The effect of brn3a and zhangfei on the nerve growth factor receptor, trkA.
Notice bibliographique
Résumé
Herpes simplex viruses (HSV) establish latent infections in sensory neurons of their host and are maintained in this state by little understood mechanisms that, at least in part, are regulated by signalling through nerve growth factor (NGF) and its receptor tropomyosin related kinase, trkA.Previous studies have demonstrated that Zhangfei is a transcriptional factor that is expressed in differentiated neurons and is thought to influence HSV replication and latency.Zhangfei, like the HSV trans-activator VP16 and Luman, binds the ubiquitous nuclear protein host cell factor (HCF) inhibiting the ability of VP16 and Luman to initiate HSV replication.Recently, Brn3a, another neuronal factor thought to influence HSV latency and reactivation was found to possess an HCF-binding domain and could potentially require HCF for activity.The neuronal POU IV domain protein, Brn3a, among its many regulatory functions has been described as an enhancer of the NGF receptor trkA, during development in mouse.I therefore investigated the possible link between Brn3a, TrkA, NGF signaling, HCF, Zhangfei and HSV-1 latency and reactivation.I hypothesized that Zhangfei would also suppress the ability of Brn3a to activate the expression of TrkA and that this would have an impact on NGF-TrkA signaling and, consequently on HSV-1 reactivation from latency.My first study determined which Brn3a/trkA promoter interactions were important for trkA transcription.I constructed a plasmid that contains 1043 base pairs of genomic sequences that extend from 30 nucleotides upstream of trkA coding region.In contrast to previous data, a short 190 bp region that lies proximal to the trkA initiation codon was sufficient for Brn3a trans-activation in NGF-differentiated PC12, Vero and human medulloblastoma cells.At least two portions of the 190 bp fragment bind to Brn3a.In addition, Brn3a increased infected cells, supporting the hypothesis that Zhangfei is a mediator of trkA-NGF signaling in theses cells leading either to differentiation or apoptosis.Binding of HCF by Zhangfei did not appear to be required for this effect as a mutant of Zhangfei incapable of binding HCF was also able to induce the expression of trkA and Egr1.In in vivo and in vitro models of HSV-1 latency, the virus reactivates when NGF supply to the neuron is interrupted.Based on the above evidence Zhangfei, in HSV-1 latently infected neurons, would have the ability to prolong a state of latency by inducing trkA expression allowing the activation of NGF-trkA signaling pathway.Since NGF is produced by many cell types it is possible that reactivation is triggered not by a decrease in NGF but by a down-regulation of TrkA expression.Therefore, if Zhangfei expression is suppress the trkA signaling could be interrupted or shifted towards apoptosis signaling, this would allow neuronal HCF-binding proteins like Luman, which can activate HSV IE expression, to initiate HSV IE expression and subsequently viral replication.
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) | 0,000 | 0,001 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».