Protocol for efficient CRISPRi-mediated silencing of retrotransposons in human pluripotent stem cells

Here, we present a workflow for transcriptional silencing of transposable elements (TEs) in human induced pluripotent stem cells (hiPSCs). We describe steps for designing guide RNAs (gRNAs) to target TE families or unique TE loci. We also detail procedures for validating the efficiency and specificity of large-scale CRISPRi-based silencing using a multiome approach combining bulk RNA sequencing, CUT&RUN epigenetic profiling, and proteomics. This framework optimizes the performance and interpretation of in vitro functional studies based on transcriptional manipulation of TEs in hiPSC models. For complete details on the use and execution of this protocol, please refer to Adami et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2026-02-26
DOI
https://doi.org/10.1016/j.xpro.2026.104398
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
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article

Protocol for efficient CRISPRi-mediated silencing of retrotransposons in human pluripotent stem cells

Fereshteh Dorazehi, Johan Jakobsson, Raquel Garza, Anita Adami et al.
STAR Protocols
Chromosomal and Genetic Variations
article

Protocol for efficient CRISPRi-mediated silencing of retrotransposons in human pluripotent stem cells

Fereshteh Dorazehi, Johan Jakobsson, Raquel Garza, Anita Adami, Christopher H. Douse
article en

Abstract

Here, we present a workflow for transcriptional silencing of transposable elements (TEs) in human induced pluripotent stem cells (hiPSCs). We describe steps for designing guide RNAs (gRNAs) to target TE families or unique TE loci. We also detail procedures for validating the efficiency and specificity of large-scale CRISPRi-based silencing using a multiome approach combining bulk RNA sequencing, CUT&RUN epigenetic profiling, and proteomics. This framework optimizes the performance and interpretation of in vitro functional studies based on transcriptional manipulation of TEs in hiPSC models. For complete details on the use and execution of this protocol, please refer to Adami et al.<sup>1</sup>.

STAR ProtocolsVol. 7(1)
Lund University (SE)
Openalex Percentile: Top 43%
Chromosomal and Genetic Variations
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