Genome ResearchGenomicsPeer-reviewed journal article
Nucleosome repositioning in chronic lymphocytic leukaemia
Kristan V. Piroeva, Charlotte McDonald, Charalampos Xanthopoulos, Chelsea Fox, Christopher T. ClarksoniD, Jan‐Philipp MallmiD, Yevhen VainshteiniD, Luminiţa Ruje, Lara C. KlettiD, Stephan StilgenbaueriD, Daniel MertensiD, Efterpi KostareliiD, Karsten RippeiD, Vladimir B. TeifiD
Abstract
The location of nucleosomes in the human genome determines the primary chromatin structure and regulates access to regulatory regions. However, genome-wide information on deregulated nucleosome occupancy and its implications in primary cancer cells is scarce. Here, we performed a systematic comparison of high-resolution nucleosome maps in peripheral-blood B-cells from patients with chronic lymphocytic leukaemia (CLL) and healthy individuals at single base pair resolution. Our investigation uncovered significant changes of both nucleosome positioning and packing in CLL. Globally, the spacing between nucleosomes (the nucleosome repeat length, NRL) was shortened in CLL. This effect was stronger in the more aggressive IGHV-unmutated than IGHV-mutated CLL subtype. Changes in nucleosome occupancy at specific sites were linked to active chromatin remodelling and reduced DNA methylation. Nucleosomes lost or gained in CLL in comparison with non-malignant B-cells marked differential binding of 3D chromatin organisers such as CTCF as well as immune response-related transcription factors, allowing delineating epigenetic mechanisms affected in CLL. Furthermore, patients could be better assigned to CLL subtypes according to nucleosome occupancy at cancer-specific sites than based on DNA methylation or gene expression. Thus, nucleosome positioning constitutes a novel readout to dissect molecular mechanisms of disease progression and to stratify patients. Furthermore, we anticipate that the global nucleosome positioning changes detected in our study, like the reduced NRL, can be exploited for liquid biopsy applications based on cell-free DNA to monitor disease progression.
- organism: human
- assay: DNA methylation
- assay: ChIP-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 18
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