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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...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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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. |
format | Text |
id | pubmed-2879528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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