Recent papers on Developmental Biology

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

  1. 2026
  2. : <i>Vertebrate Pattern Formation. Current Topics in Developmental Biology, Volume 159</i>

    2026 · The Quarterly Review of Biology · Richardson, Michael K.

    2026
  3. Human retinal organoids: from developmental biology to translational applications

    2026 · Experimental Eye Research · Chen, Yingying, Zhang, Li, Jiang, Feipeng et al.

    2026
  4. 2026
  5. Morphogenetic Harness: What LLM Agents Should and Should Not Borrow from Developmental Biology

    2026 · Zenodo (CERN European Organization for Nuclear Research) · xiao, yuhang, Chang, Xinrui

    2026
  6. The Society for Craniofacial Genetics and Developmental Biology 48th Annual Meeting

    2026 · American Journal of Medical Genetics Part A · Artinger, Kristin, Fantauzzo, Katherine A., Merrill, Amy E. et al.

    2026
  7. Evo-Devo in Biomedicine: How Evolutionary Developmental Biology is Revolutionizing Drug Discovery

    2026 · Zenodo (CERN European Organization for Nuclear Research) · science, developmental biological

    2026
  8. MorphoAgent: Developmental Biology as Computational Architecture for Self-Organizing LLM-Based Digital Organisms

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Feng, Ming, Chang, Xinrui

    2026
  9. Lights up on the embryonic dance: tools and applications of optogenetics in developmental biology

    2026 · Genes & Development · Gao, Yang, Ho, Emily K., Toettcher, Jared E.

    2026
  10. The Relevance and Resilience of Evo‐Devo in 2025: The Biennial Meeting of the Pan American Society for Evolutionary Developmental Biology

    2026 · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · Rebeiz, Mark, Brisson, Jennifer A., Amemiya, Chris T. et al.

