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Related Concept Videos

Channel Rhodopsins01:11

Channel Rhodopsins

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Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...
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Real-time Monitoring of Ligand-receptor Interactions with Fluorescence Resonance Energy Transfer
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Peptide-Coated Bacteriorhodopsin-Based Photoelectric Biosensor for Detecting Rheumatoid Arthritis.

Hsiu-Mei Chen1, Yi-Hsuan Tsai2, Chien-Yi Hsu3,4,5

  • 1Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.

Biosensors
|October 27, 2023
PubMed
Summary

This study introduces a novel biosensor for rheumatoid arthritis (RA) detection. It utilizes bacteriorhodopsin to detect RA-associated autoantibodies in serum, achieving high sensitivity and specificity for early diagnosis.

Keywords:
bacteriorhodopsindiagnosispeptidephotoelectric biosensorpurple membranerheumatoid arthritis

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Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
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Area of Science:

  • Biophotonics
  • Biosensor technology
  • Immunodiagnostics

Background:

  • Early diagnosis of rheumatoid arthritis (RA) is crucial for effective patient management.
  • Current diagnostic methods may have limitations in speed or accessibility.
  • Novel biosensing platforms are needed for rapid and accurate RA detection.

Purpose of the Study:

  • To develop and validate a novel biosensor for the early detection of rheumatoid arthritis (RA).
  • To utilize bacteriorhodopsin as a photoelectric transducer for RA autoantibody detection.
  • To assess the diagnostic performance of the developed biosensor compared to established methods.

Main Methods:

  • A biosensor was fabricated by coating an electrode with a bacteriorhodopsin monolayer (purple membranes).
  • The bacteriorhodopsin layer was conjugated with a peptide recognizing RA-associated autoantibodies.
  • Photocurrent measurements were taken after serum incubation and subsequent anti-IgA gold nanoparticle labeling.

Main Results:

  • The biosensor showed a significantly larger photocurrent reduction with RA patient serum compared to healthy controls (38.1% vs. 20.2%).
  • This difference was further enhanced after anti-IgA gold nanoparticle labeling (53.6% vs. 30.6%).
  • The biosensor demonstrated high sensitivity and specificity (close to 100%) and correlated well with ELISA results.

Conclusions:

  • The developed bacteriorhodopsin-based biosensor enables effective RA detection in single- or two-step modes.
  • This novel method offers a promising approach for rapid, sensitive, and specific early diagnosis of rheumatoid arthritis.
  • The biosensor's performance suggests its potential for clinical application in RA management.