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Updated: Jan 11, 2026

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Loop topology enables programmable apoptosis in G-quadruplex aptamers.

Ahmed Shaarawy1, Manal Fouad Ismail2, Nagwa Ibrahim Shehata2

  • 1Biochemistry Department, Faculty of Pharmacy, Misr University for Science and Technology, 6th of October City, Giza 12566, Egypt.

Bioorganic Chemistry
|November 14, 2025
PubMed
Summary

Loop architecture in G-quadruplex (G4) aptamers critically impacts biological activity. Tailoring loop topology offers a strategy for designing potent and selective nucleic acid therapeutics.

Keywords:
ApoptosisBCL2Cell cycle arrestG-quadruplex aptamerLoop topologySTAT3

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • G-quadruplex (G4) aptamers show therapeutic potential but their loop architecture's role is unclear.
  • Understanding G4 aptamer structure-activity relationships is key for developing nucleic acid therapeutics.

Purpose of the Study:

  • To compare the biological activity of two G4 aptamers with identical scaffolds but different loop topologies.
  • To investigate how loop configuration influences cytotoxicity, cell-cycle arrest, and gene expression.

Main Methods:

  • Designed and synthesized two unimolecular antiparallel G4 aptamers (2MFT and S172) with varying loop structures.
  • Assessed thermal stability, cellular potency, cytotoxicity, cell-cycle progression, and gene expression (apoptosis, STAT3, BCL2).
  • Evaluated cancer cell selectivity against normal fibroblasts.

Main Results:

  • Both aptamers showed similar thermal stability and low-nanomolar potency.
  • S172 induced faster, more pronounced cytotoxicity and G1-phase arrest with altered apoptotic gene expression.
  • 2MFT demonstrated superior selectivity for cancer cells over normal fibroblasts, suggesting a wider therapeutic window.

Conclusions:

  • Loop topology is a critical determinant of G4 aptamer intracellular activity and apoptotic activation.
  • Findings support a threshold-based model for G4-mediated apoptosis.
  • Results provide a framework for topology-driven aptamer design for next-generation therapeutics.