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eltsovmikhail.bsky.social

@eltsovmikhail.bsky.social
101 followers 66 following 7 posts

IGBMC near Strasbourg DNA and chromatin in situ x.com/EltsovMikhail

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Kazuhiro Maeshima @kazu-maeshima.bsky.social · 08/09/2026
Is euchromatin really “open”? 🧬 Using super-resolution imaging🔬 our new study @natgenet.nature.com reveals: Euchromatin forms condensed domains in live cells. Cohesin constrains them and prevents domain mixing for proper transcriptional insulation🚧 🔗 www.nature.com/articles/s41... (1/2)
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eltsovmikhail.bsky.social @eltsovmikhail.bsky.social · 21/07/2026
Excellent work! Particularly intrigued by the observations on nucleolus-associated heterochromatin.
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Reposted by @eltsovmikhail.bsky.social
Kazuhiro Maeshima @kazu-maeshima.bsky.social · 08/04/2026
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/
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eltsovmikhail.bsky.social @eltsovmikhail.bsky.social · 13/04/2026
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!
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eltsovmikhail.bsky.social @eltsovmikhail.bsky.social · 10/02/2026
We are in EMBO J. See DNA and non-octameric nucleosome-like particles in situ link.springer.com/article/10.1...
link.springer.com
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...
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eltsovmikhail.bsky.social @eltsovmikhail.bsky.social · 17/10/2025
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...
nature.com
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...
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eltsovmikhail.bsky.social @eltsovmikhail.bsky.social · 17/04/2025
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...
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