Inlay

Foundational work in #zebrafish can be credited to "fruitful" discussions between #Drosophila researchers such as José Campos-Ortega & Christiane Nüsslein-Volhard. By the late 1980s, multidisciplinary approaches honed in flies were finally applied to a vertebrate. #ZebrafishFunFacts 🧪

The proposed new government rules for politics-based decision making on federal scientific grants will materially impact my ability to due science in the US: www.federalregister.gov/documents/20... Please reach out to your congress representatives on this: www.linkedin.com/posts/lisa-m...

My postdoc work with @pcusachs.bsky.social is finally out! We find that fibrillar adhesions play an important role regulating the timescales of nuclear mechanotransduction. You can read all about it here : www.nature.com/articles/s41563-026-02590-x Huge thanks to everyone involved!!

(1/n) Does basal stem cell division orientation regulate skin stratification and tissue mechanics? And can tissue mechanics feed back to control division orientation? In our new preprint, we use a 3D vertex model to explore this @manningresearch.bsky.social @somiealo.bsky.social

‼️MASSIVE‼️ congratulations to Professor Roberto Mayor @mayorlab.bsky.social from UCL, who has been elected as a fellow of The Royal Society @royalsociety.org. Professor Mayor is a Professor of Developmental and Cellular Neurobiology and one of our board of directors. royalsociety.org/news/2026/05...

How much information does it take to fold a protein? Not much, if you use the right information! We find that residue burial, a binary label of core vs surface, encodes a protein's fold highly efficiently and even improves ESM2's structure representation. 1/8 www.biorxiv.org/content/10.6...

Protein structure is controlled by a high-dimensional energy landscape, which is a function of all of the atomic coordinates of the protein. Can this landscape be accurately described by a low-dimensional representation? We find that residue core identity, a binary N-dimensional encoding indicating whether each of the N amino acids in a protein is buried in the core or not, can predict the protein's backbone conformation more efficiently than all other representations that we tested. Core identity is 4 times more efficient than previous estimates of the bits per residue needed to encode a protein's native fold, 2 times more efficient than the Cα contact map, and 1.5 times more efficient than the machine-learned embeddings from FoldSeek's 3Di. Even when the folded structure is unavailable, predicting each residue's burial from sequence yields a more accurate estimate of fold quality than predicting pairwise contacts from the same sequence information. Thus, this work emphasizes that the problem of determining a protein's native fold can be re-framed as predicting each residue's core identity. ### Competing Interest Statement The authors have declared no competing interest. Chan Zuckerberg Initiative (United States), 2023-329572 NIH, T32GM145452

💥 🚀 New preprint! 🎉🥳 How do hundreds of organelles organize themselves into near-perfect patterns inside a cell, without a blueprint? We dive deep into how basal bodies (BBs) self-organize in MCCs - and how actin actively tunes their dynamics into order 🍪 🧵👇 (1/17)