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Updated: Jan 31, 2026

Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells
Published on: December 10, 2014
Optimized ChIP-seq method facilitates transcription factor profiling in human tumors
Abhishek A Singh1,2, Karianne Schuurman1, Ekaterina Nevedomskaya1,2
1Divisions of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
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.
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