"Single cell approaches for personalized medicine" is a joint focus area of the Berlin Institute of Health (BIH), Charité - Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine with the aim to make highly innovative single-cell approaches clinically usable for effective translation.
Eligibility and requirements
Teams of up to 3 PIs from MDC, Charité and MDC are invited to apply for collaborative projects (MDC1+BIH or MDC1+Charité, MDC1+BIH+Charité) using human organoids or human samples, preferably collected in clinical studies. The number of applications per PI is limited to 1. Sequencing will be carried out by the MDC/BIH Genomics Technology Platform. Projects should be with a budget of up to 30,000 EUR and to be completed within the calendar year (samples need to be ready latest by 1.10.2024 to be process by Genomics platform). Only consumables are eligible for funding.
- Develop & apply single-cell approaches to clinical questions
- Advance spatial or multi-omic analysis of human samples
- Foster translational collaborations
Interested scientists can submit their proposal by sending the filled project template to Grietje Krabbe (firstname.lastname@example.org) until 7 January, 2024.
Applications require a well justified and realistic budget calculation, please provide approval of the proposed budget by the MDC/BIH Genomics Technology Platform. Valid ethical and legal documents relative to the research proposal need to be submitted before the project start by the applicant.
Eligible proposals will be evaluated in a single-stage process by an international reviewer board which will give recommendations for funding to theof the focus area.
Evaluation criteria include:
- Fit with the objectives of the Focus Area, e.g. the development or application of advanced single cell (multi)-omic or spatial analysis to address clinically relevant questions
- transformative and translational potential of the project
- scientific quality and impact
- feasibility (sample availability and quality, experimental design & modality, statistics, data analysis and management) and budget