Diverse genomic integration of a lentiviral vector developed for the treatment of Wiskott-Aldrich syndrome.

BACKGROUND: The genomic integration of a lentiviral vector developed for the treatment of Wiskott-Aldrich syndrome (WAS) was assessed by localizing the vector insertion sites (IS) in a murine model of gene therapy for the disease. METHODS: Transduced hematopoietic progenitor cells were transplanted into mice or cultured in vitro. The IS were determined in the genomic DNA from blood, the bone marrow of the animals and from cultured cells. RESULTS: Sequencing vector-genomic DNA junctions yielded more than 150 IS of which 50-70% were located in transcription units. To obtain additional sequences from the population of cultured cells, we used a vector-tag concatenation technique providing 190 additional IS. Altogether, the profiles confirmed the bias for integration in transcription units. The vector did not congregate as hotspots and did not appear to target specific categories of genes. The diversity of the IS reflected the initial marking of a polyclonal population of cells. However, relatively few vector IS were found in vivo because only 30-40 unique IS were identified in each mouse using this approach. Although four to ten IS were shared by the blood and bone marrow, no common IS was found between mice or between any mouse and the cultured cells. CONCLUSIONS: Taken as a whole, the pattern of genomic insertion of the WAS lentiviral vector was diverse and similar to that previously described for other HIV-1-derived lentiviral vectors. Testing cells destined for transplantation is unlikely to predict specific IS to be selected in vivo.

Comprehensive genomic access to vector integration in clinical gene therapy.

Retroviral vectors have induced subtle clonal skewing in many gene therapy patients and severe clonal proliferation and leukemia in some of them, emphasizing the need for comprehensive integration site analyses to assess the biosafety and genomic pharmacokinetics of vectors and clonal fate of gene-modified cells in vivo. Integration site analyses such as linear amplification-mediated PCR (LAM-PCR) require a restriction digest generating unevenly small fragments of the genome. Here we show that each restriction motif allows for identification of only a fraction of all genomic integrants, hampering the understanding and prediction of biological consequences after vector insertion. We developed a model to define genomic access to the viral integration site that provides optimal restriction motif combinations and minimizes the percentage of nonaccessible insertion loci. We introduce a new nonrestrictive LAM-PCR approach that has superior capabilities for comprehensive unbiased integration site retrieval in preclinical and clinical samples independent of restriction motifs and amplification inefficiency.

Numerous novel annotations of the human genome sequence supported by a 5'-end-enriched cDNA collection.

A collection of 90,000 human cDNA clones generated to increase the fraction of "full-length" cDNAs available was analyzed by sequence alignment on the human genome assembly. Five hundred fifty-two gene models not found in LocusLink, with coding regions of at least 300 bp, were defined by using this collection. Exon composition proposed for novel genes showed an average of 4.7 exons per gene. In 20% of the cases, at least half of the exons predicted for new genes coincided with evolutionary conserved regions defined by sequence comparisons with the pufferfish Tetraodon nigroviridis. Among this subset, CpG islands were observed at the 5' end of 75%. In-frame stop codons upstream of the initiator ATG were present in 49% of the new genes, and 16% contained a coding region comprising at least 50% of the cDNA sequence. This cDNA resource also provided candidate small protein-coding genes, usually not included in genome annotations. In addition, analysis of a sample from this cDNA collection indicates that approximately 380 gene models described in LocusLink could be extended at their 5' end by at least one new exon. Finally, this cDNA resource provided an experimental support for annotations based exclusively on predictions, thus representing a resource substantially improving the human genome annotation.