Accurate and sensitive total genomic DNA methylation analysis from sub-nanogram input with embedded SERS nanotags

Yuling Wang; Eugene J H Wee; Matt Trau

doi:10.1039/c6cc00547k

Accurate and sensitive total genomic DNA methylation analysis from sub-nanogram input with embedded SERS nanotags

Yuling Wang^*, Eugene J H Wee, Matt Trau

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

Abstract

Sensitive and accurate total genomic DNA methylation analysis was demonstrated by surface-enhanced Raman scattering (SERS) via embedded internal SERS nanotags. The assay was sensitive to 0.2 ng input DNA while differentiating as low as 6.25% changes in DNA methylation. The method could also successfully differentiate cells before and after de-methylating drug-treatment and between tumor and normal biopsies.

Original language	English
Pages (from-to)	3560-3563
Number of pages	4
Journal	Chemical Communications
Volume	52
Issue number	17
DOIs	https://doi.org/10.1039/c6cc00547k
Publication status	Published - 28 Feb 2016
Externally published	Yes

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abstract = "Sensitive and accurate total genomic DNA methylation analysis was demonstrated by surface-enhanced Raman scattering (SERS) via embedded internal SERS nanotags. The assay was sensitive to 0.2 ng input DNA while differentiating as low as 6.25% changes in DNA methylation. The method could also successfully differentiate cells before and after de-methylating drug-treatment and between tumor and normal biopsies.",

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AB - Sensitive and accurate total genomic DNA methylation analysis was demonstrated by surface-enhanced Raman scattering (SERS) via embedded internal SERS nanotags. The assay was sensitive to 0.2 ng input DNA while differentiating as low as 6.25% changes in DNA methylation. The method could also successfully differentiate cells before and after de-methylating drug-treatment and between tumor and normal biopsies.

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Accurate and sensitive total genomic DNA methylation analysis from sub-nanogram input with embedded SERS nanotags

Abstract

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