| Literature DB >> 30191160 |
Marianne Delville1,2,3,4, Tayebeh Soheili1,2,3,4, Florence Bellier1,3,4, Amandine Durand1,3,4, Adeline Denis1,3,4, Chantal Lagresle-Peyrou1,3,4, Marina Cavazzana1,2,3,4, Isabelle Andre-Schmutz1,3,4, Emmanuelle Six1,3,4.
Abstract
Lentiviral vectors have emerged as an efficient, safe therapeutic tool for gene therapy based on hematopoietic stem cells (HSCs) or T cells. However, the monitoring of transduced cells in preclinical models remains challenging because of the inefficient transduction of murine primary T cells with lentiviral vectors, in contrast to gammaretroviral vectors. The use of this later in preclinical proof of concept is not considered as relevant when a lentiviral vector will be used in a clinical trial. Hence, there is an urgent need to develop an efficient transduction protocol for murine cells with lentiviral vectors. Here, we describe an optimized protocol in which a nontoxic transduction enhancer (Lentiboost) enables the efficient transduction of primary murine T cells with lentiviral vectors. The optimized protocol combines low toxicity and high transduction efficiency. We achieved a high-level transduction of murine CD4+ and CD8+ T cells with a VSV-G-pseudotyped lentiviral vector with no changes in the phenotypes of transduced T cells, which were stable and long-lived in culture. This enhancer also increased the transduction of murine HSCs. Hence, use of this new transduction enhancer overcomes the limitations of lentiviral vectors in preclinical experiments and should facilitate the translation of strategies based on lentiviral vectors from the bench to the clinic.Entities:
Keywords: Lentiboost; gene therapy; lentiviral transduction; murine CD4+ T cells; murine CD8+ T cells; murine Sca1+ cells
Year: 2018 PMID: 30191160 PMCID: PMC6125771 DOI: 10.1016/j.omtm.2018.08.002
Source DB: PubMed Journal: Mol Ther Methods Clin Dev ISSN: 2329-0501 Impact factor: 6.698
Figure 1The Vector Map
A self-inactivated (SIN) lentiviral vector was designed using a pCCL backbone, allowing the expression of a reporter protein, ΔLNGFR, a truncated form of LNGFR, under the control of PGK promoter and in the presence of a woodchuck hepatitis virus post-transcriptional regulatory element (WPRE).
Figure 2Optimization of Lentiviral Gene Transfer in CD4+ and CD8+ T Cells
(A and B) Transduction efficiency was evaluated on days 5 (D5) and 12 (D12). The transduction efficiency for CD4+ (A) and CD8+ (B) T lymphocytes are shown, with the percentage of transduced cells in the left-hand panels and the VCN on day 12 in the right-hand panels. The data correspond to three independent experiments and are represented as the mean ± SEM. **** p < 0.0001, calculated using a mixed logistic regression model, compared to PS for transduction percentage; *p < 0.05, calculated with a permutation model.
Figure 3Characterization of CD4+ and CD8+ T Lymphocytes
(A) shows the CD4+ and CD8+ T cells’ phenotype before culture and on day 5 in all five transduction settings on representative fluorescence-activated cell sorting (FACS) plot. Proportion of naive T cells (Tn), effector memory T cells (Tem), and central memory T cells (Tcm) were analyzed using the CD44 and CD62L markers. (B) The proportions of the different CD4+ and CD8+ subpopulations in all three experiments are shown after 5 days (left panels) or 12 days (right panels) of culture. No statistically significant difference was observed in the percentages of different T cell subpopulations between different conditions. We analyzed the following subpopulation: CD62L+CD44− T cells corresponding to TN/SCM for naive and stem memory T cell; CD62L+CD44+ corresponding to TCM for central memory T cell; and CD62L−CD44+ corresponding to TEM for effector memory T cell.
Figure 4Optimization of Lentiviral Gene Transfer in Sca1+ Cells
Transduction efficiency was evaluated on days 5 and 12, with the proportion of transduced cells in the left-hand panel and the VCN on day 12 in the right-hand panel. The data correspond to three independent experiments and are represented as the mean ± SEM. ****p < 0.0001, calculated using a mixed logistic regression model, compared to PS for transduction percentage; *p > 0.05, calculated with a permutation model.