Real-Time Single-Particle Tracking of Intracellular pH Dynamics during Ferroptosis Using Plasmonic Core-Satellite

Hua Liu1, Xiulin Fan2, Lin Wei3

  • 1School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China.

ACS Sensors
|June 12, 2025
PubMed

Insights

Researchers developed a novel DNA-programmed nanoprobe to map intracellular pH changes during ferroptosis, a cell death process. This tool reveals dynamic pH shifts, aiding the study of cell death mechanisms and cancer therapy development.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cell Biology

Background:

  • Ferroptosis is an iron-dependent cell death marked by lysosomal changes and pH imbalance.
  • Understanding intracellular pH dynamics is crucial for studying ferroptosis and developing therapies.

Purpose of the Study:

  • To develop a novel nanoprobe for real-time, single-particle mapping of intracellular pH during ferroptosis.
  • To investigate the role of pH dysregulation in ferroptosis and its modulation by mitophagy.

Main Methods:

  • Fabrication of DNA-programmed gold core-satellite nanostructures (Au CSNSs) with i-motif linkers.
  • Utilizing pH-dependent conformational changes of i-motif DNA to tune interparticle gaps and LSPR shifts.
  • Monitoring intracellular pH dynamics in cells undergoing ferroptosis, with and without mitophagy induction.

Main Results:

  • The Au CSNSs demonstrated reversible and linear pH sensing (R² = 0.97) in the relevant pH range (5.6-6.8).
  • The nanoprobe successfully mapped rapid intracellular pH changes associated with lysosomal H+ leakage during iron-induced ferroptosis.
  • Mitophagy activation accelerated and amplified ferroptosis-induced pH alterations.

Conclusions:

  • A novel DNA-programmed nanoprobe platform enables precise monitoring of intracellular pH dynamics in ferroptosis.
  • The findings highlight the critical role of pH dysregulation in ferroptosis and provide insights into mitochondria-lysosome crosstalk.
  • This platform has potential applications in cancer therapy development and understanding cell death pathways.