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Optimized ChIP-seq method facilitates transcription factor profiling in human tumors
Chromatin immunoprecipitation (ChIP)-seq analyses of transcription factors in clinical specimens are challenging due to the technical limitations and low quantities of starting material, often resulting in low enrichments and poor signal-to-noise ratio. Here, we present an optimized protocol for tra...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Life Science Alliance LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311467/ https://www.ncbi.nlm.nih.gov/pubmed/30620009 http://dx.doi.org/10.26508/lsa.201800115 |
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author | Singh, Abhishek A Schuurman, Karianne Nevedomskaya, Ekaterina Stelloo, Suzan Linder, Simon Droog, Marjolein Kim, Yongsoo Sanders, Joyce van der Poel, Henk Bergman, Andries M Wessels, Lodewyk FA Zwart, Wilbert |
author_facet | Singh, Abhishek A Schuurman, Karianne Nevedomskaya, Ekaterina Stelloo, Suzan Linder, Simon Droog, Marjolein Kim, Yongsoo Sanders, Joyce van der Poel, Henk Bergman, Andries M Wessels, Lodewyk FA Zwart, Wilbert |
author_sort | Singh, Abhishek A |
collection | PubMed |
description | Chromatin immunoprecipitation (ChIP)-seq analyses of transcription factors in clinical specimens are challenging due to the technical limitations and low quantities of starting material, often resulting in low enrichments and poor signal-to-noise ratio. Here, we present an optimized protocol for transcription factor ChIP-seq analyses in human tissue, yielding an ∼100% success rate for all transcription factors analyzed. As proof of concept and to illustrate general applicability of the approach, human tissue from the breast, prostate, and endometrial cancers were analyzed. In addition to standard formaldehyde fixation, disuccinimidyl glutarate was included in the procedure, greatly increasing data quality. To illustrate the sensitivity of the optimized protocol, we provide high-quality ChIP-seq data for three independent factors (AR, FOXA1, and H3K27ac) from a single core needle prostate cancer biopsy specimen. In summary, double-cross-linking strongly improved transcription factor ChIP-seq quality on human tumor samples, further facilitating and enhancing translational research on limited amounts of tissue. |
format | Online Article Text |
id | pubmed-6311467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Life Science Alliance LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-63114672019-01-07 Optimized ChIP-seq method facilitates transcription factor profiling in human tumors Singh, Abhishek A Schuurman, Karianne Nevedomskaya, Ekaterina Stelloo, Suzan Linder, Simon Droog, Marjolein Kim, Yongsoo Sanders, Joyce van der Poel, Henk Bergman, Andries M Wessels, Lodewyk FA Zwart, Wilbert Life Sci Alliance Methods Chromatin immunoprecipitation (ChIP)-seq analyses of transcription factors in clinical specimens are challenging due to the technical limitations and low quantities of starting material, often resulting in low enrichments and poor signal-to-noise ratio. Here, we present an optimized protocol for transcription factor ChIP-seq analyses in human tissue, yielding an ∼100% success rate for all transcription factors analyzed. As proof of concept and to illustrate general applicability of the approach, human tissue from the breast, prostate, and endometrial cancers were analyzed. In addition to standard formaldehyde fixation, disuccinimidyl glutarate was included in the procedure, greatly increasing data quality. To illustrate the sensitivity of the optimized protocol, we provide high-quality ChIP-seq data for three independent factors (AR, FOXA1, and H3K27ac) from a single core needle prostate cancer biopsy specimen. In summary, double-cross-linking strongly improved transcription factor ChIP-seq quality on human tumor samples, further facilitating and enhancing translational research on limited amounts of tissue. Life Science Alliance LLC 2018-12-28 /pmc/articles/PMC6311467/ /pubmed/30620009 http://dx.doi.org/10.26508/lsa.201800115 Text en © 2018 Singh et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Methods Singh, Abhishek A Schuurman, Karianne Nevedomskaya, Ekaterina Stelloo, Suzan Linder, Simon Droog, Marjolein Kim, Yongsoo Sanders, Joyce van der Poel, Henk Bergman, Andries M Wessels, Lodewyk FA Zwart, Wilbert Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title | Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title_full | Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title_fullStr | Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title_full_unstemmed | Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title_short | Optimized ChIP-seq method facilitates transcription factor profiling in human tumors |
title_sort | optimized chip-seq method facilitates transcription factor profiling in human tumors |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311467/ https://www.ncbi.nlm.nih.gov/pubmed/30620009 http://dx.doi.org/10.26508/lsa.201800115 |
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