LMP330H1 – Genetic and Computational Modeling in Human Development and Disease

Course description

Enrolment is limited to students in the Pathobiology specialist program.

This course introduces the use and impact of genetic model systems and organisms in exploring aspects of human reproduction, development, aging and disease.

We will highlight ethical issues in animal research, genetic manipulation, and disease modeling.

This course also introduces the bioinformatics concepts and methods used in biological data analysis.

Course coordinators

Dr. David Irwin

Office address: 1 King’s College Circle, MSB Room 6211
david.irwin@utoronto.ca 

Dr. Karim Mekhail

Office address: 661 University Ave, MaRS Centre West Tower Room 1513 
karim.mekhail@utoronto.ca

Dr. Bo Wang

Office address: UHN, 190 Elizabeth St, 3rd floor 
bowang.wang@utoronto.ca

Teaching assistant

TBC

Term

Fall 2022

Class location and time

TBC

Tutorial location and time

TBC

Office hours

Contact TA or Course Coordinators

Course details

  • Hours: 24L/12T
  • Prerequisite information: Enrolment is limited to students in the Pathobiology specialist program
  • Prerequisite: LMP200H1, BIO260H1/HMB265H1
  • Exclusions: LMP408H1
  • Recommended preparation: None
  • Distribution requirements: Science
  • Breadth requirement: Living Things and Their Environment (4)          
  • Enrolment limits: 35 students

Student evaluation

TBC

See information on Academic Integrity

Schedule

Lecture topics are subject to change. We will list finalized lecture topics in the official syllabus

Date

Topic

Instructor

Lecture 1

Introduction to genetic and computational modeling in disease

 

Lecture 2

Model species used in biology

 

Lecture 3

Mouse modeling of human diseases

 

Lecture 4

Flies in neurodegeneration 

 

Lecture 5

Zebrafish in vascular development 

 

Lecture 6

Stem cell/iPS models for human development and disease

 

Lecture 7

Scientific debate of genetic model papers

 

Lecture 8

Biomedical databases

 

Lecture 9

Bioinformatic analysis of data from model species I

 

Lecture 10

Bioinformatic analysis of data from model species II 

 

Lecture 11

Student presentations

 

Recommended reading or text book

None.