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SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome
BACKGROUND: Chromatin-immunoprecipitation followed by sequencing (ChIP-seq) is the method of choice for mapping genome-wide binding of chromatin-associated factors. However, broadly applicable methods for between-sample comparisons are lacking. RESULTS: Here, we introduce SNP-ChIP, a method that lev...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337847/ https://www.ncbi.nlm.nih.gov/pubmed/30654749 http://dx.doi.org/10.1186/s12864-018-5368-4 |
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author | Vale-Silva, Luis A. Markowitz, Tovah E. Hochwagen, Andreas |
author_facet | Vale-Silva, Luis A. Markowitz, Tovah E. Hochwagen, Andreas |
author_sort | Vale-Silva, Luis A. |
collection | PubMed |
description | BACKGROUND: Chromatin-immunoprecipitation followed by sequencing (ChIP-seq) is the method of choice for mapping genome-wide binding of chromatin-associated factors. However, broadly applicable methods for between-sample comparisons are lacking. RESULTS: Here, we introduce SNP-ChIP, a method that leverages small-scale intra-species polymorphisms, mainly SNPs, for quantitative spike-in normalization of ChIP-seq results. Sourcing spike-in material from the same species ensures antibody cross-reactivity and physiological coherence, thereby eliminating two central limitations of traditional spike-in approaches. We show that SNP-ChIP is robust to changes in sequencing depth and spike-in proportions, and reliably identifies changes in overall protein levels, irrespective of changes in binding distribution. Application of SNP-ChIP to test cases from budding yeast meiosis allowed discovery of novel regulators of the chromosomal protein Red1 and quantitative analysis of the DNA-damage associated histone modification γ-H2AX. CONCLUSION: SNP-ChIP is fully compatible with the intra-species diversity of humans and most model organisms and thus offers a general method for normalizing ChIP-seq results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5368-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6337847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63378472019-01-23 SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome Vale-Silva, Luis A. Markowitz, Tovah E. Hochwagen, Andreas BMC Genomics Methodology Article BACKGROUND: Chromatin-immunoprecipitation followed by sequencing (ChIP-seq) is the method of choice for mapping genome-wide binding of chromatin-associated factors. However, broadly applicable methods for between-sample comparisons are lacking. RESULTS: Here, we introduce SNP-ChIP, a method that leverages small-scale intra-species polymorphisms, mainly SNPs, for quantitative spike-in normalization of ChIP-seq results. Sourcing spike-in material from the same species ensures antibody cross-reactivity and physiological coherence, thereby eliminating two central limitations of traditional spike-in approaches. We show that SNP-ChIP is robust to changes in sequencing depth and spike-in proportions, and reliably identifies changes in overall protein levels, irrespective of changes in binding distribution. Application of SNP-ChIP to test cases from budding yeast meiosis allowed discovery of novel regulators of the chromosomal protein Red1 and quantitative analysis of the DNA-damage associated histone modification γ-H2AX. CONCLUSION: SNP-ChIP is fully compatible with the intra-species diversity of humans and most model organisms and thus offers a general method for normalizing ChIP-seq results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5368-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-17 /pmc/articles/PMC6337847/ /pubmed/30654749 http://dx.doi.org/10.1186/s12864-018-5368-4 Text en © The Author(s). 2019 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 Vale-Silva, Luis A. Markowitz, Tovah E. Hochwagen, Andreas SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title | SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title_full | SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title_fullStr | SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title_full_unstemmed | SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title_short | SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome |
title_sort | snp-chip: a versatile and tag-free method to quantify changes in protein binding across the genome |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337847/ https://www.ncbi.nlm.nih.gov/pubmed/30654749 http://dx.doi.org/10.1186/s12864-018-5368-4 |
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