Genomics, Proteomics and Interactomics
Code: 100893 ECTS Credits: 6| Degree | Type | Year |
|---|---|---|
| Biochemistry | OB | 3 |
Contact
- Name:
- Julia Lorenzo Rivera
- Email:
- julia.lorenzo@uab.cat
Teachers
- Sebastian Martin Tanco
- Jaime Luis Martinez Urtaza
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
Although no previous formal requirements have been set, basic knowledge is expected on Biochemistry and Molecular biology, Genetics, Microbiology, Cell biology, Methods on recombinant DNA and Statistics.
For certain activities a basic level of understanding for reading english is required.
Objectives and Contextualisation
Genomics is the science dealing with the structure, content and evolution of genomes. Is a relatively novel science (we can say that it was born in 1995 with the sequencing of the first bacterial genomes) that developed explosively in the last years. The development of methods for automatic sequencing of nucleic acids has been a key factor about. In 2001 the first draft of the sequence of the human genome was presented, a historic milestone that opened the doors for the studies on comparative genomics and the evolution of the human species, on the biological clues of the human nature, on the genotype-phenotype association studies to find genes or regions of DNA related with diseases, etc.
After the sequencing of genomes appeared the so called "postgenomic" period. Among its tasks are the analyses of genes and genomes expression in a massive way (Transcriptomics and Functional Genomics), the identification and structural-functional analysis of proteins (Proteomics), and of their interactions (and with the other biomolecules) and formation of complexes (interactomics). Together with the identification and quantitation of all the metabolites present in a sample of an organism (Metabolomics), such knowledge provides the basis to try the integration of the whole conjoint and reach a global description of the biology of the cell (Systems biology).
The main formative goals of the subject are : the understanding of the diversity and complexity of genomes and proteomes; the study of the historic and evolutionary character of the genetic information as well as its nature, the meaning and consequences of the intraspecific and interspecific variability; and finally the potentiality of the applications that come from the genomic, transcriptomic and proteomic information. It is also part of the subject to know the experimental and computational methods that are used in the so-called "omic" sciences.
Learning Outcomes
- CM20 (Competence) Design experiments that address questions related to genomics, proteomics, interactomics, and other disciplines of systems biology.
- CM21 (Competence) Make an oral presentation on a topic related to systems biology.
- KM24 (Knowledge) Quantitatively illustrate a biological process or system.
- KM25 (Knowledge) Describe the main methods of analysis and prediction used in systems biology.
- SM21 (Skill) Use digital resources when searching databases, analysing genomic, transcriptomic and proteomic data, and creating models of biological systems.
- SM22 (Skill) Analyse the physical and chemical foundations of the instrumentation and methodology used in the analysis of genomes, transcriptomes, proteomes, etc.
- SM23 (Skill) Examine the molecular processes of living organisms from the perspective of systems biology.
- SM24 (Skill) Interpret experimental information in the field of systems biology.
Content
GENOMICS
- Introduction to genomes
- Sequencing, assembly and annotation of genomes
- Study of gene expression: Transcriptomics
- Comparative genomics
- Nucleotide and structural variation
PROTEOMICS AND INTERACTOMICS
-
Introduction and Basic Concepts
-
Diversity of the Proteome
-
Basic Proteomics Techniques
-
Quantitative Proteomics
-
Structural and Functional Proteomics
-
Interactomics
Activities and Methodology
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Recommended readings and solving problems | 40 | 1.6 | CM20, CM21, KM24, KM25, SM21, SM22, SM23, SM24, CM20 |
| Seminars and problems | 16 | 0.64 | CM20, CM21, KM24, KM25, SM21, SM22, SM23, SM24, CM20 |
| Theory classes | 29 | 1.16 | CM20, KM24, KM25, SM22, SM23, CM20 |
| Type: Supervised | |||
| Individual tutorials | 3 | 0.12 | |
| Type: Autonomous | |||
| Study | 41 | 1.64 | CM20, KM24, KM25, SM21, SM22, SM23, SM24, CM20 |
The subject consists of theory classes, seminars for the resolution of practical cases and problems and tutorials. The following describes the organization and teaching methodology that will be followed in these three types of training activities.
Theory classes:
The contents of the theory program will be taught mainly by the teacher in the form of masterclasses with audiovisual support. Presentations used in class by the teacher will be previously available on the Virtual Campus of the subject. It is recommended that students print this material and take it to class, to use it as support when taking notes. It is advised that students regularly consult the recommended books in the Bibliography section of this teaching guide to consolidate and clarify, if necessary, the contents explained in class.
