New bioinformatic strategies to rapidly characterize retroviral integration sites of gene therapy vectors.

OBJECTIVE: Increasing use of retroviral vector-mediated gene transfer created intense interest to characterize vector integrations on the genomic level. Techniques to determine insertion sites, mainly based on time-consuming manual data processing, are commonly applied. Since a high variability in processing methods hampers further data comparison, there is an urgent need to systematically process the data arising from such analysis. METHODS: To allow large-scale and standardized comparison of insertion sites of viral vectors we developed two programs, IntegrationSeq and IntegrationMap. IntegrationSeq can trim sequences, and valid integration sequences get further processed with IntegrationMap for automatic genomic mapping. IntegrationMap retrieves detailed information about whether integrations are located in or close to genes, the name of the gene, the exact localization in the transcriptional units, and further parameters like the distance from the transcription start site to the integration. RESULTS: We validated the method using 259 files originating from integration site analysis (LM-PCR). Sequences processed by IntegrationSeq led to an increased yield of valid integration sequence detection, which were shown to be more sensitive than conventional analysis and 15 times faster, while the specificities are equal. Output files generated by IntegrationMap were found to be 99.8% identical with results retrieved by much slower conventional mapping with the ENSEMBL alignment tool. CONCLUSION: Using IntegrationSeq and IntegrationMap, a validated, fast and standardized high-throughput analysis of insertion sites can be achieved for the first time.

Retroviral MDR1 gene transfer into marrow-engrafting human peripheral blood progenitor cells results in preferential transgene expression in the immature myeloid compartment rather than in mature myeloid progeny in vivo.

BACKGROUND: The objective of multidrug resistance-1 (MDR1) gene therapy is protection of the myeloid cell lineage. It is therefore important to examine the effect of retroviral transduction on myeloid maturation. Transfer of the human MDR1 gene can confer resistance to a variety of cytostatic drugs. For a safe application in humans it is paramount to follow-up the development of transduced cells. METHODS: We transduced human mobilized peripheral blood progenitor cells (PBPC) with a viral vector containing the human MDR1 cDNA and transplanted the transduced cells into non-obese diabetic severe combined immunodeficient (NOD/SCID) mice. The progeny of the transduced cells was analyzed in detail by flow cytometry. RESULTS: A detailed analysis by four-color flow cytometry showed that MDR1 transgene-expressing CD33+ myeloid cells were preferentially negative for the maturation-associated myeloid markers CD11b and CD10, while the untransduced CD33+ myeloid cells expressed significantly higher proportions of these Ag (P<0.01 each). There was no difference in the expression of B- or T-lymphoid Ag among the MDR1-transduced and untransduced lymphoid cells. DISCUSSION: These data indicate that retroviral MDR1 gene transfer results in preferential P-glycoprotein expression in myeloid progenitor cells, which is the target cell population for myelotoxicity of cytostatic drugs.

Retroviral vector insertions in T-lymphocytes used for suicide gene therapy occur in gene groups with specific molecular functions.

Graft-versus-host disease (GvHD) is a severe complication in the context of allogeneic stem cell transplantation and adoptive immunotherapy. The transfer of a suicide gene into donor T-lymphocytes (TLCs) allows selective elimination of GvHD-causing cells. As retroviral gene transfer into hematopoietic stem cells can induce leukaemia, there is an urgent need also to analyze retroviral integration sites in TLCs. We examined suicide gene-transduced TLCs in four grafts and from four transplanted patients. One-hundred and fifteen integration sites were detected in vitro. Of these 90 could be mapped to the human genome; 50% (45) were located in genes and 32% (29) were detected 10 kb upstream or downstream of transcription start sites. We found a significant overrepresentation of genes encoding for proteins with receptor activity, signal transducer activity, transcription regulator activity, nucleic acid binding activity and translation regulator activity. Similar data were obtained from patient samples. Our results point to preferred vector integration patterns, which are specific for the target cell population and probably independent of selection processes. Thus, future preclinical analysis of the integration repertoire with abundant amounts of transduced cells could allow a prediction also for the in vivo situation, where target cells are scarce.

Rapid detection of retroviral vector integration sites in colony-forming human peripheral blood progenitor cells using PCR with arbitrary primers.

We have developed a highly sensitive polymerase chain reaction (PCR)-based technique termed two-step PCR, which uses arbitrary primers to identify proviral integration sites in retrovirally marked human colony-forming cells. The two-step PCR was established on cell line clones transduced with the SF1m retroviral vector and independently validated by demonstrating identical integration sites with ligation-mediated PCR, a different technique requiring restriction enzyme digestion and adapter ligation for amplifying unknown DNA flanking the provirus. Two-step PCR was performed on peripheral blood progenitor cell (PBPC) colonies that contained as few as 75 cells, which was estimated by quantitative real-time PCR. We were able to amplify and directly sequence proviral integration sites in 35 % of PBPC colonies (25/72, five donors). Identity to the vector long-terminal repeat was confirmed and flanking DNA was found to match with human database sequences, reaffirming specificity. Two-step PCR is a valuable new tool for rapid analysis of genomic target sites for viral vectors, and will aid significantly in understanding clonal development of hematopoiesis and other cell types. Our protocol has the potential for general applicability as the arbitrary primers described here bind to genomic DNA and are thus independent of the vector backbone used.