Such advances could one day lead to both biological super-AGI and immortality.
First, during the 2000's, the cost of DNA sequencing fell to about 1000 USD per genome in the end of the 2010's: Figure 5. "Cost per genome vs Moore's law from 2000 to 2019", largely due to "Illumina's" technology.
The medical consequences of this revolution are still trickling down towards medical applications of 2019, inevitably, but somewhat slowly due to tight privacy control of medical records.
But even 100 dollars is not enough. Sequencing power is like computing power: humankind can never have enough. Sequencing is not a one per person thing. For example, as of 2019 tumors are already being sequenced to help understand and treat them, and scientists/doctors will sequence as many tumor cells as budget allows.
Then, in the 2010's, CRISPR/Cas9 gene editing started opening up the way to actually modifying the genome that we could now see through sequencing.
Ciro believes that the next step in the revolution could be could be: de novo DNA synthesis.
Just imagine this: at the comfort of your own garage, you take some model organism of interest, maybe start humble with Escherichia coli. Then you modify its DNA to your liking, and upload it to a 3D printer sized machine on your workbench, which automatically synthesizes the DNA, and injects into a bootstrapped cell.
You then make experiments to check if the modified cell achieves your desired new properties, e.g. production of some protein, and if not reiterate, just like a software engineer.
This a place point we see the beauty of evolution the brightest: evolution does not require observability. But it also implies that if your changes to the organism make it less fit, then your mutation will also likely be lost. This has to be one of the considerations done when designing your organism.
Other cool topic include:
- computational biology: simulations of cell metabolism, protein and small molecule, including computational protein folding and chemical reactions. This is basically the simulation part of omics.If we could only simulate those, we would basically "solve molecular biology". Just imagine, instead of experimenting for a hole year, the 2021 Nobel Prize in Physiology and Medicine could have been won from a few hours on a supercomputer to determine which protein had the desired properties, using just DNA sequencing as a starting point!
- microscopy: crystallography, cryoEM
- analytical chemistry: mass spectroscopy, single cell analysis (Single-cell RNA sequencing)
It's weird, cells feel a lot like embedded systems: small, complex, hard to observe, and profound.