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March 17, 2026Nature Communications2 citationsOpen Access

Synthetic aptamer mechanoreceptors enable cell-specific force sensing and temporal control via DNA circuits

TXTao XuSSSoumya SethiCDChristoph Drees

Key Points

  • The research aims to develop a synthetic mechanosensing system that is both cell-specific and programmable for detecting mechanical cues.
  • Designed an all-DNA mechanosensing platform using aptamers.
  • Utilized aptamer-receptor recognition for force transduction.
  • Integrated DNA reaction networks to create programmable mechanoresponses.
  • Evaluated the effectiveness of the mechanoprobes in different cellular mechanisms.
  • Demonstrated cell-type selectivity in mechanosensing.
  • Achieved reversible and temporally programmable responses to mechanical inputs.
  • Expanded the possibilities for synthetic mechanobiology applications.

Abstract

Abstract Cells interpret mechanical cues from their microenvironment with spatiotemporal precision to guide adaptive behaviors. However, engineering synthetic mechanosensing systems with both cell-specificity and programmability remains challenging, especially when targeting ubiquitous classical mechanoreceptors. Here, we introduce an all-DNA mechanosensing platform based on aptamers that transmit force through noncanonical surface receptors. Aptamer–receptor recognition acts as a molecular gate for force transduction, enabling the design of mechanoprobes with cell-type selectivity. These probes interpret diverse mechanical inputs via distinct mechanisms, including actomyosin-driven contractility and membrane ruffling during macropinocytosis. By integrating aptamer mechanoprobes with upstream DNA reaction networks, we achieve reversible and temporally programmable mechanoresponses. This modular, all-nucleic-acid system offers a general framework for constructing tunable mechanotransduction circuits. It expands the design space for synthetic mechanobiology and provides opportunities for autonomous, multi-layered mechanical–biochemical regulation in tissue engineering, morphogenesis, and dynamic cell programming.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69b8f10fdeb47d591b8c5dd6https://doi.org/10.1038/s41467-026-70765-w
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