About the research group
The Type 1 Diabetes Biology department is headed by Professor Flemming Pociot and currently consists of 12 researchers and students with diverse backgrounds including medical doctors, biologists, biochemists and computational biologists working on translational and clinical aspects of Type 1 Diabetes.
The goals of Type 1 Diabetes Biology are to:
- Understand the pathogenesis of T1D at the molecular and cellular levels
- Perform top-level translational T1D research
- Develop biomarkers for disease prediction, progression and therapeutic response
- Provide the scientific foundation for development of new anti-diabetic treatments
At SDCC we offer you a dynamic research environment, top-class laboratory and office facilities. You will be part of the T1D Biology department and participate in weekly group and project meetings which include project presentations.
In T1D the insulin-producing beta cells in the pancreas are destroyed by the immune system. The disease involves infiltration of the pancreas with immune cells which kill the beta cells via secretion of pro-inflammatory cytokines and direct cell-cell mediated mechanisms that induce apoptosis. There is a strong genetic factor in T1D and previous research showed that dysregulation of specific risk-conferring genes expressed in the beta cells contributes to T1D by sensitizing the cells to undergo apoptosis.
In our search for genes regulating beta cell function and apoptosis, we have recently identified a gene of particular interest. The project will involve cell and tissue experiments to examine the expression of the gene under relevant conditions. The expression of the gene will be knocked out in beta cell model systems by various techniques to interfere with its function with focus on the apoptosis-regulatory potential.
For more information, contact senior researcher Joachim Størling, who will be your supervisor at SDCC: firstname.lastname@example.org , +45 30913399
The main aim of the project is to investigate the role of non-coding gene variants associated with T1D. Our in-house bioinformatics pipelines and publically available datasets will be used to prioritize and identify potential regulatory variants. This is purely a bioinformatics project and some experience in computational science is compulsory.
For more information, contact postdoc Simranjeet Kaur, who will be your supervisor at SDCC: email@example.com, +45 81915478
Methods – what you can learn
- Cell culturing
- Cell transfection
- Measurement of apoptosis
- Measurement of insulin
- Real-time qPCR
- Western blotting
- Motivational letter
- Grade transcript
Anticipated project start: Between April and September 2018.
Send your application by e-mail to:
Joachim Størling (project 1)
Simranjeet Kaur (project 2).