Scientific reports

A CRISPR-based fluorescent method to detect EGFR mutations in non-small cell lung cancer

Updated

Abstract

This approach achieves a detection limit of approximately 0.35 nM, capable of identifying about 1.5% mutation in EGFR exon 19 deletion.

  • A CRISPR-based detection platform has been developed to identify mutations in the EGFR gene associated with non-small cell lung cancer.
  • The system uses guide RNAs derived from the normal EGFR gene to activate the Cas12a enzyme for mutation detection.
  • Fluorescence signal retention is linked to the frequency of mutations, with higher mutation frequencies yielding stronger signals.
  • The method offers a cost-effective and label-free option for diagnosing specific genetic alterations in cancer.
  • Integration of bimetallic nanocluster reporters with CRISPR technology may enhance molecular diagnostics for targeted therapies.

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Full Text

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Funding

Competing interests

Competing interests: The authors declare no competing interests. Use of AI-assisted technologies in the writing process declaration: Generative AI and AI-assisted technologies (specifically OpenAI’s ChatGPT) were employed solely for polishing the language, proofreading, and enhancing the readability, fluency, and overall presentation quality of the manuscript. No AI tools were used to generate scientific ideas, perform literature searches, or draw conclusions.
PubMed

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