    2026
  11. "From Genomic Equivalence to Quantum Condensation: A Unified Mathematical Framework for Emergent Order in Biology and Physics" ALTERNATIVE TITLES Option 1 (Conceptual Focus) "The Information-Bearing Unit: Parallels Between Somatic Cell Reprogramming and Cooper Pair Condensation" Option 2 (Mathematical Focus) "Landau-Ginzburg Theory Across Domains: Isomorphic Dynamics of Cellular Reprogramming and Superconductivity" Option 3 (Philosophical Focus) "Latent Information and Emergent Order: How a Frog Egg and a Cooper Pair Reveal Universal Principles" Option 4 (Short Version) "Reprogramming and Condensation: A Cross-Disciplinary Correspondence" Option 5 (Comprehensive) "From Gurdon's Nucleus to BCS Theory: Mathematical Isomorphism in the Emergence of Macroscopic Order" Option 6 (Pedagogical) "Bridging Biology and Physics: Visualizing the Common Mathematical Structure of Cellular Reprogramming and Superconductivity" Option 7 (Metaphorical) "The Seed and the Pair: How Information Latency Gives Rise to Organized States Across Nature" SUBTITLE A Comprehensive 10-Panel 3D Visualization Demonstrating the Mathematical Isomorphism Between Nuclear Reprogramming (Genomic Equivalence) and Superconducting Condensation (Cooper Pair Formation) DETAILED DESCRIPTION Overview This composite figure presents a systematic visual exploration of the deep mathematical correspondence between two foundational scientific discoveries: John Gurdon's demonstration of genomic equivalence (1962) and the BCS theory of superconductivity (1957). Through ten meticulously crafted three-dimensional visualizations, the figure illustrates that despite operating in vastly different domains—developmental biology and condensed matter physics—both phenomena can be described by identical mathematical frameworks drawn from Landau-Ginzburg theory, nonlinear dynamics, and statistical physics. The central thesis visualized across all ten panels is that information-bearing units (the somatic cell nucleus in biology and the Cooper pair in superconductivity) exist in a latent state containing complete information for macroscopic order, which becomes expressed under appropriate external triggers through processes governed by identical mathematical equations. Panel-by-Panel Description Panel 1: Landau Free Energy Landscape – The Bistable Potential Title: (1) Landau Free Energy Landscape: Superconductivity ↔ Reprogramming Description: This panel visualizes the foundational Landau free energy functional F ( η , τ ) = τ 2 η 2 + 1 4 η 4 F(η,τ)= 2 τ η 2 + 4 1 η 4 , which serves as the common thermodynamic potential for both systems. The 3D surface shows a supercritical pitchfork bifurcation: for τ > 0 τ>0 (control parameter above critical), the landscape has a single minimum at η = 0 η=0, representing the disordered state (normal metal or differentiated cell). For τ < 0 τ<0, the landscape develops two symmetric minima at η = ± − τ η=± −τ , representing the ordered state (superconducting or pluripotent). This universal potential describes how systems spontaneously break symmetry when crossing a critical threshold. The colormap transitions from purple (low energy) to yellow (high energy), clearly delineating the energy barrier that must be overcome during the transition. Key Insight: The same mathematical potential governs both the emergence of superconductivity in a metal cooled below T c T c and the reprogramming of a differentiated cell exposed to Yamanaka factors. Panel 2: Pitchfork Bifurcation – Order Parameter Evolution Title: (2) Pitchfork Bifurcation: Order Parameter Evolution Description: This panel illustrates the dynamic evolution of the order parameter ∣ η ∣ ∣η∣ as a function of both the control parameter τ τ and time. The surface reveals the characteristic pitchfork bifurcation—a fundamental pattern in nonlinear dynamics where a stable fixed point becomes unstable and gives birth to two new stable branches. The vertical axis shows the magnitude of the order parameter (superconducting gap Δ Δ or pluripotency factor Φ Φ), which grows continuously from zero as τ τ crosses the critical value. Stochastic noise is incorporated to reflect the inherent fluctuations in both systems: thermal fluctuations near T c T c in superconductors and stochastic gene expression during cellular reprogramming. Key Insight: The transition from the latent state to the expressed state follows an identical mathematical pathway characterized by the scaling relation ∣ η ∣ ∼ ∣ τ ∣ 1 / 2 ∣η∣∼∣τ∣ 1/2 , a signature of mean-field critical behavior. Panel 3: Heterogeneous Nucleation Barrier – Defect-Mediated Transitions Title: (3) Heterogeneous Nucleation Barrier: Superconducting Nuclei ↔ Reprogramming Foci Description: This panel visualizes the free energy barrier Δ F ∗ ΔF ∗ for heterogeneous nucleation as a function of nucleus radius and wetting angle θ θ. In both systems, the transition from the latent state to the expressed state ra

    2026 · Zenodo (CERN European Organization for Nuclear Research) · geruganti, sudhakar

    2026
  12. Histogenetics in Teaching the Complexity of Developmental Biology to Dental Students: A Study Merging Traditional and Current Approaches

    2026 · Dentistry Journal · Kristoffersen, Camilla Sofia Miranda, Ziesler, Camilla Elise Øxnevad, Thune, Noora Helene et al.

    2026
  13. A comparative study of morphological characterization and developmental biology of Maruca vitrata (Fabricius, 1787) populations across India

    2026 · Journal of Environmental Biology · Mahalle, R.M., Burange, P.S., Premkumari, S. et al.

    2026
  14. Developmental biology of the Ediacaran <i>Megaclonophycus</i> from the Weng’an Biota

    2026 · Biology Letters · Flett, Kirsten E., Cracknell, Kelsie, Yamahuchi, Johnny S. Clavo et al.

    2026
  15. Advancing live cell phenotyping for cancer and developmental biology via label-free Raman spectroscopy and phase tomography

    2026 · Bresci, Arianna, Sorrentino, Salvatore, Kobayashi-Kirschvink, Koseki J. et al.

    2026
  16. 2026
  17. EvoDevo Papers: a literature bot for evolutionary developmental biology

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Vellutini, Bruno C.

    2026

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