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 language | English |
|---|---|
| Article number | e201800115 |
| Number of pages | 12 |
| Journal | Life Science Alliance |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 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)
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SDG 3 Good Health and Well-being
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