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https://hdl.handle.net/2440/121837
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Type: | Journal article |
Title: | Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon-Intron Split Analysis (EISA) |
Author: | Pillman, K.A. Scheer, K.G. Hackett-Jones, E. Saunders, K. Bert, A.G. Toubia, J. Whitfield, H.J. Sapkota, S. Sourdin, L. Pham, H. Le, T.D. Cursons, J. Davis, M.J. Gregory, P.A. Goodall, G.J. Bracken, C.P. |
Citation: | Nucleic Acids Research, 2019; 47(16) |
Publisher: | Oxford University Press |
Issue Date: | 2019 |
ISSN: | 0305-1048 1362-4962 |
Statement of Responsibility: | Katherine A. Pillman, Kaitlin G. Scheer, Emily Hackett-Jones, Klay Saunders, Andrew G Bert, John Toubia, Holly J Whitfield, Sunil Sapkota, Laura Sourdin, Hoang Pham, Thuc D. Le, Joseph Cursons, Melissa J. Davis, Philip A. Gregory, Gregory J. Goodall and Cameron P. Bracken |
Abstract: | 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. |
Keywords: | Cell Line Epithelial Cells Humans Epidermal Growth Factor Extracellular Signal-Regulated MAP Kinases Transforming Growth Factor beta MicroRNAs RNA, Messenger Transfection Computational Biology Signal Transduction Transcription, Genetic RNA Processing, Post-Transcriptional Introns Exons Proto-Oncogene Proteins c-akt Gene Regulatory Networks Epithelial-Mesenchymal Transition Datasets as Topic ErbB Receptors |
Rights: | © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
DOI: | 10.1093/nar/gkz664 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1069182 http://purl.org/au-research/grants/nhmrc/1164669 http://purl.org/au-research/grants/nhmrc/1026191 |
Published version: | http://dx.doi.org/10.1093/nar/gkz664 |
Appears in Collections: | Aurora harvest 4 Medicine publications |
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