e^-2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates
- 1Sichuan Agricultural University
Abstract
Cells use ATP-driven chaperones to extract clients from biomolecular condensates selectively, yet no closed-form criterion links molecular parameters to condensate quality control. We derive a minimal non-equilibrium sorting reactor model that reduces the reaction-diffusion dynamics to one algebraic equation. In the idealized low-load limit, a concentration-dependent partition coefficient produces a saddle-node bifurcation between functional clearance and pathological storage. The critical Damk\"ohler number is Da0c=e−2 and is independent of the feedback strength. Corrections shift the value but preserve the topology. The model predicts a Kramers-type functional lifetime and recovery costs that scale as R3. Critical slowing down near the bifurcation provides early-warning signatures for FCS and FRAP.
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BibTeX
@misc{chen2026threshold,
title = {{e^-2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates}},
author = {W. Chen and S. Pei and G. Yu},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.28.754880},
url = {https://www.biorxiv.org/content/10.64898/2026.09.28.754880v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - e^-2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates
AU - W. Chen
AU - S. Pei
AU - G. Yu
PY - 2026
DA - 2026/09/28
PB - bioRxiv
DO - 10.64898/2026.09.28.754880
UR - https://www.biorxiv.org/content/10.64898/2026.09.28.754880v1
AB - Cells use ATP-driven chaperones to extract clients from biomolecular condensates selectively, yet no closed-form criterion links molecular parameters to condensate quality control. We derive a minimal non-equilibrium sorting reactor model that reduces the reaction-diffusion dynamics to one algebraic equation. In the idealized low-load limit, a concentration-dependent partition coefficient produces a saddle-node bifurcation between functional clearance and pathological storage. The critical Damk\"ohler number is Da_0c=e^−2 and is independent of the feedback strength. Corrections shift the value but preserve the topology. The model predicts a Kramers-type functional lifetime and recovery costs that scale as R^3. Critical slowing down near the bifurcation provides early-warning signatures for FCS and FRAP.
ER -