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arxiv: 2604.05556 · v1 · submitted 2026-04-07 · 🧬 q-bio.CB

Recognition: 2 theorem links

· Lean Theorem

Marangoni-Driven Redistribution and Activity of Piezo1 Molecules in Epithelial and Cancer Cells

Ivana Pajic-Lijakovic , Milan Milivojevic , Boris Martinac , Peter V.E. McClintock
Authors on Pith no claims yet

Pith reviewed 2026-05-10 19:17 UTC · model grok-4.3

classification 🧬 q-bio.CB
keywords Piezo1Marangoni effectfocal adhesionsepithelial cellscancer cellsmechanosensingcell migrationmembrane tension
0
0 comments X

The pith

Marangoni surface flows drive Piezo1 clustering near focal adhesions in epithelial cells while cancer cells maintain uniform high-activity distribution.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This theoretical study links the Marangoni effect to the observed redistribution of Piezo1 mechanosensitive channels in migrating cells. In epithelial cells, surface tension gradients cause Piezo1 to group around focal adhesions in a contractility-dependent way, whereas cancer cells show even distribution and elevated activity set by a different driving force. Membrane-mediated interactions among the clustered channels further modulate their function and correlate with calcium levels. A sympathetic reader would care because these physical mechanisms could explain differences in mechanosensing between normal and invasive cells without invoking purely biochemical regulation.

Core claim

The paper establishes that inhomogeneous Piezo1 distribution in epithelial cells arises from Marangoni-driven flows generated by actomyosin-induced tension gradients, concentrating channels near focal adhesions where membrane interactions then influence their activity; in cancer cells a distinct driving force produces uniform distribution together with higher expression and activity that tracks intracellular calcium.

What carries the argument

The Marangoni effect on the cell membrane, in which surface tension gradients induce tangential flows that advect Piezo1 molecules and thereby create inhomogeneous distributions modulated by focal adhesion proximity and contractility.

If this is right

  • Lowering actomyosin contractility produces more uniform Piezo1 distribution in epithelial cells.
  • Cancer-cell Piezo1 activity remains higher and uniform because its driving force differs from the epithelial case.
  • Membrane interactions among Piezo1 molecules near focal adhesions reduce or enhance their collective activity depending on local density.
  • Piezo1 activity tracks intracellular calcium concentration in both cell types.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The model suggests experiments that locally alter membrane tension gradients to test whether Piezo1 clustering can be prevented or induced on demand.
  • Similar Marangoni-like redistribution may operate in other mechanically active cells such as fibroblasts or immune cells during migration.
  • If the driving-force difference is confirmed, it could point to membrane-tension interventions that selectively dampen Piezo1 activity in cancer cells without affecting normal epithelial behavior.

Load-bearing premise

That Marangoni-driven flows and membrane-mediated interactions are the dominant physical mechanisms controlling Piezo1 placement and function, with the model capturing the key biology without needing cell-specific parameter tuning.

What would settle it

Direct measurement showing that imposed surface-tension gradients fail to alter Piezo1 spatial distribution in epithelial cells while leaving focal-adhesion contractility unchanged.

read the original abstract

The activity and distribution of Piezo1 molecules, along with the maturity and strength of focal adhesions (FAs), serve as critical factors influencing cell mechanosensing. Notably, migrating epithelial cells and mesenchymal-like cancer cells exhibit significantly different behaviors regarding these elements. In cancer cells, Piezo1 molecules are distributed uniformly, while in epithelial cells, their distribution is heterogeneous. In epithelial cells, Piezo1 molecules tend to group around FAs, a phenomenon that is enhanced by actomyosin contractility. However, a reduction in contractility results in a more uniform distribution of Piezo1 molecules. The expression and activity levels of Piezo1 molecules are markedly higher in cancer cells compared to epithelial cells. The activity of Piezo1 molecules correlates with the intracellular calcium concentration. Despite the extensive experimental studies on the properties of migrating epithelial and mesenchymal-like cancer cells, the physical explanations remain lacking. The primary objective of this theoretical study is to explore: (i) the inhomogeneous distribution of Piezo1 molecules in epithelial cells in relation to the Marangoni effect, (ii) the heightened activity of Piezo1 molecules in cancer cells by specifying the driving force, and (iii) the influence of membrane-mediated interactions among Piezo1 molecules grouped near FAs in epithelial cells on their activity.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 1 minor

Summary. The manuscript presents a theoretical exploration of Piezo1 distribution and activity differences between migrating epithelial cells (heterogeneous Piezo1 clustering near focal adhesions, contractility-dependent) and mesenchymal-like cancer cells (uniform distribution, higher expression/activity correlated with calcium). It posits that the Marangoni effect from surface-tension gradients drives the inhomogeneous redistribution in epithelial cells, a distinct driving force explains cancer-cell uniformity and elevated activity, and membrane-mediated interactions among clustered Piezo1 molecules modulate activity near FAs.

