Precise measurement of CRISPR genome editing outcomes through single-cell DNA sequencing

Gene therapy for clinical applications necessitates a comprehensive, accurate, and precise measurement of gene-edited drug products. State-of-the-art pipelines for evaluating editing outcomes rely primarily on bulk sequencing approaches, which are limited to population-level assessment. Here, we leveraged Tapestri, a single-cell sequencing technology for an in-depth analysis of editing outcomes. Using this platform, we characterized the genotype of triple-edited cells simultaneously at more than 100 loci, including editing zygosity, structural variations, and cell clonality. Our findings revealed a unique editing pattern in nearly every edited cell, highlighting the importance of single-cell resolution measurement to ensure the highest safety standards.

Authors

Institutions

Publication Details

Journal
Molecular Therapy — Methods & Clinical Development
Published
2025-03-14
DOI
https://doi.org/10.1016/j.omtm.2025.101449
Citations
6
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
4.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precise measurement of CRISPR genome editing outcomes through single-cell DNA sequencing

Shu Wang, Chieh-Yuan Li, Joanne Nguyen, Ayal Hendel et al.
6 citations
Molecular Therapy — Methods & Clinical Development
CRISPR and Genetic Engineering
4.84
article

Precise measurement of CRISPR genome editing outcomes through single-cell DNA sequencing

Shu Wang, Chieh-Yuan Li, Joanne Nguyen, Ayal Hendel, Nechama Kalter, Michael A. Rosenberg, Saurabh Gulati, Benjamin Schroeder, Qawer Ayaz
article en
6 citations

Abstract

Gene therapy for clinical applications necessitates a comprehensive, accurate, and precise measurement of gene-edited drug products. State-of-the-art pipelines for evaluating editing outcomes rely primarily on bulk sequencing approaches, which are limited to population-level assessment. Here, we leveraged Tapestri, a single-cell sequencing technology for an in-depth analysis of editing outcomes. Using this platform, we characterized the genotype of triple-edited cells simultaneously at more than 100 loci, including editing zygosity, structural variations, and cell clonality. Our findings revealed a unique editing pattern in nearly every edited cell, highlighting the importance of single-cell resolution measurement to ensure the highest safety standards.

Molecular Therapy — Methods & Clinical DevelopmentVol. 33(2)
Bar-Ilan University (IL), Mission Bio (United States) (US)
Zero hunger
Openalex Percentile: Top 5%
CRISPR and Genetic Engineering
4.84
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.

Precise measurement of CRISPR genome editing outcomes through single-cell DNA sequencing — Shu Wang, Chieh-Yuan Li, et al. · Molecular Therapy — Methods & Clinical Development (2025) | TGRS Research Map | TGRS