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Module

BMD2001 : Genomics and Gene expression in Disease (Inactive)

  • Inactive for Year: 2025/26
  • Module Leader(s): Dr Shiney Mathew
  • Co-Module Leader: Dr Joanna Elson
  • Lecturer: Dr Mauro Santibanez Koref, Dr Jeremy Brown, Dr Simon Whitehall
  • 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 aim of this module is to:

Equip students with knowledge about the structure, function, and variation of the human genome.

Develop knowledge and understanding of the mechanisms by which eukaryotes regulate gene expression through control of transcription, chromatin, mRNA stability and translation.

Discuss the role of genetic variation and gene expression changes in the pathogenesis of disease.

Consider different approaches, including use of bioinformatics tools, for identifying genes underlying human genetic disorder and characterizing their functions

Outline Of Syllabus

Topics covered by this module include:

the organisation of the human genome and its impact on mutation, variation, and function.

regulatory mechanisms of gene expression, methods for studying expression patterns

approaches to investigating human genetic disorders, including the identification of causative genes and their functions.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture201:0020:00Core module knowledge lectures
Guided Independent StudyAssessment preparation and completion156:0056:00Preparation for in-course assessment, poster preparation and revision for online exams
Scheduled Learning And Teaching ActivitiesPractical12:002:00Skills workshop (PC cluster) identifying disease-associated genetic variants, exploring their implications, and designing gene editing experiments
Scheduled Learning And Teaching ActivitiesSmall group teaching21:002:00Seminars
Scheduled Learning And Teaching ActivitiesWorkshops22:004:00WS1 Bioinformatics tools (cluster based) workshop. WS2 Scientific paper interpretation workshop.
Guided Independent StudyIndependent study1115:00115:00Writing notes, reflecting on lectures based on textbooks and recap
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Feedback session
Total200:00
Teaching Rationale And Relationship

Lectures will provide students with foundational knowledge and a comprehensive understanding of the key concepts, principles, and methodologies in genomics, gene expression, and their roles in disease. They serve to introduce and explain theoretical content that forms the basis for more applied and practical learning.



Seminars will complement lectures by promoting active learning, critical thinking, and collaborative problem-solving by engaging in group discussions, case studies, and problem-solving activities.



Practical session and workshop will provide hands-on experience with key techniques and bioinformatics tools used in genomics and gene expression research.

Assessment Methods

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

Exams
Description Length Semester When Set Percentage Comment
Digital Examination901A60Inspera invigilated MCQ (max 60)+ SAQ including data interpretation questions (max 6)
Other Assessment
Description Semester When Set Percentage Comment
Portfolio1M40In-course Informatics assessment via Canvas (20%); invigilated timed essay (45 minutes) (20%)
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Digital Examination1MInspera invigilated paper interpretation exercise (60 mins); formative practice exam
Assessment Rationale And Relationship

In order to pass this module, all summative assessments and portfolio components must be passed, alongside achieving an overall module mark of 40%.

Digital examination will assess the students' knowledge and understanding of taught material and ability to critically interpret experimental data

Informatics assessment (via CANVAS) will test ability to use bioinformatics tools to find and interpret informatics data.

The timed essay assesses each student’s knowledge base, comprehension and ability to discuss the subject critically in written format.

The formative paper interpretation exercise will support development of ability to critically interpret experimental data

Reading Lists

Timetable