Tracking of STAT3 signaling for anticancer drug-discovery based on localized surface plasmon resonance

Sojin Song1, Anh H Nguyen, Jong Uk Lee

  • 1Department of Chemical and Biological Engineering, Korea University, Seoul 136-713, South Korea. simsj@korea.ac.kr.

The Analyst
|March 22, 2016
PubMed

Insights

We developed a label-free sensor to track Signal transducer and activator of transcription 3 (STAT3) protein signaling for anticancer drug discovery. This ultrasensitive system monitors STAT3 phosphorylation and dimerization, aiding in identifying effective cancer therapies.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cancer Research

Background:

  • Signal transducer and activator of transcription 3 (STAT3) protein signaling is vital for cancer cell survival, invasion, and growth.
  • STAT3 protein represents an ideal target for novel anticancer drug discovery and development.
  • Existing drug screening methods may lack the sensitivity or specificity required for complex signaling pathway analysis.

Purpose of the Study:

  • To develop a label-free sensor system for the ultrasensitive monitoring of STAT3 signaling pathways.
  • To enable real-time tracking of STAT3 phosphorylation and dimerization for anticancer drug screening.
  • To demonstrate the potential of localized surface plasmon resonance (LSPR) for label-free biosensing in drug discovery.

Main Methods:

  • Development of a label-free sensor utilizing localized surface plasmon resonance (LSPR) on gold nanoparticles.
  • Monitoring of STAT3 protein phosphorylation and dimerization through LSPR wavelength shifts (λmax).
  • Validation of the sensor system using STA-21, a known STAT3 dimerization inhibitor, and MCF-7 cancer cell lines.

Main Results:

  • The LSPR sensor detected STAT3 phosphorylation and dimerization with distinct red shifts of 3.46 nm and 9.00 nm, respectively.
  • The sensor demonstrated a three-fold reduction in LSPR shift in the presence of the STAT3 inhibitor STA-21, confirming specificity.
  • The system exhibited high specificity, reproducibility, and compatibility with real biological samples, such as the MCF-7 cell line.

Conclusions:

  • The developed label-free LSPR sensor system is effective for tracking STAT3 signaling pathways.
  • This sensor shows significant potential as an accurate and sensitive tool for anticancer drug screening.
  • The system offers a promising platform for advancing anticancer therapy development through precise molecular interaction monitoring.

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