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MechanoMR microparticle (M3) sensors reveal dynamic stress loading as a driver of epithelial-mesenchymal transition
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MechanoMR microparticle (M3) sensors reveal dynamic stress loading as a driver of epithelial-mesenchymal transition

Minji An, Ri Yu, Annie Lin +7 more
December 2025
 ·
bioRxiv
 ·
DOI 
10.64898/2025.12.10.693598
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Bioengineering this quarter.
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Why this is interesting

By enabling noninvasive, quantitative tissue stress mapping in vivo via MRI, this work overturns the assumption that stress magnitude drives EMT—abrupt stress surges, not peak load, are the decisive trigger of mesenchymal reprogramming.

QED claims analysis

Summary

The mechanoMR microparticle (M³) sensor enables noninvasive, spatiotemporally resolved mapping of tissue stress dynamics in vivo, revealing that abrupt stress increases, rather than cumulative or peak stress magnitude, drive epithelial-mesenchymal transition through coordinated transcriptional reprogramming that activates ROS/OXPHOS pathways while suppressing antioxidative defenses, whereas gradual stress loading activates cytoprotective programs that reinforce epithelial stability.

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Main Claim 1 –

MechanoMR Transduction Links Higher Stress to Lower MR Relaxivity

Supporting evidence

  • M³ Sensors Retain Reliable MR Signals During Xenopus Development
Main Claim 2 –

M³ Sensors Map Spatiotemporal In Vivo Tumor Stress Heterogeneity

Supporting evidence

  • Cancer Cell Type Determines Distinct Spheroid Stress Accumulation Kinetics
  • Fibrotic Matrix Remodeling Accelerates Compressive Stress Buildup
Main Claim 3 –

Abrupt Stress Increases, Not Peak Stress, Drive EMT Induction

Supporting evidence

  • EMT Triggers Stress Release via Solid-to-Fluid Unjamming
  • EMT-Rich Tumor Regions Show Reduced Local Stress and Fluidity
  • Acute Compression Enhances Biochemically Induced EMT Versus Gradual Loading
Main Claim 4 –

Acute Stress Activates ROS/OXPHOS and Suppresses Antioxidation, Priming EMT

Abstract

The dynamic mechanical response of tissues underlies their physiological function, yet direct, quantitative measurement of tissue stress in vivo has remained a major challenge. Here, we introduce the mechanoMR microparticle (M3, “M-cube”) sensor, a hybrid soft-matter/nanoparticle probe that integrates directly into tissue mechanical networks while transducing local stress into quantitative magnetic resonance (MR) readouts with single-particle resolution. We demonstrate the utility of this platform across diverse model systems, including tumor spheroids, Xenopus embryos, and mouse xenografts, where the M3 sensor enables noninvasive, spatiotemporally resolved mapping of tissue stress dynamics during cancer development. Using this approach, we reveal that epithelial-mesenchymal transition (EMT) is accompanied by distinctive stress-remodeling patterns observable in vivo. Strikingly, we find that abrupt stress increases, rather than cumulative or peak stress magnitude, are the key determinants of EMT induction in cancer cells within the tumor microenvironment. Transcriptomic profiling under controlled stress-loading dynamics shows that sustained yet gradual stress escalation activates cytoprotective antioxidation pathways (e.g., FOXO/AMPK) that reinforce epithelial stability, whereas acute stress surges overwhelm these defense mechanisms, predisposing cells toward mesenchymal reprogramming. These findings establish the M3 sensor as a broadly applicable technology for linking dynamic mechanical cues to cell-state transitions in development, homeostasis, and disease.

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