Activation in Vesicle-Mediated Signaling Shaped by Batch Arrival Statistics
Jan Hauke, Julian B. Voits, Ulrich S. Schwarz (Heidelberg University)

TL;DR
This paper presents an exact mathematical framework for understanding how stochastic vesicle release and degradation influence activation timing in cellular communication, highlighting the importance of arrival statistics beyond mean rates.
Contribution
It introduces a full probability distribution solution for batch arrival-degradation models, revealing how arrival variability affects activation kinetics in vesicle-mediated signaling.
Findings
Activation timing depends on arrival event statistics, not just mean rates.
Different arrival processes with same mean can produce distinct activation behaviors.
The framework can incorporate vesicle depletion effects.
Abstract
Vesicle-mediated secretion of ions or molecules is a central mechanism of cellular communication, for example in processes such as neurotransmission or hormone release. These events are inherently stochastic: vesicle fusions lead to bursts of variable sizes, releasing discrete packets of transmitters that are subsequently cleared or degraded. The dynamics break time-reversal symmetry due to the interplay of spontaneous bursts and continuous degradation. Using generating functions and a recursion relation, we derive an exact solution for the full time-dependent probability distribution of a general batch arrival-degradation model. This framework also enables a full analysis of first-passage times to a concentration threshold representing downstream activation. We show that activation kinetics are not determined by mean dynamics alone, but depend sensitively on the temporal statistics of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
