bioRxivGenomicsPreprint
HTLV-1 Splice Sites in Prevalent Gene VectorsCause Splicing Perturbations in Transgenic Human Cells
Csaba MiskeyiD, Sabrina PrommersbergeriD, Katrin MestermanniD, Michael HudecekiD, Zoltán IvicsiD
Abstract
The use of any semi-randomly integrating gene vector in a therapeutic setting is associated with genotoxic risks. The two major mechanisms of genotoxicity are disruption of a coding sequence (loss-of-function) or transcriptional upregulation of genes (gain-of-function) in the cellular genome where the genetic modifications are executed. A third, less widely recognized genotoxic risk stems from splice sites and polyadenylation sites within the vector sequences. These transcriptional elements may drive aberrant splicing and/or polyadenylation between transgene-contained and genomic sequences. A widely used promoter/enhance element present in gene vectors to ensure high transgene expression levels in mammalian cells is composed of a hybrid EF1/HTLV-1 LTR, in which the retroviral LTR contains an intron. We assessed aberrant splicing initiated from the splice donor (SD) element present in the HTLV-1 LTR in CAR-T cells that had been engineered by either lentiviral vector (LV) or Sleeping Beauty (SB) transposon-mediated gene transfer. We establish that the vector-contained canonical SD site gives rise to aberrantly spliced RNA species and thereby can cause misexpression of host gene segments that are involved in various host cell functions. This, potentially genotoxic, effect could be abrogated by mutating or completely eliminating the SD (or the entire intron) from the HTLV-1 LTR segment. CAR-T cells generated by the modified vectors are equally potent in efficiency of CAR-T cell manufacturing and in functionality. The simple genetic modifications that we describe here affecting vector design therefore enhance genomic safety while maintaining efficacy of gene-modified therapeutic cells.
- organism: human
- assay: CRISPR screen
- assay: spatial transcriptomics
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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