Nikita Frolov πŸ‡ΊπŸ‡¦
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nikitaphysics.bsky.social
Nikita Frolov πŸ‡ΊπŸ‡¦
@nikitaphysics.bsky.social
100 followers 180 following 35 posts
Physicist interested in complex living systems @lendertgelens.bsky.social Lab, KU Leuven Complex Systems | Cytoskeleton Networks | Machine Learning
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[8/8] Curious to learn more? Check the link in the first post for the whole story ☝️
Lastly, huge kudos to Julian Voits and @ulrichschwarz.bsky.social, who independently reached similar conclusions: arxiv.org/html/2403.17... (soon in PRX Life).
[7/8] Our model, a step toward a deeper mechanistic understanding of how biological processes scale with temperature, offers an alternative perspective that embraces the underlying complexity of biochemical regulation.
[6/8] Our scaling equation – a quadratic-exponential function with single-exponential deviations at extremes – fits 100+ temperature-response curves across traits and taxa, offering a sound estimate of mean activation energy.
[5/8] At temperature extremes, timing deviates from the quadratic-exponential law. It becomes dominated by the slowest rate-limiting step, where forward transitions turn slower than backward ones – effectively trapping the process in a loop.
[4/8] Interestingly, this quadratic-exponential behavior holds within a range around the reference temperature, where forward transitions dominate and averaging applies.
[3/8] The completion time of such multi-step processes, i.e., reaching step n from step 1, was found to follow a quadratic-exponential function of inverse temperature. This scaling, seen in experiments, naturally emerges from averaging over many independent intermediate steps.
[2/8] Our model is relatively straightforward: a cascade of n (reversible) Markov jump processes, each transition rate following Arrhenius-like temperature scaling, with forward transitions favored near a reference temperature.
[1/8] Biological processes are governed by complex biochemical networks – far beyond single reactions – and often form multi-step transition cascades. Together with Simen Jacobs, Federico Vazquez, and @lendertgelens.bsky.social, we show that modeling these as Markov chains has striking consequences.
🚨 Late preprint alert!
Why do biological process rates scale nonlinearly with temperature, deviating from the straight line on an Arrhenius plot? The key may lie in their inherent complexity!

More in thread and here: doi.org/10.1101/2025...
Last year at EMBL, Prof. McIntosh gave a historical overview of the discovery of dynamical instability, and it was one of the most insightful and fun lectures I've ever listened to. Really excited to read this piece from him.
Perspective from Richard McIntosh describing the history of research on #microtubule polymerization in terms of the ideas, technologies, and observations that have emerged as countless researchers have studied the dynamics of these essential cytoskeletal polymers. rupress.org/jcb/article/...
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Final version of our paper on ciliary metachronal waves out now in Science Advances! doi.org/10.1126/scia...

This is the main thesis work of my PhD student Rebecca Poon, who caught many #platnereis larvae and tirelessly ablated them with a laser. THREAD
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Join us next Tuesday (30/09) for talks by @gautamdey.bsky.social @embl.org & Andreas Heim @uni-konstanz.de & Simonetta Piatti @crbm-montpellier.bsky.social
Looking forward to our next #DGZ Focus Workshop on #Mitosis & #Meiosis on Sept. 30 at noon, organized by simonereber.bsky.social & Thomas Mayer - join us!
Congratulations, Jan! Happy to see it out; it’ll be a nice read this weekend :)
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Please allow me to introduce... our new preprint πŸŽ‰ Together with Michael Zhao, Anna Erzberger and Alexander Aulehla, we investigate pattern formation due to aggregation in confined systems.

You can find it at arxiv.org/abs/2509.08533

@michaelzhao.bsky.social @erzbergerlab.bsky.social
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
On Thursday, Sept 25, we host Lendert Gelens (KU Leuven) for a seminar: "Beyond Arrhenius: How temperature scales biological time". He will show how biological timing changes across temperatures.
barcelonacollaboratorium.com
#seminar #KULeuven #EMBL #BCNCollaboratorium
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
In this Viewpoint, Adam Zweifach explains how to calculate how many cells to analyze per sample to achieve reasonable statistical power in #microscopy experiments. rupress.org/jcb/article/...

πŸ“• In #Reproducibility and Best Practices in Cell Biology: rupress.org/jcb/collecti...
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Complex behaviour is not limited to animals! Here we map the entire spectrum of waveforms dynamics on a quadriflagellate single cell with 4x 70um (!) #cilia, to a low dimensional behavioural manifold with surprising structure! #protistsonsky

All revealed in our new preprint doi.org/10.1101/2025...
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Can a single cell learn? Even without a brain, some microbes show simple forms of cognition. Can this basal cognition be engineered? Check our new paper with @jordiplam.bsky.social on the minimal synthetic circuits & their cognitive limits. @drmichaellevin.bsky.social www.biorxiv.org/content/10.1...
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
Are you ready for a symposium dedicated to microtubule dynamics, function, and structure? πŸ™Œ

#EESMicrotubules will bring together researchers who share an interest in microtubule biology and its relevance to health and disease 🩺

πŸ’» s.embl.org/ees26-09-bl
βœ’οΈ Submit your abstract by 11 March
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
πŸ“£ Paris Cytoskeleton day 2025 - Registrations are open!

πŸ“† November 14th
πŸ“ Institut Jacques Monod

πŸ”— pcd2025.sciencesconf.org
Abstract submission closes on 19 October
Registration closes on 7 November

@romet-jegou-lab.bsky.social @upcite.bsky.social @cnrs-idf-villejuif.bsky.social
Proud moment! The central results of my research over the last three years – specifically, on how the nucleus contributes to cell cycle scaling – were recently published in Current Biology. Check out the paper and the thread below for more details! πŸ‘‡πŸ‘‡πŸ‘‡
🧡Does the nucleus set the cell cycle clock? πŸ•’

In frog egg extract β€œmini-cells” we see that as nuclei grow, cycles slow down. The period scales with the nuclear-to-cytoplasmic ratio, across Xenopus species, and even when DNA replication or transcription are blocked.

πŸ‘‰ doi.org/10.1016/j.cu...
Reposted by Nikita Frolov πŸ‡ΊπŸ‡¦
These people are the enemy.