Discover and read the best of Twitter Threads about #epigenetic

Most recents (6)

As we approach Q30+ on now 4 competing platforms, 2 short read and 2 long read platforms, it's a useful reminder that only PCR-free preps benefit from high quality base-calling, as any PCR-based method incorporates errors wrt the original material.
More importantly, any PCR-based method devised so far also erases #epigenetic marks, which can only be read in conjunction with the 4-base alphabet if it's from a PCR-free method.
So if your application where to benefit from, say, a Q33 better than a Q31 modal base-calling, first ask yourself: have I got enough DNA for a PCR-free prep?
Read 4 tweets
@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
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)
Read 4 tweets
JPM Healthcare Daily Roundup #JPM2021

The first day of the conference hasn't disappointed, especially if you're a fan of talking cubes. What is this mysterious object and what sorcery is inside?

See disclosures at the end.
The Tempus One, meant to be carried in a doctor's coat or sat at the bedside, is a physical manifestation of @TempusLabs' genomic and phenotypic data-lake. Oncologists can ask One all sorts of questions regarding their patients, though I'm unsure if it'll (...)
(...) just reflex you to a computer after a sufficiently difficult question. I'm sure we'll learn more soon. Has this sort of form-factor been tried before?

I'm just hoping it has adjustable humor/honesty settings like TARS from Interstellar.

Moving right along.
Read 15 tweets
Livetweets from the 7th Annual Aging Research and Drug Discovery conference #ARDD2020. I can't attend every talk to coverage will be intermittent. Apologies to any speakers left out!
Christian Riedel from @karolinskainst presenting aging clocks. There are a lot of these, but excited to see him (A) making a human clock predicting time to death, not just age, and (B) deconvoluting both their human and model org clocks into FUNCTIONAL parameters. Sorely needed.
Now haut.ai from Estonia arguing that hand photos are more robust than faces for AI-based aging biomarkers, and that we need more explicit skin tone features for broadly applicable tools.
PS, Estonia is probably the world leader in digital health/EHRs.
Read 24 tweets
We’re excited to share our newest publication @nature. With #scRNAseq we investigated 10 key #epigenetic regulators in #embryogenesis. Interesting early task for #Polycomb! Meissner lab @MPI_MolGen & @HSCRB /w @helenekretzmer & Zachary D. Smith (1/13) nature.com/articles/s4158…
What is normal in #devbio? First, we generated a single-cell reference of WT mouse #gastrulation and early organogenesis to which we later compared mutant phenotypes. We identified 42 embryonic and extraembryonic cell states and placed them in a lineage tree. (2/13) Image
Our WT reference is time-resolved covering #embryo stages E6.5-8.5. Variation is information: We pooled multiple embryos with unique SNP profiles per single-cell experiment; cell-to-embryo assignment is possible from scRNA data. (3/13) Image
Read 13 tweets

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