpret them into a transcriptional output, and maintain them across cell divisions. A global picture of these phenomena has started to emerge over the years, yet many of the molecular actors remain to be discovered. In this context, we have developed a reporter system sensitive to epigenetic perturbations to report on repressive pathways based on Dazl, which is normally repressed in mouse ES cells. We used this system for a genome-wide CRISPR knock-out screen, which yielded expected hits (DNMT1, UHRF1, MGA), as well as novel candidates. We prioritized the candidates by secondary screens, and led further experiments on 6 of them: ZBTB14, KDM5C, SPOP, MCM3AP, BEND3, and KMT2D. Our results show that all 6 candidates regulate the expression of germline genes. In addition, we find that removal of ZBTB14, KDM5C, SPOP and MCM3AP led to similar transcriptional responses, including a reactivation of the 2-cell like cell (2CLC) signature. Therefore, our genetic screen has identified new regulators of key cellular states.
- organism: mouse
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: perturbation response prediction
- approach: experimental assay
- Citations
- 22
- FWCI
- 1.69
- Field percentile
- top 16%
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