Colorimetric detection of mutations in epidermal growth factor receptor using gold nanoparticle aggregation

Hosub Lee, Taegyeong Kang, Kyong Ah Yoon, So Yeong Lee, Sang Woo Joo, Kangtaek Lee

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

Wehave detected mutations in the epidermal growth factor receptor (EGFR) of non-small cell lung cancer cells using the selective aggregations of gold nanoparticles. Mutations in exon 19 and exon 21 of EGFR gene were detected in non-amplified genomic DNAs that were isolated from both the lung cancer cell lines and the cancer tissues of non-small cell lung cancer patients. At the optimal salt concentration, addition of the mutant DNA that was hybridized with the complementary probe into the suspension of unmodified gold nanoparticles caused the substantial aggregation of the gold nanoparticles and the color change of solution. Gold nanoparticles, however, did not exhibit significant aggregation, and the solution color remained unchanged with the addition of the wild type DNA that was hybridized with the probe. In the eight specimens from non-small cell lung cancer patients, we could detect the in-frame deletion mutant form in exon 19 and the L858R point mutation in exon 21 by selective aggregation with gold nanoparticles. These results were also confirmed by an independent direct sequencing method using a DNA analyzer. We found that selective aggregation with gold nanoparticles could be successfully applied to direct detection of EGFR mutations in non-amplified genomic DNAs.

Original languageEnglish
Pages (from-to)1669-1674
Number of pages6
JournalBiosensors and Bioelectronics
Volume25
Issue number7
DOIs
Publication statusPublished - 2010 Mar 15

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

Fingerprint Dive into the research topics of 'Colorimetric detection of mutations in epidermal growth factor receptor using gold nanoparticle aggregation'. Together they form a unique fingerprint.

  • Cite this