Identification and optimisation of 3' synthetic UTR sequences for use in CHO-cell biomanufacturing of therapeutic proteins
Lead Research Organisation:
University of Sheffield
Department Name: School of Biosciences
Abstract
The Sudbery lab is primarily interested in how UTR sequences determine transcript fate, and we have developed a machine-learning-enhanced approach to screen the function of hundreds of thousands of synthetic UTR sequences in parallel to identify sequences with desired properties. The successful candidate will apply these approaches to identify and optimise 3' synthetic UTR sequences for use in the CHO-cell biomanufacturing.
People |
ORCID iD |
| Ian Sudbery (Primary Supervisor) | |
| Mikayla Fernholz (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/W509954/1 | 01/10/2021 | 30/09/2025 | |||
| 2620774 | Studentship | BB/W509954/1 | 01/10/2021 | 30/09/2025 | Mikayla Fernholz |