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A heteromultivalent host-guest sensor array for cell recognition and discrimination.

Xin-Yue Hu1, Zong-Ying Hu1, Jia-Hong Tian1

  • 1College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, National Demonstration Center for Experimental Chemistry Education, Nankai University, Tianjin, 300071, China. huxinyue@nankai.edu.cn.

Chemical Communications (Cambridge, England)
|November 10, 2022
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Summary
This summary is machine-generated.

We developed a novel supramolecular sensor array using macrocyclic coassemblies for precise cell recognition. This innovative sensor successfully differentiates normal, cancerous, and contaminated cell lines by analyzing unique cellular fingerprints.

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Area of Science:

  • Supramolecular chemistry
  • Biomaterials science
  • Analytical chemistry

Background:

  • Cell classification is crucial for diagnostics and research.
  • Existing methods for cell identification can be complex and time-consuming.
  • Development of rapid and accurate cell recognition platforms is needed.

Purpose of the Study:

  • To create a supramolecular sensor array for effective cell recognition.
  • To utilize heteromultivalent macrocyclic coassemblies as building blocks for the sensor.
  • To establish a unique cellular fingerprinting method for cell classification.

Main Methods:

  • Fabrication of a supramolecular sensor array using amphiphilic calixarenes and cyclodextrin coassemblies.
  • Investigating the cross-reactivity patterns between the sensor array and various cell lines.
  • Utilizing the unique cross-reactivity as a fingerprint for cell identification.

Main Results:

  • The supramolecular sensor array demonstrated effective recognition of different cell types.
  • Unique cross-reactivity patterns were observed between the coassemblies and cells.
  • The sensor array successfully classified normal cell lines, cancerous cell lines, and cross-contaminated cells.

Conclusions:

  • Heteromultivalent macrocyclic coassemblies form a viable platform for supramolecular sensor arrays.
  • The cross-reactivity fingerprinting approach enables accurate cell classification.
  • This sensor array offers a promising tool for distinguishing between normal, cancerous, and contaminated cells.