The widespread adoption of liquid biopsy seems to be 'un-commoditizing' DNA synthesis in the molecular diagnostics industry.

Recall that synthetic DNA probes, molecules that bind and pull a DNA out of solution, are a critical input for liquid biopsy.
Diagnostics companies buy probes to use in their clinical tests, oftentimes in bulk, from a synthetic DNA provider. There's been a prevailing notion recently that DNA providers only can differentiate on the basis of cost or turnaround time.

I think liquid biopsy changes this.
Firstly, a huge technical constraint in liquid biopsy is the availability of cancerous DNA in a tube of blood, which decreases exponentially with tumor size.

Remember that smaller tumors don't leak as much DNA into the bloodstream.

Sequencing can be a lossy process.
It doesn't matter how deeply you sequence if you don't have cancerous DNA to start with. There may be only ~10 copies of the genome in a tube of blood. Shipping, isolation, extraction, amplification, methylation conversion, all these steps carry risk of destroying the DNA.
So, this is placing a huge premium on capture efficiency and uniformity - basically how good synthetic DNA probes bind and pull out of solution what you want to sequence versus what you don't. At scale, this can result in massive improvements in operating efficiency.
So, beyond just cost and turnaround time, uniformity and efficiency come into play. Remember that diagnostics companies also devote lab space to design/build/test cycles for new tests, so turnaround time gets even more important.

Now let's talk about multi-omics.
With earlier cancer detection, labs 'stack signals' by building diagnostics that input multi-dimensional biological data - say DNA mutations, DNA fragment patterns, epigenetic signatures (5mC, 5hmC), cell-free RNA, and whose to say we won't keep adding more?
Stacking orthogonal data steams can turn a faint cancer signal into a loud one, making it easier to detect even in early stages.

Each of these buckets of data is another sample prep obstacle (or opportunity?) for SynBio vendors.
For example, methylation conversion alters sequence complexity and may cause probes to be blocked from binding to their targets, necessitating more sophisticated probe design and another avenue for differentiation.

Diagnostics companies are becoming hyper-competitive.
I think the market for differentiation NGS capture/conversion/sample prep solutions will grow as liquid biopsy grows. Many new companies will come to the table and the long tail of dedicated researchers will want to contribute to our collective knowledge as well.

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More from @sbarnettARK

11 Mar
@NatHarooni @snicobio I’m watching Jeopardy—will come back later tonight. Short answer—no, not competitive to PacBio. Likely friends down the road.
@NatHarooni @snicobio Alright, so in theory the QSI platform can enable DNA (or RNA) sequencing on chip. However, I think of it more like a call option and less of a near-term goal. Proteomics is the killer app enabled by the QSI platform. But, as OP alluded to, multi-omics (inc. proteins) on one ...
@NatHarooni @snicobio ... instrument could be an attractive value prop. from a capital outlay point of view, especially for $50K which is achievable for many labs w/o needing to seek a major grant (so speedy sales cycles). Now, back to the main point about sequencing. If you read the patents ...
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22 Feb
@NatHarooni @AlbertVilella In my opinion — HiFi reads are the most accurate/complete, but currently are more expensive and lower throughput. Nanopore reads are cheap, fast, and high-throughput, but have a weaker error profile. Both of these descriptors are changing and may not be the case in a few years.
@NatHarooni @AlbertVilella As far as QSI is concerned, it’s a little too early for me to calculate operating costs per run. I’ll update when I know more.
@NatHarooni @AlbertVilella Regardless of how you consider the remaining engineering obstacles, necessary R&D spend, or computational issues—I feel that long-read sequencing (as a class of tech), will outperform short reads on virtually every relevant metric by 2024-2025
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21 Feb
@nhawk45 @AlbertVilella Hey, @nhawk45 -- Sure, I think I can take some of these. Let's start from the beginning to help explain why certain features of QSI's approach/IP are needed and interesting.

First: Why are proteins the hardest molecules to sequence of the 'big three'? (DNA/RNA/Proteins) ...
@nhawk45 @AlbertVilella Here are some of my notes on reasons I could think of, but I'll take a moment to elaborate on some of them.

The proteome is estimated to have the largest 'unit diversity' for lack of a better term. DNA = 20K genes, RNA = 10^5 isoforms, proteins = 10^6 proteofroms ...
@nhawk45 @AlbertVilella Proteomic diversity is driven by post-translational modifications (PTM), which is a set of chemical alterations to peptides not dissimilar to how DNA can have #epigenetic modifications like methylation. Combine this w/ the fact that peptides have a 20-letter alphabet ...
Read 7 tweets
18 Feb
Anyone have any opinions on how self-insured employers consider innovative healthcare offerings to pass on to their employees?

As I understand it, by shouldering the financial risk, self-insured employers can curate a list of more relevant benefits ... (1/10)
... thereby avoiding paying out lofty insurance premiums for services that its employees don't use or want. There seems to be a long list of intangible benefits having to do with talent acquisition and retention, but I'd like to understand the cost equations more fully. (2/10)
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17 Feb
@TerraPharma1 @hiddensmallcaps Apologies for the incoming Tweet storm . . .
@TerraPharma1 @hiddensmallcaps Here are some of my thoughts on the Personalis <> Natera tie-up. This is mostly a tech-focused breakdown, so not a recommendation to buy, sell, or hold any security: (bit.do/eyRo8)

First, a bit of background on the details and opinions scattered throughout . . .
@TerraPharma1 @hiddensmallcaps Historically, Personalis has focused entirely on serving the biopharma market. These customers aren't as price-sensitive and they have an insatiable appetite for novel discoveries. In our view, Personalis' NeXT platform is a great biopharma product-market fit. Why? . . .
Read 17 tweets
17 Feb
As cash-rich molecular diagnostics companies scale volume and expand menu breadth, there could be an "acqui-hire" shockwave.

These growing companies likely will continue vertically integrating in front (sample prep) and behind (informatics) to gain . . . (1/4)
. . . operating efficiencies on the move up. Or, there could be a weak link in the existing R&D pipeline that needs mending all-of-a-sudden. For example, that extracting bite-size #epigenetic signal from blood would be central to earlier #cancer detection . . . (2/4)
. . . maybe wasn't as obvious five years ago. There seems to be a ton of awesome IP/university spinouts that've gone on to become private companies and/or patents. Along with this, a fleet of brilliant scientists/impassioned people who . . . (3/4)
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