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eRNA co-expression network uncovers TF dependency and convergent cooperativity.
Lee, Seungha Alisa; Kristjánsdóttir, Katla; Kwak, Hojoong.
Affiliation
  • Lee SA; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14850, USA.
  • Kristjánsdóttir K; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14850, USA.
  • Kwak H; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14850, USA. hk572@cornell.edu.
Sci Rep ; 13(1): 19085, 2023 11 04.
Article in En | MEDLINE | ID: mdl-37925545
ABSTRACT
Enhancer RNAs (eRNAs) are non-coding RNAs produced by transcriptional enhancers that are highly correlated with their activity. Using a capped nascent RNA sequencing (PRO-cap) dataset in human lymphoblastoid cell lines across 67 individuals, we identified inter-individual variation in the expression of over 80 thousand transcribed transcriptional regulatory elements (tTREs), in both enhancers and promoters. Co-expression analysis of eRNAs from tTREs across individuals revealed how enhancers are associated with each other and with promoters. Mid- to long-range co-expression showed a distance-dependent decay that was modified by TF occupancy. In particular, we found a class of "bivalent" TFs, including Cohesin, that both facilitate and isolate the interaction between enhancers and/or promoters, depending on their topology. At short distances, we observed strand-specific correlations between nearby eRNAs in both convergent and divergent orientations. Our results support a cooperative model of convergent eRNAs, consistent with eRNAs facilitating adjacent enhancers rather than interfering with each other. Therefore, our approach to infer functional interactions from co-expression analyses provided novel insights into the principles of enhancer interactions as a function of distance, orientation, and binding landscapes of TFs.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription, Genetic / Enhancer Elements, Genetic Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription, Genetic / Enhancer Elements, Genetic Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: