The molecular mechanisms underlying sketetal and cardiac muscle remodeling in the hibernating thirteen-lined ground squirrel
Bibliographic record
Abstract
The thirteen-lined ground squirrel (Ictidomys tridecemlineatus) survives winters by hibernating, whereby body temperature (Tb) cycles between 4ºC during torpor and 37ºC during arousal.Each organ/tissue of the hibernator must make specific adjustments that allow the ground squirrel to maintain or readjust physiological function during hibernation.The remodeling that occurs in skeletal and cardiac muscle is unique to hibernators, and it is fascinating as a natural means of avoiding physiological dysfunction in these tissues.The purpose of this thesis is to evaluate the molecular mechanisms underlying muscle remodeling in both tissues.It was identified that calcium signaling activates the NFAT-calcineurin pathway, leading to increased expression of hypertrophy-promoting targets in both skeletal and cardiac muscle during torpor.In addition, we found that there is differential expression and activity of transcription factors (Foxo, MyoG) and ubiquitin ligases (MAFbx and MURF1) that promote muscle atrophy in the two tissues being studied.v years.Thanks first of all to Jan Storey, mother of dragons, although most of us in the lab are just simple hatchlings (I think there's even a few dragons who are still in their shell…).Your edits taught me what an excellent manuscript and poster should look like; you made me a better writer and researcher.Also, you are a human encyclopedia and Ken knows (even if he doesn't show it sometimes) that you are the engine that keeps the lab running.However, Sanoji W is starting to exert her dominance and take control of your dragons as their step-mother!Beware!To my dear friends in the lab, all of you have helped me improve as a researcher and as a person in one way or another.Some have provided me with constant support (even when I didn't need it), shout out to Sanoji W, Kama S, and Rasha A (the Ugly Sisters from Cinderella though you're anything but ugly).Some have changed my views and values for the better through our DMCs (Deep Meaningful Conversations), holler at Mike S (aka BFF), Bryan L (aka Luu), and Alex W (aka Abdul).Some have changed my views and values for the worse; don't worry this isn't a bad thing Sam W; I'd rather see myself live long enough to become a villain than die a hero.Also shout out to Sam L and Hanane HM for checking my privilege and commanding my respect with your hard work and dedication #thefuture.There are plenty of people I haven't gotten the chance to thank, but that doesn't mean I don't appreciate your support.I'm the type of person who is introverted and likes to keep things to himself.You might not see me as such, but trust me on this one, I wish I got to know everyone in the lab equally but I can't help but be the way I am.Sanoji W knows this better than anyone, and despite your flaws (even though you think you're flawless), I know that your meddling in my business is your way of showing that you care.For that, I will always cherish your friendship.Lastly, thank you to the undergrads in the Storey Lab as well, you know who you are! Storey Lab will always be a kid's zone, never change!I would like to thank my rowing team for motivating me, teaching me, and supporting me.You're a fun group of cats, especially when we're not waking up at 4 am to get to practice and row at freezing temperatures.Thanks to those on the team who played intramural basketball in our offseason and especially to Mikayla Arends for putting together the team, it was a blast (even if we only won one game).Thanks to Coach Ed for putting up with all the times we broke our boats and oars, and with all my missed practices when I had pneumonia.Thanks to Coach Matt Noël for teaching this novice to row.Thanks to Coach Martin Rowland for teaching me how to erg properly…somewhat (lol, bad habits are hard to correct).Special shout out to Michael Mikolainis, Jeffrey Parkhouse, and Jason Sukstorf for making the transition from Novice to Varsity with me.Also, shout out to Vince O'Shaughnessey for being my pair (that never actually raced) partner.Lastly, Darren Major, you da best.Also, fyi Ken, we do not just row around pointlessly in circles every morning, if anything we row in rectangles.Get your geometry right!Lastly, I would like to thank my parents, without whom I would not have been blessed with life, and none of this would have been possible.Thanks to my dad for being the glue that holds this family together, and to my mom for always pushing me to work harder and to reach for the stars.Thanks also to all my friends, especially those who rose up with me during our undergrad at Queen's, and my friends at UOttawa and Carleton as well.You are truly the ones who kept me sane when I felt like I was going insane, you who gave me hope when I felt hopeless.Regardless of whether or not we will be colleagues in the future, I will take every opportunity to repay you for all the kindness and support you have shown me."Be so good they can't ignore
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".