Cell and Gene Therapy
Characterization of cell and gene therapy candidates requires unparalleled sensitivity, precision, and resolution.
Cell and gene therapies hold incredible promise to cure a wide range of human diseases. What current CGT development challenges exist that must be overcome to increase confidence and accelerate wider clinical adoption?
One obstacle that has become a focus of regulatory agencies is in validating and characterizing therapeutic candidates for safety and efficacy. Researchers need to be confident that deleterious mutations or gene dysregulation do not pose a risk for unintended consequences. That level of certainty requires thorough evaluation of every cell with exquisite sensitivity and precision.
Single-cell multiomic analysis provides the most precise view of the cellular ecosystem.
Traditional methods for genomic and transcriptomic analysis have been limited by tradeoffs between precision, sensitivity, and resolution. Bulk sequencing lacks the sensitivity and resolution to identify rare variants. Most single-cell sequencing methods either have reduced precision due to error-prone, uneven genome amplification, or provide limited expression level data through RNAseq end counting, which lacks the ability to provide detection of on- and off-target gene edits in non-coding regions or unexpressed genes.
BioSkryb's patented primary template-directed amplification (PTA) directs a high-fidelity polymerase to the genomic DNA template rather than using amplicons as templates. As a result, amplification is pseudolinear, uniform across the genome and between alleles, and subject to minimal error propagation.
Our ResolveDNA® kits and services harness the power of PTA to provide complete, unbiased views of whole genomes or whole exomes from single cells, or other low-input DNA samples.
Over 90% of off-target indels detected by ResolveDNA were missed by a predictive algorithm.
In two cell types and for two guide RNAs, ResolveDNA (blue) detected thousands of off-target insertion or deletion mutations (indels) that were not predicted by the Cas-OFFinder algorithm (red).
Pairing transcriptomic analysis with genomic analysis reveals phenotypic impact.
PTA can also be used for simultaneous single-cell transcriptomic and genomic analysis. Our streamlined ResolveOME™ workflow allows the transcriptome and genome of single cells to be sequenced in parallel, revealing critical information about the potential phenotypic impact of genomic variants.
For cell and gene therapy research and development, the unique capabilities of ResolveDNA and ResolveOME enable identification of rare but potentially significant cellular subpopulations via sensitive, precise detection and cellular attribution of:
- On- and off-target gene edits including SNVs, indels, and larger structural aberrations
- Therapeutic transgene integration events
- Transcript splicing variants
- Gene expression changes associated with altered cell state and/or oncogenic potential
- >95% genomic coverage
- Superior coverage uniformity
- Unparalleled sensitivity and precision in calling both SNVs and CNVs
- >95% transcript length coverage
- Ability to link gene expression changes to genomic variation