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The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies
Diagnostic tools for neurodegenerative diseases such as Alzheimer's disease (AD) currently involve subjective neuropsychological testing and specialized brain imaging techniques. While definitive diagnosis requires a pathological brain evaluation at autopsy, neurodegenerative changes are believ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737441/ https://www.ncbi.nlm.nih.gov/pubmed/23964286 http://dx.doi.org/10.3389/fgene.2013.00150 |
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author | Cheng, Lesley Quek, Camelia Y. J. Sun, Xin Bellingham, Shayne A. Hill, Andrew F. |
author_facet | Cheng, Lesley Quek, Camelia Y. J. Sun, Xin Bellingham, Shayne A. Hill, Andrew F. |
author_sort | Cheng, Lesley |
collection | PubMed |
description | Diagnostic tools for neurodegenerative diseases such as Alzheimer's disease (AD) currently involve subjective neuropsychological testing and specialized brain imaging techniques. While definitive diagnosis requires a pathological brain evaluation at autopsy, neurodegenerative changes are believed to begin years before the clinical presentation of cognitive decline. Therefore, there is an essential need for reliable biomarkers to aid in the early detection of disease in order to implement preventative strategies. microRNAs (miRNA) are small non-coding RNA species that are involved in post-transcriptional gene regulation. Expression levels of miRNAs have potential as diagnostic biomarkers as they are known to circulate and tissue specific profiles can be identified in a number of bodily fluids such as plasma, CSF and urine. Recent developments in deep sequencing technology present a viable approach to develop biomarker discovery pipelines in order to profile miRNA signatures in bodily fluids specific to neurodegenerative diseases. Here we review the potential use of miRNA deep sequencing in biomarker identification from biological fluids and its translation into clinical practice. |
format | Online Article Text |
id | pubmed-3737441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37374412013-08-20 The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies Cheng, Lesley Quek, Camelia Y. J. Sun, Xin Bellingham, Shayne A. Hill, Andrew F. Front Genet Genetics Diagnostic tools for neurodegenerative diseases such as Alzheimer's disease (AD) currently involve subjective neuropsychological testing and specialized brain imaging techniques. While definitive diagnosis requires a pathological brain evaluation at autopsy, neurodegenerative changes are believed to begin years before the clinical presentation of cognitive decline. Therefore, there is an essential need for reliable biomarkers to aid in the early detection of disease in order to implement preventative strategies. microRNAs (miRNA) are small non-coding RNA species that are involved in post-transcriptional gene regulation. Expression levels of miRNAs have potential as diagnostic biomarkers as they are known to circulate and tissue specific profiles can be identified in a number of bodily fluids such as plasma, CSF and urine. Recent developments in deep sequencing technology present a viable approach to develop biomarker discovery pipelines in order to profile miRNA signatures in bodily fluids specific to neurodegenerative diseases. Here we review the potential use of miRNA deep sequencing in biomarker identification from biological fluids and its translation into clinical practice. Frontiers Media S.A. 2013-08-08 /pmc/articles/PMC3737441/ /pubmed/23964286 http://dx.doi.org/10.3389/fgene.2013.00150 Text en Copyright © 2013 Cheng, Quek, Sun, Bellingham and Hill. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Cheng, Lesley Quek, Camelia Y. J. Sun, Xin Bellingham, Shayne A. Hill, Andrew F. The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title | The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title_full | The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title_fullStr | The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title_full_unstemmed | The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title_short | The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies |
title_sort | detection of microrna associated with alzheimer's disease in biological fluids using next-generation sequencing technologies |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737441/ https://www.ncbi.nlm.nih.gov/pubmed/23964286 http://dx.doi.org/10.3389/fgene.2013.00150 |
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