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Single-Molecule Counting of Point Mutations by Transient DNA Binding
High-confidence detection of point mutations is important for disease diagnosis and clinical practice. Hybridization probes are extensively used, but are hindered by their poor single-nucleotide selectivity. Shortening the length of DNA hybridization probes weakens the stability of the probe-target...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338343/ https://www.ncbi.nlm.nih.gov/pubmed/28262827 http://dx.doi.org/10.1038/srep43824 |
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author | Su, Xin Li, Lidan Wang, Shanshan Hao, Dandan Wang, Lei Yu, Changyuan |
author_facet | Su, Xin Li, Lidan Wang, Shanshan Hao, Dandan Wang, Lei Yu, Changyuan |
author_sort | Su, Xin |
collection | PubMed |
description | High-confidence detection of point mutations is important for disease diagnosis and clinical practice. Hybridization probes are extensively used, but are hindered by their poor single-nucleotide selectivity. Shortening the length of DNA hybridization probes weakens the stability of the probe-target duplex, leading to transient binding between complementary sequences. The kinetics of probe-target binding events are highly dependent on the number of complementary base pairs. Here, we present a single-molecule assay for point mutation detection based on transient DNA binding and use of total internal reflection fluorescence microscopy. Statistical analysis of single-molecule kinetics enabled us to effectively discriminate between wild type DNA sequences and single-nucleotide variants at the single-molecule level. A higher single-nucleotide discrimination is achieved than in our previous work by optimizing the assay conditions, which is guided by statistical modeling of kinetics with a gamma distribution. The KRAS c.34 A mutation can be clearly differentiated from the wild type sequence (KRAS c.34 G) at a relative abundance as low as 0.01% mutant to WT. To demonstrate the feasibility of this method for analysis of clinically relevant biological samples, we used this technology to detect mutations in single-stranded DNA generated from asymmetric RT-PCR of mRNA from two cancer cell lines. |
format | Online Article Text |
id | pubmed-5338343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53383432017-03-08 Single-Molecule Counting of Point Mutations by Transient DNA Binding Su, Xin Li, Lidan Wang, Shanshan Hao, Dandan Wang, Lei Yu, Changyuan Sci Rep Article High-confidence detection of point mutations is important for disease diagnosis and clinical practice. Hybridization probes are extensively used, but are hindered by their poor single-nucleotide selectivity. Shortening the length of DNA hybridization probes weakens the stability of the probe-target duplex, leading to transient binding between complementary sequences. The kinetics of probe-target binding events are highly dependent on the number of complementary base pairs. Here, we present a single-molecule assay for point mutation detection based on transient DNA binding and use of total internal reflection fluorescence microscopy. Statistical analysis of single-molecule kinetics enabled us to effectively discriminate between wild type DNA sequences and single-nucleotide variants at the single-molecule level. A higher single-nucleotide discrimination is achieved than in our previous work by optimizing the assay conditions, which is guided by statistical modeling of kinetics with a gamma distribution. The KRAS c.34 A mutation can be clearly differentiated from the wild type sequence (KRAS c.34 G) at a relative abundance as low as 0.01% mutant to WT. To demonstrate the feasibility of this method for analysis of clinically relevant biological samples, we used this technology to detect mutations in single-stranded DNA generated from asymmetric RT-PCR of mRNA from two cancer cell lines. Nature Publishing Group 2017-03-06 /pmc/articles/PMC5338343/ /pubmed/28262827 http://dx.doi.org/10.1038/srep43824 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Su, Xin Li, Lidan Wang, Shanshan Hao, Dandan Wang, Lei Yu, Changyuan Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title | Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title_full | Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title_fullStr | Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title_full_unstemmed | Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title_short | Single-Molecule Counting of Point Mutations by Transient DNA Binding |
title_sort | single-molecule counting of point mutations by transient dna binding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338343/ https://www.ncbi.nlm.nih.gov/pubmed/28262827 http://dx.doi.org/10.1038/srep43824 |
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