Dataset Information

Domain model explains propagation dynamics and stability of K27 and K36 methylation landscape

ABSTRACT: Chromatin states must be stably maintained during cell proliferation to uphold cellular identity and genome integrity. Inheritance of histone modifications across cell division is thought to be central in this process. However, the histone modification landscape is challenged by the incorporation of new unmodified histones during each cell cycle and the principles that govern heritability remain poorly defined. Here, we take a quantitative approach and develop a reusable computational model that describes propagation of K27 and K36 methylation states. We measure combinatorial K27 and K36 methylation patterns by quantitative mass spectrometry on subsequent generations of histones in the presence and absence of enzymatic inhibition. Our modelling rejects active global demethylation and invoke the existence of 8 domains defined by distinct methylation endpoints. We find that K27me3 on pre- existing histones stimulates the rate of de novo K27me3 establishment, supporting a read-write mechanism in timely chromatin restoration. Finally, we provide a detailed, quantitative picture of the mutual antagonism between K27 and K37 methylation, and propose that this antagonism enhance the stability of epigenetic states across cell division.

OTHER RELATED OMICS DATASETS IN: GSE135029

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Cell Culture, Embryonic Stem Cell

SUBMITTER: Moritz Voelker-Albert

LAB HEAD: Prof. Dr. Axel Imhof

PROVIDER: PXD014807 | Pride | 2020-01-29

REPOSITORIES: Pride

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Publications

Domain Model Explains Propagation Dynamics and Stability of Histone H3K27 and H3K36 Methylation Landscapes.

Alabert Constance C Loos Carolin C Voelker-Albert Moritz M Graziano Simona S Forné Ignasi I Reveron-Gomez Nazaret N Schuh Lea L Hasenauer Jan J Marr Carsten C Imhof Axel A Groth Anja A

Cell reports 20200101 4

Chromatin states must be maintained during cell proliferation to uphold cellular identity and genome integrity. Inheritance of histone modifications is central in this process. However, the histone modification landscape is challenged by incorporation of new unmodified histones during each cell cycle, and the principles governing heritability remain unclear. We take a quantitative computational modeling approach to describe propagation of histone H3K27 and H3K36 methylation states. We measure co ...[more]

PMID: 31995760

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Project description:DNA methylation of C5-cytosine (5mC) in the mammalian genome is a key epigenetic event that is critical for various cellular processes. However, how the genome-wide 5mC pattern is dynamically regulated remains a fundamental question in epigenetic biology. The TET family of 5mC hydroxylases, which convert 5mC to 5-hydroxymethylcytosine (5hmC), have provided a new potential mechanism for the dynamic regulation of DNA methylation. The extent to which individual Tet family members contribute to the genome-wide 5mC and 5hmC patterns and associated gene network remains largely unknown. Here we report genome-wide mapping of Tet1 and 5hmC in mESCs and reveal a mechanism of action by which Tet1 controls 5hmC and 5mC levels in mESCs. In combination with microarray and mRNA-seq expression profiling, we identify a comprehensive yet intricate gene network influenced by Tet1. We propose a model whereby Tet1 controls DNA methylation both by binding to CpG-rich regions to prevent unwanted DNA methyltransferase activity, and by converting the existing 5mC to 5hmC through its enzymatic activity. This Tet1-mediated antagonism of CpG methylation imparts differential maintenance of DNA methylation status at Tet1 target loci, thereby providing a new regulatory mechanism for establishing the epigenetic landscape of mESCs, which ultimately contributes to mESC differentiation and the onset of embryonic development. To determine the genome-wide distribution of Tet1 and 5hmC in mouse ES cells, as well as identify the gene transcription changes after Tet1 depletion. GSM706669-GSM706671: We used GST pull-down followed by deep sequencing to map the DNA bound by the Tet1 CXXC domain in vitro. We made two mutants that have a single point mutation (Cys574 to Ala or Cys586 to Ala) in the core CXXC domain to ascertain the essential role of the CXXC domain in DNA binding by comparing the sequencing profile of DNA bound by wild type CXXC with the profiles of the CXXC mutants. GSM706672-GSM706673: Tet1 ChIP-seq was performed to identify the genome-wide distribution of Tet1 in mouse ES cells. GSM706674-GSM706679: We performed hydroxymethylated DNA immunoprecipitation (hMeDIP)-seq combined with a shRNA-mediated gene depletion strategy. To identify the loci specific 5hmC regulation by Tet1, we compared the 5hmC genome-wide distributions in control (Luc shRNA) and Tet1-depleted (Tet1 shRNA2863) mouse ES cells. GSM706680-GSM706682: To identify the gene regulation network by Tet1, we compared the gene expression profiles of control (scramble shRNA) and Tet1-depleted (Tet1 shRNA 2863 and Tet1 shRNA 3387) mouse ES cells determined by mRNA-seq.

Dataset Information

Domain model explains propagation dynamics and stability of K27 and K36 methylation landscape

Publications

Domain Model Explains Propagation Dynamics and Stability of Histone H3K27 and H3K36 Methylation Landscapes.

Similar Datasets

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