Nature BiotechnologyMolecular BiologyPeer-reviewed journal article
ChIP-seq of plasma cell-free nucleosomes identifies cell-of-origin gene expression programs
Ronen SadehiD, Israa Sharkia, Gavriel FialkoffiD, Ayelet Rahat, Jenia GutiniD, Alon ChappleboimiD, Mor NitzaniD, Ilana Fox-FisheriD, Daniel Neiman, Guy MeleriD, Zahala Kamari, Dayana Yaish, Tamar PeretziD, Ayala Hubert, Jonathan E. CoheniD, Azzam Salah, Mark Temper, Albert GrinshpuniD, Myriam Maoz, Samir Abu‐GazalaiD, Ami Ben YaʼacoviD, Eyal ShteyeriD, Rifaat SafadiiD, Tommy KaplaniD, Ruth ShemeriD, , Nir FriedmaniD
Abstract
AbstractGenomic 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. One Sentence SummaryChIP-seq of plasma-circulating nucleosomes (cfChIP-seq) from a simple blood test provides detailed information about gene expression programs in human organs, and cancer.
- organism: human
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: dimensionality reduction
- approach: experimental assay
- Citations
- 181
- FWCI
- 9.92
- Field percentile
- top 1%
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