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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2018
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.
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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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