Lucas Anger
LightNews LightNews
banner
luanger.bsky.social
Lucas Anger
@luanger.bsky.social
99 followers 180 following 10 posts
PhD student in the Ladoux-Mège lab at Institute Jacques Monod in Paris. I enjoy mechanobiology, biophysics, when things are nematic, and doing little silly drawings.
Posts Replies Media Videos
Reposted by Lucas Anger
bladoux.bsky.social
🔬 We're hiring a Laboratory Manager!
Join our growing international team at the Max Planck Center for Physics and Medicine in Erlangen!
🧬 Cell & molecular biology
🧪 Lab coordination & experimental research
📩 Apply now: [https://www.fau-jobs.de/jobposting/8173a98034c48d53d57bce14503883cbdbf6f3b80]
October 8, 2026 at 9:37 AM
Reposted by Lucas Anger
ijmonod.bsky.social
📣 Registration are open for the International symposium – Division and Cycling Across Biological Scales

📆 October, 19-23
📍Institut Jacques Monod

Free registration mendatory before October 15th🔗 buff.ly/YqZKLeR

@circleu.bsky.social @euerasmusplus.bsky.social
October 2, 2026 at 8:01 AM
Reposted by Lucas Anger
condmatsoft-bot.bsky.social
Tianxiang Ma, Lasse Bonn, Valeriia Grudtsyna, Nigar Abbasova, Martin Cramer Pedersen, Nuno A. M. Araujo, Amin Doostmohammadi: Cell division sets a universal flow geometry in cell layers https://arxiv.org/abs/2609.34631 https://arxiv.org/pdf/2609.34631 https://arxiv.org/html/2609.34631
September 29, 2026 at 6:53 AM
Reposted by Lucas Anger
bladoux.bsky.social
What determines how epithelial cells divide when shape cues disappear?
Our new work in @natcomms.nature.com shows that divisions follow maximal stress anisotropy — a “principal-stress rule” beyond Hertwig’s long-axis rule.
Fantastic work led by @luanger.bsky.social
www.nature.com/articles/s41...
September 23, 2026 at 4:30 PM
Reposted by Lucas Anger
bladoux.bsky.social
Happy to share our new study @ijmonod.bsky.social on how surface curvature shapes multicellular organization and function. How curvature controls tissue chirality, patterns distinct architectures, and influences myogenic differentiation?

www.biorxiv.org/content/10.6...
September 2, 2026 at 7:31 AM
Reposted by Lucas Anger
andreasschoenit.bsky.social
Excited to share a new preprint! We address a longstanding question related to stratifying tissues:

What are the physical mechanisms that drive epidermal cell delamination?

Find out why this👇 traction force pattern emerges and how it is linked to upward cell motion: www.biorxiv.org/content/10.6...
September 1, 2026 at 4:32 PM
Reposted by Lucas Anger
biorxiv-biophys.bsky.social
Local mechanical heterogeneity drives epidermal cell delamination https://www.biorxiv.org/content/10.64898/2026.08.30.747990v1
September 1, 2026 at 12:51 PM
Reposted by Lucas Anger
biorxiv-biophys.bsky.social
Curvature-guided chiral collective organization of myoblast tissues https://www.biorxiv.org/content/10.64898/2026.08.25.747076v1
August 29, 2026 at 3:48 PM
Reposted by Lucas Anger
bladoux.bsky.social
Happy to share our new paper @natcomms.nature.com on the role of active nematics on myoblast fusion and myotube growth!
www.nature.com/articles/s41...
Amazinf work from @dubey837.bsky.social, @yoannletoquin.bsky.social and Aleksandra Ardaševa!
August 22, 2026 at 9:02 PM
Reposted by Lucas Anger
epimechfc.bsky.social
Anger, L., Schoenit, A., Wodrascka, F., Rossé, C., Mège, R.-M., Ladoux, B., & Marcq, P. (2026). Tissue stress measurements with Bayesian inversion stress microscopy. The European Physical Journal E, 49(1-2), 2. #EpithelialMechanicsReview
buff.ly/ELaOtv9
August 27, 2026 at 7:00 AM
Reposted by Lucas Anger
epimechfc.bsky.social
Tissue morphogenesis demands massive deformations, yet tissues must stay coherent. This is achieved through cell intercalation, also known as T1 transitions. But what drives them mechanically?

