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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Frontiers in genetics 2013, Vol.4, p.150-150
Hauptverfasser: Cheng, Lesley, Quek, Camelia Y J, Sun, Xin, Bellingham, Shayne A, Hill, Andrew F
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 150
container_issue
container_start_page 150
container_title Frontiers in genetics
container_volume 4
creator Cheng, Lesley
Quek, Camelia Y J
Sun, Xin
Bellingham, Shayne A
Hill, Andrew F
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.
doi_str_mv 10.3389/fgene.2013.00150
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3737441</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1427007552</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3110-e087332d190b5480c94d60299490c4161f411064e7b9bc6df9abed786dbc35c43</originalsourceid><addsrcrecordid>eNpVkc1v1DAQxS0EolXbOyfkG1yyjGPHiS9Iq4ovqaISKmfLsScbo8QumaS0nPjTyW5LVXyxpXnvzYx_jL0SsJGyMe-6HSbclCDkBkBU8IwdC61V0UApnj95H7Ezoh-wHmWklOolOyql0aps9DH7c9UjDzijn2NOPHd8jH7K375uuSPKProZA_8V555vh989xhGnN8RDJHSEPCbexjzkXfRu4N2wxEB8oZh2POHtXOxHnNwhmvDngsnvS2u3Ph1cSKfsRecGwrOH-4R9__jh6vxzcXH56cv59qLwUggoEJpayjIIA22lGvBGBQ2lMcqAV0KLTq0yrbBuTet16IxrMdSNDq2XlVfyhL2_z71e2hGDxzRPbrDXUxzddGezi_b_Soq93eUbK2tZKyXWgLcPAVNeN6HZjpE8DoNLmBeyQpU1QF1V5SqFe-n6k0QTdo9tBNg9O3tgZ_fs7IHdann9dLxHwz9S8i84kZi5</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1427007552</pqid></control><display><type>article</type><title>The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies</title><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central</source><source>EZB Electronic Journals Library</source><source>PubMed Central Open Access</source><creator>Cheng, Lesley ; Quek, Camelia Y J ; Sun, Xin ; Bellingham, Shayne A ; Hill, Andrew F</creator><creatorcontrib>Cheng, Lesley ; Quek, Camelia Y J ; Sun, Xin ; Bellingham, Shayne A ; Hill, Andrew F</creatorcontrib><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.</description><identifier>ISSN: 1664-8021</identifier><identifier>EISSN: 1664-8021</identifier><identifier>DOI: 10.3389/fgene.2013.00150</identifier><identifier>PMID: 23964286</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>Genetics</subject><ispartof>Frontiers in genetics, 2013, Vol.4, p.150-150</ispartof><rights>Copyright © 2013 Cheng, Quek, Sun, Bellingham and Hill. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3110-e087332d190b5480c94d60299490c4161f411064e7b9bc6df9abed786dbc35c43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737441/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737441/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,4010,27900,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23964286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheng, Lesley</creatorcontrib><creatorcontrib>Quek, Camelia Y J</creatorcontrib><creatorcontrib>Sun, Xin</creatorcontrib><creatorcontrib>Bellingham, Shayne A</creatorcontrib><creatorcontrib>Hill, Andrew F</creatorcontrib><title>The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies</title><title>Frontiers in genetics</title><addtitle>Front Genet</addtitle><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.</description><subject>Genetics</subject><issn>1664-8021</issn><issn>1664-8021</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNpVkc1v1DAQxS0EolXbOyfkG1yyjGPHiS9Iq4ovqaISKmfLsScbo8QumaS0nPjTyW5LVXyxpXnvzYx_jL0SsJGyMe-6HSbclCDkBkBU8IwdC61V0UApnj95H7Ezoh-wHmWklOolOyql0aps9DH7c9UjDzijn2NOPHd8jH7K375uuSPKProZA_8V555vh989xhGnN8RDJHSEPCbexjzkXfRu4N2wxEB8oZh2POHtXOxHnNwhmvDngsnvS2u3Ph1cSKfsRecGwrOH-4R9__jh6vxzcXH56cv59qLwUggoEJpayjIIA22lGvBGBQ2lMcqAV0KLTq0yrbBuTet16IxrMdSNDq2XlVfyhL2_z71e2hGDxzRPbrDXUxzddGezi_b_Soq93eUbK2tZKyXWgLcPAVNeN6HZjpE8DoNLmBeyQpU1QF1V5SqFe-n6k0QTdo9tBNg9O3tgZ_fs7IHdann9dLxHwz9S8i84kZi5</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>Cheng, Lesley</creator><creator>Quek, Camelia Y J</creator><creator>Sun, Xin</creator><creator>Bellingham, Shayne A</creator><creator>Hill, Andrew F</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>2013</creationdate><title>The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies</title><author>Cheng, Lesley ; Quek, Camelia Y J ; Sun, Xin ; Bellingham, Shayne A ; Hill, Andrew F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3110-e087332d190b5480c94d60299490c4161f411064e7b9bc6df9abed786dbc35c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Lesley</creatorcontrib><creatorcontrib>Quek, Camelia Y J</creatorcontrib><creatorcontrib>Sun, Xin</creatorcontrib><creatorcontrib>Bellingham, Shayne A</creatorcontrib><creatorcontrib>Hill, Andrew F</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Frontiers in genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Lesley</au><au>Quek, Camelia Y J</au><au>Sun, Xin</au><au>Bellingham, Shayne A</au><au>Hill, Andrew F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies</atitle><jtitle>Frontiers in genetics</jtitle><addtitle>Front Genet</addtitle><date>2013</date><risdate>2013</risdate><volume>4</volume><spage>150</spage><epage>150</epage><pages>150-150</pages><issn>1664-8021</issn><eissn>1664-8021</eissn><abstract>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.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>23964286</pmid><doi>10.3389/fgene.2013.00150</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1664-8021
ispartof Frontiers in genetics, 2013, Vol.4, p.150-150
issn 1664-8021
1664-8021
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3737441
source DOAJ Directory of Open Access Journals; PubMed Central; EZB Electronic Journals Library; PubMed Central Open Access
subjects Genetics
title The detection of microRNA associated with Alzheimer's disease in biological fluids using next-generation sequencing technologies
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T22%3A16%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20detection%20of%20microRNA%20associated%20with%20Alzheimer's%20disease%20in%20biological%20fluids%20using%20next-generation%20sequencing%20technologies&rft.jtitle=Frontiers%20in%20genetics&rft.au=Cheng,%20Lesley&rft.date=2013&rft.volume=4&rft.spage=150&rft.epage=150&rft.pages=150-150&rft.issn=1664-8021&rft.eissn=1664-8021&rft_id=info:doi/10.3389/fgene.2013.00150&rft_dat=%3Cproquest_pubme%3E1427007552%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1427007552&rft_id=info:pmid/23964286&rfr_iscdi=true