Gamma-retroviral/lentiviral vectors (γRV/LV) with self-inactivating (SIN) long terminal repeats (LTRs) and internal moderate cellular promoters pose a reduced risk of insertional mutagenesis when compared with vectors with active LTRs. Yet, in a recent LV-based clinical trial for β-thalassemia, vector integration within the HMGA2 gene induced the formation of an aberrantly spliced mRNA form that appeared to cause clonal dominance. Using a method that we developed, cDNA linear amplification-mediated PCR, in combination with high-throughput sequencing, we conducted a whole transcriptome analysis of chimeric LV-cellular fusion transcripts in transduced human lymphoblastoid cells and primary hematopoietic stem/progenitor cells. We observed a surprising abundance of read-through transcription originating outside and inside the provirus and identified the vector sequences contributing to the aberrant splicing process. We found that SIN LV has a sharply reduced propensity to engage in aberrant splicing compared with that of vectors carrying active LTRs. Moreover, by recoding the identified vector splice sites, we reduced residual read-through transcription and demonstrated an effective strategy for improving vectors. Characterization of the mechanisms and genetic features underlying vector-induced aberrant splicing will enable the generation of safer vectors, with low impact on the cellular transcriptome.
Daniela Cesana, Jacopo Sgualdino, Laura Rudilosso, Stefania Merella, Luigi Naldini, Eugenio Montini
Usage data is cumulative from May 2023 through May 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 467 | 87 |
127 | 37 | |
Figure | 97 | 2 |
Table | 51 | 0 |
Supplemental data | 24 | 2 |
Citation downloads | 25 | 0 |
Totals | 791 | 128 |
Total Views | 919 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.