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Related Experiment Video

Updated: Aug 17, 2025

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Ensemble Modified Aptamer Based Pattern Recognition for Adaptive Target Identification.

Jing Chen1, Ying Xiang1, Peipei Wang1

  • 1Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China.

Nano Letters
|December 16, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed ensemble modified aptamers (EMAmers), a novel sensing platform mimicking protein recognition. This innovative approach achieves high accuracy in identifying proteins, bacteria, and cells, overcoming limitations in diagnostic and proteomic applications.

Keywords:
chemical nose sensorensemble modified aptamerspattern recognitionphosphorothioate modificationsensing receptors

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Area of Science:

  • Biotechnology
  • Chemical Biology
  • Molecular Recognition

Background:

  • Designing artificial sensing receptors for diagnostics and proteomics is challenging due to molecular design and synthesis complexities.
  • Existing methods often lack the specificity and adaptability required for complex biological samples.

Purpose of the Study:

  • To introduce a novel concept of "ensemble modified aptamers" (EMAmers) for discriminative identification of molecular and cellular targets.
  • To develop a versatile sensing platform that overcomes the limitations of traditional artificial sensing receptors.

Main Methods:

  • Incorporating protein-like hydrophobic functional groups at specific positions on nucleic acid scaffolds to create EMAmers.
  • Assaying 18 EMAmer probes for differential binding affinities to seven proteins.
  • Constructing and validating an EMAmer-based chemical nose sensor for identifying unknown samples.

Main Results:

  • EMAmers demonstrated differential binding affinities to various proteins.
  • The EMAmer-based sensor achieved 92.9% accuracy in blinded protein identification.
  • The sensor showed high accuracy in identifying blinded bacterial (96.3%) and cellular (94.8%) samples.

Conclusions:

  • Ensemble modified aptamers offer a powerful and adaptable platform for molecular and cellular target identification.
  • This sensing technology holds significant potential for diverse diagnostic and proteomic applications.
  • The EMAmer approach provides a discriminative means for adaptive target recognition in complex biological systems.