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Mammalian genomes encode tens of thousands of noncoding RNAs. Most noncoding transcripts exhibit nuclear localization and several have been shown to play a role in the regulation of gene expression and chromatin remodeling. To investigate the function of such RNAs, methods to massively map the genomic interacting sites of multiple transcripts have been developed; however, these methods have some limitations. Here, we introduce RNA And DNA Interacting Complexes Ligated and sequenced (RADICL-seq), a technology that maps genome-wide RNA-chromatin interactions in intact nuclei. RADICL-seq is a proximity ligation-based methodology that reduces the bias for nascent transcription, while increasing genomic coverage and unique mapping rate efficiency compared with existing methods. RADICL-seq identifies distinct patterns of genome occupancy for different classes of transcripts as well as cell type-specific RNA-chromatin interactions, and highlights the role of transcription in the establishment of chromatin structure.
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http://dx.doi.org/10.1038/s41467-020-14337-6 | DOI Listing |
Acta Naturae
January 2025
Skryabin Institute of Bioengineering, FRC Biotechnology, Russian Academy of Sciences, Moscow, 117312 Russia.
Long non-coding RNAs (lncRNAs) play a crucial role in the epigenetic regulation of gene expression by recruiting chromatin-modifying proteins to specific genomic loci. Two databases, previously developed by our groups, HiMoRNA and RNA-Chrom, provide valuable insights into this process. The former contains data on epigenetic modification regions (peaks) correlated with lncRNA expression, while the latter offers genome-wide RNA-chromatin interaction data for tens of thousands of RNAs.
View Article and Find Full Text PDFVet Pathol
September 2025
Fred Hutchinson Cancer Center, Seattle, WA.
Spatial biology has emerged as a transformative field, offering insights into cellular interactions and organization within tissues. The field has evolved rapidly since the coining of the term "spatial omics." Now, the ability to spatially resolve proteins, RNA, chromatin, and lipids is becoming widespread, and the technologies are continually refined.
View Article and Find Full Text PDFPhytomedicine
May 2025
Third Level Research Laboratory of State Administration of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, PR China; Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics, School of Traditional Chinese Medicine, Sou
Background: Traditional Chinese medicine has been recognized for its significant role in treating acute lung injury (ALI) due to its distinct therapeutic advantages. Liang-Ge-San (LGS), a formulation from the ancient "Taiping Huimin Hejiju Fang", is believed to possess beneficial effects for treating ALI. However, LGS's precise mechanisms and efficacy in addressing viral ALI remain inadequately explored.
View Article and Find Full Text PDFACS Cent Sci
February 2025
Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Biomolecular condensates composed of highly charged biomolecules, such as DNA, RNA, chromatin, and nucleic-acid binding proteins, are ubiquitous in the cell nucleus. The biophysical properties of these charge-rich condensates are largely regulated by electrostatic interactions. Residue-resolution coarse-grained models that describe solvent and ions implicitly are widely used to gain mechanistic insights into the biophysical properties of condensates, offering transferability, computational efficiency, and accurate predictions for multiple systems.
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
RTC Bioinformatics, Kharkevich Institute for Information Transmission Problems of RAS, Bolshoy Karetny per. 19, build.1, 127051 Moscow, Russia.
RNA-chromatin interactome data are considered to be one of the noisiest types of data in biology. This is due to protein-coding RNA contacts and nonspecific interactions between RNA and chromatin caused by protocol specifics. Therefore, finding regulatory interactions between certain transcripts and genome loci requires a wide range of filtering techniques to obtain significant results.
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