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To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq

Chromatin immunoprecipitation (IP) followed by sequencing (ChIP-seq) is the gold standard to detect transcription-factor (TF) binding sites in the genome. Its success depends on appropriate controls removing systematic biases. The predominantly used controls, i.e. DNA input, correct for uneven sonic...

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Autores principales: Xu, Jinrui, Kudron, Michelle M, Victorsen, Alec, Gao, Jiahao, Ammouri, Haneen N, Navarro, Fabio C P, Gevirtzman, Louis, Waterston, Robert H, White, Kevin P, Reinke, Valerie, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897498/
https://www.ncbi.nlm.nih.gov/pubmed/33347581
http://dx.doi.org/10.1093/nar/gkaa1155
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author Xu, Jinrui
Kudron, Michelle M
Victorsen, Alec
Gao, Jiahao
Ammouri, Haneen N
Navarro, Fabio C P
Gevirtzman, Louis
Waterston, Robert H
White, Kevin P
Reinke, Valerie
Gerstein, Mark
author_facet Xu, Jinrui
Kudron, Michelle M
Victorsen, Alec
Gao, Jiahao
Ammouri, Haneen N
Navarro, Fabio C P
Gevirtzman, Louis
Waterston, Robert H
White, Kevin P
Reinke, Valerie
Gerstein, Mark
author_sort Xu, Jinrui
collection PubMed
description Chromatin immunoprecipitation (IP) followed by sequencing (ChIP-seq) is the gold standard to detect transcription-factor (TF) binding sites in the genome. Its success depends on appropriate controls removing systematic biases. The predominantly used controls, i.e. DNA input, correct for uneven sonication, but not for nonspecific interactions of the IP antibody. Another type of controls, ‘mock’ IP, corrects for both of the issues, but is not widely used because it is considered susceptible to technical noise. The tradeoff between the two control types has not been investigated systematically. Therefore, we generated comparable DNA input and mock IP experiments. Because mock IPs contain only nonspecific interactions, the sites predicted from them using DNA input indicate the spurious-site abundance. This abundance is highly correlated with the ‘genomic activity’ (e.g. chromatin openness). In particular, compared to cell lines, complex samples such as whole organisms have more spurious sites—probably because they contain multiple cell types, resulting in more expressed genes and more open chromatin. Consequently, DNA input and mock IP controls performed similarly for cell lines, whereas for complex samples, mock IP substantially reduced the number of spurious sites. However, DNA input is still informative; thus, we developed a simple framework integrating both controls, improving binding site detection.
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spelling pubmed-78974982021-02-25 To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq Xu, Jinrui Kudron, Michelle M Victorsen, Alec Gao, Jiahao Ammouri, Haneen N Navarro, Fabio C P Gevirtzman, Louis Waterston, Robert H White, Kevin P Reinke, Valerie Gerstein, Mark Nucleic Acids Res Methods Online Chromatin immunoprecipitation (IP) followed by sequencing (ChIP-seq) is the gold standard to detect transcription-factor (TF) binding sites in the genome. Its success depends on appropriate controls removing systematic biases. The predominantly used controls, i.e. DNA input, correct for uneven sonication, but not for nonspecific interactions of the IP antibody. Another type of controls, ‘mock’ IP, corrects for both of the issues, but is not widely used because it is considered susceptible to technical noise. The tradeoff between the two control types has not been investigated systematically. Therefore, we generated comparable DNA input and mock IP experiments. Because mock IPs contain only nonspecific interactions, the sites predicted from them using DNA input indicate the spurious-site abundance. This abundance is highly correlated with the ‘genomic activity’ (e.g. chromatin openness). In particular, compared to cell lines, complex samples such as whole organisms have more spurious sites—probably because they contain multiple cell types, resulting in more expressed genes and more open chromatin. Consequently, DNA input and mock IP controls performed similarly for cell lines, whereas for complex samples, mock IP substantially reduced the number of spurious sites. However, DNA input is still informative; thus, we developed a simple framework integrating both controls, improving binding site detection. Oxford University Press 2020-12-21 /pmc/articles/PMC7897498/ /pubmed/33347581 http://dx.doi.org/10.1093/nar/gkaa1155 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Xu, Jinrui
Kudron, Michelle M
Victorsen, Alec
Gao, Jiahao
Ammouri, Haneen N
Navarro, Fabio C P
Gevirtzman, Louis
Waterston, Robert H
White, Kevin P
Reinke, Valerie
Gerstein, Mark
To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title_full To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title_fullStr To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title_full_unstemmed To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title_short To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq
title_sort to mock or not: a comprehensive comparison of mock ip and dna input for chip-seq
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897498/
https://www.ncbi.nlm.nih.gov/pubmed/33347581
http://dx.doi.org/10.1093/nar/gkaa1155
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