Global transcriptional activity dynamics reveal functional enhancer RNAs.
Yoon Jung KimPeng XieLian CaoMichael Q ZhangTae Hoon KimPublished in: Genome research (2018)
Active enhancers of the human genome generate long noncoding transcripts known as enhancer RNAs (eRNAs). How dynamic transcriptional changes of eRNAs are physically and functionally linked with target gene transcription remains unclear. To investigate the dynamic functional relationships among eRNAs and target promoters, we obtained a dense time series of GRO-seq and ChIP-seq data to generate a time-resolved enhancer activity map of a cell undergoing an innate antiviral immune response. Dynamic changes in eRNA and pre-mRNA transcription activities suggest distinct regulatory roles of enhancers. Using a criterion based on proximity and transcriptional inducibility, we identified 123 highly confident pairs of virus-inducible enhancers and their target genes. These enhancers interact with their target promoters transiently and concurrently at the peak of gene activation. Accordingly, their physical disassociation from the promoters is likely involved in post-induction repression. Functional assessments further establish that these eRNAs are necessary for full induction of the target genes and that a complement of inducible eRNAs functions together to achieve full activation. Lastly, we demonstrate the potential for eRNA-targeted transcriptional reprogramming through targeted reduction of eRNAs for a clinically relevant gene, TNFSF10, resulting in a selective control of interferon-induced apoptosis.
Keyphrases
- transcription factor
- genome wide
- genome wide identification
- immune response
- induced apoptosis
- dna methylation
- single cell
- gene expression
- copy number
- binding protein
- endoplasmic reticulum stress
- endothelial cells
- signaling pathway
- oxidative stress
- genome wide analysis
- cancer therapy
- high throughput
- mental health
- drug delivery
- physical activity
- stem cells
- climate change
- cell therapy
- circulating tumor cells
- bone marrow
- human health
- heat stress
- inflammatory response
- electronic health record
- machine learning
- risk assessment
- induced pluripotent stem cells