model organisms like C. elegans, broadly related to some axis of growth/use energy now versus protect/conserve/repair for the future. But when we think about the various "hallmarks" or types of damage in aging, to what extent do different organisms share primary damage mechanisms
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Replying to @AdamMarblestone @TejasReal and
, and can this be quantified. For example, if C. elegans is 95% through its short lifespan, does its per-cell lipofucin content, probability of senescence, or absolute degree of epigenetic deregulation (e.g., differences in states of histones or expression levels of genes or
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Replying to @AdamMarblestone @TejasReal and
methylations of CpGs versus young animals) look similar to a human 95% through its long lifespan? 2) What is known about the damage-restoration matrix: if I repair damage type X, does it automatically repair/restore damage type Y? For the various "hallmarks" and more specific
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Replying to @AdamMarblestone @TejasReal and
subdivisions of damage types. Maybe most importantly, per Laura, if we reprogram epigenetics w/ Yamanaka type factors, which other types of damage automatically go away, and which don't? I feel like if I understood the answers to those, I'd have understood something about aging.
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Replying to @AdamMarblestone @TejasReal and
Wouldn't http://Turn.bio address this? They claim to address most if not all hallmarks via reprogramming. The SENS style hallmarks (lipofuscin accumulation or crosslinks in the extracellular matrix) are something they don't say they address, and I don't remember having
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Replying to @ArtirKel @AdamMarblestone and
seeing the Ocampo and other papers addressing this, I was expecting more work since the 2016 doxycyclin paper but surprisingly, other than the optic nerve regeneration one, there hasn't been that much
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Replying to @ArtirKel @AdamMarblestone and
Now I feel like I've disappointed you, which will keep me motivated to address the further questions !
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Replying to @ArtirKel @TejasReal and
Excited to read it in full! And finding gaps in the literature feels useful here...
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Replying to @AdamMarblestone @TejasReal and
It's also an artifact of how I did topic selection, I started with some vague priors and then those themes I kept seeing over and over, and the metrics people were looking at informed my later selection of things to look at, iteratively, and your Qs were not very frequent
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Replying to @ArtirKel @TejasReal and
They seem weirdly infrequent. Maybe will understand more about why when I read this.
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The good thing is: once we can measure and perturb everything in bio, these questions will just fall out... :-)
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Replying to @AdamMarblestone @TejasReal and
re that you'll find Table 2 here potentially interesting https://sci-hub.tw/https://www.sciencedirect.com/science/article/abs/pii/S1471491416300533 …
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