Efficient DNA- and virus-free engineering of cellular transcriptomic states using dCas9 ribonucleoprotein (dRNP) complexes

For genome editing, the use of CRISPR ribonucleoprotein (RNP) complexes is well established and often the superior choice over plasmid-based or viral strategies. RNPs containing dCas9 fusion proteins, which enable the targeted manipulation of transcriptomes and epigenomes, remain significantly less accessible. Here, we describe the production, delivery, and optimization of second generation CRISPRa RNPs (dRNPs). We characterize the transcriptional and cellular consequences of dRNP treatments in a variety of human target cells and show that the uptake is very efficient. The targeted activation of genes demonstrates remarkable potency, even for genes that are strongly silenced, such as developmental master transcription factors. In contrast to DNA-based CRISPRa strategies, gene activation is immediate and characterized by a sharp temporal precision. We also show that dRNPs allow very high-target multiplexing, enabling undiminished gene activation of multiple genes simultaneously. Applying these insights, we find that intensive target multiplexing at single promoters synergistically elevates gene transcription. Finally, we demonstrate in human stem and differentiated cells that the preferable features of dRNPs allow to instruct and convert cell fates efficiently without the need for DNA delivery or viral vectors.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-03-20
DOI
https://doi.org/10.1093/nar/gkaf235
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient DNA- and virus-free engineering of cellular transcriptomic states using dCas9 ribonucleoprotein (dRNP) complexes

Maximilian Wiesbeck, André Mourão, Anna Köferle, Stefan H. Stricker et al.
2 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
1.61
article

Efficient DNA- and virus-free engineering of cellular transcriptomic states using dCas9 ribonucleoprotein (dRNP) complexes

Maximilian Wiesbeck, André Mourão, Anna Köferle, Stefan H. Stricker, Tara Schmidt, Arie Geerlof, Simon Imhof, Anna Danese, Andrea M. Neuner, Deeksha, Luisa Egert, T. Truong, Lukas Voshagen, Matilde Iraci Borgia
article en
2 citations

Abstract

For genome editing, the use of CRISPR ribonucleoprotein (RNP) complexes is well established and often the superior choice over plasmid-based or viral strategies. RNPs containing dCas9 fusion proteins, which enable the targeted manipulation of transcriptomes and epigenomes, remain significantly less accessible. Here, we describe the production, delivery, and optimization of second generation CRISPRa RNPs (dRNPs). We characterize the transcriptional and cellular consequences of dRNP treatments in a variety of human target cells and show that the uptake is very efficient. The targeted activation of genes demonstrates remarkable potency, even for genes that are strongly silenced, such as developmental master transcription factors. In contrast to DNA-based CRISPRa strategies, gene activation is immediate and characterized by a sharp temporal precision. We also show that dRNPs allow very high-target multiplexing, enabling undiminished gene activation of multiple genes simultaneously. Applying these insights, we find that intensive target multiplexing at single promoters synergistically elevates gene transcription. Finally, we demonstrate in human stem and differentiated cells that the preferable features of dRNPs allow to instruct and convert cell fates efficiently without the need for DNA delivery or viral vectors.

Nucleic Acids ResearchVol. 53(6)
Center for Environmental Health (US), Helmholtz Zentrum München (DE), Ludwig-Maximilians-Universität München (DE)
California Department of Fish and Game, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Helmholtz Zentrum München
Openalex Percentile: Top 18%
CRISPR and Genetic Engineering
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.