Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon-Intron Split Analysis (EISA)

• Published in: Nucleic acids research Vol. 47; no. 16; pp. 8606 - 8619
• Main Authors: Pillman, Katherine A, Scheer, Kaitlin G, Hackett-Jones, Emily, Saunders, Klay, Bert, Andrew G, Toubia, John, Whitfield, Holly J, Sapkota, Sunil, Sourdin, Laura, Pham, Hoang, Le, Thuc D, Cursons, Joseph, Davis, Melissa J, Gregory, Philip A, Goodall, Gregory J, Bracken, Cameron P
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 19-09-2019
• Subjects: Cell Line; Computational Biology - methods; Datasets as Topic; Epidermal Growth Factor - pharmacology; Epithelial Cells - cytology; Epithelial Cells - drug effects; Epithelial Cells - metabolism; Epithelial-Mesenchymal Transition - drug effects; Epithelial-Mesenchymal Transition - genetics; ErbB Receptors - genetics; ErbB Receptors - metabolism; Exons; Extracellular Signal-Regulated MAP Kinases - genetics; Extracellular Signal-Regulated MAP Kinases - metabolism; Gene Regulatory Networks; Humans; Introns; MicroRNAs - genetics; MicroRNAs - metabolism; Molecular Biology; Proto-Oncogene Proteins c-akt - genetics; Proto-Oncogene Proteins c-akt - metabolism; RNA Processing, Post-Transcriptional; RNA, Messenger - genetics; RNA, Messenger - metabolism; Signal Transduction; Transcription, Genetic; Transfection; Transforming Growth Factor beta - pharmacology
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/gkz664

Epithelial-mesenchymal transition (EMT) has been a subject of intense scrutiny as it facilitates metastasis and alters drug sensitivity. Although EMT-regulatory roles for numerous miRNAs and transcription factors are known, their functions can be difficult to disentangle, in part due to the difficulty in identifying direct miRNA targets from complex datasets and in deciding how to incorporate 'indirect' miRNA effects that may, or may not, represent biologically relevant information. To better understand how miRNAs exert effects throughout the transcriptome during EMT, we employed Exon-Intron Split Analysis (EISA), a bioinformatic technique that separates transcriptional and post-transcriptional effects through the separate analysis of RNA-Seq reads mapping to exons and introns. We find that in response to the manipulation of miRNAs, a major effect on gene expression is transcriptional. We also find extensive co-ordination of transcriptional and post-transcriptional regulatory mechanisms during both EMT and mesenchymal to epithelial transition (MET) in response to TGF-β or miR-200c respectively. The prominent transcriptional influence of miRNAs was also observed in other datasets where miRNA levels were perturbed. This work cautions against a narrow approach that is limited to the analysis of direct targets, and demonstrates the utility of EISA to examine complex regulatory networks involving both transcriptional and post-transcriptional mechanisms.