First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
DATA SCIENCE
Course unit
INTRODUCTION TO OMIC DISCIPLINES
SCP7079400, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
DATA SCIENCE
SC2377, Degree course structure A.Y. 2017/18, A.Y. 2018/19
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination INTRODUCTION TO OMIC DISCIPLINES
Website of the academic structure http://datascience.scienze.unipd.it/2018/laurea_magistrale
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge MARIA PENNUTO BIO/11

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines BIO/09 Physiology 1.0
Educational activities in elective or integrative disciplines BIO/10 Biochemistry 2.0
Educational activities in elective or integrative disciplines BIO/11 Molecular Biology 1.0
Educational activities in elective or integrative disciplines MED/04 General Pathology 2.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 01/10/2018
End of activities 18/01/2019

Examination board
Examination board not defined

Syllabus
Prerequisites: Basic knowledge of theory of evolution, genetics and molecular biology.
Target skills and knowledge: Students learn how omics data are generated from biological samples (DNA, RNA, proteins). Moreover, students will integrate this information with notions of the theory of evolution and genetics (Mendel’s law, mutations, etc). Students will have examples of wet lab life, from bench (wet lab) to omics. They will learn how the evolution and the selective pressure impact on genetics and transmission of genetic information in the dynamic equilibrium that governs biological processes. Students will learn about the biology dogma (from DNA to RNA to Protein), how genetic information (deciphering the genetic code) is stored in our chromosomes and then transmitted to progeny. Finally, students will learn how and why gene expression is modulated in different tissues, with examples of tissue-specific mechanisms of gene expression regulation.
Examination methods: Oral exam: The student will be asked to present a subject of his/her own choice. We will ask two more specific questions to the student. The student may use slides on the subject of choice.
Assessment criteria: We will evaluate the knowledge acquired during the course, the acquisition of basic concepts on evolution, genetics, molecular biology, cell biology, features of DNA, RNA and protein, and tissue-specificity of gene expression.
Course unit contents: In this course the students will start from the theory of evolution to the concept of mutations, genes, genetics, and molecular biology to ultimately integrate the information and critically appreciate the molecular nature of the omics data. Specific topics are listed below:

1) Theory of evolution
2) Mendel’s laws: The beginning of genetics
3) Mutations vs polymorphisms
4) The cell: Prokaryotic vs eukaryotic cells
5) Subcellular organelles: Nucleus, cytosol, mitochondria, reticulum endoplasmaticum/Golgi complex, lysosomes
6) Dogma: DNA, RNA, protein, from gene to protein
7) OMICS data from DNA (genomics): Heterochromatin, euchromatin, Coding vs non-coding DNA, replication
8) OMICS data from RNA (transcriptomics): Transcription, splicing, microRNA, lncRNA
9) OMICS data from proteins (Proteomics): The genetic code
10) Techniques of Molecular biology to process DNA: Sanger method, new generation sequencing tchnologies (NGS), PCR, cloning for gene expression analysis
11) Biochemistry techniques: Analysis of proteome via mass spectrometry, immunoprecipitation, protein-protein interaction, analysis of protein stability, analysis of metabolites
12) Effects of species, tissues, age, and sex on OMICS data
13) Effect of environment: Nature or nurture
14) Interpreting the theory of evolution through OMICS data
Planned learning activities and teaching methods: The lecturer will introduce each topic using slides (file ppt) that will be made available to students on moodle.
Specific topics will be discussed in dedicated classes. We will verify with tests the progress of students.
Additional notes about suggested reading: Slides will be available to students.
Textbooks (and optional supplementary readings)
  • Lewin, Benjamin; Krebs, Jocelyn E.; Kilpatrick, Stephen T.; Goldstein, Elliott S., Lewin's genes 12.edited by Jocelyn E. Krebs, Elliott S. Goldstein, Stephen T. Kilpatrick. Burlington (MA): Jones & Bartlett Learning, 2017. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Working in group
  • Problem solving