This course covers the molecular basis of the maintenance, expression, and evolution of prokaryotic and eukaryotic genomes. Topics covered in this course include: gene regulation, DNA replication, genetic recombination, RNA processing, and translation.
The course will combine theoretical sessions with seminars and computer practice.
Teachers
Person in charge
Rosa Martínez Corral (
)
Weekly hours
Theory
2
Problems
2
Laboratory
0
Guided learning
0
Autonomous learning
6
Learning Outcomes
Learning Outcomes
Knowledge
K1 - Recognize the basic principles of biology, from cellular to organism scale, and how these are related to current knowledge in the fields of bioinformatics, data analysis, and machine learning; thus achieving an interdisciplinary vision with special emphasis on biomedical applications.
K6 - Recognize the ethical problems that arise from advances in the knowledge and in the application of biological concepts and their computational processing.
Skills
S6 - Identify and interpret relevant data, within the area of study, to make judgments that include social, scientific or ethical reflections.
S8 - Make decisions, and defend them with arguments, in the resolution of problems in the areas of biology, as well as, within the appropriate fields, health sciences, computer sciences and experimental sciences.
S9 - Exploit biological and biomedical information to transform it into knowledge; in particular, extract and analyze information from databases to solve new biological and biomedical problems.
Competences
C6 - Detect deficiencies in the own knowledge and overcome them through critical reflection and the choice of the best action to expand this knowledge.
C7 - Detect, from within the scope of the degree, inequalities based on sex and gender in society; integrate the different needs and preferences based on sex and gender in the design of solutions and problem solving.
Objectives
1. To acquire biological knowledge from the cellular to the organismal level, with an interdisciplinary vision and special emphasis on biomedical applications.
2. To manage and exploit all kinds of biological and biomedical information to transform it into knowledge.
3. To demonstrate knowledge, skills and appropriate practices in the area of the biology of organisms and biosystems.
Related competences:
C6,
C7,
K1,
K6,
S6,
S8,
S9,
1. That the students have demonstrated to have acquired the knowledge and understanding in a field of study that starts from the basis of general secondary education, and is typically at a level that although it is supported by advanced textbooks, includes some aspects that involve knowledge of the forefront of their field of study.
2. That the students know how to apply their knowledge to their work or vocation in a professional manner and have competencies typically demonstrated through devising and defending arguments and solving problems within their field of study.
3. That the students can convey information, ideas, problems and solutions to both specialist and non-specialist audiences.
4. That the students will acquire an intra- and interdisciplinary training in both computational and scientific subjects with a solid basic training in biology.
Related competences:
C6,
C7,
Contents
Theory
1. Replication (Replication enzymes, Replication fork, Replication in Eukaryotes, Replication in Procaryotes)
2. Chromatin Assembly
3. DNA recombination and repair (DNA mismatch repair, Double strand break repair, Homologous Recombination, Meiotic Recombination)
4. Transcription (Transcription in procaryotes, Transcription in eukaryotes, Regulation of transcription)
5. RNA processing
6. Translation
Seminars
Seminar 1: Introduction to Molecular Biology practical laboratory work
Seminar 2: Conclusions from practical laboratory work
Seminar 3: Omics
Seminar 4: Crispr/Cas9
Practical work
A) Laboratory work: CRISPR guide RNA cloning (16h). It will last 4 days/ 4 hours per day.
-gRNA oligonucleotide design
-gRNA expression vector digestion and extraction
-gRNA oligo annealing
- Ligation of the annealed gRNA oligos into the gRNA expression vector
- Transformation
- Sanger sequencing for sequence gRNA validation of expression plasmid
B) Computational analysis (10h). It will be divided in 5 sessions of 2h.
- Introduction: concepts, programming languages and software
- Protein translation in prokaryotes
- Protein translation in eukaryotes and gene prediction methods
- Functional annotation of a proteome
- Short presentation of the results, general discussion and feedback
Activities
ActivityEvaluation act
Theory
1. Replication (Replication enzymes, Replication fork, Replication in Eukaryotes, Replication in Procaryotes)
2. Chromatin Assembly
3. DNA recombination and repair (DNA mismatch repair, Double strand break repair, Homologous Recombination, Meiotic Recombination)
4. Transcription (Transcription in procaryotes, Transcription in eukaryotes, Regulation of transcription)
5. RNA processing
6. Translation Objectives:12 Contents:
1. Theoretical exposure lectures
2. Seminars project based, problem solving
3. Practical lab work
4. Computational analysis
Evaluation methodology
For the evaluation of the subject, the grade of the practical exam (P), the grade of the final exam (F), the grade of the computer analysis project (R), the grade handling of practical questionary (Q), the grade of practice problems and seminars (S) will be taken into account and will
be combined with the following formula:
Grade=(0.15*P+0.15*R+0.5*F+0.15*S+0.05*Q)
In order to successfully complete this course, the student's final grade must be at least 50 %. All the exams are compulsory.
The course assessment will be performed as follows: Theoretical final exam can be reassessed. The grade obtained at the Retake exam will substitute the grade of the Final exam and will be used to calculate the final grade according to the percentages reported above.
The seminars are mandatory, and its evaluation can not be reassessed.
The practical work is mandatory, and its evaluation can not be reassessed.
Copy in any exam or plagiarism in essay implies failing the course.