<b>I</b> mpact of loss or regain of Equilibrative Nucleoside Transporter (ENT) Subtype‐1 on ENT Subtype‐2 pharmacology in a Novel CRISPR‐Cas9 HEK293‐ENT1KO Cell Model
Notice bibliographique
Résumé
Background Equilibrative nucleoside transporters (ENT) mediate the transmembrane flux of endogenous nucleosides and nucleoside‐analog drugs that are used to treat cancers and viral infections. Of the two major ENT subtypes (ENT1, ENT2), ENT1 has been studied the most due to its relative predominance in tissues, and the availability of the highly selective ENT1 inhibitor, nitrobenzylthioinosine (NBMPR). In contrast, there is much less information on how drugs interact with ENT2 or factors that affect ENT2 expression. This is because ENT2 is always expressed concomitantly at lower levels with ENT1, and there is no selective ENT2 inhibitor available. Given the emerging evidence suggesting that ENT2 has distinct physiological roles from ENT1, it is critical that its functional characteristics and modes of regulation are better defined in its native environment. To address these knowledge gaps, we removed ENT1 from Human Embryonic Kidney cells (HEK293) via CRISPR‐Cas 9, creating a cell line that has ENT2 as the only functional ENT in the cells (HEK293‐ENT1KO). Objectives To confirm that any changes observed in the HEK293‐ENT1KO cells were due to the removal of ENT1, we have introduced recombinant ENT1 back into these cells and assessed the function and expression of the endogenous ENT2. Methods Stable transfection of MYC‐ENT1 in pcDNA3.1 was conducted in HEK293‐ENT1KO cell line using calcium phosphate precipitation method and stable clones selected with G418(Geneticin) . Transporter function was assessed through measurement of the initial rates of [ 3 H]2‐chloroadenosine uptake (2.5–300µM). K i values for inhibitors were defined using the IC 50 derived from concentration‐response curve analyses and the Km of [ 3 H]2‐chloroadenosine for ENT2 determined in this model. The presence or absence of ENT1 was determined based on the binding of [ 3 H]NBMPR. Protein levels were assessed by immunoblotting using ENT‐specific antibodies and changes in expression of metabolic genes involved in de novo synthesis of nucleosides were examined by qPCR. Data are expressed as mean±SEM. Results MYC‐ENT1‐HEK293‐ENT1KO had a similar level of ENT2 uptake (K m ‐32µM±9.7, V max ‐0.6pmol/µl/s±0.1) as wild‐type (WT) HEK293 (K m ‐19µM±1.2, V max ‐0.7pmol/µl/s±0.3) and HEK293‐ENT1KO (K m ‐25µM±17, V max‐ 0.6pmol/µl/s±0.1). In contrast, kinetic profile of the MYC‐ENT1 transfected model showed significant higher ENT1‐mediated uptake (K m ‐97µM±68, V max ‐11pmol/µl/s±9.1) than that observed in the WT‐HEK293 (K m ‐90µM±27, V max ‐3.6pmol/µl/s±2.4). Also, the number of [ 3 H]NBMPR binding sites were also found to be higher in the transfected model. The complete regain of ENT1 in MYC‐ENT1‐HEK293‐ ENT1KO cell model was further confirmed in protein and gene expression studies. However, the presence of recombinant ENT1 did not change the endogenous ENT2 protein expression. Loss of endogenous ENT1 showed no changes in gene expression levels of other transporters or metabolic enzymes except NT5E (5′‐Nucleotidase Ecto) which reduced significantly. Conclusion Our data suggest that neither removing endogenous ENT1 from HEK293 cells nor introducing recombinant ENT1 in the HEK293‐ENT1KO model impacts the expression or function of ENT2.
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 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) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 ».