u/Lanedustin

Some thoughts on the Origin of Life

Hello everyone.

I spent some time working on a partial submission for the Evolution 2.0 Origin of Life Prize and had some insights that could be of value to the community, and are very cool. It was not eligible, so I retracted the submission and figured I'd provide some of the insights here.

As I see it, the question comes down to 2 things: Explain prebiotic life to RNA, then RNA to DNA.

Both are easy to conceptualize with the correct framing, so I built the model and rationale. Essentially the core insight for the first part is that cell metabolism fundamentally runs on nucleotides and/or derivatives. Outlined in more detail below. Not just ATP/GTP, but NAD/FAD, SAM, etc. This couples the function to the physical association with the genetic material.

The second part is easier than expected to explain with the correct framing. This question becomes, how can the cell productively write its environment into the genome? My research has afforded some insights here and the paper goes into more detail.

This comes down to the writers of the code that can write dinucleotides, trinucleotides, etc. Their activity is context dependent, therefore the conditions of the writing are dependent on that context. And they do not just write sequence, they write structural capacity. Thinking of DNA/RNA outside of structural context is akin to only looking at the primary sequence of a protein.

The second frame for part 2 is from the immune system. The pathology focus removed, it looks like the immune system can be thought of as productive integration of environmental conditions into the genome/epigenome. The capacity is established in the extant system.

Here is the final section of the paper with more detail if anyone has an interest. I am not saying this is a complete picture, but I think it is really cool.

  1. Conclusion

One system, written in nucleotides. [Interpretation] The genetic material is nucleic acid, and the same nucleotides that spell it out are, pervasively, the carriers that run metabolism. The cell’s energy currency is the ribonucleoside triphosphates (ATP, GTP, CTP, UTP); its redox currency is nucleotide-based (NAD+/NADH, NADP+/NADPH, FAD); its acyl carrier is coenzyme A; its methyl donor is S-adenosylmethionine; its sugars are handed off as nucleotide-sugars for glycosylation and glycogen (UDP-glucose, UDP-GlcNAc, GDP-mannose, CMP-sialic acid); its phospholipids are assembled through CDP-choline and CDP-diacylglycerol; its sulfate is activated as the adenosine conjugate PAPS; and its second messengers are cyclic nucleotides (cAMP, cGMP, the cyclic di-nucleotides). Across energy, redox, acyl, methyl, sugar, lipid, sulfur, and signalling, the carrier is a nucleotide — most often built on the same adenosine handle a nucleotide-binding maker would have recognised (§3.2). The genome’s alphabet and the cell’s metabolic currency are one chemical inventory, not two.

The integration is a flow, not a wiring diagram. The ribonucleotides are at once the monomers of the labile running layer (RNA: catalysis, regulation, metabolite contact) and the stock from which the stable archive is cut: ribonucleotide reductase is the single de-novo gate that draws from the shared pool and commits it, one way, into DNA (§3.1). Building or marking the genome therefore debits the same pool that runs the metabolism, and the conversion between the two is a metabolic branch point, not a side reaction. Code, currency, and archive are three states of one nucleotide flow.

The origin question follows from the chemistry. There is no moment at which a static dictionary self-assembles, because writing was condition-dependent nucleotide addition from the first templated step, in the same nucleotide stock that ran the proto-metabolism. Neither half of the code was authored: the mapping from triplet to amino acid was found rather than assigned (§3.4), and metabolism supplied the inputs and the first writes — the abundance of an activated nucleotide standing in for the state of the cell (§3.6). What changes across that history is only what fixes the sequence — a nucleic-acid template early, a folded protein later — never the condition-instructed character of the writing itself. So the genetic code is the durable record of one metabolism-embedded writing process, written in the molecules that also run the cell, in the currency it spends to write: each write records a condition and, by spending the metabolite, alters it. That is the literal sense in which this information records and alters its own conditions.

https://aixiv.science/abs/aixiv.260627.000003

If you have questions, please let me know. There is a lot more going on.

