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Fig. 2 | Clinical Proteomics

Fig. 2

From: Cardiovascular proteomics in the era of big data: experimental and computational advances

Fig. 2

Analytical and computational overview in protein identification. 1 Cardiac samples are processed to extract the proteomes or subproteomes of interest, which may then be proteolyzed to obtain peptide digests. 2 The resulting peptides are desalted and subjected to LC–MS/MS analysis to acquire MS1 and MS2 spectra. 3 The peptide sequences that are present in the MS dataset can be identified using a database search approach, which uses a sequence database (e.g., UniProt) to generate theoretical peptide sequence and predict their fragmentation patterns in silico, then automatically find the best-match theoretical spectra to the experimental spectra for protein identification. Alternatively, the proteins can be identified using a spectral library search. The resulting protein datasets can be further analyzed to extract other biomedically meaningful information (see Fig. 4)

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