Red Fluorescent Protein pH Biosensor to Detect Concentrative Nucleoside Transport
Notice bibliographique
Résumé
Human concentrative nucleoside transporter, hCNT3, mediates Na ؉ /nucleoside and H ؉ /nucleoside co-transport.We describe a new approach to monitor H ؉ /uridine co-transport in cultured mammalian cells, using a pH-sensitive monomeric red fluorescent protein variant, mNectarine, whose development and characterization are also reported here.A chimeric protein, mNectarine fused to the N terminus of hCNT3 (mNect.hCNT3),enabled measurement of pH at the intracellular surface of hCNT3.mNectarine fluorescence was monitored in HEK293 cells expressing mNect.hCNT3or mNect.hCNT3-F563C,an inactive hCNT3 mutant.Free cytosolic mNect, mNect.hCNT3,and the traditional pH-sensitive dye, BCECF, reported cytosolic pH similarly in pH-clamped HEK293 cells.Cells were incubated at the permissive pH for H ؉ -coupled nucleoside transport, pH 5.5, under both Na ؉ -free and Na ؉ -containing conditions.In mNect.hCNT3-expressingcells (but not under negative control conditions) the rate of acidification increased in media containing 0.5 mM uridine, providing the first direct evidence for H ؉ -coupled uridine transport.At pH 5.5, there was no significant difference in uridine transport rates (coupled H ؉ flux) in the presence or absence of Na ؉ (1.09 ؎ 0.11 or 1.18 ؎ 0.32 mM min ؊1 , respectively).This suggests that in acidic Na ؉ -containing conditions, 1 Na ؉ and 1 H ؉ are transported per uridine molecule, while in acidic Na ؉ -free conditions, 1 H ؉ alone is transported/uridine.In acid environments, including renal proximal tubule, H ؉ /nucleoside co-transport may drive nucleoside accumulation by hCNT3.Fusion of mNect to hCNT3 provided a simple, self-referencing, and effective way to monitor nucleoside transport, suggesting an approach that may have applications in assays of transport activity of other H ؉ -coupled transport proteins.Nucleosides are hydrophilic molecules that require transport proteins to mediate their movement across the plasma membrane (1).Human (h) 7 nucleoside transport (NT) proteins catalyze the vectorial transport of nucleosides, using either concentrative (C) or equilibrative (E) mechanisms (2).hCNTs use either a Na ϩ or H ϩ gradient to accumulate nucleosides against their concentration gradient, whereas hENTs mediate facilitated diffusion of nucleosides down their concentration gradient (3).Nucleoside transporters also transport anti-cancer and anti-viral drugs, and cellular expression of nucleoside transporters is important in cancer therapy as well as in the treatment of cardiovascular, parasitic, and viral diseases (4, 5).Members of the SLC28 family of concentrative nucleoside transporters (CNTs) divide into two phylogenetic subfamilies: hCNT1/2 belonging to one subfamily, and hCNT3 to the other (6 -8).Cation substitution and charge/flux ratio studies suggest that hCNT1/2 couple the inward movement of nucleoside to the Na ϩ electrochemical gradient with a 1:1 stoichiometry, whereas hCNT3 can couple nucleoside transport to either the Na ϩ gradient (2 Na ϩ :1 nucleoside) or a H ϩ gradient (1 H ϩ :1 nucleoside) in the absence of Na ϩ (9, 10).The 2:1 coupling ratio of hCNT3 allows it to develop a trans-membrane nucleoside concentration gradient up to 10-fold higher than that of hCNT1 or hCNT2 (9, 11).At pH 5.5, hCNT3 also transports uridine in the presence of Na ϩ with a 2 cation:1 nucleoside stoichiometry, which raises the possibility that 1 H ϩ and 1 Na ϩ may be transported per nucleoside molecule in these conditions (9 -12).Up to this point, however, there has been no direct demonstration that hCNT3 can transport H ϩ .Concentrative nucleoside transport has previously been investigated using the Xenopus laevis oocyte expression system and both electrophysiology (two-microelectrode voltage clamp technique) and radioisotope flux measurements (6 -9, 12).Electrophysiological experiments are advantageous in that they
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».