Immunophenotyping: Generation and Analysis of Immunological Datasets

Across all biological sciences, technological advances result in more ambitious projects and larger datasets. This course will demonstrate how to take common immunological techniques to the next level by combining them with semi-automated and automated analysis methods and using appropriate statistical analysis pipelines. The course is suited for PhD students and postdocs who would like to get more out of the experiments they perform and make sure their data analysis has a sound basis.

This new, practical, laboratory-based course will be conducted in
collaboration with the Wellcome
Trust Sanger Institute Mouse Genetics Project and the Infection and
Immunity Immunophenotyping (3i) consortium.

Participants will receive hands-on training in how to set-up an
immunological phenotyping experiment and a number of immunological
techniques suitable for large-scale phenotyping. Using the data generated
during the course, we will explore manual, semi-automated and automated
analysis approaches and relevant statistics for different data sets and
discuss benefits and challenges. All experiments will be conducted on
samples from a knockout strain which the participants will identify at
the end of the course.

After having attended this course, the participants will be able to apply the immunological techniques used during the course in their own research and will be able to develop better experimental, analytical and statistical approaches to basic research projects and high-throughput projects alike.

The programme will include lecture and practical
laboratory/computer-based sessions covering the following topics:

Immunological techniques:

• Detection of antinuclear antibodies in serum
• CD8 degranulation assay
• 12-colour panel design for various immune cell populations
• Flow-cytometric analysis of blood, spleen, lymph nodes and bone marrow
• Microscopic analysis of the immune compartment in mouse skin

Analysis techniques:

• Analysis of 2D microscopic images with a macro
• Analysis of 3D microscopy data with a Definiens Developer algorithm
• Analysis of multidimensional flow data with automated and semi-automated approaches
• Use of appropriate statistical techniques to analyse the generated datasets

Course instructors
Adrian Hayday King’s College London, UK
Simon Clare Wellcome Trust Sanger Institute, UK
Lucie Abeler-Dörner King’s College London, UK

Confirmed guest speakers
William Jacobs Jr. Albert Einstein College of Medicine, USA
Richard Grencis University of Manchester, UK
Gillian Griffiths University of Cambridge, UK
Ryan Brinkman BC Cancer Agency, Canada

Prerequisites
The course is aimed at PhD students, postdocs or clinicians conducting
relevant research.

Cost
The
course is subsidised by the Wellcome Genome Campus Advanced Courses
and Scientific Conferences Programme. This is a residential
course and
there is a fee of £745 towards board and lodging for non-commercial
applicants. Please contact us for the commercial fee.

Applications
Applications for this course can now be completed online. If you have any
problems with the online application process, please contact us.

Please note: Applications
must be supported by a
recommendation from a scientific or clinical sponsor (e.g. supervisor or
head of department). A request for a supporting
statement will be sent
to your nominated sponsor automatically during
the application process.
Applicants must ensure that their sponsor
provides this supporting
statement by the application deadline. Applications without a supporting
statement cannot be considered.

Deadlines
Deadline for Applications: Closed

Bursaries
Advanced Courses are subsidised for non-commercial applicants from
anywhere in the world. Additional limited bursaries are
available (up to
50% of the course fee) and are awarded on merit. If you would like to
apply for a
bursary, please complete the bursary section of the online
application
form.

Please note that both the applicant
and sponsor are required to provide
a justification for the
bursary as part of the application.

Bursary terms and conditions

UK Courses (held at the Wellcome Genome Campus, Hinxton,
Cambridge)
A
limited number of bursaries are available for each course. These are
awarded by the selection committee according to merit. The bursary
covers a maximum of 50% of the course fee, though in exceptional
circumstances an application for the total course fee may be considered.
Where there are many bursary applications, the selection committee may
issue smaller amounts. We cannot assist with travel costs to attend UK
courses.

Overseas Courses (held outside of the UK)
A
limited number of bursaries are available for each course. These are
awarded on merit to cover travel, accommodation and sustenance. The
maximum award for travel (economy class) will be £750.

Bursaries can be applied for as part of the course application form.
Applicants
will be notified of a bursary award along with their place on
the
course, usually within one month of the application deadline. The
decision of the selection committee is
final.