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CMB2000 : Essential Biomedical Research Skills

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Vanessa Armstrong
  • Lecturer: Dr Charlotte Warren, Mx Jan Deckers, Professor Michael Briggs, Dr Luke Gaughan, Dr Damian Parry, Dr Marco Trevisan-Herraz, Dr Matthew Leach, Mr David McGeeney, Dr Simon Cockell, Mrs Rebecca Maier
  • Owning School: Biomedical, Nutritional and Sports Scien
  • Teaching Location: Newcastle City Campus

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


This module aims to give students a broad understanding of the principles underpinning techniques commonly used within biosciences as well as develop skills competence in molecular biology techniques. Students will learn how to utilise informatics and statistical software alongside technical theory to interpret results/data. An awareness and understanding of health and safety and ethical issues associated with scientific research will also be covered.

Outline Of Syllabus

The syllabus for this module can be considered under four interrelated strands;

Strand A: Practical - Molecular biology techniques covered in practical laboratory classes and other online supporting material are; DNA (plasmid)isolation/purification, heat shock transformation of E.Coli, PCR, agarose gel electrophoresis, restriction enzyme digest, SDS-PAGE, Western Blotting and ELISA.

Strand B: Ethics - Much of the scientific research introduces a number of ethical dilemmas and questions that students (as scientists) must be aware of and consider throughout their career. A series of lectures and seminars will examine the concepts of ethical reasoning and extend this to animal and human research and clinical trials.

Strand C: Informatics - The complexity of molecular biology and vast amount of data generated means that students need a clear understanding of how technologies can be used to search for, interrogate and analyse information and data effectively. A range of informatics tools, resources and databases will be introduced.

Strand D:Statistics - The analysis of data requires the application of statistics, including basic data analysis, probability (including Hardy-Weinberg equation), normal distribution, inference, T-Test, correlation and regression.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials51:005:00Non-synchronous online - Pre-recorded lectures (5 Statistics)
Scheduled Learning And Teaching ActivitiesLecture261:0026:00In person - Includes 22 lectures and 4 post practical lectures and a SAQ Q&A session
Structured Guided LearningLecture materials11:001:00Non-synchronous online - pre-recorded SAQ lecture
Scheduled Learning And Teaching ActivitiesPractical16:006:00Practical 1b: Restriction digestion, agarose gel electrophoresis and analysis of results from 1a- in person
Scheduled Learning And Teaching ActivitiesPractical16:006:00Practical 1a: lab H&S, basic technique revision, competent cells and transformation, miniprep, set up PCR – in person
Scheduled Learning And Teaching ActivitiesPractical15:005:00Practical 3: ELISA – in person
Scheduled Learning And Teaching ActivitiesPractical15:005:00Practical 2: Evaluation of expression of recombinant proteins in Escherichia coli (Western blot)- in person
Scheduled Learning And Teaching ActivitiesSmall group teaching11:001:00In person seminar on PCR and applications of this technique.
Scheduled Learning And Teaching ActivitiesSmall group teaching13:003:00In person - Informatics seminar/workshop support in computer clusters
Scheduled Learning And Teaching ActivitiesSmall group teaching11:001:00In person seminar on the evaluation of a clinical trial.
Scheduled Learning And Teaching ActivitiesWorkshops51:005:00In person - Statistics IT workshops, support will be available based in computer clusters
Scheduled Learning And Teaching ActivitiesWorkshops10:150:15Bookable 1 to 1 15 minute support sessions
Guided Independent StudyIndependent study1135:45135:45Writing up lecture notes, reviewing resources, revision and general reading.
Teaching Rationale And Relationship

The didactic lecture is still the most efficient means of providing knowledge of method principles (K1, K2) and concepts in ethics (K3).

Practical strand A:
Basic experience and practical competence in the core molecular techniques is important to all students irrespective of the degree programme (S1). Emphasis will be made on the link between techniques by investigating a putative gene that has sequence similarity to other proteins involved in transmembrane transport (K1). The techniques progress from isolation of genetic material, engineering genes into plasmids and transformation of organisms to produce the protein product. Characterisation of the protein, expression, identification and quantification follow (S2).

