BB2510 Proteomics 6.0 credits


Proteomics describes large-scale analysis of proteins in a biological sample. The aim of these studies is to determine the protein parts that are present in  such samples and to define their concentrations, molecular states, structures, functions or connections. Today, there are different technologies being used and developed to study the different types of samples such as to find biomarker molecules that could help to diagnose diseases or even improve  therapy of patients.

  • Education cycle

    Second cycle
  • Main field of study

  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Spring 19 for programme students

Autumn 18 for programme students

Autumn 18 Doktorand for single courses students

Intended learning outcomes

The aim of the course is to provide the students with an introduction to current methodologies and trends in the field of proteomics. The students should also obtain an overview and awareness of typical proteomics applications.

After completed course the student should be able to describe and discuss the possibilities and advantages, and the complexity and drawbacks of various proteomics technologies compare traditional methods with emerging technologies suggest suitable approaches for specified applications and motivate the choice speculate and argue about the future of proteomics technologies participate in scientific discussions regarding proteomics technologies critically evaluate scientific results

Course main content

The objective of the course is to present current trends for global protein analysis and to demonstrate its principles, challenges and complexity. The course will therefore provide an overview of typical proteomics applications used today, such as for biomarker discovery and validation.

The course is focused on different methods, technologies and strategies currently used within the field of proteomics in general and with an emphasis on biomarker discovery.


The lectures will cover background and recent advances for both classical proteomics methods, such as 2D-gel electrophoresis and mass spectrometry, and strategies based on high-throughput antibody generation, bioinformatics and structural approaches.  


Admission requirements for programme students at KTH:
At least 150 credits from grades 1, 2 and 3 of which at least 100 credits from years 1 and 2, and bachelor's work must be completed.  The 150 credits should include a minimum of 20 credits within the fields of Mathematics, Numerical Analysis and Computer Sciences, 5 of these must be within the fields of Numerical Analysis and Computer Sciences, 20 credits of Chemistry, possibly including courses in Chemical Measuring Techniques and 20 credits of Biotechnology or Molecular Biology.

Admission requirements for independent students:
A total of 20 university credits (hp) in biochemistry, microbiology and gene technology/molecular biology. 30 university credits (hp)  chemistry, as well as 20 university credits (hp) in mathematics and computer science as well as bioinformatics 3,5 university credits (hp) and statistics 3,5 university credits (hp) or corresponding. Documented proficiency in English corresponding to English B.

Recommended prerequisites

Knowledge corresponding to the following courses, or similar, is required.

BB1010 Introduction to Biotechnology

BB1020 Cell biology with Immunology

BB1080 Biochemistry, Theory

BB1110 Gene Technology and Molecular Biology

BB1130 Analysis and Purification of Biomolecules


  • Principles of Proteomics by R.M Twyman, Garland Science, ISBN: 9780815344728 (second edition)
  • Handout and articles distributed at the lectures


  • TEN1 - Examination, 5.0, grading scale: A, B, C, D, E, FX, F
  • ÖVN1 - Exercise, 1.0, grading scale: P, F

The examination consists of two parts, one oral and one written;

The oral exam will be a group activity based on understanding and presenting a summary of aspects within proteomics. Each group will prepare and present slides to the class based to summarize a given topic. Each group will describe the content and discuss the information, drawbacks and limitations in relation to proteomics. The group work will provide an overview and serve as an important learning activity in preparation for the written exam.

The written exam consists of questions that aim to discussion topics within and around proteomics. Students are expected to show that they have obtained the knowledge according to the aims of the course. The students will also be able to express own opinions regarding various aspects of proteomics technologies. Opinions cannot be right or wrong but the way the argumentation is presented will be evaluated.

Requirements for final grade

Passed grades in the written examination and in the oral part.

Offered by

CBH/Protein Science


Jochen Schwenk,


Jochen Schwenk <>


Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.