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Module

BMD3027 : Therapeutic Applications of Cell Signalling (Inactive)

  • Inactive for Year: 2025/26
  • Module Leader(s): Dr Christina Elliott
  • Co-Module Leader: Dr Catherine Meplan, Professor Neil Perkins
  • Lecturer: Professor Craig Robson
  • Owning School: Biomedical, Nutritional and Sports Scien
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System

Aims

The aims of this module are to:

Provide students with a thorough understanding of the molecular mechanisms underpinning key cell signalling pathways and how these contribute to both normal and pathological cell function.

Develop students’ understanding of how cell signalling pathways are studied both experimentally in the laboratory and through computer-based data analysis.

Demonstrate how the understanding of cell signalling can be leveraged in the development of novel therapies and clinical strategies in a wide range of disease contexts.

Outline Of Syllabus

Topics covered by this module include:

1) The connection between cell signalling and disease and how scientists can leverage this knowledge for drug discovery/ repurposing.

2) Mechanisms of drug resistance, synthetic lethality, and signal pathway profiling.

3) Novel therapeutic modalities such as gene editing, tissue targeting using nanobodies and modulating protein turnover.

4) In silico analysis of cell signalling pathway data for target identification/ validation.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion701:0070:00Assessment preparation and completion, including revision and extra reading for assessment.
Scheduled Learning And Teaching ActivitiesLecture201:0020:00Mix of interactive and didactic lectures
Scheduled Learning And Teaching ActivitiesSmall group teaching31:003:00Seminars on emerging technologies
Scheduled Learning And Teaching ActivitiesWorkshops22:004:00Workshops to support lab session and assessment preparation
Scheduled Learning And Teaching ActivitiesWorkshops13:003:00Computational lab session
Guided Independent StudyIndependent study501:0050:00Updating lecture notes, with additional knowledge from wider reading and external sources.
Guided Independent StudyIndependent study501:0050:00Reflective learning. Writing up lecture notes and understanding core material provided.
Total200:00
Teaching Rationale And Relationship

Lectures will provide students with core knowledge, relating to knowledge outcomes (K1-4). The seminars will encourage critical appraisal and application of core knowledge through discussion (S1). The in silico practical workshop will provide hands-on experience of a range of computational techniques (K5, S4-5). Independent study will allow students to extend their knowledge through reading of journal articles and other recommended references (K1-5, S3). Preparation for the assessments will be supported through a combination of taught workshops and guided independent study (K1-5, S1-5).

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M40Individual report from the in-silico lab (1000 words)
Research proposal1M60Individual grant proposal (2000 words)
Assessment Rationale And Relationship

The computational laboratory report will assess students’ writing and information literacy skills, as well as their ability to interpret and analyse experimental data. The grant proposal assessment is an authentic assessment that tests students’ ability to consolidate their understanding of a subject area, demonstrate critical thinking and reading in the subject area. The overall assessment strategy will provide evidence that all intended knowledge and skills learning outcomes have been met (K1-5, S1-5)

Reading Lists

Timetable