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MSc by Research Programme: Develop efficient CRISPR/Cas9 methods to introduce precise genetic mutations in cells

  • Full or part time
    Dr Gopal Sapkota
  • Application Deadline
    Thursday, July 16, 2020
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

This course allows you to work alongside our world renowned experts from the School of Life Sciences and gain a ’real research’ experience. You will have the opportunity to select a research project from a variety of thematic areas of research.

You will be part of our collaborative working environment and have access to outstanding shared facilities such as microscopy and proteomics. Throughout your year, you will develop an advanced level of knowledge on your topic of interest as well as the ability to perform independent research in the topic area. Alongside basic science training in experimental design, data handling and research ethics, we will help you to develop skills in critical assessment and communication. This will be supported by workshops in scientific writing, presentation skills, ethics, laboratory safety, statistics, public engagement and optional applied bioinformatics.

The period of study is one year full-time or two years part-time research, which includes two months to write up the thesis. Please apply via the UCAS postgraduate application form:

CRISPR/Cas9genome editing technology has transformed biomedical research by making rapid gene knockouts and fluorescent tag knockins on individual genes feasible. However, knocking in desired point mutations on individual genes by CRISPR/Cas9 is still challenging and very inefficient. The Sapkota laboratory has developed some CRISPR/Cas9 techniques to improve the efficiency of precise mutation knockins.

This project will offer the student to test some novel techniques with the aim of improving these techniques so that we can establish a highly efficient CRISPR/Cas9 methodology for knocking in desired point mutations in different genes. The applications of such a technology will allow researchers to understand the function of enzymes as well as disease mutants in specific cellular contexts.

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