Module Catalogue 2024/25

BGM2062 : Advanced Protein Analysis

BGM2062 : Advanced Protein Analysis

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Jon Marles-Wright
  • Lecturer: Professor Wyatt Yue, Dr Jeremy Brown, Professor Paula Salgado, Dr Kesha Josts, Professor Bert van den Berg, Dr Simon Cockell
  • 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 2 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Code Title
BGM2002Biochemistry and Genetics of Signalling and the Cell Cycle
Pre Requisite Comment

Students must have selected the biochemistry relevant cell biology module BGM2002 in semester 1 as preparation for this and other degree specific modules in semester 2.

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

None

Aims

This module is designed to equip students with an understanding of range of modern (advanced) laboratory-based protein analysis techniques, training in the use of protein data analysis programs, 3D structure modelling, as well as experience in producing and delivering a scientific presentation.

Outline Of Syllabus

Lectures will cover:

•       An introduction to biological mass spectrometry and proteomics

•       Application of bioinformatics analysis to a biological dataset

•       Structural biology techniques including (low resolution) NMR, X-ray and neutron scattering and (high resolution) X-ray crystallography and Cryo-EM methods. Interpretation of protein structural models.

•       Techniques for measurement of protein-protein interactions, reactions and protein stability


The practical classes will cover:


•       Proteomics data manipulations, database searches and investigation of a protein data repository

•       The generation and annotation of 3D protein structure models

Learning Outcomes

Intended Knowledge Outcomes

On successful completion of this module students should be able to;

K1 Describe a range of modern laboratory-based protein analysis techniques.

K2 Compare techniques to determine which should be used to provide appropriate data to resolve protein related biochemical problems.

K3. Be familiar with and know how and when to employ a range of common online tools for protein information mining.

Intended Skill Outcomes

On successful completion of this module students will be able to;

S1 Use a range of common web-based protein data analysis programs.

S2 Find, collate and assimilate a wide range of scientific data from different data sources to produce a structured and coherent discussion of the data in both oral and written forms.

S3 Produce and deliver a short scientific presentation based on the use of a specified biophysical technique and contextualise this with an example taken from the research literature and take questions from an audience.

S4. Be able to find, model and manipulate 3D protein structures.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion13:003:00In person - oral presentations
Guided Independent StudyAssessment preparation and completion125:0025:00Research and preparation time for completion of the computer-based lab report
Guided Independent StudyAssessment preparation and completion115:0015:00Oral presentation research and PowerPoint file preparation
Scheduled Learning And Teaching ActivitiesLecture131:0013:00In person
Scheduled Learning And Teaching ActivitiesPractical22:004:00In person - computer-based practical
Scheduled Learning And Teaching ActivitiesSmall group teaching11:001:00In person - seminar presentation skills
Guided Independent StudyIndependent study138:0038:00Writing up lecture notes, reading (suggested text) plus revision
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Sync online introduction to module giving overview of structure, content & assessment expectation
Total100:00
Teaching Rationale And Relationship

Lectures are used to introduce several key protein analysis methodologies and principles behind them pertaining to the practicalities of advanced data analysis.

The practical sessions will give students an opportunity to become familiar with the generation of data from the analysis of proteins via the use of dedicated protein analysis software as well as to produce 3D molecular models of proteins. These data manipulation skills will then be applied and written up via an analysis assignment in conjunction with additional provided data. The practical session is important to demonstrate the lab/computer interface and develop students' skills in finding, producing, collating and assimilating scientific data.

The presentations seminar will provide information on how to design and deliver a presentation, and provides specific instructions and expectations for the assignment.

Independent study is used for self-directed learning and includes: reading lecture notes and texts, preparation for practical classes and using learning resources on the web.

Skills practiced include critical thinking, active learning, planning and organization and independence.

Reading Lists

Assessment Methods

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

Other Assessment
Description Semester When Set Percentage Comment
Computer assessment2M60Computer-based pract (Canvas) - Q&A proforma consisting of 7 main activities/tasks, each made up of several multiple question parts
Oral Examination2M40Oral presentation (5 mins + 5 mins questions) - in person
Assessment Rationale And Relationship

The oral presentation will afford students an opportunity in presenting before an audience of peers. It shall require each student to deliver a short 5 minute presentation and then answer questions from the audience. Each student will be given a different biophysical topic randomly allocated. This exercise will assess the student's ability to research and interpret scientific information from the primary literature, deploy planning and organisational skills, as well as oral presentation skills.

The practical report provides the students with an opportunity to develop a familiarity with the use of online proteomic analysis tools and to write a formal lab report that will incorporate elements of data and results from the use of such specialist software programs as well as recall elements of the taught material.

Timetable

Past Exam Papers

General Notes

Original Handbook text:

Welcome to Newcastle University Module Catalogue

This is where you will be able to find all key information about modules on your programme of study. It will help you make an informed decision on the options available to you within your programme.

You may have some queries about the modules available to you. Your school office will be able to signpost you to someone who will support you with any queries.

Disclaimer

The information contained within the Module Catalogue relates to the 2024 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.