Dagmar Iber & CoBi

Dagmar Iber & CoBi

@iberd.bsky.social

Computational Biology @ETH: data-driven modeling & simulation of emerging phenomena in development & disease https://bsse.ethz.ch/cobi https://youtube.com/@cobi-ethz

446 followers401 following71 posts

Dagmar Iber & CoBi reposted

🎉 Our paper is out in Cell Systems @cp-cellsystems.bsky.social ! How does an embryo build an energy-efficient fractal lung before the first breath? 📄 doi.org/10.1016/j.ce... 🧵 bsky.app/profile/iberd.bsky.social/post/3lfrdth6k4c22 @maltemederacke.bsky.social @kevinyamauchi.bsky.social

doi.orgRedirecting
Dagmar Iber & CoBi@iberd.bsky.social

How does an #embryo build an energy-efficient #fractal #lung in time for the first breath at birth? 🫁 Discover the mechanical forces shaping the bronchial tree in our latest preprint: #LungDevelopment #Mechanobiology doi.org/10.1101/2025... 👇Thread 🧵(1/9)

Local mechanical forces — not a genetic programme — explain the fractal architecture of the lung. Uniform shear stress, hoop stress & equal pressure drops: three simple physical rules that build the whole tree, from embryo to adult, mouse to human. 🐭🧑‍⚕️ The same rules explain COPD remodelling. 🫁

Dagmar Iber & CoBi reposted

Dagmar Iber & CoBi reposted

One unified mathematical framework, patterns in 1D/2D/3D, faster than Turing. 🧵 Thread: bsky.app/profile/iber... 📄 Paper: 10.1016/j.newton.2026.100557 ⚙️COMSOL: www.comsol.com/paper/simula...

comsol.comSimulating Organogenesis in COMSOL Multiphysics®: Tissue Patterning with Directed Cell Migration
Dagmar Iber & CoBi@iberd.bsky.social

How can cells self-organize rapidly into complex patterns during development? Let’s explore a powerful and underappreciated mechanism: Directed Cell Migration (DCM). Preprint @biorxivpreprint.bsky.social : doi.org/10.1101/2025... 👇Thread 🧵(1/11)

🧰 New tool alert! ⚙️ #MorphoGrad, an open-source toolbox for simulating reaction–diffusion systems in 1D and 2D tissues, with cell-to-cell parameter heterogeneity & graphical user interface. No heavy coding required. Explore complex morphogen gradient models interactively. doi.org/10.1016/j.xp...

cell.comMorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variabilityStudying morphogen gradient-based tissue patterning in silico while accounting for biological variability remains challenging. Here, we present a MATLAB-based protocol for simulating steady-state morp...
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Smaller cells widen the #transition #zone. The tradeoff between morphogen gradient precision and transition zone sharpness may explain why epithelial cell diameters don't shrink further in developing tissues. 🧵 Thread: bsky.app/profile/iber... 📄 Paper: www.biorxiv.org/content/10.6...

biorxiv.orgDeterminants of the Transition Zone Width of Morphogen ReadoutsIn tissue patterning, cell fate boundaries often form transition zones with mixed or gradual fates rather than sharp demarcations. Traditionally, such zones in morphogen-driven systems were attributed...
Dagmar Iber & CoBi@iberd.bsky.social

By matching simulations with measurement of #TZW & #positional #error, we inferred kinetic and readout noise levels - and found them in the reported range. This further supports that reliable long-range morphogen patterning is feasible with physiological noise levels: x.com/DagmarIber/s... 🧵 5/6

🧰 New tool alert! ⚙️ #MorphoGrad, an open-source toolbox for simulating reaction–diffusion systems in 1D and 2D tissues, with cell-to-cell parameter heterogeneity & graphical user interface. No heavy coding required. Explore complex morphogen gradient models interactively. doi.org/10.1016/j.xp...

cell.comMorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variabilityStudying morphogen gradient-based tissue patterning in silico while accounting for biological variability remains challenging. Here, we present a MATLAB-based protocol for simulating steady-state morp...
View full thread

🧰 New tool alert! ⚙️ #MorphoGrad, an open-source toolbox for simulating reaction–diffusion systems in 1D and 2D tissues, with cell-to-cell parameter heterogeneity & graphical user interface. No heavy coding required. Explore complex morphogen gradient models interactively. doi.org/10.1016/j.xp...

cell.comMorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variabilityStudying morphogen gradient-based tissue patterning in silico while accounting for biological variability remains challenging. Here, we present a MATLAB-based protocol for simulating steady-state morp...
View full thread

🧰 New tool alert! ⚙️ #MorphoGrad, an open-source toolbox for simulating reaction–diffusion systems in 1D and 2D tissues, with cell-to-cell parameter heterogeneity & graphical user interface. No heavy coding required. Explore complex morphogen gradient models interactively. doi.org/10.1016/j.xp...

cell.comMorphoGrad: A MATLAB toolbox for simulating steady-state morphogen gradients under cell-to-cell variabilityStudying morphogen gradient-based tissue patterning in silico while accounting for biological variability remains challenging. Here, we present a MATLAB-based protocol for simulating steady-state morp...

