Notice bibliographique
Résumé
Background: Many human diseases lack validated animal models, hampering translational progress in several important disease areas. New and improved models can often be developed by recapitulating phenotypes related to those associated with human diseases. Objectives: Our lab has been interested in generating and characterizing several transgenic (Tg) animal models. These Tg animals were used to explore, on the cellular and molecular levels, the pathological mechanisms underlying several diseases, including immunological, neurodegenerative diseases, viral infections, cardiovascular disease, and cancer. Methods: Transgenes construction, analyzing techniques, and generation of Tg mice are as described in literature. Results: Examples of research projects that utilized animal models in our lab include: - Infectious diseases such as the acquired immunodeficiency syndrome (AIDS), which is caused by the human immunodeficiency virus type 1 (HIV-1). HIV-1 causes disease only in humans and chimpanzees. Thus, a major obstacle to explore the cellular and molecular mechanisms by which HIV-1 acts in vivo and to study how HIV-1 causes disease has been the lack of a small and cheap animal model. However, we have overcome the block to disease induction in rodents by generating Tg mice that express HIV-1 in the same immune cells that are normally infected in AIDS patients. These mice develop a severe AIDS-like disease leading to early death. Several pathological phenotypes, remarkably similar to those observed in HIV-1 infected individuals, were found. These included signs of growth retardation and wasting, atrophy of all lymphoid organs, preferential loss of CD4+ T cells, and interstitial nephritis and pneumonitis. More details will be presented. - Cancers such as leukemia and lymphoma as caused by murine leukemia viruses (MuLV) in inoculated mice. Their proviruses integrate in the vicinity of various genes involved in growth regulation, and act as insertion mutagens. We are using this retroviral insertion mutagenesis approach to identify novel oncogenes involved in T- or B-cell lymphomas induced by various MuLVs. We have succeeded in identifying novel oncogenes responsible for the onset of cancer. Among these oncogenes are members of Notch family, which are now under intense investigation to understand their role in inducing cancer. The details of these studies will be presented. Conclusions: It is likely that these novel Tg models will prove valuable in evaluating new pharmacological drugs, vaccines and disease therapies.
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 | 0,001 | 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 | 0,001 | 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 | 0,001 |
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 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 ».