Control of selective mRNA translation over the torpor-arousal cycle of thirteen-lined ground squirrels
Notice bibliographique
Résumé
Mammalian hibernation is an interesting adaptation that allows many capable animals like the thirteen-lined ground squirrel to endure the winter months on a low or absent food supply.Metabolic suppression during hibernation is facilitated by diverse biochemical mechanisms including the global shut-down of energy expensive processes like transcription and translation, the use of post-translational modifications to regulate protein activity, and differential gene/protein expression of essential protein products. Differential protein expression can occur during hibernation, but it remains incompletelyunderstood how transcripts are "chosen" to be translated instead of stored or degraded.This thesis explores two mechanisms that may regulate differential gene and protein expression during hibernation, including RNA-binding protein (RBP) stabilization and transport of transcripts, and translation machinery activation.Notably, RBPs and cap-dependent translation factors were upregulated over the torpor-arousal cycle.These results suggest a possible role for proteins that regulate mRNA stability and enhance translation during metabolic suppression.freedom to investigate the story that is my thesis, having confidence in my ability to take on several side projects and writing tasks on top of my thesis, and for subtly hinting when it was a good time to stop working on arduous projects, but giving me the time to make the decision to quit them on my own.My time in your lab has made me a more confident and deliberate scientist, mentor, and writer, and I am extremely grateful for the opportunities that you have supported me in pursuing.I'd also like to thank Jan Storey for meticulously editing this thesis as well as the manuscripts that I was able to publish (and not be embarrassed by) over the past 2 years.Although I have learned so much from your comments, I know I have a long way to go until my writing is as precise and flawless as yours.Thank you for being such an excellent mentor and role model for my writing and editing.Thanks to all Storey lab members for your academic support throughout the years.It has been fun debating everything from biochemistry theory to news stories, and I have learned so much from you all.Special thanks to Bryan Luu for continuing to answer my questions throughout my MSc.The example you have set in terms of your leadership, integrity, and scientific knowledgebase has taught me to push my boundaries in order to put my potential to the test and how to become a better scientist.Last but not least, I'd like to thank my "common-law husband", Ryan Deslauriers, for listening to me read out my writing for hours-on-end of editing, giving me feedback on my practice presentations before major conferences, and easing
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 | 0,000 |
| 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) | 0,001 | 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 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 ».