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Deciphering the complexity of human non-coding promoter-proximal transcriptome
- Source :
- Bioinformatics, Bioinformatics, vol. 35, no. 15, pp. 2529-2534
- Publication Year :
- 2018
- Publisher :
- Oxford University Press (OUP), 2018.
-
Abstract
- Motivation Long non-coding RNAs (lncRNAs) have gained increasing relevance in epigenetic regulation and nuclear functional organization. High-throughput sequencing approaches have revealed frequent non-coding transcription in promoter-proximal regions. However, a comprehensive catalogue of promoter-associated RNAs (paRNAs) and an analysis of the possible interactions with neighboring genes and genomic regulatory elements are missing. Results Integrating data from multiple cell types and experimental platforms we identified thousands of paRNAs in the human genome. paRNAs are transcribed in both sense and antisense orientation, are mostly non-polyadenylated and retained in the cell nucleus. Transcriptional regulators, epigenetic effectors and activating chromatin marks are enriched in paRNA-positive promoters. Furthermore, paRNA-positive promoters exhibit chromatin signatures of both active promoters and enhancers. Promoters with paRNAs reside preferentially at chromatin loop boundaries, suggesting an involvement in anchor site recognition and chromatin looping. Importantly, these features are independent of the transcriptional state of neighboring genes. Thus, paRNAs may act as cis-regulatory modules with an impact on local recruitment of transcription factors, epigenetic state and chromatin loop organization. This study provides a comprehensive analysis of the promoter-proximal transcriptome and offers novel insights into the roles of paRNAs in epigenetic processes and human diseases. Availability and implementation Genomic coordinates of predicted paRNAs are available at https://figshare.com: https://doi.org/10.6084/m9.figshare.7392791.v1 and https://doi.org/10.6084/m9.figshare.4856630.v2. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- Statistics and Probability
Computational biology
Biology
Biochemistry
Epigenesis, Genetic
03 medical and health sciences
Chromatin
Humans
Promoter Regions, Genetic
RNA, Long Noncoding/genetics
Transcriptome
Epigenetics
Enhancer
Molecular Biology
Transcription factor
030304 developmental biology
0303 health sciences
030302 biochemistry & molecular biology
Promoter
Genome Analysis
Non-coding RNA
Computer Science Applications
Discovery Note
Computational Mathematics
Computational Theory and Mathematics
RNA, Long Noncoding
Chromatin Loop
Human genome
Subjects
Details
- ISSN :
- 14602059 and 13674803
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....de5ce759700df83dc9b18cb1236b5b68