I'm @arturruppel.bsky.social, and I'll walk you through the physics, from whole embryos down to four cells
August 16, 2026 at 6:59 AM
Reposted by Lucas Anger
theramseylab.bsky.social
New 📄 🚨! #CellBio is teeming with simulations comprising an extraordinarily high number of components. We argue that model complexity will not automatically lead to a better understanding of biological systems & discuss how modeling practices could be repurposed: arxiv.org/abs/2608.06998 #philsci
Simulating is not always understanding: When model complexity obscures biology
In cell biology, computational models of biological systems range from minimal representations with a handful of parameters to whole-cell simulations tracking thousands of molecular species across a c...
arxiv.org
August 10, 2026 at 1:52 PM
Reposted by Lucas Anger
epimechfc.bsky.social
How do tissues safely remove cells?
Join me, @marija-matejcic.bsky.social in this perspective on the past, present and future of epithelial cell extrusion 🧵 0/16
July 26, 2026 at 7:23 AM
luanger.bsky.social
Thrilled to share our new work on the coupling between cell proliferation and intercellular stress organization! Cool collaboration between @bladoux.bsky.social / @rmmege.bsky.social lab and Doostmohammadi lab, combining experiments + simulations.
Main points below :

www.biorxiv.org/content/10.6...
A principal-stress rule for cell division in epithelia
Dense active materials, from cellular tissues to jammed and glassy systems, must continuously relieve internal mechanical stress to remain structurally stable as they are driven far from equilibrium. ...
www.biorxiv.org
July 17, 2026 at 12:01 PM
Reposted by Lucas Anger
bladoux.bsky.social
Thrilled to share our new paper on cell extrusion. A beautiful study with a tremendous amount of data, led by the fantastic @fanny-wodrascka.bsky.social !
www.biorxiv.org/content/10.6...
July 8, 2026 at 3:25 PM
Reposted by Lucas Anger
e-mondragon.bsky.social
Clearly, the use of LLMs to summarise and analyse scientific (or otherwise) documents is well justified. Their understanding is, at least, at a human level. The following example (image attached) strongly supports their intellectual capabilities.
www.nature.com/articles/d41...
April 9, 2026 at 9:35 AM
Reposted by Lucas Anger
meadekrosby.bsky.social
Some people should never have access to students.

“AI requires no ramp-ups, no meetings, and absolutely no emotional support…The issue is not whether my students are valuable. In long run, they are invaluable. The issue is that their value emerges slowly, whereas AI delivers immediate returns.”
Why I may ‘hire’ AI instead of a graduate student
“It can competently perform a lot of the work I need immediately,” this professor writes
www.science.org
March 15, 2026 at 10:05 PM
Reposted by Lucas Anger
epimechfc.bsky.social
We had covered the history of traction force microscopy (TFM) earlier:
bsky.app/profile/epim...

But what about applying TFM into more physiologically relevant systems, such as those in 3D?

I am @barrasa-fano.bsky.social and I'll be your guide through this thread on #3DTractionForceMicroscopy.
March 1, 2026 at 7:58 AM
Reposted by Lucas Anger
epimechfc.bsky.social
Barrasa-Fano, J., Shapeti, A., Apolinar-Fernández, A. et al. Guidance for 3D traction force microscopy today and in the next decade. Nat Methods (2025). #EpithelialMechanics
buff.ly/eRFLGkt
February 24, 2026 at 11:01 AM
Reposted by Lucas Anger
pflenne.bsky.social
Interested in the biophysics of organoids? We just published a review in Dev Cell—take a look! dlvr.it/TPyTb8 #Organoids #Biophysics
Biophysics of organoids
In this review, Weichselberger, Moore et al. discuss how physics-based approaches illuminate organoid development and homeostasis by integrating mechanical, chemical, and informational processes. They...
dlvr.it
January 6, 2026 at 10:27 AM
Reposted by Lucas Anger
bladoux.bsky.social
Our paper on tissue stress measurements is now out in Eur. Phys. J. E. rdcu.be/eX59E.
Great work from @luanger.bsky.social and @andreasschoenit.bsky.social and collaboration with P. Marcq @pmmh-lab.bsky.social
Code: github.com/pmarcq/BISM/ and Examples on github.com/ASmushyCell/...
January 8, 2026 at 8:59 AM
Reposted by Lucas Anger
levayerr.bsky.social
Reviewing process has always been painfull, but it will just become useless and impossible to publish if we start accepting this (we are not helping science...and better refusing to review if you have no time rather than using these tools without filter)
December 4, 2025 at 8:25 AM
Reposted by Lucas Anger
bladoux.bsky.social
Tissue stress measurements — our latest preprint is out: arxiv.org/abs/2512.00550
(publication coming soon!)
Fantastic work by the three musketeers — @luanger.bsky.social, @andreasschoenit.bsky.social and @fanny-wodrascka.bsky.social — in collaboration with P. Marcq!
Tissue stress measurements with Bayesian Inversion Stress Microscopy
Cells within biological tissue are constantly subjected to dynamic mechanical forces. Measuring the internal stress of tissues has proven crucial for our understanding of the role of mechanical forces...
arxiv.org
December 2, 2025 at 11:15 AM
Reposted by Lucas Anger
olivia.science
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n
Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues. Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA). Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe. Protecting the Ecosystem of Human Knowledge: Five Principles
September 6, 2025 at 8:13 AM