Click-code-seq Uncovers DNA Strand Biases in Oxidation and Depurination

A pioneering study published in Nature Chemical Biology introduces a powerful technique called Click-code-seq, which reveals previously hidden patterns in DNA damage across the human genome. This method exposes how oxidation and depurination—two common forms of DNA damage—occur with distinct biases between the two DNA strands, offering new insights into aging, cancer, and cellular stress responses.


🧬 What Is Click-code-seq?

Click-code-seq is a click-chemistry-aided sequencing method designed to map DNA modifications with single-nucleotide precision. Developed by researchers from ETH Zurich, the University of Zurich, and Technische Universität Dresden, this upgraded technique allows scientists to track:

  • Oxidized guanines (8-oxoG), a marker of oxidative stress.
  • Apurinic sites, where DNA bases are lost due to damage.

By applying Click-code-seq to human cells, the team discovered that these modifications are not evenly distributed—they show strand-specific biases linked to transcription and chromatin structure.


🧠 Why It Matters

DNA damage is a key driver of:

  • Aging
  • Neurodegeneration
  • Carcinogenesis
  • Chemotherapy drug action

Understanding where and how damage occurs helps researchers pinpoint vulnerable genomic regions and develop targeted therapies. The strand biases revealed by Click-code-seq suggest that transcribed DNA strands are more protected, while the non-transcribed strands accumulate more damage—a pattern that could influence mutation rates and disease progression.


🔍 Key Findings

  • Transcription-linked bias: Oxidation and depurination are more frequent on the non-template strand of actively transcribed genes.
  • Chromatin influence: DNA wrapped in nucleosomes shows different damage patterns than exposed regions.
  • Repair dynamics: The study hints at differential repair efficiency between strands, possibly explaining mutation hotspots.

Lead author Vakil Takhaveev noted that “Click-code-seq provides a high-resolution map of DNA damage, revealing how transcription and chromatin shape the landscape of genomic vulnerability.”


🧪 Future Applications

This technique could revolutionize how we study:

  • Cancer genomics, by identifying mutation-prone regions.
  • Aging research, through mapping age-related DNA damage.
  • Drug development, by assessing how treatments affect DNA integrity.

It also opens doors for personalized medicine, where individual DNA damage profiles could guide therapy choices.


📚 Source

This article is based on the original research published in Nature Chemical Biology on October 31, 2025. DOI: 10.1038/s41589-025-02052-6
Additional summary available via X-MOL.



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