Objective
"Imaging Mass Spectrometry is a rapidly developing technique that uses spatially resolved proteomic techniques to investigate a tissue’s biomolecular content. Imaging MS of pharmaceuticals has demonstrated that relative quantitation can be obtained if the MS response factors are known. However MS response factors for peptides and proteins are highly dependent on their exact nature. Despite it being acknowledged as the single biggest factor limiting the clinical application of the technique, to date it has remained an enigma how imaging MS analyses may be explicitly normalized to enable relative quantitation because it would require the relative response factors to be determined for every peptide/protein.
Here I will develop a methodology for the explicit normalization of every protein detected during imaging MS experiments. This will utilize the recently released SILAC mouse to create a reference standard in which all lysine residues are replaced with 13C6-lysine. Tryptic digestion of SILAC protein extract creates tryptic peptides containing a single 13C6-lysine, which can be used as a reference standard for the 12C6-lysine containing peptides created by on-tissue digestion of normal mouse tissue.
Ultrahigh mass resolution imaging MS will be used to ensure all tryptic peptides, and their 13C6-lysine reference standards, are resolved enabling the images of all tryptic peptides to be normalized using their own isotopically labelled analogues. The quantitative capabilities will be determined for every tryptic peptide ion detected from mouse brain tissue.
The capabilities of this ENIGMAS strategy (Explicitly Normalized ImaGing Mass Spectrometry) will be used to investigate the spatial and temporal evolution of the proteome perturbations that follow migraine. Multiple measurement repeats and multiple animals in each group will provide the first measure of statistical significance for imaging MS based molecular histology, a crucial step toward its clinical application."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2011-IEF
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
2333 ZA Leiden
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.