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CB2080 Proteomics 7.5 credits

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Headings with content from the Course syllabus CB2080 (Spring 2023–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The objective of the course is to present current trends for large-scale protein analysis. The course will provide an overview of typical proteomics applications used today, including principles, needs and challenges. The content covers both experimental methods as well as data analysis strategies with a focus on biomarker discovery and precision medicine.

Intended learning outcomes

The aim of the course is to provide the students with an introduction to current methods, challenges, and applications in the field of proteomics.  

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

Course disposition

The lectures are given by experts in their respective fields and cover the background of the proteomic topic, methods for mass spectrometry and affinity-based analyses and their applications in clinical or biological research. The course also includes insights into how proteomics data can be used to map large-scale protein expression and current bioinformatic strategies.

The course activities include a laboratory element where the students practice the methods discussed. The work is performed in a real-world research environment and designed as a group activity ending with project presentations.

At the end of the course, there are two workshops where PhD students, postdocs and researchers present ongoing research projects. The presentations are followed by discussions in groups as well as with the whole class and the students are meant to engage with the presenter about the topic.

Literature and preparations

Specific prerequisites

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

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

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


  • TEN1 - Written exam, 5.5 credits, grading scale: A, B, C, D, E, FX, F
  • ÖVN1 - Exercise, 1.0 credits, grading scale: P, F
  • ÖVN2 - Exercise, 1.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The examination consists of this course three parts: one practical and one oral exercise and a final oral exam.

The practical exercise is based on lab work conducted in groups. Each group will have one lab assistant to supervise the group. The goal is to generate and analyze data within a specified project. A written lab report summarizing the project will be handed in per group. Attendance and active participation are mandatory for all lab sessions. This is a group activity. Hence, all students will be evaluated as group members.

The oral exercise includes presenting your lab work to your peers. Each group prepares slides summarizing your results and observations in the context of the course content. Each group will also act as an opponent to another group, and all group members are expected to present and ask questions. Attendance and active participation are mandatory for the final workshop. This is a group activity. Hence all students will be evaluated as group members.

The oral exam is performed in groups of three students and consists of questions that aim to discuss the different 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 should also be able to express their opinions regarding various aspects of proteomics technologies. Opinions cannot be right or wrong, but the way the argumentation is presented will be evaluated. Each student will be evaluated individually and regardless of the other group members.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web CB2080

Offered by

Main field of study


Education cycle

Second cycle

Add-on studies

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