Dan Bose
@danbose.bsky.social
1.3K followers 1K following 78 posts
scientist (enhancers, eRNAs and chromatin), Sir Henry Dale Fellow; bike-fettling, bird-watching, accordion-botherer www.bose-lab.org @[email protected]
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danbose.bsky.social
Hot off the press for your Friday morning! 🔥 Our new (and highly revised!) preprint is out. It significantly expands on our previous work, unveiling exciting new data on how CBP's intrinsically disordered regions (IDRs) regulate genes.
Link to preprint: tinyurl.com/5npjkyps

#IDRs #condensates #CBP
CBP-IDRs regulate acetylation and gene expression.
Intrinsically disordered regions (IDRs) have emerged as crucial regulators of protein function, allowing proteins to sense and respond to their environment. Creb binding protein (CBP) and EP300 (p300)...
tinyurl.com
danbose.bsky.social
Great review of the super #NeuroBioUK2025 meeting in September. Well done to everyone who organised it @exdrososcientia.bsky.social @alexfellows1.bsky.social and @dozenoaks.bsky.social for putting together such a great meeting for the community! 👏🧠🔬 tinyurl.com/4jn7yrmt roll on next year!
NeuroBio UK 2025: Insights, Innovation, and Inspiration in Neuroscience - FocalPlane
NeuroBio UK 2025: Insights, Innovation, and Inspiration in Neuroscience -
tinyurl.com
Reposted by Dan Bose
ulelab.bsky.social
Collective challenges need collective solutions. Happy to share the insights we've gained from the way our cells handle this: www.nature.com/articles/s41... and its summary www.crick.ac.uk/news/2025-09....
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
Reposted by Dan Bose
marcotrizzino.bsky.social
Our study on the role of LTR5HS and SVAs in regulation of human neural crest migration is now published as peer-reviewed paper on @molsystbiol.org!
Congrats to first author brilliant postdoc Laura Deelen, and all the authors involved! @imperialsci.bsky.social
www.embopress.org/doi/full/10....
danbose.bsky.social
Come and hear about our latest story! It's a really nice series as well- sign up for the mailing list for updates #condensates #UKcondensates
jrkumita.bsky.social
Come join us for the next monthly on-line seminar (3rd October, 1 pm BST) aimed to connect the UK Biomolecular Condensate community (All are welcome to come and listen). @danbose.bsky.social @physicsoflifeuk.bsky.social
danbose.bsky.social
Will do- thanks!!
danbose.bsky.social
This looks super useful!
johntngo.bsky.social
🚀 Our new paper is out @natmethods.nature.com!

Kuffer & Marzilli engineered conditionally stable MS2 & PP7 coat proteins (dMCP & dPCP) that degrade unless bound to RNA, enabling ultra–low-background, single-mRNA imaging in live cells.

🔗 www.nature.com/articles/s41...
🧬 www.addgene.org/John_Ngo/
danbose.bsky.social
Such a cool story- great to see it finally out in the wild #enhancers #geneRegulation
Reposted by Dan Bose
lindorfflarsen.bsky.social
New review on computational design of intrinsically disordered proteins 🖥️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & 👴

doi.org/10.48550/arX...
Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."
danbose.bsky.social
Looking forward to catching up with everyone at the @biochemsoc.bsky.social #transcription and #chromatin UK #TCUK meeting today in sunny Manchester! #BiochemEvent 🧬🔬☔️ www.eventsforce.net/biochemsoc/f...
www.eventsforce.net
danbose.bsky.social
Nice use of #smFRET to study #idr #dynamics
biorxiv-biophys.bsky.social
The role of intrinsically disordered domains in regulating G protein coupled receptor signaling https://www.biorxiv.org/content/10.1101/2025.09.10.675278v1
Reposted by Dan Bose
jxhoffman.bsky.social
Really excited to get our seminars back up and running. @gracebower.bsky.social is going 1st and if you haven't read her range extender story, you're in for a treat!
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@creminslab.bsky.social has the 2nd talk and will tell us about the amazing work happening in her lab!
fnucleosome.bsky.social
Let’s kickstart new series of #FragileNucleosome seminars! We are delighted to have @gracebower.bsky.social from Kvon lab and @creminslab.bsky.social to present their work!
Register here for upcoming session and the entire series:
us06web.zoom.us/webinar/regi...
danbose.bsky.social
Cracking lineup of @fnucleosome.bsky.social seminars over the next few months!
jeffvierstra.bsky.social
Looks like a great couple of months of seminars! Come check out my talk on November 5th if you want to learn about our progress in mapping the nucleotide-resolved structure and function of cis-regulatory DNA elements across thousands of cell types and states.
fnucleosome.bsky.social
We're super excited to announce the entire lineup for the Fall season of Fragile Nucleosome Seminars, starting on Sept 10th at 1200 EDT / 1600 UTC with @gracebower.bsky.social and @creminslab.bsky.social!

register here for the entire series: us06web.zoom.us/webinar/regi...
Reposted by Dan Bose
helenczerski.bsky.social
Ooh, look. When we covered the climate impacts of machine learning (“AI”) on Rare Earth in June we found it really frustrating that none of the tech companies would tell anyone the water and energy costs. Now Google has made at least some of it public. More of this! (and preferably raw data too).
In a first, Google has released data on how much energy an AI prompt uses
It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers.
www.technologyreview.com
Reposted by Dan Bose
ei-science.bsky.social
Are you a @biophysicalsoc.bsky.social member? Vote in the 2025 election by 01/08! @timcraggs.bsky.social is nominated as Industry Rep. We encourage everyone to vote for this important cause, regardless of who you're voting for 🙂 www.biophysics.org/elections/bp... #biophysics #lifescience
danbose.bsky.social
Had a super day at the inaugural Nucleic Acids Institute 🧬🧬🧬summer symposium at The University of Sheffield. Loads of fantastic talks and posters and discussion from across all of our faculties and research themes, and two inspiring keynotes

Congratulations also to all our prize winners!🥇🎖️🥈