Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xin, Wang, Guohua, Shen, Changyu, Li, Lang, Wang, Xinguo, Mooney, Sean D, Edenberg, Howard J, Sanford, Jeremy R, Liu, Yunlong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
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
_version_ 1782155202736947200
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
work_keys_str_mv AT wangxin usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT wangguohua usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT shenchangyu usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT lilang usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT wangxinguo usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT mooneyseand usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT edenberghowardj usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT sanfordjeremyr usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions
AT liuyunlong usingrnasesequencespecificitytorefinetheidentificationofrnaproteinbindingregions