Improved Suicide Gene Therapy: Lentiviral Gene Transfer of Equine Herpes Virus Type 4 Thymidine Kinase into Target Cells.
Notice bibliographique
Résumé
Abstract Herpes virus type 1 thymidine kinase (HSV1-TK) with ganciclovir (GCV) prodrug treatment is the most widely used approach for suicide gene therapy. This ‘suicide’ strategy allows direct reduction of tumors and clearance of donor cells should graft-versus-host disease (GvHD) arise after bone marrow transplantation. Given recent clinical outcomes, this suicide approach may also provide a key safety component for therapeutic gene transfer vectors that integrate. Although suicide gene therapy using HSV1-TK-encoding oncoretroviral vectors has been evaluated in the clinic, the success of this approach has been relatively modest. Reasons for this include: low gene transfer efficacy, reduced expression of the suicide gene, and insufficient conversion of substrate. Our goal is to overcome these limitations by using a novel lentiviral vector (LV) encoding an alternative kinase/prodrug combination. The rational for our innovative suicide gene therapy strategy is two-fold: 1) Lentiviral vectors can efficiently transduce not only dividing cells but also non-dividing cells. 2) Applying a faster viral enzyme like equine herpes virus type 4 thymidine kinase (EHV4-TK) could be advantageous as it has been shown to be kinetically superior to HSV1-TK at GCV phosphorylation. The aim of this study is to evaluate whether LV-mediated gene modification of target cells with EHV4-TK can lead to efficient killing following GCV treatment. We first constructed a LV expression system carrying the wild-type EHV4-TK cDNA with an IRES element followed by a truncated form of human CD19 (hCD19Δ). Human CD19 was chosen as a cell surface marker to allow functional titering of virus and for immuno-enrichment of transduced cells prior to infusion since it is not expressed in the T cell lineage. The truncated form lacks the intracellular domain and therefore does not signal. Use of an IRES element can abrogate some variegated expression seen with vectors having dual promoters. The LV was pseudotyped with VSV-g and concentrated by ultracentrifugation. After one infection, Jurkat cells (human T cell leukemia) showed a more than 80% functional and stable transduction efficiency (MOI = 10). Using hCD19Δ as a selective marker, transduced Jurkat cells were enriched to over 95% positive by immuno-affinity sorting. EHV4-TK-transduced Jurkat cells exhibited increased cell killing in response to GCV treatment (the apoptotic cell indexes with or without GCV were 69.4 ± 1.5 % and 18.8 ± 1.7 %, respectively; n=3). Highly efficient transduction (more than 60%) of primary human T cells was accomplished by a three time exposure to virus over 36 hours at MOI of 20. Next, we found that GCV efficiently killed transduced primary human T cells in a dose dependent manner. We are now comparing the efficiency of GCV conversion by HSV1-TK and EHV4-TK using LV-transduced cells that express the similar protein levels. We are also evaluating intracellular levels of GCV metabolites by HPLC. These results demonstrate that our novel suicide gene therapy strategy has significant potential for many clinical applications.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».