Genome editing has emerged as a revolutionary force within the life sciences, wielding transformative potential in applications such as cell and gene therapy development, disease modeling, and functional genomics. Despite the promise of precision of advanced genome editors, editing outcomes remain largely unpredictable. Different cells subjected to the same editing regimen can yield distinct combinations of edits, varying not only across multiple on-target sites but also between on-target and off-target locations. From the perspective of the fundamental biological unit—a single cell— the zygosity disparity (Mono-allelic, Bi-allelic), heterogeneity in variants (homozygous, heterozygous, compound heterozygous), and their functional impact all contribute to the layer of complexity in the mosaicism of editing outcomes. Current genome editing analyses primarily rely on bulk methods, which, though valuable, provide only an average editing efficiency (at the allelic level) of a population. The nuanced cell-to-cell variation of edits remains elusive within these traditional approaches. Here, we present compelling evidence that the TapestriⓇ Genome Editing (GE) Solution offers a breakthrough in the analysis of knockout (KO) and base editing (BE) experiments. We demonstrate the technology’s unique single-cell multi-omics capability to furnish intricate details regarding zygosity and the co-occurrence of on- and off-target edits, thereby affording researchers the granularity needed for precise experimental outcomes.
