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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.
Afiliación
  • Singh AA; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Schuurman K; Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Nevedomskaya E; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Stelloo S; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Linder S; Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Droog M; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Kim Y; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Sanders J; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • van der Poel H; Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Bergman AM; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Wessels LF; Department of Urology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Zwart W; Division of Oncogenomics, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Life Sci Alliance ; 2(1): e201800115, 2019 02.
Article en En | MEDLINE | ID: mdl-30620009
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Factores de Transcripción / Secuenciación de Inmunoprecipitación de Cromatina Tipo de estudio: Diagnostic_studies / Guideline Límite: Female / Humans / Male Idioma: En Revista: Life Sci Alliance Año: 2019 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Factores de Transcripción / Secuenciación de Inmunoprecipitación de Cromatina Tipo de estudio: Diagnostic_studies / Guideline Límite: Female / Humans / Male Idioma: En Revista: Life Sci Alliance Año: 2019 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos