Recent papers on transitions state cell rare tabula

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

  1. Single-cell, label-free morphology profiling of iPSC-derived microglia reveals dynamic state transitions

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Chen, Tingting, Li, Xiaopeng, Dolga, Amalia M.

    2026
  2. Quantification and statistical comparison of cell-state transition kinetics using a parametric failure-based model

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Strawbridge, Stanley E., Fletcher, Alexander G.

    2026
  3. Interplay between high‐energy quenching and state transitions in <i>Chlamydomonas reinhardtii</i> : a single‐cell approach

    2026 · New Phytologist · Lahlou, Aliénor, Orlando, Marcelo, Bujaldon, Sandrine et al.

    2026
  4. "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
  5. Esophageal epithelial cell-state transitions underlie the severity of pediatric eosinophilic esophagitis

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Wang, Yu, Sinha, Manish Kumar, Ghattas, Peter et al.

    2026
  6. A Structural Audit Framework for Cell-State Transition in Cancer Microenvironments

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Chung, Sung Sil

    2026
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  8. Identifying cancer cell-state transitions from multimodal single-cell data

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Baselli, Guido, Alekseenko, Alisa, Liaño-Pons, Judit et al.

    2026
  9. Human iPSC-based Modeling of Pulmonary Fibrosis Reveals p300/CBP Inhibition Suppresses Alveolar Transitional Cell State

    2026 · Nature Communications · Tsutsui, Yusuke, Masui, Atsushi, Konishi, Satoshi et al.

    2026
  10. Autoregressive forecasting of future single-cell state transitions

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Luo, Erpai, Gao, Haoxiang, Bian, Haiyang et al.

    2026
  11. Dissecting reversible and irreversible single cell state transitions from gene regulatory networks

    2026 · Molecular Systems Biology · Ramírez, Daniel A., Lu, Mingyang

    2026
  12. AI driven 3D subcellular RPE map discovers cell state transitions in establishment of apical-basal polarity

    2026 · npj Artificial Intelligence · Ortolan, Davide, Sathe, Pushkar S., Volkov, Andrei et al.

    2026
  13. Obesity- and tumor-derived signals drive cancer-associated state transitions in breast mesenchymal stromal/stem cells reprogrammed by IL1RA or JAK inhibition

    2026 · Experimental Hematology and Oncology · Ritter, Andreas, Hoock, Samira Catharina, Kreis, Nina‐Naomi et al.

    2026
  14. BPS2026 – ESPRESSO: Spatiotemporal omics based on organelle phenotyping reveals dynamic cell state transitions

    2026 · Biophysical Journal · Scipioni, Lorenzo, Tedeschi, Giulia, Navarro, Mariana X. et al.

    2026
  15. H4K20me3 and CTCF act reciprocally at TAD boundaries to regulate cell state transitions

    2026 · bioRxiv (Cold Spring Harbor Laboratory) · Atai, Kaiser, Mitra, Mithun, Bohn, Eliana et al.

    2026
  16. From Mineral–Membrane Interactions in the Anoxic World to State Transitions in the Oxic Cell

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Mikuláš, Peter

    2026

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