Gold nanoparticle-based colorimetric assay for cancer diagnosis

Jeong Hun Kang, Yoji Asami, Masaharu Murata, Hirotaro Kitazaki, Noriaki Sadanaga, Eriko Tokunaga, Satoko Shiotani, Satoko Okada, Yoshihiko Maehara, Takuro Niidome, Makoto Hashizume, Takeshi Mori, Yoshiki Katayama

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)

Abstract

A novel gold nanoparticle (GNP)-based colorimetric assay was developed for cancer diagnosis. This system is based on the noncrosslinking aggregation mechanism with a cationic protein kinase C (PKC) α-specific peptide substrate, which is used as a coagulant of citrate-coated GNP with anionic surface charges. The phosphorylation of peptide substrates by PKCα suppressed GNP aggregation, resulting in a red color, but in the case of non-phosphorylation, the color of the GNP solution changed from red to blue, indicating particle aggregation. Moreover, a correlation between the color change of the GNP dispersions and the level of activated PKCα was identified from experiments using cancer cell lines, or xenografted mouse cancer and normal mouse tissues. When our system was applied to human breast cancers and normal human breast tissues, cancer tissue lysates became red in color, indicating GNP dispersion, while all lysates from normal tissue turned the GNP solution blue. MALDI-TOF MS analysis and Western blotting experiment confirmed that these different results between cancer and normal tissues reflected the difference in PKCα activity. This study is the first report on the application of the GNP-based colorimetric assay to the diagnosis of cancer.

Original languageEnglish
Pages (from-to)1869-1874
Number of pages6
JournalBiosensors and Bioelectronics
Volume25
Issue number8
DOIs
Publication statusPublished - Apr 15 2010

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

Fingerprint

Dive into the research topics of 'Gold nanoparticle-based colorimetric assay for cancer diagnosis'. Together they form a unique fingerprint.

Cite this