Published November 17, 2020 | Version 0.2
Dataset Open

ChIP-seq of plasma cell-free nucleosomes identifies cell-of-origin gene expression programs

  • 1. The Hebrew University of Jerusalem

Description

Genomic DNA is packed by histone proteins that carry a multitude of post-translational modifications  that reflect cellular transcriptional state. Cell-free DNA (cfDNA) is derived from fragmented chromatin in dying cells, and as such it retains the histones markings present in the cells of origin. Here, we pioneer chromatin immunoprecipitation followed by sequencing of cell-free nucleosomes (cfChIP-seq) carrying active chromatin marks. Our results show that cfChIP-seq provides multidimensional epigenetic information that recapitulates the epigenetic and transcriptional landscape in the cells of origin. We applied cfChIP-seq to 268 samples including samples from patients with heart and liver pathologies, and 135 samples from 56 metastatic CRC patients. We show that cfChIP-seq can detect pathology-related transcriptional changes at the site of the disease, beyond the information on tissue of origin. In CRC patients we detect clinically-relevant, and patient-specific information, including transcriptionally active HER2 amplifications. cfChIP-seq provides genome-wide information and requires low sequencing depth. Altogether, we establish cell-free chromatin immunoprecipitation as an exciting modality with potential for diagnosis and interrogation of physiological and pathological processes using a simple blood test.

Notes

The dataset contains several directories in gziped tar files. SetupFiles.tgz - directory with the files needed to define the regions of the genome used in the analysis. Analysis.tgz - analysis directory with the BED files in the paper. See https://github.com/nirfriedman/cfChIP-seq for code and for detailed instructions on setting up the directories.

Files

Files (19.2 GB)

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md5:192bb11ca10ba57118bcc9f89c55974e
18.6 GB Download
md5:b2322c37877508fc93b7123f9524fcf4
544.6 MB Download

Additional details

Related works

Is cited by
Software: https://github.com/nirfriedman/cfChIP-seq (URL)
Is supplement to
Preprint: BIORXIV/2019/638643v2 (Handle)

Funding

CHROMATINSYS – Systematic Approach to Dissect the Interplay between Chromatin and Transcription 340712
European Commission