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SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis

BACKGROUND: Noises and artifacts may arise in several steps of the next-generation sequencing (NGS) process. Recently, an NGS library preparation method called SMART, or Switching Mechanism At the 5′ end of the RNA Transcript, is introduced to prepare ChIP-seq (chromatin immunoprecipitation and deep...

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Autores principales: Zhao, Dejian, Zheng, Deyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307164/
https://www.ncbi.nlm.nih.gov/pubmed/30587107
http://dx.doi.org/10.1186/s12859-018-2577-4
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author Zhao, Dejian
Zheng, Deyou
author_facet Zhao, Dejian
Zheng, Deyou
author_sort Zhao, Dejian
collection PubMed
description BACKGROUND: Noises and artifacts may arise in several steps of the next-generation sequencing (NGS) process. Recently, an NGS library preparation method called SMART, or Switching Mechanism At the 5′ end of the RNA Transcript, is introduced to prepare ChIP-seq (chromatin immunoprecipitation and deep sequencing) libraries from small amount of DNA material, using the DNA SMART ChIP-seq Kit. The protocol adds Ts to the 3′ end of DNA templates, which is subsequently recognized and used by SMART poly(dA) primers for reverse transcription and then addition of PCR primers and sequencing adapters. The poly(dA) primers, however, can anneal to poly(T) sequences in a genome and amplify DNA fragments that are not enriched in the immunoprecipitated DNA templates. This off-target amplification results in false signals in the ChIP-seq data. RESULTS: Here, we show that the off-target ChIP-seq reads derived from false amplification of poly(T/A) genomic sequences have unique and strand-specific features. Accordingly, we develop a tool (called “SMARTcleaner”) that can exploit these features to remove SMART ChIP-seq artifacts. Application of SMARTcleaner to several SMART ChIP-seq datasets demonstrates that it can remove reads from off-target amplification effectively, leading to significantly improved ChIP-seq peaks and results. CONCLUSIONS: SMARTcleaner could identify and clean the false signals in SMART-based ChIP-seq libraries, leading to improvement in peak calling, and downstream data analysis and interpretation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2577-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-63071642019-01-02 SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis Zhao, Dejian Zheng, Deyou BMC Bioinformatics Methodology Article BACKGROUND: Noises and artifacts may arise in several steps of the next-generation sequencing (NGS) process. Recently, an NGS library preparation method called SMART, or Switching Mechanism At the 5′ end of the RNA Transcript, is introduced to prepare ChIP-seq (chromatin immunoprecipitation and deep sequencing) libraries from small amount of DNA material, using the DNA SMART ChIP-seq Kit. The protocol adds Ts to the 3′ end of DNA templates, which is subsequently recognized and used by SMART poly(dA) primers for reverse transcription and then addition of PCR primers and sequencing adapters. The poly(dA) primers, however, can anneal to poly(T) sequences in a genome and amplify DNA fragments that are not enriched in the immunoprecipitated DNA templates. This off-target amplification results in false signals in the ChIP-seq data. RESULTS: Here, we show that the off-target ChIP-seq reads derived from false amplification of poly(T/A) genomic sequences have unique and strand-specific features. Accordingly, we develop a tool (called “SMARTcleaner”) that can exploit these features to remove SMART ChIP-seq artifacts. Application of SMARTcleaner to several SMART ChIP-seq datasets demonstrates that it can remove reads from off-target amplification effectively, leading to significantly improved ChIP-seq peaks and results. CONCLUSIONS: SMARTcleaner could identify and clean the false signals in SMART-based ChIP-seq libraries, leading to improvement in peak calling, and downstream data analysis and interpretation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2577-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-27 /pmc/articles/PMC6307164/ /pubmed/30587107 http://dx.doi.org/10.1186/s12859-018-2577-4 Text en © The Author(s). 2018 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 Methodology Article
Zhao, Dejian
Zheng, Deyou
SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title_full SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title_fullStr SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title_full_unstemmed SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title_short SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis
title_sort smartcleaner: identify and clean off-target signals in smart chip-seq analysis
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307164/
https://www.ncbi.nlm.nih.gov/pubmed/30587107
http://dx.doi.org/10.1186/s12859-018-2577-4
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