#JPM2021#ExactSciences#LiquidBiopsy My highlights: I will focus on the liquid biopsy / #epigenomics profiling side of the presentation, which is where my interest lies: Exact described the data from Thrive multi-cancer screening, based on 'mutation+protein'
The details they gave on their other recent acquisition, #BaseGenomics are illuminating: they will use their bisulfite-free methylation profiling method for their Cologuard 2.0 test for CRC, but also for the multi-cancer test, and possibly the MRD test as well.
So this means that #ExactSciences intend to upgrade their tech in two steps: from current Cologuard 1.0 to a new test that includes Thrive's tech, and then a second upgrade using the #BaseGenomics#Epigenomics profiling tech.
So #ExactSciences is currently not using #Epigenomics profiling in Cologuard 1.0 (only a handful of specific methylation loci), and won't be in the Thrive-based multi-cancer test. They will use #Epigenomics profiling only when they blend in the #BaseGenomics tech (not shortly).
#JPM2021#BiologicalDynamics@BiodynSD My Highlights: I'll cover this from the point of view of #LiquidBiopsy and #Epigenomics profiling, which is where my interest lies: their next-gen multiomics intro is about exosomes (and EVs, exosomal vesicles?)
The slide about Verita Biomarker Isolation Platform seems to be about isolating cells, with the right-most image showing "Visualized EV", which I presume is exosome vesicles
Later on, they do mention methylation markers, above the exosomes image, so I wonder if it's only DNA inside or bound to the exosomes?
#JPM2021@GenapSys My Highlights: I think it's fair to say I am more excited than most about this #NGS company, as I see them as an example of how to enter the market while keeping a small profile ($249M raised so far).
They now are aiming at 2021 to ship two new chips: 50MM read chip and 144MM sensor chip (not sure what the difference is between read/sensor).
They show a slide of price per Gb with #Illumina products as a reference, and their products now lined up, I think, for the first time with price per Gb info. Lowest will be the 144MM chip at ~$27/Gb.
Some stats and facts about the #Takifugu#rubripes assembly by @genomeark: this is the third iteration of the assembly. The first was completed in 2002. There was another iteration done in 2011. Why was the pufferfish sequenced so early? A lot has got to do with Sydney Brenner...
Indeed, as we can see in this archived version of @ensembl, the Fugu genome was the 5th vertebrate genome to be completed, after human/mouse/rat and zebrafish. Even though zebrafish is widely used as a model organism, Sydney Brenner argued that Fugu was worth sequencing ...
... The reason is that Sydney Brenner was passionate (obsessed?) with gene duplications and functional diversification. I.e. a gene duplicates in two copies, and over time, each copy can specialize in doing something slightly different. ...
#JPM2021@TwistBioscience My Highlights: back to the #DNAWrite field. TwistBio chip: 1M oligos but only as centralised factory setting.
Expanding to a new factory in Portland (roadmap 2022) to reduce TAT. Also mentioned the "long tail" of Clonal Ready Gene Fragments.
They have a few slides on #DNAasStorage with a denser chip in prototype phase where they think they can archive 1Tb for $100 (pay once, archive forever*) which, if my calculations are correct, would allow for 10-12 years of @awscloud Deep Glacier or similar mth/GB=0.00099*12*1E3
#JPM2021#LiquidBiopsy notable by their absence, which is more than excusable in these pandemic times: @freenome, Biocartis, Biodesix, Epic Sciences, ArcherDx (not by this name anyway). Worth following developments for them. In my book, worth following #Freenome of the ones here.
Smaller #LiquidBiopsy#Oncology#Diagnostics players also not at #JPM2021 but important in the field: Personalis, Inivata, Exosome Diagnostics, Epigenomics Ag, Personal Genome Diagnostics, Foundation Medicine, Singlera, Cambridge Epigenetix, and Bluestar Genomics.
Their T-Detect method is aiming at #MRD monitoring, here shown in a slide that relates it to their ImmunoSEQ T-MAP Cancer mapping tool, and their Identification of clinical TCR candidates.
They stress the T-cell Diagnostics angle in different slides. I recall only @freenome explicitly mentioning immune-profiling from the group of companies in early cancer diagnostics and #epigenomics profiling (Grail/GH/Thrive/Freenome/BioStar/CEGX/etc.)