A Method to Identify Nucleolus-Associated Chromatin Domains (NADs)

Author(s):  
Marie-Christine Carpentier ◽  
Ariadna Picart-Picolo ◽  
Frédéric Pontvianne
Keyword(s):  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Marie Zufferey ◽  
Yuanlong Liu ◽  
Daniele Tavernari ◽  
Marco Mina ◽  
Giovanni Ciriello

Abstract Background Spatial interactions and insulation of chromatin regions are associated with transcriptional regulation. Domains of frequent chromatin contacts are proposed as functional units, favoring and delimiting gene regulatory interactions. However, contrasting evidence supports the association between chromatin domains and transcription. Result Here, we assess gene co-regulation in chromatin domains across multiple human cancers, which exhibit great transcriptional heterogeneity. Across all datasets, gene co-regulation is observed only within a small yet significant number of chromatin domains. We design an algorithmic approach to identify differentially active domains (DADo) between two conditions and show that these provide complementary information to differentially expressed genes. Domains comprising co-regulated genes are enriched in the less active B sub-compartments and for genes with similar function. Notably, differential activation of chromatin domains is not associated with major changes of domain boundaries, but rather with changes of sub-compartments and intra-domain contacts. Conclusion Overall, gene co-regulation is observed only in a minority of chromatin domains, whose systematic identification will help unravel the relationship between chromatin structure and transcription.


Author(s):  
Peter Ebert ◽  
Marcel H Schulz

Abstract Motivation The generation of genome-wide maps of histone modifications using chromatin immunoprecipitation sequencing (ChIP-seq) is a standard approach to dissect the complexity of the epigenome. Interpretation and differential analysis of histone datasets remains challenging due to regulatory meaningful co-occurrences of histone marks and their difference in genomic spread. To ease interpretation, chromatin state segmentation maps are a commonly employed abstraction combining individual histone marks. We developed the tool SCIDDO as a fast, flexible, and statistically sound method for the differential analysis of chromatin state segmentation maps. Results We demonstrate the utility of SCIDDO in a comparative analysis that identifies differential chromatin domains (DCD) in various regulatory contexts and with only moderate computational resources. We show that the identified DCDs correlate well with observed changes in gene expression and can recover a substantial number of differentially expressed genes. We showcase SCIDDO’s ability to directly interrogate chromatin dynamics such as enhancer switches in downstream analysis, which simplifies exploring specific questions about regulatory changes in chromatin. By comparing SCIDDO to competing methods, we provide evidence that SCIDDO’s performance in identifying differentially expressed genes (DEG) via differential chromatin marking is more stable across a range of cell-type comparisons and parameter cut-offs. Availability The SCIDDO source code is openly available under github.com/ptrebert/sciddo Supplementary information Supplementary data are available at Bioinformatics online.


2017 ◽  
Vol 67 (2) ◽  
pp. 282-293.e7 ◽  
Author(s):  
Tadasu Nozaki ◽  
Ryosuke Imai ◽  
Mai Tanbo ◽  
Ryosuke Nagashima ◽  
Sachiko Tamura ◽  
...  

Nucleus ◽  
2017 ◽  
Vol 8 (4) ◽  
pp. 353-359 ◽  
Author(s):  
Soya Shinkai ◽  
Tadasu Nozaki ◽  
Kazuhiro Maeshima ◽  
Yuichi Togashi

2013 ◽  
Vol 42 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Geet Duggal ◽  
Hao Wang ◽  
Carl Kingsford

2017 ◽  
Vol 63 ◽  
pp. 123-134 ◽  
Author(s):  
Fabio Ciccarone ◽  
Michele Zampieri ◽  
Paola Caiafa

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