bioRxivMolecular BiologyPreprint
Re-evaluating the role of nucleosomal bivalency in early development
Rohan N. ShahiD, Adrian T. GrzybowskiiD, Jimmy EliasiD, Zhonglei Chen, Takamitsu HattoriiD, Carolin C. Lechner, Peter W. LewisiD, Shohei KoideiD, Beat FierziD, Alexander J. RuthenburgiD
Abstract
Nucleosomes, composed of DNA and histone proteins, represent the fundamental repeating unit of the eukaryotic genome1; posttranslational modifications of these histone proteins influence the activity of the associated genomic regions to regulate cell identity2-4. Traditionally, trimethylation of histone 3-lysine 4 (H3K4me3) is associated with transcriptional initiation5-10, whereas trimethylation of H3K27 (H3K27me3) is considered transcriptionally repressive11-15. The apparent juxtaposition of these opposing marks, termed "bivalent domains"16-18, was proposed to specifically demarcate of small set transcriptionally-poised lineage-commitment genes that resolve to one constituent modification through differentiation, thereby determining transcriptional status19-22. Since then, many thousands of studies have canonized the bivalency model as a chromatin hallmark of development in many cell types. However, these conclusions are largely based on chromatin immunoprecipitations (ChIP) with significant methodological problems hampering their interpretation. Absent direct quantitative measurements, it has been difficult to evaluate the strength of the bivalency model. Here, we present reICeChIP, a calibrated sequential ChIP method to quantitatively measure H3K4me3/H3K27me3 bivalency genome-wide, addressing the limitations of prior measurements. With reICeChIP, we profile bivalency through the differentiation paradigm that first established this model16,18: from naive mouse embryonic stem cells (mESCs) into neuronal progenitor cells (NPCs). Our results cast doubt on every aspect of the bivalency model; in this context, we find that bivalency is widespread, does not resolve with differentiation, and is neither sensitive nor specific for identifying poised developmental genes or gene expression status more broadly. Our findings caution against interpreting bivalent domains as specific markers of developmentally poised genes.
- organism: mouse
- assay: ChIP-seq
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 6
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