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Novel microRNA discovery using small RNA sequencing in post-mortem human brain

BACKGROUND: MicroRNAs (miRNAs) are short, non-coding RNAs that regulate gene expression mainly through translational repression of target mRNA molecules. More than 2700 human miRNAs have been identified and some are known to be associated with disease phenotypes and to display tissue-specific patter...

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Autores principales: Wake, Christian, Labadorf, Adam, Dumitriu, Alexandra, Hoss, Andrew G., Bregu, Joli, Albrecht, Kenneth H., DeStefano, Anita L., Myers, Richard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050850/
https://www.ncbi.nlm.nih.gov/pubmed/27716130
http://dx.doi.org/10.1186/s12864-016-3114-3
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author Wake, Christian
Labadorf, Adam
Dumitriu, Alexandra
Hoss, Andrew G.
Bregu, Joli
Albrecht, Kenneth H.
DeStefano, Anita L.
Myers, Richard H.
author_facet Wake, Christian
Labadorf, Adam
Dumitriu, Alexandra
Hoss, Andrew G.
Bregu, Joli
Albrecht, Kenneth H.
DeStefano, Anita L.
Myers, Richard H.
author_sort Wake, Christian
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) are short, non-coding RNAs that regulate gene expression mainly through translational repression of target mRNA molecules. More than 2700 human miRNAs have been identified and some are known to be associated with disease phenotypes and to display tissue-specific patterns of expression. METHODS: We used high-throughput small RNA sequencing to discover novel miRNAs in 93 human post-mortem prefrontal cortex samples from individuals with Huntington’s disease (n = 28) or Parkinson’s disease (n = 29) and controls without neurological impairment (n = 36). A custom miRNA identification analysis pipeline was built, which utilizes miRDeep* miRNA identification and result filtering based on false positive rate estimates. RESULTS: Ninety-nine novel miRNA candidates with a false positive rate of less than 5 % were identified. Thirty-four of the candidate miRNAs show sequence similarity with known mature miRNA sequences and may be novel members of known miRNA families, while the remaining 65 may constitute previously undiscovered families of miRNAs. Nineteen of the 99 candidate miRNAs were replicated using independent, publicly-available human brain RNA-sequencing samples, and seven were experimentally validated using qPCR. CONCLUSIONS: We have used small RNA sequencing to identify 99 putative novel miRNAs that are present in human brain samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3114-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-50508502016-10-05 Novel microRNA discovery using small RNA sequencing in post-mortem human brain Wake, Christian Labadorf, Adam Dumitriu, Alexandra Hoss, Andrew G. Bregu, Joli Albrecht, Kenneth H. DeStefano, Anita L. Myers, Richard H. BMC Genomics Research Article BACKGROUND: MicroRNAs (miRNAs) are short, non-coding RNAs that regulate gene expression mainly through translational repression of target mRNA molecules. More than 2700 human miRNAs have been identified and some are known to be associated with disease phenotypes and to display tissue-specific patterns of expression. METHODS: We used high-throughput small RNA sequencing to discover novel miRNAs in 93 human post-mortem prefrontal cortex samples from individuals with Huntington’s disease (n = 28) or Parkinson’s disease (n = 29) and controls without neurological impairment (n = 36). A custom miRNA identification analysis pipeline was built, which utilizes miRDeep* miRNA identification and result filtering based on false positive rate estimates. RESULTS: Ninety-nine novel miRNA candidates with a false positive rate of less than 5 % were identified. Thirty-four of the candidate miRNAs show sequence similarity with known mature miRNA sequences and may be novel members of known miRNA families, while the remaining 65 may constitute previously undiscovered families of miRNAs. Nineteen of the 99 candidate miRNAs were replicated using independent, publicly-available human brain RNA-sequencing samples, and seven were experimentally validated using qPCR. CONCLUSIONS: We have used small RNA sequencing to identify 99 putative novel miRNAs that are present in human brain samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3114-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-04 /pmc/articles/PMC5050850/ /pubmed/27716130 http://dx.doi.org/10.1186/s12864-016-3114-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wake, Christian
Labadorf, Adam
Dumitriu, Alexandra
Hoss, Andrew G.
Bregu, Joli
Albrecht, Kenneth H.
DeStefano, Anita L.
Myers, Richard H.
Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title_full Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title_fullStr Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title_full_unstemmed Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title_short Novel microRNA discovery using small RNA sequencing in post-mortem human brain
title_sort novel microrna discovery using small rna sequencing in post-mortem human brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050850/
https://www.ncbi.nlm.nih.gov/pubmed/27716130
http://dx.doi.org/10.1186/s12864-016-3114-3
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