Single Cell Technologies in Life Sciences

2019-2020

Course Objective

This course will provide the student with theoretical and practical
knowledge in traditional single cells technologies, such as cytometry
and microscopy, that will form the basis for cellular imaging during
student internships. Also, emerging methodologies, such as single-cell
sequencing and multidimensional data analysis will be covered.

Course Content

Life science research of individual cells is a rapidly developing
research area. Traditional single cell technologies, such as cytometry
and microscopy, are combined with the emerging field of single cell
genomics. These single cell technologies have important implications for
our understanding of cellular behavior, including development,
differentiation and cellular decision-making, because these processes
can now be studied at an unprecedented resolution, thereby shedding new
light on immunity and immune-related disorders, infectious diseases, and
cancer. Understanding the technology behind these new applications is
crucial to be able to comprehend, use and interpret the data.
This intensive theoretical and practical course will provide registered
participants in-depth knowledge for the utilization of advanced
cytometry and microscopic imaging techniques prior to their involvement
in research internships. The course is divided in two blocks, cytometry
and microscopy. In the cytometry block, students will learn the
principles of fluorescence cytometry analysis and sorting, imaging flow
cytometry, and mass cytometry. In addition, the students will attend a
demonstration session on cytometry and learn essential analysis data
methods for multicolor cytometry up to multidimensional data analysis
with the help of tutorials and work group sessions. This block will be
complemented with a lecture on the emerging field of single cell
genomics. The second block will focus on light microscopy on life and
fixed specimens, confocal laser scanning microscopy, electron
microscopy, and light sheet microscopy. Special attention will be given
to image analysis by providing a tutorial on Image J as well as other
commonly used software applications.

Teaching Methods

Lectures
Lab demonstration
Data analysis tutorials
Working groups
Independent study (approx. 64 hrs)

Method of Assessment

The course will be closed off with a written exam based on open
questions (about of the lectures and tutorials). This will determine 90%
of the final grade; the additional 10% will be determined by the
participation in the work groups. The course will be evaluated with a
grade. A minimum score of 5,50 for the written exam is required in order
to pass.

Literature

Literature on selected topics will be provided via Canvas.

Target Audience

MSc Biomedical Sciences – research specialization Immunology
Also available for:
- MSc Biomedical Sciences – research specializations
- MSc Biomolecular Sciences – Specialization Cell Biology
- MSc Oncology
- MSc Cardiovascular Research
- MSc Drug Discovery and Safety – Biomarkers and Clinical Chemical
Analysis
- MSc Medical Natural Sciences

Additional Information

Examiner: Juan J. Garcia Vallejo, MD, PhD, MBA
Teaching staff: Juan J. Garcia Vallejo, Marko Popovic, Niels Heemskerk,
Maarten Witte, Jasper Koning, and Katja Jordanova.
Facilitator in coordination: Karin Brouwer

Recommended background knowledge

Basics of fluorescence

General Information

Course Code AM_1224
Credits 3 EC
Period P3
Course Level 600
Language of Tuition English
Faculty Faculty of Science
Course Coordinator drs. K. Brouwer
Examiner J.J. Garcia Vallejo BSc
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Computer lab, Study Group, Practical
Target audiences

This course is also available as: