asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers.
    
    
        
    
    
        
        Nucleic Acids Res. 52, 6129-6144 (2024)
    
    
    
		
		
			
				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 sequencing datasets. We provide the first quantitative framework for identifying cooperative effects of chromatin modifications on protein binding.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
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        Schlagwörter
        Hemi-methylated Dna; Structural Basis; Histone H3; Combinatorial Modification; Variable Selection; State Discovery; Sra Domain; Recognition; Uhrf1; Binding
    
 
    
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        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2024
    
 
    
        Prepublished im Jahr 
        0
    
 
    
        HGF-Berichtsjahr
        2024
    
 
    
    
        ISSN (print) / ISBN
        0305-1048
    
 
    
        e-ISSN
        1362-4962
    
 
    
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	    Band: 52,  
	    Heft: 11,  
	    Seiten: 6129-6144 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            Oxford University Press
        
 
        
            Verlagsort
            Great Clarendon St, Oxford Ox2 6dp, England
        
 
	
        
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        Begutachtungsstatus
        Peer reviewed
    
 
     
    
        POF Topic(s)
        30205 - Bioengineering and Digital Health
30203 - Molecular Targets and Therapies
    
 
    
        Forschungsfeld(er)
        Enabling and Novel Technologies
Helmholtz Diabetes Center
    
 
    
        PSP-Element(e)
        G-503800-001
G-502800-001
    
 
    
        Förderungen
        Helmholtz Association
    
 
    
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        Erfassungsdatum
        2024-06-12