aims experimental design, sample numbers, methods, time line, costs, etc.
Discussion with PI to discuss different strategies and methods for each specific project to maximize outcome of the study and also manage expectations. At this point, we can only give rough estimations for analysis times.
This discussion should happen before grant writing to allow realistic budgeting and timing.
cost recovery business plan
The quote will define project associated costs which we need to recover.
Prizes are adjusted yearly based on usage in the previous year. The facility does not generate profit.
Each quote is logged under a submission identifier (MSQxxxx). This number will be used during the whole project to identify samples, data, analyses, etc.
paperwork, sample scheduling
Samples can be submitted to any member of the lab. This should be coordinated with the point person, assigned during project discussion.
Samples will be prepared according the methods best suited to the project as discussed before.
The samples need to be accompanied by a submission form.
Samples will be queued up according to submission date.
The used MS instrument will be selected by the DPF team considering sample type, complexity, abundance, batch size etc. to maximize scientific output and to balance instrument usage.
We will schedule samples in an unbiased way for optimal usage of the available equipment
(peptide/protein ID, quantitation, PTM, etc)
Data analysis will be undertaken with software best suited to the specific project.
Data is analysed with previously discussed parameters. Besides data generation, this is a bottleneck and can take a while depending on the project complexity.
(publication together with collaborator, data reposition)
Secondary data analysis including biological context is done in coordination with the collaborator.