Seminars and problem classes:
The mission of seminars and problem classes is to bridge between masterclasses and practical work, promoting active learning to develop the ability to analyze and synthesize, critical reasoning, and problem-solving ability. Seminars and problem classes are sessions with a small number of students (maximum 30 students). Its mission is to deepen or complete the knowledge presented in the masterclasses by solving problems and discussing case studies. Students will receive periodic readings recommended, problems and cases to solve, web addresses to consult, etc.
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 | 80 | 9 | 0.36 | CM20, KM24, KM25, SM22, SM23, SM24 |
| Seminars and problems | 20 | 12 | 0.48 | CM20, CM21, KM24, KM25, SM21, SM22, SM23, SM24 |
Continued evaluation:
The evaluation of the subject will be carried out through a series of continued evaluation activities, a partial exam, and a retake exam, corresponding to each of the two parts of the subject: Genomics and Proteomics/Interactomics. The weight of each part of the subject will be 50% of the final grade. The following details the weight of the different tests and activities corresponding to each of the two parts of the subject:
Genomics 50%: 80% exam + 20% problems-seminars (over the overall mark: 40% exam + 10% problems and seminars)
Proteomics 50%: 80% exam + 20% problems-seminars (over the overall mark: 40% exam + 10% problems and seminars)
The partial exams will consist of multiple-choice or short-answer questions or problems. These tests will be eliminatory of matter.
Only those grades that are >=4.0 will be averaged. Students who have obtained a mark of less than 4.0 (out of 10) in the previous exam of one or both of the partials will have to take the recovery exam for the corresponding partial(s) (first partial, second partial, or both).
- To participate in the retake exam, students must have been previously evaluated in a set of activities whose weight is equivalent to a minimum of two-thirds of the total grade for the subject or module. Therefore, the student will obtain the qualification of "Not Evaluable" when the evaluation activities carried out have a weighting of less than 67% in the final qualification.
- The students who fail the continued evaluation of the part corresponding to problems and seminars will have the opportunity to make the recovery on the day of the final test.
The final test will also be open to any student who, having passed the partial tests, wishes to improve the mark obtained in one or both partial tests. In this case, the student must notify the corresponding teachers of her interest in taking the final grade improvement test and will renounce the previous grade.
Students who cannot attend an individual evaluation test for justified reasons (such as illness, death of a first-degree relative, or accident) and provide the corresponding official documentation, will have the right to take the test in question on another date.
The course is considered passed if the overall final grade is >=5.0.
At the beginning of the classes of each part of the subject, the corresponding professor will detail how the problems-seminars and the integrating exercise (in the case of the Genomics part) will be evaluated.
Unique evaluation:
There will be an Exam that will include multiple choice or short answer questions or problems from both the genomics and proteomics parts. The grade obtained in this test will account for 80% of the final grade for the subject, with 40% corresponding to the genomics part and the remaining 40% corresponding to the proteomics part.
The delivery of the activities carried out during the course will follow the same procedure and calendar as in the continued evaluation. Depending on the teacher, they can be individual or group work to be delivered in print, through the virtual campus, or through presentations in the classroom. The delivery will follow the same procedure and calendar as in the continued evaluation. The grade corresponding to this part of classroom practices will mean a final 20%, 10% corresponding to the genomics part, and the other 10% to the proteomics part.
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 useof 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.
Bibliography
Books:
- Gibson, G. & S. V. Muse, 2009 (3rd edition). A Primer of Genome Science. Sinauer, Massachusetts. USA.
- Brown, T. A., 2017 (4th edition). Genomes 4. Garland Science, UK.
- Lesk, A.M. 2017. Introduction to genomics (3rd edition). Oxford University Press, Oxford, UK.
- Twyman R. M., 2014 (2n edition). Principles of Proteomics. Garland Science, New York & London.
- Lovric J., 2011. Introducing Proteomics. Ed. John Wiley & Sons, Oxford, UK.
Links:
- Campus Virtual de la UAB: https://cv2008.uab.cat/
- Entrez Genome Database: http://www.ncbi.nlm.nih.gov/sites/genome
- Expasy Proteomics Server: http://expasy.org/sprot
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 |
|---|---|---|---|---|
| (PAUL) Classroom practices | 331 | Catalan/Spanish | second semester | morning-mixed |
| (PAUL) Classroom practices | 332 | Catalan/Spanish | second semester | morning-mixed |
| (TE) Theory | 33 | Catalan/Spanish | second semester | morning-mixed |