Regulation and Modification of Peripheral Circadian Molecular Clocks in 13-Lined Ground Squirrels during Hibernation.
Notice bibliographique
Résumé
During winter, hibernators are able to conserve energy during times of limited resources through the virtual cessation of energetically expensive processes that are thought to be intrinsic to the cell in homeostasis.During prolonged hibernation, these mammals, such as the 13-lined ground squirrel (Ictidomys tridecemlineatus), shut down the bulk of transcription and translation in order to preserve resources yet still require the expression of subsets of genes to assist with the challenges encountered during hibernation.Hibernators provide a unique opportunity for examining the dynamics of circadian clock activation in a system that requires the selection of groups of transcripts against a backdrop of suppressed cellular activity.This research shows that peripheral circadian clocks are regulated and have adapted to function in a tissue-specific manner that is congruent with the tissues functions during hibernation.In addition, substantial transcriptional and post-transcriptional machineries are required to endure deep torpor and low body temperature, including increased regulation over genomic activity by epigenetic enzymes.Both RNA adenosine and protein arginine methylation act to regulate activity within the circadian clock via epigenetic mechanisms and provide novel opportunities to uncover information about the post-translational modifications used during hibernation.RNA N6-methyladenosine (m6A) dynamics were maintained during hibernation and levels of m6A were increased on mRNA transcripts during torpor in liver.Responses by protein arginine methyltransferase (PRMT) enzymes were tissue-specific and within liver and white adipose, revealed responses that characterized metabolic reprogramming, whereas skeletal muscle PRMT activity was centered around transcriptional regulation.This research suggests that dynamic epigenetic I first, foremost, and most-respectfully want to thank Dr. Kenneth B. Storey and Janet Storey for their thankless, amazing, and continuous support and guidance throughout my graduate career.I have no doubt that without their help, I would not be in the position I am in today.My family, biological or otherwise: you have supported me through thick and thin and through the hardest of times no matter what stood in the way.I am infinitely grateful to you.An unluckier and much less fortunate version of myself would not have had the luck to have landed in such a great lab, surrounded by some of the greatest graduate and undergraduate students Carleton has known.I want to thank all the current members of the lab, especially those who contributed to the thoughts and discussions required to make this work a reality; Rasha, Hanane, Sam, Liam and Stuart -you guys rock!There were even some people who I wasn't able to spend an entire six(!) years with but still greatly impacted my graduate life and made the Storey lab a great place to work: Bryan, Michael, Christie, Sanoji, Zephanie, and Jessica -THANKS.I must of course also thank those people who were not involved in my daily life in the lab but still gave me a reason to cheer.As I embark on a career in law I am reminded that people like Jeff Sessions and Bob Mueller should get a shout-out for making his life a misery; BoJo for being a "conservative I would think about," and oh sure, Nancy Pelosi and the squad, I guess, for being awesome.vi
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) | 0,002 | 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 ».