🔧 What can #MorphoGrad do? ✅ 1D & 2D reaction–diffusion in cell-based epithelial geometries ✅ Cell-to-cell variability in diffusion, production & degradation ✅ Parameter sweeps & statistical analysis ✅ Gradient variability & positional error ✅ GUI for non-coders Built for robustness & precision.

✅ Open source ✅ Gradient-based optimisation via backpropagation ✅ Works on tissues too large to fully image ✅ Applied to 5 mouse epithelial tissues 💡 The ratio of apical to lateral surface tension predicts cell shape across epithelial subtypes: single parameter yields broad morphological diversity

The @ethz.ch Animal Facility featured our work on how the lung gets its energy-efficient shape and how it remodels in disease like COPD 🐭🫁 — as part of their spotlight on responsible animal research. 🧵(1/4)

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We're fully committed to 3Rs: ♻️ Replace – comp models & simulations go beyond what animal data alone could reveal 📉 Reduce – just 7 pregnant females (severity degree 0) & reuse of 20-year-old datasets instead of new experiments 🔬 Refine – SkelePlex & our pipeline extract max insight from min data

For the science, see our Tweetorial 🧵: bsky.app/profile/iber... Kudos to the @ethz.ch Animal Facility for championing transparency! 🙏 #3Rs #AnimalWelfare #LungDevelopment #COPD

Dagmar Iber & CoBi@iberd.bsky.social

How does an #embryo build an energy-efficient #fractal #lung in time for the first breath at birth? 🫁 Discover the mechanical forces shaping the bronchial tree in our latest preprint: #LungDevelopment #Mechanobiology doi.org/10.1101/2025... 👇Thread 🧵(1/9)

The @ethz.ch Animal Facility featured our work on how the lung gets its energy-efficient shape and how it remodels in disease like COPD 🐭🫁 — as part of their spotlight on responsible animal research. 🧵(1/4)

What determines the sharpness of cell fate boundaries in gradient-based patterning? We quantified #transition #zone #widths (TZW) across seven progenitor domain boundaries spanning the entire dorsal-ventral axis of the developing #mouse #neural #tube. Preprint: doi.org/10.64898/202... 🧵 1/6

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By matching simulations with measurement of #TZW & #positional #error, we inferred kinetic and readout noise levels - and found them in the reported range. This further supports that reliable long-range morphogen patterning is feasible with physiological noise levels: x.com/DagmarIber/s... 🧵 5/6

What determines the sharpness of cell fate boundaries in gradient-based patterning? We quantified #transition #zone #widths (TZW) across seven progenitor domain boundaries spanning the entire dorsal-ventral axis of the developing #mouse #neural #tube. Preprint: doi.org/10.64898/202... 🧵 1/6

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Our theoretical & computational analysis shows that #TZW is primarily set by #noise in the #cellular #readout process, not by fluctuations in the morphogen gradient itself. For exponential gradients, a noisy readout threshold naturally yields a position-independent TZW. 🧵 3/6

We uncover a trade-off regarding cell size: • Larger cells yield sharper boundaries (smaller #TZW) • Smaller cells reduce variability in boundary position between embryos (lower positional error) The measured cell size in the neural tube perfectly balances boundary sharpness and precision. 🧵 4/6

What determines the sharpness of cell fate boundaries in gradient-based patterning? We quantified #transition #zone #widths (TZW) across seven progenitor domain boundaries spanning the entire dorsal-ventral axis of the developing #mouse #neural #tube. Preprint: doi.org/10.64898/202... 🧵 1/6

According to prevailing theory, transition zones should widen exponentially with distance from the morphogen source, due to stochastic effects at low morphogen copy numbers. #Contrary, we find that #TZW remains about #constant, independent of readout position and developmental timepoint. 🧵 2/6

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This complements our earlier work introducing the DCM model 👉 bsky.app/profile/iber... That previous paper focused on the biological questions and mathematical framework. Here, we focus on the practical COMSOL #PIDE implementation: setup, BCs, 1D–3D, and Lagrangian reformulation for growth.

Dagmar Iber & CoBi@iberd.bsky.social

How can cells self-organize rapidly into complex patterns during development? Let’s explore a powerful and underappreciated mechanism: Directed Cell Migration (DCM). Preprint @biorxivpreprint.bsky.social : doi.org/10.1101/2025... 👇Thread 🧵(1/11)

Dagmar Iber & CoBi reposted

Our paper "Morphogen gradients can convey position and time in growing tissues" is now out in Newton ‪@cp-newton.bsky.social‬ Quite fitting to see this novel idea that morphogen gradients not only encode position, but can also time & synchronise development over long distances out in a new journal.