601. An Optimized Approach to Non-Viral Transfection of Brain Tumor Initiating Cells Derived from Embryonal Tumor with Multilayered Rosettes Using Cationic Reagents
Notice bibliographique
Résumé
Embryonal tumor with multilayered rosettes (ETMR) is an aggressive type of primitive neuroectodermal brain tumors of the central nervous system that occur primarily in infants and young children. Despite intensive therapy, prognosis is extremely poor with typical survival outlook of <1 year after diagnosis. Resistance to conventional chemo/radiation therapy among ETMR patients has been attributed to the resilience and resurgence of a sub-population of “brain-tumor initiating cells” (BTIC) within the tumor mass. These BTICs are a type of cancer stem cell with the capacity for long-term self-renewal, multi-lineage differentiation, and tumor formation. To better understand the pathogenesis of ETMR and develop effective therapies against this disease, we have previously established and characterized a BTIC cell line (BT183) with molecular signatures and tumor-initiating properties that are hallmarks of ETMR. However, BTICs have so far proven difficult to transfect at high efficiency, making them refractory to genetic manipulation approaches. Here, we describe an optimized approach to transfect BTICs using cationic reagent. We initially tried transfecting BT183 with Lipofectamine-2000 according to manufacturer's suggested protocol, but were not able to get any GFP+ cells. Because Lipofectamine is formulated with a multivalent cationic lipid, one rate-limiting factor could be its susceptibility to serum inactivation. While BTICs are cultured in a defined, serum-free neural stem cell-promoting media, the presence of growth factors and additives (e.g. EGF, bFGF, heparin) may interfere with the maturation and stability of lipoplexes. To test this hypothesis, we incubated lipoplexes in different preparations of the NeuroCult™-XF Proliferation media, each devoid of one or more of the required additives. We then assayed for complex stability using SYBRSafe, an intercalating dye that binds to the minor grooves of free DNA more efficiently than the condensed form of complexed DNA. We noted that the fluorescent intensities of the complexes were significantly higher (1.2x) in media with EGF, bFGF, heparin, suggesting DNA may be partially dissociated in the presence of these additives. We then transfected cells in the different media preparations and saw that only transfection carried out in media devoid of heparin/growth factors had GFP+ cells. While the number of GFP+ cells were too few to quantitate at this stage, we noted that there were more GFP+ at lower seeding densities, but the GFP+ cells were mostly buried among non-transfected cells as neurospheres. We postulated that the tendency for these BTIC to aggregate in a density-dependent manner may interfere with the efficient binding and uptake of lipoplexes; hence methods to prevent them from sticking to each other during transfection might enhance efficiency. We therefore tried attaching them using a number of cell attachment methods (i.e. gelatin, PEI, CELLSTAR). Only CELLSTAR was able to facilitate uniform cell attachment without causing significant cytoxicity. When we eventually transfected BTIC attached to CELLSTAR-treated tissue culture plates in media without heparin or growth factors, we saw a remarkable increase in transfection efficiency with up to 24% of the cells being GFP+. In summary, we showed here that BTICs can be efficiently transfected using cationic reagent by temporarily remove media components that are otherwise inhibitory to transfection and by adapting cell culture format to one that is more conducive to the binding and uptake of DNA complexes. The approaches outlined here may be adapted to other hard-to-transfect suspension cultures such as lymphocytes and leukemic cells.
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 ».