Ethics strand B:
Ethics surrounding scientific research influences all areas of science and is therefore important to all degree programmes (K3). Lectures provide the most efficient means of providing information about ethics. This is supported by a seminar session to facilitate interactive debate and will support students approach to the assessment.

Informatics strand C:
Although frequently referred to as bioinformatics, the module does look at wider informatics (S3). BLAST searching and interpretation of results on several commonly used bioinformatics websites provides students with sufficient knowledge to use the tools without becoming bioinformaticians. The need to revisit the avoidance of plagiarism is timely at this point as students start to write more essays and gain a better understanding of scientific writing (S4). ‘Cloud-based’ documents and databases are increasingly popular and will be used to handle some of the data and link the laboratory practical and informatics strands. Students will have the ability to access a formative interactive on-line practical within a scheduled workshop that they can perform as many times as they wish individually or as a study group prior to the on-line assessment.

Statistics strand D:
A close integration between didactic lectures and practical sessions in an IT cluster allow students to immediately apply theoretical knowledge. Each week students get a 1 hr lecture released on one aspect of numerical data analysis (K2) followed by a 1 hr practical class in which commercially available statistical software will be used (S5). The sequence of topics develops an appreciation of statistics and an introductory competence in their use.

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Digital Examination901A40In Person Invigilated via Inspera, 90 minutes, up to 50 MCQ/quiz/data analysis/calculation questions on Strand A
Exam Pairings
Module Code Module Title Semester Comment
Essential Biomedical Research Skills1Sister module delivered at NuMed. To be timetabled at 9:30 am and not on a Friday.
Other Assessment
Description Semester When Set Percentage Comment
Portfolio1M60Comment: In-course 20% statistics (NUMBAS, via Canvas), 20% informatics (via Canvas), 20% ethics (timed 1hr via Inspera, max 10 SAQs)
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
Practical/lab report1MEach practical has an associated formative assessment, electronic feedback will be provided.
Essay1MFormative invigilated timed (45 minutes) essay (hand written).
Assessment Rationale And Relationship

Practical strand (Total 40%: Exam)
On practical techniques and laboratory practical 1,2, supplementary practical and 3. On-line and automatically marked worksheets comprising mainly quiz format questions will be used to provide feedback and self-evaluation of student's understanding of the laboratory practicals. The material taught in this strand will also be examined as part of Written Examination 1 (see Assessment tables).

Ethics strand (Total 20%: Coursework)

The ethics strand consists of the seven ethics lectures, the SAQ-based seminar and Q&A will help prepare students for this question format, and the clinical trials seminar will allow group discussion of the issues raised in the scenario. This strand will be assessed by a written assignment (digital mid semester assessment, up to 10 SAQs). The assignment will provide students with the opportunity to consider ethics relating to the biosciences and help consolidate their understanding

Informatics strand (Total 20%: Coursework)

The informatics strand consists of the Informatics lectures, along with the Informatics training session. Assessment consists of an online computer assessment (short answer questions) which will test an individual student’s ability to find and interpret informatics data. The format will be almost identical to that undertaken as the formative informatics on-line practical.

Statistics strand (Total 20%: Coursework)

The statistics strand consists of 5 lectures (pre-recorded) and 5 in person sessions as outlined in the Teaching Activities table. The assessment consists of written worksheets and on-line assessment (short answer questions). A unique set of data for each student generated from their student ID number is used to test the student’s ability to apply appropriate statistical methods and interpret the results (NUMBAS will be used). The online assessment is able to provide feedback and marks quickly and efficiently.

In order to pass the core CMB2000 module candidates must achieve a mark of at least 40% and attend all compulsory practical sessions.

FMS Schools offering Semester One modules available as ‘Study Abroad’ will, where required, provide an alternative assessment time for examinations that take place after the Christmas vacation. Coursework with submissions dates after the Christmas vacation will either be submitted at an earlier date or at the same time remotely.

Reading Lists