Excellent work! Particularly intrigued by the observations on nucleolus-associated heterochromatin.

Kazuhiro Maeshima@kazu-maeshima.bsky.social · 4w ago

Our new preprint @biorxivpreprint.bsky.social, led by @katsuminami.bsky.social‬ et al.! 🎉 www.biorxiv.org/content/10.6... Machine learning-assisted Repli-Histo labeling and single-nucleosome imaging reveal distinct transcription-dependent chromatin constraints across euchromatin and heterochromatin.

Using single-H1 imaging and computational modeling, we show that most H1 behaves like a liquid inside chromatin domains rather than binding stably to nucleosomes as in the textbook model: www.science.org/doi/10.1126/... Congrats @masaashimazoe.bsky.social & all contributors! 🎉 2/

I am not afraid to say it: this is the most fundamental advance in our understanding of chromatin structure since the zig-zag fiber model. Congratulations!

Kazuhiro Maeshima@kazu-maeshima.bsky.social · 4mo ago

Our linker histone H1 paper is featured on the cover of the April 10 issue of #ScienceAdvances. www.science.org/doi/10.1126/... A molecular dynamics simulation of nucleosomes and linker histone H1, with single-H1 trajectories (background). 🎉 Full cover caption: www.science.org/toc/sciadv/1...

We are in EMBO J. See DNA and non-octameric nucleosome-like particles in situ link.springer.com/article/10.1...

Direct visualization and tracing of chromatin folding in the Drosophila embryo - The EMBO Journal

Chromatin organization, through the assembly of DNA with histones and the folding of nucleosome chains, regulates DNA accessibility for transcription, DNA replication and repair. Although models deriv...

link.springer.com

Generate synthetic cryo-ET data and train your model for particle picking in real data. Impressive work by Mohamad Harastani: www.nature.com/articles/s41...

Template Learning: Deep learning with domain randomization for particle picking in cryo-electron tomography - Nature Communications

Particle picking is a key bottleneck in bridging structural and cell biology with cryo-electron tomography. Here, authors develop Template Learning, using domain-randomized simulations to train deep l...

nature.com

A question for the experts: Can you recognize nucleosomes and linker DNA in this data? Find an updated version of our manuscript in www.biorxiv.org/content/10.1...