Mitochondria MicroRNA Spatial Imaging via pH-Responsive Exonuclease-Assisted AIE Nanoreporter

Jinya Du1, Yuchun Qiao1, Xiangdan Meng1

  • 1Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemical and Bioengineering, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing 100083, People's Republic of China.

Analytical Chemistry
|July 19, 2022
PubMed

Insights

We developed a novel AIE nanoreporter for imaging mitochondrial microRNAs (mitomiRs) in living cells. This pH-controlled system enables spatial signal amplification, advancing diagnostic and prognostic understanding of mitomiRs.

Area of Science:

  • Biomedical Engineering
  • Molecular Imaging
  • Nanotechnology

Background:

  • Mitochondrial microRNAs (mitomiRs) are crucial regulators of mitochondrial function.
  • Accurate spatial imaging of mitomiRs is vital for clinical applications in diagnosis and prognosis.
  • Directly monitoring mitomiRs in living cells presents significant technical challenges.

Purpose of the Study:

  • To develop a novel strategy for the spatial imaging of mitomiRs in living cells.
  • To enable pH-controlled, amplified signal detection of mitomiRs within mitochondria.
  • To facilitate the understanding of mitomiRs' role in pathological processes.

Main Methods:

  • Utilized Aggregation-Induced Emission (AIE) nanoreporters conjugated with DNA probes and exonuclease III (Exo III).
  • Employed triphenylphosphonium (TPP) for targeted delivery to alkaline mitochondria (pH ~8).
  • Implemented a pH-controlled, Exo III-assisted cyclic signal amplification triggered by mitomiR hybridization.

Main Results:

  • Successfully demonstrated spatial imaging of mitomiRs in living cells using the AIE nanoreporter system.
  • Achieved pH-controlled, spatially restricted signal amplification specifically within mitochondria.
  • Monitored fluctuations in mitomiR expression, showcasing the system's dynamic capabilities.

Conclusions:

  • The AIE nanoreporter strategy provides a facile and effective method for mitomiR imaging in living cells.
  • This approach overcomes previous limitations in direct mitomiR monitoring.
  • The technology holds potential for broad applications in studying mitomiR-related diseases and developing diagnostics.