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How do cancer cells manipulate protein production rates using different levels of gene expression to deliver proliferative or secretory phenotypes?

  • Full or part time
  • Application Deadline
    Thursday, April 04, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

The Cancer Research UK Beatson Institute in Glasgow is one of the world-leading centres for cancer research. The Institute provides an outstanding research environment, underpinned by state-of-the-art core services and advanced technologies with special emphasis on imaging, metabolomics and in vivo models of cancer.

Cancer is associated with widespread changes in protein levels throughout the cell. We are interested in how post-transcriptional regulation impacts upon protein levels in tumour cells, and how these processes are controlled. The goal of this PhD is to develop new computational models that capture the dynamics of gene expression, and to use these to explore how these patterns are altered in tumours. The project will work in close collaboration with members of the RNA and Translational Control in Cancer and Integrin Biology labs as part of an interdisciplinary team that integrates bioinformatics, computational biology, and bench- and clinical-science.

The project is suited to applicants with strong computing and mathematical skills. While knowledge of cancer biology would be advantageous, it is not a pre-requisite; students who are keen to become part of an interdisciplinary team that integrates computer scientists, mathematicians, biologists, and clinical scientists are encouraged to apply.

To apply, please click on the ’Apply Online’ button, which will take you to the Beatson Institute website where you should fill in the application form. Please do not email your CV.

For informal enquiries, please email Dr Miller ()

References

Lallo A, Gulati S, Schenk MW, Khandelwal G, Berglund UW, Pateras IS, Chester CPE, Pham TM, Kalderen C, Frese KK, Gorgoulis VG, Miller C, Blackhall F, Helleday T, Dive C. Ex vivo culture of cells derived from circulating tumour cell xenograft to support small cell lung cancer research and experimental therapeutics. Br J Pharmacol. 2019 Feb;176(3):436-450. doi: 10.1111/bph.14542.

Bennett L, Howell M, Memon D, Smowton C, Zhou C, Miller CJ. Mutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinoma. Sci Rep. 2018 Oct 4;8(1):14830. doi: 10.1038/s41598-018-33276-3.

Torres-Ayuso P, Sahoo S, Ashton G, An E, Simms N, Galvin M, Leong HS, Frese KK, Simpson K, Cook N, Hughes A, Miller CJ, Marais R, Dive C, Krebs MG, Brognard J. Signaling pathway screening platforms are an efficient approach to identify therapeutic targets in cancers that lack known driver mutations: a case report for a cancer of unknown primary origin. NPJ Genom Med. 2018 Jun 20;3:15. doi: 10.1038/s41525-018-0055-6.

Lallo A, Frese KK, Morrow CJ, Sloane R, Gulati S, Schenk MW, Trapani F, Simms N, Galvin M, Brown S, Hodgkinson CL, Priest L, Hughes A, Lai Z, Cadogan E, Khandelwal G, Simpson KL, Miller C, Blackhall F, O'Connor MJ, Dive C. The Combination of the PARP Inhibitor Olaparib and the WEE1 Inhibitor AZD1775 as a New Therapeutic Option for Small Cell Lung Cancer. Clin Cancer Res. 2018 Oct 15;24(20):5153-5164. doi: 10.1158/1078-0432.CCR-17-2805.

Hudson AM, Stephenson NL, Li C, Trotter E, Fletcher AJ, Katona G, Bieniasz-Krzywiec P, Howell M, Wirth C, Furney S, Miller CJ, Brognard J. Truncation- and motif-based pan-cancer analysis reveals tumor-suppressing kinases. Sci Signal. 2018 Apr 17;11(526). pii: eaan6776. doi: 10.1126/scisignal.aan6776.

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