This version of the course guide is provisional until the period for editing the new course guides ends.

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Biomedical Proteomics

Code: 45553 ECTS Credits: 3
2025/2026
Degree Type Year
Bioquímica, Biología Molecular y Biomedicina OP 1

Contact

Name:
Julia Lorenzo Rivera
Email:
julia.lorenzo@uab.cat

Teachers

Francesc Xavier Avilés Puigvert
Enric Querol Murillo
Sebastian Martin Tanco

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

     The Catalan, English or Spanish languages will be mostly used depending of the lecturer that will give a particular topic and the conjoint of attendees.

     Addressed to post-graduate students in Biochemistry, Biotechnology, Biology, Biomedicine, Genetics, Microbiology, Chemistry, Informatics/Bioinformatics, Pharmacy, Medicine and Veterinary.


Objectives and Contextualisation

To acquire advanced and specialized training in the techniques and applications of proteomics in the biomedical field, with the goal of understanding the functional role of proteins in health and disease.


Learning Outcomes

  1. CA09 (Competence) Devise advanced applications of proteomics and interactomics in academic and professional settings, ethically and with respect for fundamental rights and duties, diversity and democratic values.
  2. CA10 (Competence) Explain conclusions and knowledge in the fields of proteomics and interactomics to specialist and non-specialist audiences.
  3. KA13 (Knowledge) Identify the different components present in the proteomes and interactomes of eukaryotes and prokaryotes.
  4. KA14 (Knowledge) Identify the experimental and computational methods used in proteomics and interactomics.
  5. KA15 (Knowledge) Identify biomarkers and pharmaceutical and vaccine targets and their applications to biomedical research.
  6. SA13 (Skill) Use standard methodologies, techniques and tools in proteomics, interactomics and metabolomics.
  7. SA14 (Skill) Analyse bibliographic information and digital resources related to proteomics/interactomics, bioinformatics or evolution.
  8. SA15 (Skill) Use appropriate, clear, explanatory and concise scientific language when working in the fields of proteomics and interactomics.

Content

PROTEOMICS: Instrumentation and methods of proteomics. Session of proteomics practices. Introduction to biomedical proteomics and its applications: biomarkers in biomedicine; identification of pharmacological targets; Moonlighting proteins in human diseases and in vaccine design. Interactomics and the role of protein interactions in the disease. Applications from proteomics to custom medicine.


Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Lectures 17 0.68 KA14, KA15, SA13, KA14
Type: Supervised      
Oral presentations 8 0.32 CA09, CA10, SA13, SA15, CA09
Type: Autonomous      
Student work and learning 45 1.8 CA09, CA10, KA13, KA14, KA15, SA13, SA14, SA15, CA09

Subject teaching includes three types of activities:
 
- Lectures. PowerPoint presentations accompany spoken explanations of the subject to be learned to help students visualize questions and answers.
- Reading and discussion. Students are expected to read a number of research papers during the course and participate in the critical discussion of the papers in the classroom.
- Oral presentations. Students will prepare a subject and make an oral and PowerPoint presentation of the subject to their peers.
 
15 minutes of a class will be dedicated to answer the institutional surveys of the UAB

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Exams 40% 2 0.08 CA09, CA10, KA13, KA14, KA15, SA13, SA14, SA15
Lecture attendance 20% 2 0.08 CA09, CA10, KA13, KA14, KA15, SA13, SA14, SA15
Oral presentation 40% 1 0.04 CA09, CA10, SA15

 Continuous evaluation subject (the unique evaluation does not apply): 

Final grades are a weighted average of items:

- Attendance and participation in the classroom (20%)
- Oral presentation and defense (40%)
- Exam (40%)
The student will be "not qualifiable" when the number of evaluable tests/tasks/activities done by he student do not reach to a global minimal qualification of 5.0. 
 
For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks such as literature or information searches, text correction, or translations. The student must clearly identify which parts have been generated using such technology, specify the tools used, and include a critical reflection on how these tools have influenced both the process and the final outcome of the activity. Lack of transparency regarding the use of AI in this assessed activity will be considered academic dishonesty and may result in partial or total penalization of the activity’s grade, or more severe sanctions in serious cases.

 

 
 

 

 

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Bibliography

Basic books
- Gibson, G. i S. V. Muse. A Primer of Genome Science. Sinauer, Massachusetts. USA. 2009, 3rd edition.
- Brown, T. A. Genomes. Garland Science, UK. 2009, 3rd edition.
- Kraj, A. & Silberring J. Introduction to Proteomics. Ed. Wiley, UK 2008.
- Lovrik, J. Introducting Proteomics: From concepts to sample separation, mass spectroetry and data analysis. Ed. Wiley-Blackwell, UK, 2011.
- Klipp, E. et al. Systems Biology: A textbook. Ed. Wiley-Blackwell, UK, 2009.
- Baldwin, G. et al. Synthetic Biology: A primer. Imperial College Press, UK, 2012
- Belinda Pitman. Proteomics: Proteome and proteomics analysis. Ed Syrawood 2019
- Manual de Proteómica. Ed. Sociedad Española de Proteómica. Pdf 15€ en https://payhip.com/b/FNt7
Additional journal references will be commented in thelectures
 
 
 
Useful links
UAB Virtual Campus: https://cv2008.uab.cat/
Entrez Genome Database: http://www.ncbi.nlm.nih.gov/genome

Expasy: http://www.expasy.org

Human Proteome Map: http://www.humanproteomemap.org/

ProteomicsDB: : http://www.proteomicsdb.org/


Software

None


Groups and Languages

Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.

Name Group Language Semester Turn
(PLABm) Practical laboratories (master) 1 Catalan/Spanish first semester morning-mixed
(SEMm) Seminars (master) 1 Catalan/Spanish first semester morning-mixed
(TEm) Theory (master) 1 Catalan/Spanish first semester morning-mixed