Abstract
MoS2 nanomaterial has unique properties, including innate affinity with ss-DNA and quenching ability for fluorescence dyes. Here, we present the development of a simple fluorescence biosensor based on water-soluble MoS2 nanosheets and restriction endonuclease BstUI for methylation analysis of p16 promoter. The biosensing platform exhibited excellent sensitivity in detecting DNA with a linear range of 100 pM~20 nM and a detection limit of 140 pM. More importantly, our method could distinguish as low as 1% difference in methylation level. Compared with previous methylation analysis, our design is both time saving and simple to operate, avoiding the limitations of PCR-based assays without compromising performance.
Highlights
The process of DNA methylation is an essential part of epigenetics that plays critical roles in many biological events, such as gene transcription, X-chromosome inactivation, and genomic imprinting [1,2,3]
The initiation of a tumor is often accompanied by abnormal rise of methylation levels of CpG islands near tumor suppressor genes, which leads to their inactivation [6,7,8]
Microscopy (TEM) image showed the stability of MoS2 nanosheets dispersion in aqueous solutions and revealed that was a two-dimensional thinare nanosheet
Summary
The process of DNA methylation is an essential part of epigenetics that plays critical roles in many biological events, such as gene transcription, X-chromosome inactivation, and genomic imprinting [1,2,3]. DNA methylation occurs mainly in CpG-rich regions, known as. CpG islands, which is usually located in the promoter region or near the first exon of transcriptional regulatory genes [4,5,6]. Aberrant methylation of CpG islands was proven to be closely associated with the occurrence of human diseases, cancers [7,8]. The initiation of a tumor is often accompanied by abnormal rise of methylation levels of CpG islands near tumor suppressor genes, which leads to their inactivation [6,7,8]. The change of methylation status in CpG islands is considered to be a promising biomarker for cancer prognosis and diagnosis [9,10,11].
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