Tom Ellis

Well written. Applies very well to biology/biotech.

@mkoeris @GallowayLabMIT Should’ve been the final

@GallowayLabMIT It’s like the NBA all star game…

🤯

De novo design of orthogonal far-red, orange, and green fluorophore-binding proteins for multiplexed imaging science.org/doi/10.1126/sc…

a hot tip for @GoogleDeepMind : open source gemini 3.5 pro and become the most beloved tech co overnight.

🌱🚨 Very proud and excited to share our PREPRINT, unveiling an advance for plant science, biotech, & synthetic biology in the first (of many) Khalil <> Gehring collaborations! biorxiv.org/content/10.648…

Fun paper - by looping mRNA into circles they trap ribosomes to go round and round synthesising very very long proteins. They even get E.coli and B.sub to secrete these monsters. biorxiv.org/content/10.648…

@MartinMayta2 @Nature Yes, the ribosomal protein introns especially

@ProfTomEllis I think there is another eralier paper from @nature that showed they are necessary for rapid adaptation to environmental changes

Do eukaryotes need introns? Seems like they don’t. Very nice use of synthetic genome engineering in yeast to remove all introns and lose the splicosome. cell.com/cell/abstract/…

Trials are ultimately experiments on people. I really don’t like this from an ethical lens, and it opens up a can of worms. Would people enroll in non-consensus trials? should patients know the betting odds of trials they are enrolling in; would it lead to better decision making for patients? Can companies hedge their own risk in a trial; would that lead to incentive for bad behavior? Would this allow for capitalizing more trials? I certainly don’t know the answers to these questions, but it worries me and the consequences of it going badly are big (if it actually catches on).

@thisischristina Now design a nanobinder to block its agency

I've been playing with genome data using Claude so I asked it to write its own "genome" and then use Boltz to fold the proteins. This is what it came up with as its gene for "agency" lol

Programming Metabolic Dependency in Synthetic Cells Under Resource Scarcity biorxiv.org/content/10.648…

Programmable one-pot polymerase-mediated DNA synthesis via temperature control nature.com/articles/s4146…

@mbeisen One of the rare occasions that the English are not the colonisers.

The three set quarterfinals are all colonizer - colonized pairs: France - Morocco, Spain - Belgium, Norway - England.

King of Belgium should call up FIFA to have the irreversible reversed red rereversed and reirreversed

Excited to share our latest work, now published in @NatureBiotech! We established the first prime editing platform for filamentous fungi, achieving average editing efficiencies approaching 90% across diverse loci and species. nature.com/articles/s4158…

I think the biggest things we’re currently missing from current models like AlphaGenome and Borzoi:

@JedryszekJan @Bioticorg @KateAdamala @UMNews Okay thanks - I read the work last week when asked by the journalists. Is the bioRxiv version the same as the one sent out to journalists?

@ProfTomEllis @Bioticorg @KateAdamala @UMNews The site hosted it at launch, and the bioRxiv posting followed. It's hard to time exactly when a preprint goes fully live there.. It's now up on bioRxiv: biorxiv.org/content/10.648… We'd genuinely value your eyes on it!

Today we're launching Biotic.org: a public-benefit organization building the foundations for engineering biology in the open. 🧵

@Bioticorg @KateAdamala @UMNews I was asked to comment on Kate’s paper by a few journalists and a q that bugs me is - why is the research article posted on the biotic website and not at a preprint server? I’m fine to comment non peer-reviewed work but usually expect it to be posted at an open independent site.

@KateAdamala @UMNews If you work on synthetic cell engineering, or on the chemistry, physics, computation, medicine, policy, or governance around it, come build with us. Read more here: biotic.org/out-of-one-many

Claude Science is incredible. I gave it some sequencing data, and in 8 hours it did a full analysis, generated figures, wrote a paper, submitted it for publication, got rejected, revised and resubmitted, got rejected again, it is now applying for positions in industry

How much does a scientific claim actually change between the preprint and the final published paper? We used a large language model to track it across all available 72,644 bioRxiv -> journal pairs from 2018 - 2025 in this new work with @HaoYin. 🧵