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asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers

bioRxiv, ISSN: 2692-8205
2024
  • 1
    Citations
  • 0
    Usage
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    Captures
  • 1
    Mentions
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    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
    • Citation Indexes
      1
      • CrossRef
        1
  • Mentions
    1
    • News Mentions
      1
      • 1

Most Recent News

asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers

2024 APR 02 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- According to news reporting based on a preprint abstract,

Article Description

Chromatin, the nucleoprotein complex consisting of DNA and histone proteins, plays a crucial role in regulating gene expression by controlling access to DNA. Chromatin modifications are key players in this regulation, as they help to orchestrate DNA transcription, replication, and repair. These modifications recruit epigenetic “reader” proteins, which mediate downstream events. Most modifications occur in distinctive combinations within a nucleosome, suggesting that epigenetic information can be encoded in combinatorial chromatin modifications. A detailed understanding of how multiple modifications cooperate in recruiting such proteins has, however, remained largely elusive. Here, we integrate nucleosome affinity purification data with high-throughput quantitative proteomics and hierarchical interaction modeling to estimate combinatorial effects of chromatin modifications on protein recruitment. This is facilitated by the computational workflow asteRIa which combines hierarchical interaction modeling, stability-based model selection, and replicate-consistency checks for a stable estimation of Robust Interactions among chromatin modifications. asteRIa identifies several epigenetic reader candidates responding to specific interactions between chromatin modifications. For the polycomb protein CBX8, we independently validate our results using genome-wide ChIP-Seq and bisulphite datasets. We provide the first quantitative framework for identifying cooperative effects of chromatin modifications on protein binding.

Bibliographic Details

Mara Stadler; Christian L. Müller; Saulius Lukauskas; Till Bartke

Cold Spring Harbor Laboratory

Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; Immunology and Microbiology; Neuroscience; Pharmacology, Toxicology and Pharmaceutics

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