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Skeletal muscle metabolism and growth - insight into models and mechanisms
Provider: Faculty of Science

Activity no.: 5499-23-06-31 
Enrollment deadline: 10/06/2023
PlaceDepartment of Nutrition Exercise and Sports
Date and time25.06.2023, at: 08:00 - 29.06.2023, at: 16:00
Regular seats31
ECTS credits5.00
Contact personKate Wickham    E-mail address: kawi@nexs.ku.dk
Enrolment Handling/Course OrganiserJørgen Wojtaszewski    E-mail address: jw@nexs.ku.dk
Exam requirementsThere is no exam but full participation and student presentations are required to pass the course.
Course workload
Course workload categoryHours
Preparation / Self-Study86.00


Aim and content
The purpose of this 5-day course is to present and discuss the most recent advances within skeletal muscle metabolism, growth and signaling. Central themes include energy metabolism, insulin signaling, hypertrophy/atrophy, and mitochondrial function. The course will include a strong focus on scientific methods and models used to investigate and evaluate skeletal muscle biology spanning from engineered in vitro muscle cell cultures to in vivo investigations of human skeletal muscle. The course will include several prominent international lectures as well as several Danish lectures each well-renowned within their field of research.

The aims:
1) Provide the participants with an overview of the state-of-the-art knowledge within the content covered including an overview of state-of-the-art methods and models to investigate muscle biology
2) To provide a forum for exchange and cross-germination of ideas and concepts between the fields of muscle growth and muscle metabolism.

The course will be a combination of lectures and discussions as well model development, data treatment and data presentation. An important part of the course is presentations and discussions of the PhD projects of the participating PhD students. There will be a strong emphasis on interactions between faculty and students as well as between students to promote scientific discussions and networking.

Learning outcome
The students are expected to get a solid and comprehensive evidence-based insight into:
• The latest advances in muscle growth and metabolism in health and disease.
• A broad range of methods and models for the study of skeletal muscle biology with a particular focus on muscle metabolism, growth and signaling.

Additionally, the students are expected to improve their ability to develop research ideas and test these in relevant methods/models. Finally, the students are expected to improve their ability to critically evaluate scientific work as well as present and discuss science.

Literature will consist of scientific articles provided as electronic links to the course participants in due time before course start.

Confirmed Speakers
1) Associate Professor Jean Farup (Aarhus University, Denmark)
2) Associate Professor Marta Murgia (University of Padova, Italy)
3) Professor Amira Klip (University of Toronto, Canada)
4) Associate Professor Bert Blaauw (University of Padova, Italy)
5) Associate Professor Abigail Mackey (University of Copenhagen)
6) Professor David James (Sydney University, Australia)
7) Professor Zhen Yan (Fralin Biomedical Research Institute, US)
8) Associate Professor Thomas E. Jensen (University of Copenhagen)
9) Professor Jørgen Wojtaszewski (University of Copenhagen)
10) Professor Ylva Hellsten (University of Copenhagen)
11) Professor Erik Richter (University of Copenhagen)

The course covers five full days. The students are expected to have read the articles prior to and in preparation for the lectures. The students are also expected to prepare for presentations and discussions. In total, the expected workload for the students amounts to 125 hrs of work. The participants are expected to spent 86 hours into self-study for the course. There is no exam but full participation and student presentations are required to pass the course.

Additional Information:

All applicants will be contacted by Kate Aiko Wickham (kawi@nexs.ku.dk) via email. Before we can approve your application, we will require additional information from the applicant including (max 1 page, bullet points are fine):

• Name of your university, department, and country
• Title and abstract of your PhD project (this can be a tentative title)
• Name and title of your main PhD supervisor
• Your motivation for participating in this course
• The course is designed for PhD students. If you are not a PhD student, be sure to outline in what ways this course would benefit you. Please note, precedence will be given to PhD students.

This information is due May 22, 2023 at 11:55 CEST.

Course Requirements:

Course fee: 350 EUR

If you are accepted in the PhD course, there is a mandatory course fee of 350 EUR. Accepted applicants will be contacted by Kate Aiko Wickham and will be provided with payment details. The course fee is used to pay for your accommodations at the Comwell Køge Strand and food during the PhD course.

Abstract Submission:

Accepted applicants are required to submit an abstract for a poster presentation, which will occur during the PhD course.

• Maximum length of 300 words
• Authors, affiliations, abstract title, and funding do not count towards the word limit
• References are not required in the abstract
• Please include a brief statement regarding statistical methods

Abstracts are due June 1, 2023 at 11:55 CEST and should be submitted to Kate Aiko Wickham by email (kawi@nexs.ku.dk).

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