Award details

Regulation of transcript stability by splicing in non-coding gene regions

Reference	BB/R007268/1
Principal Investigator / Supervisor	Dr Ian Sudbery
Co-Investigators / Co-Supervisors	Professor Stuart Wilson
Institution	University of Sheffield
Department	School of Biosciences
Funding type	Research
Value (£)	387,538
Status	Completed
Type	Research Grant
Start date	01/07/2018
End date	31/10/2021
Duration	40 months

Abstract

We believe that we have discovered a new mechanism for gene regulation: splicing in the 3' UTR. In current models of Nonsense Mediated Decay (NMD), premature stop codons are detected by the presence of 3' exon junction complexes. However, we have detected the expression of thousands of transcripts containing exon junctions within their 3' UTRs, some highly expressed and/or making up a large fraction of the expression from a locus. Many overlap predicted microRNA binding sites. Either these transcripts are escaping NMD or are expressed at such a high level that they can be detected anyway. It should be noted that the leading model of NMD is not universally accepted. We find preliminary evidence that while the majority of these transcripts are less stable in the cytoplasm than the nucleus, several prominent examples, which overlap MREs, are more stable in the cytoplasm. We suggest that in both these cases splicing in the 3' UTR might act as a regulatory mechanism either by destabilising it via NMD, or stabilising it through removing binding sites for miRNAs or other RNA binding factors. If we are right this represents a novel, but fundamental mechanism for the regulation of gene expression that has been hiding in plain sight, contained in data we have been ignoring. We propose to study this phenomenon by assembling RNAseq data from two large repositories of primary human data: GTEx and TCGA, and a repository of over 1000 cell lines (CCLE) and using this data to assess the effect on gene regulation between cell types and individuals, and to characterise overlaps with regulatory elements. We will use BrU labelling to study the effects on transcript stability and dependence on NMD, and reporter constructs/knock-downs to study the effects of regulatory elements. We will also use these reporters to study how this regulation responds to stimuli and how it differs between cell types.

Summary

We believe we have discovered a novel mechanism by which gene expression can be regulated. Regulation of gene expression makes one cell different from another and controls many of the ways in which cells respond to their environment. Differential regulation of gene expression, rather than differences in gene function, are also thought to underlie many of the differences between individuals. In order for a cell to express a protein from a gene it must be transcribed into RNA, which is then translated into a protein. Not all the sequence within a gene makes it into the final RNA: the "protein coding-regions" are interspersed with regions known as "introns" that must be removed by a process called splicing to reconstitute the sequence to make the protein. Regulation of gene expression is usually studied by looking at the rate of transcription, but the stability of the transcribed RNA is also important. Sequences at the end of the transcript that are not translated are called 3' Untranslated regions (3' UTRs). These UTRs contain binding sites for a range of regulatory factors (e.g. the small regulatory RNAs known as microRNAs, or RNA binding proteins such CELF1) that can alter transcript stability. Another important mechanism controlling RNA stability is called Nonsense Mediated Decay (NMD). This ensures that transcripts containing a gene-disabling mutation are destroyed. NMD also results in the destruction of transcripts that are incorrectly spliced. Splicing in the 3' UTR is thus thought to trigger NMD. Until now, RNA sequences that would have resulted from splicing in the 3' UTR have been regarded as artefacts and largely ignored. However, we have found substantial expression of thousands of such written-off RNAs, and in many cases the removed sequence contains predicted binding sites for microRNAs. This suggests two hypotheses: 1) This splicing does trigger NMD, causing a regulated destabilisation of the transcript. 2) This splicing does not triggerNMD and instead removal of UTR sequence regulates the sensitivity of RNA regulator factors such as miRNAs. We have preliminary evidence for examples of both these hypotheses. If we are correct then this will represent a novel, but fundamental mechanism of gene regulation. Here we propose to reanalyse tens of thousands of existing samples from different tissues, individuals and lab cell lines to examine the prevalence of this mechanism and how it relates to different gene expression levels between individuals and cell types. We will measure the difference in transcript stability between RNAs with splicing in the 3' UTR and those without, both in selected candidates and genome-wide. We will do this in cells with a normal NMD pathway and ones in which we have disabled the NMD pathway to determine if it is responsible for any differences. We will also ascertain whether this splicing regulates sensitivity to RNA binding factors by manipulation of the sequences of UTRs of interest and levels of the RNA binding factors. Finally we will examine the role of this mechanism in active regulation in response to pro-proliferative stimuli, such as the hormone estradiol, by measuring differences in splicing on this stimulus.

Impact Summary

Our work will explore aspects of the basic biology of gene regulation through the use of large, human data resources. Mis-regulation of such fundamental processes are at the heart of many diseases particularly cancer; other UTR altering mechanisms have been shown to be involved in cancer. In the future clinicians, patients and pharmaceutical companies will benefit from this research by guiding the creation of better diagnostic tests, and better targeted treatments. In addition, this project will benefit data analysis community and the UK economy. Health benefit. Patients and clinicians: This work will develop a better understanding of gene regulation which is of particular importance or cancer and may identify events that can act as novel biomarkers likely to help guiding treatment choices. Specifically, responses to various treatments for patients with cancer depend upon the integrity numerous molecular pathways. This work will allow a better understanding of this, and may identify specific molecules that are indicative of disease that are likely to be refractory to radiotherapy, hormonal or general chemotherapeutic treatments, and so would be better served by alternate strategies or specific targeted therapies. This work will also identify novel expressed transcripts, for which urinary, blood and tissue based assays could be developed as cancer biomarkers. Societal Impacts Policy makers: The use of large amounts of anonymized human genomics data is currently subject to much discussion in terms of privacy and security. Policy makers will be able to use this work as evidence of what can be achieved and how the benefits of collecting large amounts of genomic data can be balanced with the risks. Public: Big data is currently a topic of interest to the public. In particular the use of genomic data could become an area of concern for family members and the public. This project is a concrete example of the use of large amounts of genomic data and engaging the publicwill allow the research to consider public concerns and raise understanding around the benefits of big data research. Economic Benefits. Pharmaceutical Industry: This research may uncover novel genetic constructs that present attractive biomarkers or drug targets for the pharmaceutical industry, commercialization of which would present an economic benefit. Data Analysis Industry/Community: There is currently a trend for the better use of data in many aspects of life and this sector is vital to the economic future of the UK. However, these skills are in short supply. The community will benefit from the presence ofadditional individuals with these skills, both as potential employees, but also from the synergistic effects of an increase in the community of individuals following similar approaches to different problems sharing experience and skills.

Committee	Research Committee C (Genes, development and STEM approaches to biology)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search