Back

Supercoiling twists Cas9 off-target discrimination when nicking and cleaving

Jaskovikaite, I.; Offerhaus, H. S.; Vinogradovas, M.; Barkauskaite, U.; Depken, M.; Jones, S. K.

2026-04-01 biochemistry
10.64898/2026.04.01.715559 bioRxiv
Show abstract

Programmed with an RNA guide, Cas9 nuclease directs double-strand DNA cleavage via its two nuclease domains. However, Cas9 sometimes falsely identifies DNA targets by binding and cleaving DNA that does not match its PAM and guide RNA sequence requirements. Cas9s specificity is often affected by DNA topology, as DNA negative supercoiling can increase off-target activity while positive supercoiling can even prevent on-target activity. Such dramatic DNA topological changes routinely occur in cells as a result of transcription and replication, making Cas9s specificity a challenge for gene editing. To determine how Cas9 imparts its specificity across sequences and topologies, we directly mapped kinetic cleavage rates and sites for thousands of relaxed and negatively-supercoiled target sequences via NucleaSeq. We find that: Negative supercoiling can accelerate off-target cleavage a thousand-fold, and shift cleavage sites by two nucleotides. Guide-target mispairs differently impact RuvC and HNH domains, which can lead to topology-dependent nicking by Cas9. Finally, we predict these variations in Cas9 cleavage activity with a biophysical model that accounts for DNA topological state. These efforts expose Cas9s strand-specific off-target cleavage activity and can improve off-target identification for more predictable and safer gene editing. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/715559v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1c1d4c5org.highwire.dtl.DTLVardef@77d891org.highwire.dtl.DTLVardef@2b3073org.highwire.dtl.DTLVardef@179d442_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Cell Systems
167 papers in training set
Top 0.7%
14.1%
2
Science
429 papers in training set
Top 3%
9.9%
3
Nature Communications
4913 papers in training set
Top 19%
9.9%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
9.0%
5
PLOS Computational Biology
1633 papers in training set
Top 4%
8.2%
50% of probability mass above
6
eLife
5422 papers in training set
Top 14%
6.2%
7
Nucleic Acids Research
1128 papers in training set
Top 3%
6.2%
8
Cell
370 papers in training set
Top 5%
3.9%
9
Nature
575 papers in training set
Top 6%
3.9%
10
Cell Genomics
162 papers in training set
Top 3%
1.8%
11
iScience
1063 papers in training set
Top 16%
1.7%
12
Cell Reports
1338 papers in training set
Top 25%
1.6%
13
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 3%
1.6%
14
Genome Biology
555 papers in training set
Top 5%
1.3%
15
Nature Biotechnology
147 papers in training set
Top 5%
1.3%
16
Molecular Cell
308 papers in training set
Top 8%
1.3%
17
PLOS ONE
4510 papers in training set
Top 59%
1.3%
18
Journal of Molecular Biology
217 papers in training set
Top 3%
0.9%
19
Science Advances
1098 papers in training set
Top 28%
0.8%
20
Journal of Cell Biology
333 papers in training set
Top 4%
0.8%
21
Nature Structural & Molecular Biology
218 papers in training set
Top 5%
0.8%
22
PLOS Biology
408 papers in training set
Top 22%
0.7%
23
PNAS Nexus
147 papers in training set
Top 3%
0.6%