Molecular Tools for Proteome Analysis
Course, Master's level, 3MG326
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 March 2027–2 May 2027
- Language of instruction
- English
- Entry requirements
-
180 credits in biology, bio-/medicine, biotechnology, pharmaceutical biosciences, medical science or equivalent education giving relevant knowledge in cell biology, genetics biochemistry and molecular biology. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
- Du som inte är medborgare i ett EU-/EES-land eller Schweiz måste i regel betala anmälnings- och studieavgift.
- First tuition fee instalment: SEK 20,625
- Total tuition fee: SEK 20,625
- Application deadline
- 15 October 2026
- Application code
- UU-92008
Admitted or on the waiting list?
Spring 2027 Spring 2027, Uppsala, 100%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 March 2027–2 May 2027
- Language of instruction
- English
- Entry requirements
-
180 credits in biology, bio-/medicine, biotechnology, pharmaceutical biosciences, medical science or equivalent education giving relevant knowledge in cell biology, genetics biochemistry and molecular biology. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
About the course
The course will provide insight into molecular diagnostic methods' applications, strategies and implications in research and medicine. Different methods for protein analysis, including a variety of affinity-based protein detection methods like Proximity ligation assays (PLA) and affibodies will be illustrated. Molecular tools and technologies used in the Human Proteome Project, e.g. high-throughout in situ detection of protein expression in different tissues and cancers will also be illustrated. The development of novel molecular methods for diagnosing diseases, including nanotechnology-based diagnostics, and their application in medical clinics will be discussed.
Reading list
No reading list found.