Blogs
Explore the innovations shaping safer cell and gene therapies
Why Experimental Setup Determines Off-target Data Quality
When people talk about gene editing safety, the focus is usually on detection: where are the off-targets? How many are there? Can we trust the data? However, many issues start much earlier within the experimental design. If the design isn’t right, the data won’t be either.
±õ±·¶Ù±«°ä·¡-²õ±ð±ç®: A New Standard for Genome-Wide DNA Break Characterization in Gene Editing
Despite the rapid evolution of CRISPR-Cas systems, base editors, and prime editors, the tools used to characterise off-target activity have not always kept pace. Many widely adopted methods rely on indirect readouts, PCR-amplified libraries, or fragmented multi-assay workflows. Others measure the final genomic outcome long after editing has occurred, rather than capturing the break event itself.
Solving the Off-Target Analysis Bottleneck: Decision-Focused Bioinformatics for Gene Editing
As editing programs move from early discovery toward IND-enabling studies, the pressure shifts from identifying events to discriminating between them. The challenge is no longer technical detection. It’s decision clarity.