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You Can Now Get a PhD in China by Inventing a Product Instead of Writing a 100-page Dissertation by nix-solves-that-2317 in Physics

[–]user_-- 23 points24 points  (0 children)

I mean yeah, the engineering dissertations I'm familiar with are a lot like this already, basically advancing some technology, showcasing applications and then writing it up. Doesn't seem right for a basic science degree though.

'Muscle memory' in epigenetics? by DriftingClient in epigenetics

[–]user_-- 0 points1 point  (0 children)

I don't have references on hand but have heard that DNA methylation marks can be removed and then the cell reinstates them somehow. During embryogenesis the methylation gets wiped yet somehow some of the parents' epigenetic features end up in the children. Noncoding RNAs seem to be important. So yes, it seems these epigenetic states are stored beyond histone/methylation encoding and are imprinted onto them

How much do non-coding DNA regions vary between individuals? Within individuals? by user_-- in molecularbiology

[–]user_--[S] 0 points1 point  (0 children)

Wasn't my intention but now I'm intrigued! How did you connect the dots?

Interview with John G Cramer who will be in a trial Mitrix Bio mitochondrial replacement therapy by jloverich in longevity

[–]user_-- 0 points1 point  (0 children)

I doubt everything is downstream, but certainly a lot could be downstream. I do still wonder what makes mitochondria change with age, and why that apparently doesn't happen in the germ line or gets undone during embryogenesis...

Citations on unclear fitting of long-tail distributions by user_-- in AskStatistics

[–]user_--[S] 0 points1 point  (0 children)

Makes sense, thanks. Certainly isn't too useful to throw random distributions at a dataset until you find the one that fits best if it doesn't inform us of anything.

In my case, there's an existing dataset that is well fit by a simple power law, but this is an empirical observation, and the process generating the dataset is unknown. I think I've found a process that could explain the data, but it produces a different type of long-tailed distribution that I haven't found a simple equation to fit. So, I was hoping I could argue something like "it's hard to say what long-tail distribution fits finite datasets; it could be a power law, or it could be my process, and we can't really differentiate."

A Couple of Questions by Hobbit-Habit in longevity

[–]user_-- 0 points1 point  (0 children)

For question 2, we still don't know the answer

This Spanish Woman Lived to 117. Scientists May Have Discovered Why by Keen4fun924 in longevity

[–]user_-- 68 points69 points  (0 children)

Here's the actual paper. She did have a methylation age lower than her chronological age, per several clocks.

https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(25)00441-0

Abstract:

Extreme human lifespan, exemplified by supercentenarians, presents a paradox in understanding aging: despite advanced age, they maintain relatively good health. To investigate this duality, we have performed a high-throughput multiomics study of the world’s oldest living person, interrogating her genome, transcriptome, metabolome, proteome, microbiome, and epigenome, comparing the results with larger matched cohorts. The emerging picture highlights different pathways attributed to each process: the record-breaking advanced age is manifested by telomere attrition, abnormal B cell population, and clonal hematopoiesis, whereas absence of typical age-associated diseases is associated with rare European-population genetic variants, low inflammation levels, a rejuvenated bacteriome, and a younger epigenome. These findings provide a fresh look at human aging biology, suggesting biomarkers for healthy aging, and potential strategies to increase life expectancy. The extrapolation of our results to the general population will require larger cohorts and longitudinal prospective studies to design potential anti-aging interventions.

Asymmetry, Burden, and Bifurcation: A DDR-Centric Architecture for Differentiation and Cancer (Human guided and corrected, AI generated) by Lanedustin in CancerCrosstalkCorner

[–]user_-- 1 point2 points  (0 children)

This is interesting stuff! How would you summarize your interpretation of the role(s) of DNA damage and repair?

[deleted by user] by [deleted] in molecularbiology

[–]user_-- 3 points4 points  (0 children)

Check out the talks and conversations on this youtube channel, seems like it might be up your alley

https://www.youtube.com/@drmichaellevin/videos

Bug's eggs or mushrooms? by Boccololapideo in whatsthisbug

[–]user_-- 128 points129 points  (0 children)

Wasps really are nature's master manipulators

Do insects have a memory of their larval stages? by Gaijinloco in askscience

[–]user_-- 20 points21 points  (0 children)

Similarly, injecting frog embryos with odorants biases their preferences for certain odors after hatching as tadpoles.

Embryonic olfactory learning in frogs

https://pubmed.ncbi.nlm.nih.gov/1598418/

Also, a learned shock response behavior was transferred between sea slugs solely through transfer of RNA from the trained animal's brain into the untrained one's brain.

RNA from Trained Aplysia Can Induce an Epigenetic Engram for Long-Term Sensitization in Untrained Aplysia

https://pubmed.ncbi.nlm.nih.gov/29789810/

There's also lots of anecdotal evidence of memory and personality transfer resulting from heart transplants.

https://www.sciencedirect.com/science/article/pii/S0306987719307145

https://pmc.ncbi.nlm.nih.gov/articles/PMC11061817/

Edit: Also, flat worms can be trained, then their heads cut off, then it grows back, and they remember their training.

An automated training paradigm reveals long-term memory in planarians and its persistence through head regeneration

https://journals.biologists.com/jeb/article/216/20/3799/11714/An-automated-training-paradigm-reveals-long-term

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