[new preprint] Inherited biological codes that are NOT stored in DNA and NOT epigenetic

Did you know that there are inherited biological codes that are NOT stored in DNA and that are NOT epigenetic modification on DNA?

[I suspect that the effect of microgravity on cell and organ morphology may reveal some interesting insights into these codes. Numerous studies have shown that microgravity affects plant morphology and animal cell morphology, though they are not discussed in this preprint.]

I’m excited to announce that we (+ @danielegos) have updated my paper describing Heritable Nongenetic Information (HNI, pronounced “honey”), a concept that describes various types of codes in biology that are inherited but are not stored in DNA.

We refined the definition of HNI and included a figure and table showing the difference between HNI and previous concepts, such as: Nongenetic Information (NGI) which includes transmitted molecules and taught behaviors; and Inherited Gene Regulation (IGR), which refers to epigenetic modifications.

We also added a section explaining the benefits of cracking 2D and 3D codes for biomedical discoveries.

Most of the paper provides evidence for the “Tissue Spatial Code” that affects wound healing, limb regeneration, and cancer development apart from the instructions in DNA. We also provide evidence of HNI that affects protein structure.

The preprint is hosted on ArXiv, but a PDF is here:
https://drive.google.com/file/d/14ythXHbC9O23hlCYt6sgQlpIfzic20gW/view?usp=sharing

@ALSDAawg @lauren.sanders @asaravia @stefania.giacomello @MultiOmicsAWG

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Here is a paper by @anarayan09 about the affect of microgravity on cell morphology!

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@dave
Impressive work! I reviewed your perspectives, and I’m curious—why not design a study to explore whether microgravity has an effect on HNI?"
There is a hypothesis that " Microgravity alters Tissue Spatial Codes (TSCs) by disrupting bioelectric fields, ECM organization, nuclear architecture, and chromosome docking sites, leading to unexpected or reversible changes in cellular and organ morphology."
If HNI is a fundamental biological mechanism, cells and tissues should either compensate for or fail to recover from the loss of gravitational cues.
I might have some suggestions to design such a study!

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Thank you Dave, very interested in this topic! Do you have a link to the paper on arXiv? The arXiv ID at the top of the PDF brings up a different paper ([2210.01731v2] Semi-ampleness of NQC generalized log canonical pairs) :slight_smile:

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Hi Lauren, Glad you’re interested. Let me know if you’d like to work on something together.

I must’ve typed in the ID wrong.

Here is a directly to the page on ArXiv: [2110.01731] Heritable Nongenetic Information That is Independent of DNA and That Governs Organismal Development, Tissue Regeneration, and Tumor Architecture

Best

Dave

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Hi Amin, you are right on. Perhaps you can write up a hypothesis paper that outlines experiments. This can become a future grant proposal. My email is dave@tsg-lab.org. Best, Dave

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Hi @Aminkhazeei and @lauren.sanders , If you know the authors of this paper, it might be interesting to analyze he shape of bone caverns. I hypothesize that osteoporosis due to microgravity is morphologically distinct from osteoporosis on earth, which has implications about (1) where bones are likely to break in space vs on earth, and (2) how best to reinforce bones in microgravity vs on earth.

37-Day microgravity exposure in 16-Week female C57BL/6J mice is associated with bone loss specific to weight-bearing skeletal sites

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Thank you for your guidance. So should I write a hypothesis paper on this topic?

Hi Dave,

Very interesting hypothesis! You may already know that this paper has data in OSDR: NASA OSDR: Open Science for Life in Space So you could potentially perform some analysis to accompany your hypothesis.

Hi @Aminkhazeei , Feel free to do so. I’d be happy to give my feedback on it, but I don’t have time to write it with you.

Hi @lauren.sanders , Thanks for letting me know. I don’t have the bandwidth to explore NASA OSDR (to be honest, I’ve never even downloaded anything from there yet), so if someone is willing to explain how the data is structured, I can collaborate by explaining what to measure and how. I can also help do the measurements and analyze the data, but I need significant participation from collaborators. I’m already working on other projects that need more attention from me.