In Vivo Generation of Dendritic Cells by Intramuscular Codelivery of FLT3 Ligand and GM-CSF Plasmids
Notice bibliographique
Résumé
Dendritic cells (DCs) are the major cells responsible for the uptake and the transport of antigens to regional lymphoid tissues and for the presentation of antigenic peptides to T cells. They are highly effective in immunotherapy. However, in lymphoid and other tissues, DCs constitute only a small population and are difficult to isolate in large numbers. Our objective was to devise a method with which to rapidly expand splenic DCs in vivo. We accomplished this by intramuscular injection of plasmids encoding mouse granulocyte-macrophage colony stimulating factor (GM-CSF) and fms-like tyrosine kinase 3-ligand (FLT3-L). Gene transfer was amplified by electroporation. Both cytokine vectors significantly increased DC numbers, but they were more effective in combination. When either control plasmid (Blank), or FLT3-L or GM-CSF expression plasmids were injected individually, the mean numbers of CD11c+/MHC II+ DCs in spleen cell suspensions were, respectively, 6, 11, and 23 million. When FLT3-L and GM-CSF plasmids were codelivered, this increased to 36 million. Peak levels occurred 7 days postinjection of DNA. To further characterize these DCs, we stained them with myeloid (CD11b, F4/80)- and lymphoid (CD8α)-related markers. FLT3-L cDNA favored lymphoid DC expansion and GM-CSF cDNA favored myeloid DC expansion, whereas combined treatment expanded both types with a myeloid predominance. We confirm the ability of these DCs to present antigen to CD4+ T cells and to stimulate in mixed lymphocyte cultures. We demonstrate that DCs can be rapidly expanded by this simple gene transfer method, which has numerous potential applications. Dendritic cells (DCs) are the major cells responsible for the uptake and the transport of antigens to regional lymphoid tissues and for the presentation of antigenic peptides to T cells. They are highly effective in immunotherapy. However, in lymphoid and other tissues, DCs constitute only a small population and are difficult to isolate in large numbers. Our objective was to devise a method with which to rapidly expand splenic DCs in vivo. We accomplished this by intramuscular injection of plasmids encoding mouse granulocyte-macrophage colony stimulating factor (GM-CSF) and fms-like tyrosine kinase 3-ligand (FLT3-L). Gene transfer was amplified by electroporation. Both cytokine vectors significantly increased DC numbers, but they were more effective in combination. When either control plasmid (Blank), or FLT3-L or GM-CSF expression plasmids were injected individually, the mean numbers of CD11c+/MHC II+ DCs in spleen cell suspensions were, respectively, 6, 11, and 23 million. When FLT3-L and GM-CSF plasmids were codelivered, this increased to 36 million. Peak levels occurred 7 days postinjection of DNA. To further characterize these DCs, we stained them with myeloid (CD11b, F4/80)- and lymphoid (CD8α)-related markers. FLT3-L cDNA favored lymphoid DC expansion and GM-CSF cDNA favored myeloid DC expansion, whereas combined treatment expanded both types with a myeloid predominance. We confirm the ability of these DCs to present antigen to CD4+ T cells and to stimulate in mixed lymphocyte cultures. We demonstrate that DCs can be rapidly expanded by this simple gene transfer method, which has numerous potential applications.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».