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u/Lanedustin — 6 days ago

The Architecture of Cell Fate Determination

The Architecture of Cell Fate Determination.

https://aixiv.science/abs/aixiv.260526.000002

This is the culmination of 10 years of literature exploration, and about 1 year of AI use, aimed at answering a deceptively simple question, “How does life fail such that we get cancer?" Or maybe more precisely, "What are the mechanisms by which life fails that result in cancer?"

My attempts at answering this question have more recently been focused on the perspective of cancer being a failed version of a developmental program that cancer cells are transitioning through. This is due to the established presence of cancer stem cells in a variety of malignancies that can reseed tumor populations, the variable differentiation states of different cancers that are associated with mortality, and some more sporadic readings. From this, I am reconstructing the normal developmental program to understand how it breaks with cancer, and how the mechanisms by which it breaks in different types of cancers inform treatment susceptibilities.

The key insights:

The regulation is cross-generational and treatments need to consider downstream generational responses.

DNA damage response mediators regulate this as the cell cycle is fundamentally a genome management cycle.

What this manuscript does, essentially, is outline a model of development that describes this cross-generational control as I see it. It is valuable in that it allows for the reconciliation of seemingly disparate functions of proteins that are established and inform deeper insights into their roles. The best example of this is with a protein called Pidd. Canonically, Pidd can be cleaved to Pidd-c to promote NF-kB survival signaling, while a subsequent cleavage to Pidd-cc leads to caspase 2-mediated cell death. Pidd also regulates translesion synthesis in response to UV radiation, which aligns with the pro-survival vs pro-death activity based on the cleavage fragment. But through the lens of the ARC model, Pidd’s translesion synthesis role is bridging the fidelity of chromatin marking to its asymmetric segregation in mitosis, with differential fate outcomes for either daughter.

With this post and the manuscript, I kindly ask that you take a look. If your fields intersect with cancer, DNA damage, development, or cell death, they are directly implicated, and I think this is closer to the truth of how things work than some current conceptualizations.

I am also attaching two chats within my project that build off of the model so you can see how it is useful in guiding new research, including an extension of the Pidd work.

https://claude.ai/share/4363c21d-9a07-43e5-bc22-b7a1a4242b60

https://claude.ai/share/2fabb5ac-c63b-4c3b-a406-5a8fec2964f0

I would love to discuss the system and the implications.

Cool additional readings that align:

Aitken SJ, Anderson CJ, Connor F, Pich O, Sundaram V, Feig C, Rayner TF, Lukk M, Aitken S, Luft J, Kentepozidou E, Arnedo-Pac C, Beentjes SV, Davies SE, Drews RM, Ewing A, Kaiser VB, Khamseh A, López-Arribillaga E, Redmond AM, Santoyo-Lopez J, Sentís I, Talmane L, Yates AD; Liver Cancer Evolution Consortium; Semple CA, López-Bigas N, Flicek P, Odom DT, Taylor MS. Pervasive lesion segregation shapes cancer genome evolution. Nature. 2020 Jul;583(7815):265-270. doi: 10.1038/s41586-020-2435-1. Epub 2020 Jun 24. PMID: 32581361; PMCID: PMC7116693.

Literally just found this one:

"Caspase-Activated DNase localizes to cancer causing translocation breakpoints during cell differentiation"

When searching for...

Larsen BD, Benada J, Yung PYK, Bell RAV, Pappas G, Urban V, Ahlskog JK, Kuo TT, Janscak P, Megeney LA, Elsässer SJ, Bartek J, Sørensen CS. Cancer cells use self-inflicted DNA breaks to evade growth limits imposed by genotoxic stress. Science. 2022 Apr 29;376(6592):476-483. doi: 10.1126/science.abi6378. Epub 2022 Apr 28. PMID: 35482866.

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u/Lanedustin — 1 month ago