Clonal dynamics limits detection of selection in tumour xenograft CRISPR/Cas9 screens.
Tet Woo LeeFrancis W HunterPeter TsaiCristin G PrintWilliam R WilsonStephen M F JamiesonPublished in: Cancer gene therapy (2023)
Transplantable in vivo CRISPR/Cas9 knockout screens, in which cells are edited in vitro and inoculated into mice to form tumours, allow evaluation of gene function in a cancer model that incorporates the multicellular interactions of the tumour microenvironment. To improve our understanding of the key parameters for success with this method, we investigated the choice of cell line, mouse host, tumour harvesting timepoint and guide RNA (gRNA) library size. We found that high gRNA (80-95%) representation was maintained in a HCT116 subline transduced with the GeCKOv2 whole-genome gRNA library and transplanted into NSG mice when tumours were harvested at early (14 d) but not late time points (38-43 d). The decreased representation in older tumours was accompanied by large increases in variance in gRNA read counts, with notable expansion of a small number of random clones in each sample. The variable clonal dynamics resulted in a high level of 'noise' that limited the detection of gRNA-based selection. Using simulated datasets derived from our experimental data, we show that considerable reductions in count variance would be achieved with smaller library sizes. Based on our findings, we suggest a pathway to rationally design adequately powered in vivo CRISPR screens for successful evaluation of gene function.
Keyphrases
- crispr cas
- genome wide
- genome editing
- high throughput
- dna methylation
- copy number
- high fat diet induced
- cell cycle arrest
- induced apoptosis
- loop mediated isothermal amplification
- stem cells
- real time pcr
- peripheral blood
- physical activity
- air pollution
- papillary thyroid
- big data
- neural network
- electronic health record
- cell proliferation
- gene expression
- middle aged
- squamous cell carcinoma
- cell death
- oxidative stress
- rna seq
- decision making
- atomic force microscopy
- young adults
- insulin resistance
- signaling pathway
- childhood cancer
- nucleic acid