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Using RNase sequence specificity to refine the identification of RNA-protein binding regions
Massively parallel pyrosequencing is a high-throughput technology that can sequence hundreds of thousands of DNA/RNA fragments in a single experiment. Combining it with immunoprecipitation-based biochemical assays, such as cross-linking immunoprecipitation (CLIP), provides a genome-wide method to de...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386059/ https://www.ncbi.nlm.nih.gov/pubmed/18366606 http://dx.doi.org/10.1186/1471-2164-9-S1-S17 |
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author | Wang, Xin Wang, Guohua Shen, Changyu Li, Lang Wang, Xinguo Mooney, Sean D Edenberg, Howard J Sanford, Jeremy R Liu, Yunlong |
author_facet | Wang, Xin Wang, Guohua Shen, Changyu Li, Lang Wang, Xinguo Mooney, Sean D Edenberg, Howard J Sanford, Jeremy R Liu, Yunlong |
author_sort | Wang, Xin |
collection | PubMed |
description | Massively parallel pyrosequencing is a high-throughput technology that can sequence hundreds of thousands of DNA/RNA fragments in a single experiment. Combining it with immunoprecipitation-based biochemical assays, such as cross-linking immunoprecipitation (CLIP), provides a genome-wide method to detect the sites at which proteins bind DNA or RNA. In a CLIP-pyrosequencing experiment, the resolutions of the detected protein binding regions are partially determined by the length of the detected RNA fragments (CLIP amplicons) after trimming by RNase digestion. The lengths of these fragments usually range from 50-70 nucleotides. Many genomic regions are marked by multiple RNA fragments. In this paper, we report an empirical approach to refine the localization of protein binding regions by using the distribution pattern of the detected RNA fragments and the sequence specificity of RNase digestion. We present two regions to which multiple amplicons map as examples to demonstrate this approach. |
format | Text |
id | pubmed-2386059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23860592008-05-15 Using RNase sequence specificity to refine the identification of RNA-protein binding regions Wang, Xin Wang, Guohua Shen, Changyu Li, Lang Wang, Xinguo Mooney, Sean D Edenberg, Howard J Sanford, Jeremy R Liu, Yunlong BMC Genomics Research Massively parallel pyrosequencing is a high-throughput technology that can sequence hundreds of thousands of DNA/RNA fragments in a single experiment. Combining it with immunoprecipitation-based biochemical assays, such as cross-linking immunoprecipitation (CLIP), provides a genome-wide method to detect the sites at which proteins bind DNA or RNA. In a CLIP-pyrosequencing experiment, the resolutions of the detected protein binding regions are partially determined by the length of the detected RNA fragments (CLIP amplicons) after trimming by RNase digestion. The lengths of these fragments usually range from 50-70 nucleotides. Many genomic regions are marked by multiple RNA fragments. In this paper, we report an empirical approach to refine the localization of protein binding regions by using the distribution pattern of the detected RNA fragments and the sequence specificity of RNase digestion. We present two regions to which multiple amplicons map as examples to demonstrate this approach. BioMed Central 2008-03-20 /pmc/articles/PMC2386059/ /pubmed/18366606 http://dx.doi.org/10.1186/1471-2164-9-S1-S17 Text en Copyright © 2008 Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Wang, Xin Wang, Guohua Shen, Changyu Li, Lang Wang, Xinguo Mooney, Sean D Edenberg, Howard J Sanford, Jeremy R Liu, Yunlong Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title | Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title_full | Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title_fullStr | Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title_full_unstemmed | Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title_short | Using RNase sequence specificity to refine the identification of RNA-protein binding regions |
title_sort | using rnase sequence specificity to refine the identification of rna-protein binding regions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386059/ https://www.ncbi.nlm.nih.gov/pubmed/18366606 http://dx.doi.org/10.1186/1471-2164-9-S1-S17 |
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