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Předmět, akademický rok 2018/2019
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Immunology - a systems biology view - MB151P103E
Anglický název: Immunology - a systems biology view
Český název: Imunologie z pohledu systémové biologie
Zajišťuje: Katedra buněčné biologie (31-151)
Fakulta: Přírodovědecká fakulta
Platnost: od 2018
Semestr: letní
E-Kredity: 3
Způsob provedení zkoušky: letní s.:kombinovaná
Rozsah, examinace: letní s.:2/0 Zk [hodiny/týden]
Počet míst: 45
Minimální obsazenost: neomezen
Stav předmětu: vyučován
Jazyk výuky: angličtina
Vysvětlení: Students who would like to continue with their MSc. study in Immunology areexpected to pass both immunology courses: MB150P14E and MB151P103E -enroll to the Moodle course, please = Elearning course (link below)
Garant: RNDr. Karel Drbal, Ph.D.
Vyučující: RNDr. Karel Drbal, Ph.D.
Anotace - angličtina
Poslední úprava: RNDr. Karel Drbal, Ph.D. (24.02.2017)
Please note: the lectures are given in English language only.

A basic, one-semestral course on immune system functioning from the systems biology point of view.
The education based on data-driven knowledge is a compatible supplement to the hypothesis-driven classical education in immunology (winter semester MB150P14E Immunology). Prospectively, our theoretical lessons will be followed by a practical course on data analysis. For the time being, please consider a parallel practical course Genomické metody (MB151P102) - for Czech students only - or Methods of functional genomics (MB140P86) in the summer semester.

There is no qualification prerequisite. We will always repeat the basics of both Immunology and -omics technologies in the first half of the lesson followed by examples of 1-2 current studies in systems immunology.
Suitable for students of biology, medicine, chemistry. The course is targeted to students of 3rd (BSc.) and 4th (1st MSc.) year and PhD students in biomedical fields, incl. medical faculty students as well as Erasmus students.
Literatura - angličtina
Poslední úprava: RNDr. Karel Drbal, Ph.D. (18.02.2016)

Compulsory reading:

  • Lectures on the Moodle course web site include:
    • primary publications,
    • data examples and
    • recommended SW to be used
  • Lecture attendance is essential - we will focus on interactive method using real data and will discuss the outputs

Recommended reading:

Basic immunology:

  • L. Sompayrac: How the Immune System Works, 4th Edition, John Wiley & Sons, 2012, 152 pages, ISBN-13 978-0470657294

Expert-level immunology:

  • K. Murphy: Janeway's Immunobiology (Immunobiology: The Immune System (Janeway)), 8th Edition, Garland Science Publishing 2011, 888 pages, ISBN-13: 978-0815342434

Systems immunology:

  • No textbook in Systems immunology is currently available
Požadavky ke zkoušce - angličtina
Poslední úprava: RNDr. Karel Drbal, Ph.D. (24.02.2017)

There are two options of the evaluation:

1/ a project on a selected topic (disease report, experimental model) listed in the Moodle course. This shall comprise both review of primary papers, database search and data analysis and visualization.

2/ a multiple-choice test having the database queries an integral part of the exam: 

A computer test having 10 multiple-choice questions (5 answers each) with 3 hour time limit.

- each question is ranked by +5 points in total, if answered correctly
- there are one or more correct answers per question possible
- each of 5 answers per question is ranked from -2 (incorrect) up to +5 (a single correct answer) points


  • 100-94 points = A (excellent - summa cum laude)
  • 93-80 = B (very good - insigni cum laude); in Czech classification system = 1
  • 79-60 points = C (good - magna cum laude); in Czech classification system = 2
  • 59-47 points = D (quite good - cum laude); in Czech classification system = 3
  • 46-40 = E (pass - rite); in Czech classification system = 3
  • below 39 = FX, F (fail); in Czech classification system = 4

The borderline results (- 2 points) will be retested orally immediately after the test.

Sylabus - angličtina
Poslední úprava: RNDr. Karel Drbal, Ph.D. (24.02.2017)

In the summer semester (Immunology - a systems biology view), each lesson starts with a brief summary and repetition of essential building blocks (30 min) and continue with the online resources for data analysis. Using 1-2 examples of recent publications we are going to demonstrate how the building blocks of immune system cooperate and the immune system functions in collaboration with other body-wide systems (neuro, endocrine, metabolism) using a big data-driven systems biology approach. Final lessons show the networking at the level of cells (signaling, epigenetic, transcriptional, and posttranscriptional levels) and tissues (development, regulation, dynamics, and integration with other homeostatic systems).

- Introduction to the immune system building blocks (organs, cells, molecules)
- Evolution of immune system (innate and adaptive) - comparative genomics
- Receptor diversity generation - immunoreceptor databases and target identification
- Signaling pathways and immunosuppression - pathway modeling
- Transcription programs and immune cell polarization - microarrays, transcriptomics
- Metabolic signatures of immune cell types - metabolomics
- Heterogeneity of immune cells and/or target tissues/pathogens - cellomics
- Classes of immune response (cytokines, chemokines) - dynamics modeling
- Immune system-related pathologies and therapies - clinical databases
- Immune system organization principles & integration with neural & endocrine systems - whole body imaging
- Recapitulation & questions

Vstupní požadavky - angličtina
Poslední úprava: RNDr. Karel Drbal, Ph.D. (05.07.2015)

There is no prerequisite for this course.

However, it is beneficial to pass the basic course of Immunology (MB150P14E) during the winter semester and consider also a parallel practical course Genomické metody (MB151P102) in the summer semester (for Czech students only). Students who would like to continue with the MSc. study in Immunology are expected to pass both immunology courses: Immunology (MB150P14E) and Immunology - a systems biology view (MB151P103E).

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