Single-stranded DNA with internal base modifications mediates highly efficient knock-in in primary cells using CRISPR-Cas9

Single-stranded DNA (ssDNA) templates along with Cas9 have been used for knocking-in exogenous sequences in the genome but suffer from low efficiency. Here, we show that ssDNA with chemical modifications in 12-19% of internal bases, which we denote as enhanced ssDNA (esDNA), improve knock-in (KI) by 2-3-fold compared to end-modified ssDNA in airway basal stem cells (ABCs), CD34 + hematopoietic cells (CD34 + cells), T-cells and endothelial cells. Over 50% of alleles showed KI in three clinically relevant loci (CFTR, HBB and CCR5) in ABCs using esDNA and up to 70% of alleles showed KI in the HBB locus in CD34 + cells in the presence of a DNA-PKcs inhibitor. This level of correction is therapeutically relevant and is comparable to adeno-associated virus-based templates. The esDNA templates did not improve KI in induced pluripotent stem cells (iPSCs). This may be due to the absence of the nuclease TREX1 in iPSCs. Indeed, knocking out TREX1 in other cells improved KI using unmodified ssDNA. esDNA can be used to modify 20-30 bp regions in primary cells for therapeutic applications and biological modeling. The use of this approach for gene length insertions will require new methods to produce long chemically modified ssDNA in scalable quantities.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2024-11-21
DOI
https://doi.org/10.1093/nar/gkae1069
Citations
6
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
1.40

Funders

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

Single-stranded DNA with internal base modifications mediates highly efficient knock-in in primary cells using CRISPR-Cas9

Mark E. Hester, Estelle Cormet‐Boyaka, Gongbo Guo, Tatyana A. Vetter et al.
6 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
1.40
article

Single-stranded DNA with internal base modifications mediates highly efficient knock-in in primary cells using CRISPR-Cas9

Mark E. Hester, Estelle Cormet‐Boyaka, Gongbo Guo, Tatyana A. Vetter, Aparna Venugopalan, Sriram Vaidyanathan, Rachael E. Rayner, Karen L Kanke, Ma Suu, Jacob T Stack, Reza Nouri, Eli Abel, Jack Bozik
article en
6 citations

Abstract

Single-stranded DNA (ssDNA) templates along with Cas9 have been used for knocking-in exogenous sequences in the genome but suffer from low efficiency. Here, we show that ssDNA with chemical modifications in 12-19% of internal bases, which we denote as enhanced ssDNA (esDNA), improve knock-in (KI) by 2-3-fold compared to end-modified ssDNA in airway basal stem cells (ABCs), CD34 + hematopoietic cells (CD34 + cells), T-cells and endothelial cells. Over 50% of alleles showed KI in three clinically relevant loci (CFTR, HBB and CCR5) in ABCs using esDNA and up to 70% of alleles showed KI in the HBB locus in CD34 + cells in the presence of a DNA-PKcs inhibitor. This level of correction is therapeutically relevant and is comparable to adeno-associated virus-based templates. The esDNA templates did not improve KI in induced pluripotent stem cells (iPSCs). This may be due to the absence of the nuclease TREX1 in iPSCs. Indeed, knocking out TREX1 in other cells improved KI using unmodified ssDNA. esDNA can be used to modify 20-30 bp regions in primary cells for therapeutic applications and biological modeling. The use of this approach for gene length insertions will require new methods to produce long chemically modified ssDNA in scalable quantities.

Nucleic Acids ResearchVol. 52(22)
Nationwide Children's Hospital (US), The Ohio State University (US)
Cystic Fibrosis Foundation, Ohio State University, Nationwide Children's Hospital, Center for Clinical and Translational Science, University of Illinois at Chicago, Center for Clinical and Translational Science, Ohio State University, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 18%
CRISPR and Genetic Engineering
1.40
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.