Significance. If a complete, parameter-controlled model were provided and shown to reproduce the heterogeneous-to-uniform transition and activity differences without hidden fitting, the work could supply a hydrodynamic mechanism linking membrane mechanics to mechanosensing and cell-type behaviors. This might motivate targeted experiments on surface-tension gradients in live cells. At present, the absence of any derivations, governing equations, or validation leaves the physical explanation untestable and non-unique relative to known active trafficking processes.

major comments (3)
  1. [Abstract] Abstract: the stated objectives for a 'theoretical study' are not accompanied by any governing equations, boundary conditions, or simulation results for the Marangoni flow, surface-tension gradient, or Piezo1 density evolution; without these it is impossible to verify whether the model reproduces the contractility-dependent redistribution or the activity difference as claimed.
  2. [Abstract] The central claim that Marangoni-driven passive redistribution dominates the observed patterns requires demonstration that a single-parameter hydrodynamic model captures both the epithelial clustering and the cancer-cell uniformity without additional terms for endocytosis, actomyosin anchoring, or lipid partitioning; the manuscript provides no such derivation or comparison.
  3. [Abstract] No parameter values, free-energy functional, or interaction potential for the membrane-mediated Piezo1 interactions near FAs are supplied, so the assertion that these interactions influence activity cannot be assessed for internal consistency or predictive power.
minor comments (1)
  1. [Abstract] The abstract is clear on experimental observations but would benefit from a brief statement of the mathematical approach even at this stage.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments on our manuscript. We agree that the current version, which primarily outlines the theoretical objectives, would be strengthened by explicit mathematical details. We will revise the manuscript to incorporate the requested derivations, governing equations, parameter values, and comparisons. Our point-by-point responses follow.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the stated objectives for a 'theoretical study' are not accompanied by any governing equations, boundary conditions, or simulation results for the Marangoni flow, surface-tension gradient, or Piezo1 density evolution; without these it is impossible to verify whether the model reproduces the contractility-dependent redistribution or the activity difference as claimed.

    Authors: We agree that the abstract and current manuscript text do not include these elements. In the revised version we will add a dedicated methods section presenting the full set of governing equations for the membrane hydrodynamics (including the Marangoni stress term arising from local surface-tension gradients), the advection-diffusion equation for Piezo1 density evolution, appropriate boundary conditions at focal adhesions, and representative numerical results that demonstrate contractility-dependent clustering. revision: yes

  2. Referee: [Abstract] The central claim that Marangoni-driven passive redistribution dominates the observed patterns requires demonstration that a single-parameter hydrodynamic model captures both the epithelial clustering and the cancer-cell uniformity without additional terms for endocytosis, actomyosin anchoring, or lipid partitioning; the manuscript provides no such derivation or comparison.

    Authors: We accept that such a demonstration is necessary and is currently absent. In the revision we will supply an explicit derivation showing how a hydrodynamic model driven solely by a Marangoni stress (parameterized by a single coefficient reflecting Piezo1-induced tension gradients) produces the heterogeneous-to-uniform transition when contractility is varied, and we will include a brief comparison indicating why this passive mechanism is sufficient in the regimes considered without invoking the additional active processes mentioned. revision: yes

  3. Referee: [Abstract] No parameter values, free-energy functional, or interaction potential for the membrane-mediated Piezo1 interactions near FAs are supplied, so the assertion that these interactions influence activity cannot be assessed for internal consistency or predictive power.

    Authors: We agree that the lack of these specifics prevents quantitative assessment. The revised manuscript will define the membrane-mediated interaction via an explicit short-range attractive potential (derived from lipid packing energetics), state the corresponding free-energy functional that couples to local bending and tension, and provide order-of-magnitude parameter estimates drawn from the literature together with the resulting effect on local Piezo1 activity. revision: yes

Circularity Check

0 steps flagged

No circularity: model objectives stated without self-referential derivations or fitted predictions shown

full rationale

The provided abstract and context describe a theoretical exploration linking Piezo1 distribution to the Marangoni effect and activity differences to driving forces and membrane interactions, but contain no equations, parameter-fitting procedures, self-citations, or derivation steps that reduce predictions to inputs by construction. No load-bearing claims are shown to be equivalent to their own assumptions or prior self-references. The derivation chain cannot be walked for circularity because no specific mathematical reductions or ansatzes are exhibited in the text. This is the expected non-finding for an abstract-only view of a modeling paper.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The model rests on applying fluid dynamics concepts to cell membranes; specific free parameters such as surface tension gradients or interaction strengths are likely introduced but not detailed in the abstract.

free parameters (1)
  • Marangoni coefficient or equivalent surface tension gradient parameter
    Likely fitted or chosen to match observed Piezo1 clustering in epithelial cells under varying contractility.
axioms (1)
  • domain assumption Marangoni effect governs flows in cell membranes affecting protein distribution
    Invoked to explain inhomogeneous Piezo1 distribution in epithelial cells.

pith-pipeline@v0.9.0 · 5552 in / 1257 out tokens · 52965 ms · 2026-05-10T19:17:40.181841+00:00 · methodology

discussion (0)

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Reference graph

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