Skip to main navigation Skip to search Skip to main content

Optimized ChIP-seq method facilitates transcription factor profiling in human tumors

  • Abhishek A. Singh
  • , Karianne Schuurman
  • , Ekaterina Nevedomskaya
  • , Suzan Stelloo
  • , Simon Linder
  • , Marjolein Droog
  • , Yongsoo Kim
  • , Joyce Sanders
  • , Henk van der Poel
  • , Andries M. Bergman
  • , Lodewyk F.A. Wessels
  • , Wilbert Zwart (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

1122 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article numbere201800115
Number of pages12
JournalLife Science Alliance
Volume2
Issue number1
DOIs
Publication statusPublished - Feb 2019

Funding

The authors would like to thank the NKI Core Facility Molecular Pathology and Biobanking for technical support and providing tissue specimens. This project is funded by the Dutch Cancer Society KWF. W Zwart is supported by a KWF/Alpe d’HuZes Bas Mulder Award and Dutch Scientific Organization NWO VIDI.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Optimized ChIP-seq method facilitates transcription factor profiling in human tumors'. Together they form a unique fingerprint.

Cite this