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Biomedical Proteomics

Code: 45553
Credits: 3
2026/2027
Degree programme Type Course
Biochemistry, Molecular Biology and Biomedicine OP 1

Contact lecturer

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

Teaching staff

Enric Querol Murillo
Francesc Xavier Avilés Puigvert

Group languages

You can consult this information at the end of the 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

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

  • CA09 (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.) 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.
  • CA10 (Explain conclusions and knowledge in the fields of proteomics and interactomics to specialist and non-specialist audiences.) Explain conclusions and knowledge in the fields of proteomics and interactomics to specialist and non-specialist audiences.
  • KA13 (Identify the different components present in the proteomes and interactomes of eukaryotes and prokaryotes.) Identify the different components present in the proteomes and interactomes of eukaryotes and prokaryotes.
  • KA14 (Identify the experimental and computational methods used in proteomics and interactomics.) Identify the experimental and computational methods used in proteomics and interactomics.
  • KA15 (Identify biomarkers and pharmaceutical and vaccine targets and their applications to biomedical research.) Identify biomarkers and pharmaceutical and vaccine targets and their applications to biomedical research.
  • SA13 (Use standard methodologies, techniques and tools in proteomics, interactomics and metabolomics.) Use standard methodologies, techniques and tools in proteomics, interactomics and metabolomics.
  • SA14 (Analyse bibliographic information and digital resources related to proteomics/interactomics, bioinformatics or evolution.) Analyse bibliographic information and digital resources related to proteomics/interactomics, bioinformatics or evolution.
  • SA15 (Use appropriate, clear, explanatory and concise scientific language when working in the fields of proteomics and interactomics.) Use appropriate, clear, explanatory and concise scientific language when working in the fields of proteomics and interactomics.

Contents

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.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Lectures 17 0.68 KA14, KA15, SA13
Oral presentations 8 0.32 CA09, CA10, SA13, SA15
Student work and learning 45 1.8 CA09, CA10, KA13, KA14, KA15, SA13, SA14, SA15
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

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Lecture attendance 20% 2 0.08 CA09, CA10, KA13, KA14, KA15, SA13, SA14, SA15
Oral presentation 40% 1 0.04 CA09, CA10, SA15
Exams 40% 2 0.08 CA09, CA10, KA13, KA14, KA15, SA13, SA14, 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 the student does not reach a global minimum 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.


Any irregularity committed during an assessment activity (academic misconduct, plagiarism, or improper use of AI, unless such use is expressly authorized in the course syllabus) that may lead to a significant alteration of the grade will result in that activity being graded as 0. If the course syllabus stipulates that obtaining a minimum mark in this assessment is an essential requirement to pass the course, or if multiple irregularities occur in the assessment activities of the same course, the final grade for the course will be 0. Furthermore, disciplinary proceedings may be initiated against any student who incurs any of these irregularities.





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

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TEm) Theory (master) 1 Catalan/Spanish first semester morning-mixed
(PLABm) Practical laboratories (master) 1 Catalan/Spanish first semester morning-mixed
(SEMm) Seminars (master) 1 Catalan/Spanish first semester morning-mixed