Access to the Proteomics Research Support
For optimal results, we would like to give advise and help with the study design already before you start a new project.
Submitting samples for proteomics analyses
Please contact the Proteomics Core Facility early in your study planning. Results depend on study design and sample quality.
Before sending samples, complete the submission form below (avoid Firefox). This ensures proper registration and optimal handling.
Standard Analysis
The Proteomics Core Facility provides sample preparation, mass spectrometry (MS) analysis, and a comprehensive list of identified and/or quantified proteins. We also assist with drafting the proteomics method section for manuscripts and can deposit raw data in public repositories upon request.
Users are responsible for supplying complete sample information and performing upstream steps such as cell culture, experimental treatments, and immunoprecipitation, as well as downstream interpreting the resulting data.
Additional Research Support
The Proteomics Core Facility can also be involved beyond our standard support if requested. The contribution may include study design, advising how to perform a study as well as assist the user in the interpretation of the results, and may then be considered as a substantial scientific and experimental contribution to a publication.
Acknowledging the Input of the Proteomics Core Facility
Please acknowledge the Proteomics Core Facility in all publications that include data generated by our platform. Proper acknowledgment is essential for maintaining a high-quality facility and supporting the professional development of our staff.
The Association of Biomolecular Resource Facilities (ABRF) provides guidelines for determining whether Core Facility members should be included in the acknowledgment section or as co-authors. We ask users to follow these recommendations and consider the scientific contributions of facility staff when publishing.
Proteomics Core Facility's overall aim is to improve the quality of the studies as well as the quality of the proteomic data and its interpretation. But also to decrease the time between generating and publishing data as well as to improve the number of customer projects that results in manuscripts.