GRADUATE SCHOOL

M.SC. in Bioengineering (With Thesis)

BEN 513 | Course Introduction and Application Information

Course Name
Molecular Basis of Gene Therapy
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BEN 513
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to introduce students molecular basis of cell gene therapy; viral and nonviral gene transfer techniques and gene therapy applications in hereditary and acquired diseases.
Learning Outcomes The students who succeeded in this course;
  • Describe the molecular basis of genetic diseases.
  • Compare the animal models used to model genetic diseases
  • Explain the therapeutic strategies in gene therapy.
  • Identify the viral and nonviral gene transfer techniques.
  • Discuss the ethics of gene therapy.
Course Description This course covers genetic diseases, gene therapy and molecular diagnostics.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Gene Therapy A Handbook of Gene and Cell Therapy - Chapter 1
2 Non-viral Vectors for Gene Therapy A Handbook of Gene and Cell Therapy - Chapter 2
3 Viral Vectors for Gene Therapy-1 A Handbook of Gene and Cell Therapy - Chapter 3
4 Viral Vectors for Gene Therapy-2 A Handbook of Gene and Cell Therapy - Chapter 3
5 Barriers to Gene Delivery A Handbook of Gene and Cell Therapy - Chapter 4
6 Stem Cells and Tissue Regeneration-1 A Handbook of Gene and Cell Therapy - Chapter 5
7 Midterm
8 Stem Cells and Tissue Regeneration-2 A Handbook of Gene and Cell Therapy - Chapter 5
9 Gene Therapy Strategies: Gene Augmentation A Handbook of Gene and Cell Therapy - Chapter 6
10 Gene Therapy Strategies: Gene Silencing A Handbook of Gene and Cell Therapy - Chapter 7
11 Gene Editing A Handbook of Gene and Cell Therapy - Chapter 8
12 Gene Therapy Applications: Preclinical Studies and Clinical Trials A Handbook of Gene and Cell Therapy - Chapter 9
13 Gene therapy clinical trials A Handbook of Gene and Cell Therapy - Chapter 9
14 Gene Therapy for Eye Conditions and Cardiovascular Diseases (CVDs) A Handbook of Gene and Cell Therapy - Chapter 9
15 Gene Therapy for Neurodegenerative Diseases A Handbook of Gene and Cell Therapy - Chapter 9
16 Final Exam

 

Course Notes/Textbooks

An Introduction to Human Molecular Genetics (2nd Edition), J.J. Pasternak, 2005

An Introduction to Molecular Medicine and Gene Therapy 1st Edition by Thomas F. Kresina 

A Handbook of Gene and Cell Therapy. Authors: Nobrega, Clevio, Mendonça, Liliana, Matos, Carlos. ISBN 978-3-030-41333-0. 2020.

Suggested Readings/Materials

Human Molecular Genetics (4th Edition), Tom Strachan & Andrew Read, 2010.

A Handbook of Gene and Cell Therapy. Authors: Nobrega, Clevio, Mendonça, Liliana, Matos, Carlos. ISBN 978-3-030-41333-0. 2020.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
10
Portfolio
Homework / Assignments
1
20
Presentation / Jury
1
20
Project
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
4
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
3
45
Field Work
0
Quizzes / Studio Critiques
1
4
4
Portfolio
0
Homework / Assignments
1
4
4
Presentation / Jury
1
6
6
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
50
50
    Total
187

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have adequate knowledge in Mathematics, Life Sciences and Bioengineering; to be able to use theoretical and applied information in these areas to model and solve Bioengineering problems.

2

To be able to use scientific methods to complete and apply information from uncertain, limited or incomplete data; to be able to combine and use information from related disciplines.

X
3

To be able to design and apply theoretical, experimental and model-based research; to be able to solve complex problems in such processes.

4

Being able to utilize Natural Sciences and Bioengineering principles to design systems, devices and processes.

X
5

To be able to follow and apply new developments and technologies in the field of Bioengineering.

X
6

To be able to work effectively in multi-disciplinary teams within the discipline of Bioengineering; to be able to exhibit individual work.

X
7

To be able to have the knowledge about the social, environmental, health, security and law implications of Bioengineering applications, to be able to have the knowledge to manage projects and business applications, and to be able to be aware of their limitations in professional life.

X
8

To be able to have the social, scientific and ethical values ​​in the stages of collection, interpretation, dissemination and application of data related to the field of Bioengineering.

9

To be able to prepare an original thesis/term project in accordance with the criteria related to the field of Bioengineering.

10

To be able to follow information about Bioengineering in a foreign language and to be able to participate in discussions in academic environments.

X
11

To be able to improve the acquired knowledge, skills and qualifications for social and universal purposes regarding the studied area.

12

To be able to recognize regional and global issues/problems, and to be able to develop solutions based on research and scientific evidence related to Bioengineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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