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Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms
Single nucleotide polymorphisms (SNPs) constitute the most common types of genetic variations in the human genome. A number of SNPs have been linked to the development of life threatening diseases including cancer, cardiovascular diseases and neurodegenerative diseases. The ability for ultrasensitiv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456783/ https://www.ncbi.nlm.nih.gov/pubmed/25785914 http://dx.doi.org/10.1039/c4an02304h |
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author | Lapitan Jr., Lorico D. S. Guo, Yuan Zhou, Dejian |
author_facet | Lapitan Jr., Lorico D. S. Guo, Yuan Zhou, Dejian |
author_sort | Lapitan Jr., Lorico D. S. |
collection | PubMed |
description | Single nucleotide polymorphisms (SNPs) constitute the most common types of genetic variations in the human genome. A number of SNPs have been linked to the development of life threatening diseases including cancer, cardiovascular diseases and neurodegenerative diseases. The ability for ultrasensitive and accurate detection of low abundant disease-related SNPs in bodily fluids (e.g. blood, serum, etc.) holds a significant value in the development of non-invasive future biodiagnostic tools. Over the past two decades, nanomaterials have been utilized in a myriad of biosensing applications due to their ability of detecting extremely low quantities of biologically important biomarkers with high sensitivity and accuracy. Of particular interest is the application of such technologies in the detection of SNPs. The use of various nanomaterials, coupled with different powerful signal amplification strategies, has paved the way for a new generation of ultrasensitive SNP biodiagnostic assays. Over the past few years, several ultrasensitive SNP biosensors capable of detecting specific targets down to the ultra-low regimes (ca. aM and below) and therefore holding great promises for early clinical diagnosis of diseases have been developed. This mini review will highlight some of the most recent, significant advances in nanomaterial-based ultrasensitive SNP sensing technologies capable of detecting specific targets on the attomolar (10(–18) M) regime or below. In particular, the design of novel, powerful signal amplification strategies that hold the key to the ultrasensitivity is highlighted. |
format | Online Article Text |
id | pubmed-4456783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-44567832015-08-03 Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms Lapitan Jr., Lorico D. S. Guo, Yuan Zhou, Dejian Analyst Chemistry Single nucleotide polymorphisms (SNPs) constitute the most common types of genetic variations in the human genome. A number of SNPs have been linked to the development of life threatening diseases including cancer, cardiovascular diseases and neurodegenerative diseases. The ability for ultrasensitive and accurate detection of low abundant disease-related SNPs in bodily fluids (e.g. blood, serum, etc.) holds a significant value in the development of non-invasive future biodiagnostic tools. Over the past two decades, nanomaterials have been utilized in a myriad of biosensing applications due to their ability of detecting extremely low quantities of biologically important biomarkers with high sensitivity and accuracy. Of particular interest is the application of such technologies in the detection of SNPs. The use of various nanomaterials, coupled with different powerful signal amplification strategies, has paved the way for a new generation of ultrasensitive SNP biodiagnostic assays. Over the past few years, several ultrasensitive SNP biosensors capable of detecting specific targets down to the ultra-low regimes (ca. aM and below) and therefore holding great promises for early clinical diagnosis of diseases have been developed. This mini review will highlight some of the most recent, significant advances in nanomaterial-based ultrasensitive SNP sensing technologies capable of detecting specific targets on the attomolar (10(–18) M) regime or below. In particular, the design of novel, powerful signal amplification strategies that hold the key to the ultrasensitivity is highlighted. Royal Society of Chemistry 2015-06-21 2015-03-18 /pmc/articles/PMC4456783/ /pubmed/25785914 http://dx.doi.org/10.1039/c4an02304h Text en This journal is © The Royal Society of Chemistry 2015 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Lapitan Jr., Lorico D. S. Guo, Yuan Zhou, Dejian Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title | Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title_full | Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title_fullStr | Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title_full_unstemmed | Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title_short | Nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
title_sort | nano-enabled bioanalytical approaches to ultrasensitive detection of low abundance single nucleotide polymorphisms |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456783/ https://www.ncbi.nlm.nih.gov/pubmed/25785914 http://dx.doi.org/10.1039/c4an02304h |
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