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RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles

Up to 450 000 non-coding RNAs (ncRNAs) have been predicted to be transcribed from the human genome. However, it still has to be elucidated which of these transcripts represent functional ncRNAs. Since all functional ncRNAs in Eukarya form ribonucleo-protein particles (RNPs), we generated specialized...

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Autores principales: Rederstorff, Mathieu, Bernhart, Stephan H., Tanzer, Andrea, Zywicki, Marek, Perfler, Katrin, Lukasser, Melanie, Hofacker, Ivo L., Hüttenhofer, Alexander
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879528/
https://www.ncbi.nlm.nih.gov/pubmed/20150415
http://dx.doi.org/10.1093/nar/gkq057
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author Rederstorff, Mathieu
Bernhart, Stephan H.
Tanzer, Andrea
Zywicki, Marek
Perfler, Katrin
Lukasser, Melanie
Hofacker, Ivo L.
Hüttenhofer, Alexander
author_facet Rederstorff, Mathieu
Bernhart, Stephan H.
Tanzer, Andrea
Zywicki, Marek
Perfler, Katrin
Lukasser, Melanie
Hofacker, Ivo L.
Hüttenhofer, Alexander
author_sort Rederstorff, Mathieu
collection PubMed
description Up to 450 000 non-coding RNAs (ncRNAs) have been predicted to be transcribed from the human genome. However, it still has to be elucidated which of these transcripts represent functional ncRNAs. Since all functional ncRNAs in Eukarya form ribonucleo-protein particles (RNPs), we generated specialized cDNA libraries from size-fractionated RNPs and validated the presence of selected ncRNAs within RNPs by glycerol gradient centrifugation. As a proof of concept, we applied the RNP method to human Hela cells or total mouse brain, and subjected cDNA libraries, generated from the two model systems, to deep-sequencing. Bioinformatical analysis of cDNA sequences revealed several hundred ncRNP candidates. Thereby, ncRNAs candidates were mainly located in intergenic as well as intronic regions of the genome, with a significant overrepresentation of intron-derived ncRNA sequences. Additionally, a number of ncRNAs mapped to repetitive sequences. Thus, our RNP approach provides an efficient way to identify new functional small ncRNA candidates, involved in RNP formation.
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spelling pubmed-28795282010-06-02 RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles Rederstorff, Mathieu Bernhart, Stephan H. Tanzer, Andrea Zywicki, Marek Perfler, Katrin Lukasser, Melanie Hofacker, Ivo L. Hüttenhofer, Alexander Nucleic Acids Res Methods Online Up to 450 000 non-coding RNAs (ncRNAs) have been predicted to be transcribed from the human genome. However, it still has to be elucidated which of these transcripts represent functional ncRNAs. Since all functional ncRNAs in Eukarya form ribonucleo-protein particles (RNPs), we generated specialized cDNA libraries from size-fractionated RNPs and validated the presence of selected ncRNAs within RNPs by glycerol gradient centrifugation. As a proof of concept, we applied the RNP method to human Hela cells or total mouse brain, and subjected cDNA libraries, generated from the two model systems, to deep-sequencing. Bioinformatical analysis of cDNA sequences revealed several hundred ncRNP candidates. Thereby, ncRNAs candidates were mainly located in intergenic as well as intronic regions of the genome, with a significant overrepresentation of intron-derived ncRNA sequences. Additionally, a number of ncRNAs mapped to repetitive sequences. Thus, our RNP approach provides an efficient way to identify new functional small ncRNA candidates, involved in RNP formation. Oxford University Press 2010-06 2010-02-11 /pmc/articles/PMC2879528/ /pubmed/20150415 http://dx.doi.org/10.1093/nar/gkq057 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Rederstorff, Mathieu
Bernhart, Stephan H.
Tanzer, Andrea
Zywicki, Marek
Perfler, Katrin
Lukasser, Melanie
Hofacker, Ivo L.
Hüttenhofer, Alexander
RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title_full RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title_fullStr RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title_full_unstemmed RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title_short RNPomics: Defining the ncRNA transcriptome by cDNA library generation from ribonucleo-protein particles
title_sort rnpomics: defining the ncrna transcriptome by cdna library generation from ribonucleo-protein particles
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879528/
https://www.ncbi.nlm.nih.gov/pubmed/20150415
http://dx.doi.org/10.1093/nar/gkq057
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