Figure 1.
Cellular location of proteins identified from GeLC-MS/MS analysis of human skin.
Locations of proteins identified in the GeLC-MS/MS analysis of the soluble and insoluble fractions annotated to the GOA human GO slim terms and the Generic human GO slim terms for cellular compartment, using GO Term Mapper (http://go.princeton.edu/cgi-bin/GOTermMapper). For comparison, the percentage proteins annotated to these terms in the annotated human proteome is also shown.
Figure 2.
Biological function of all proteins identified after mass spectrometry analysis of human skin.
Biological processes associated with proteins identified in human skin using GeLC-MS/MS and iTRAQ analyses. Proteins were annotated with the GOA human GO slim terms for biological process, using GO Term Mapper (http://go.princeton.edu/cgi-bin/GOTermMapper). For comparison, the percentage proteins annotated to these terms in the annotated human proteome is also shown.
Figure 3.
Plot of protein abundance versus abundance ranking.
Estimated copy numbers for identified proteins. The steep gradient gives confidence that the most significant members of the skin protein population have been identified. The most prevalent proteins were shown to be in the Keratin family, as expected.
Figure 4.
Estimated ratio of non-nucleophiles to nucleophiles with the identified skin proteins.
Sequences for proteins identified from the skin biopsy samples were scanned for nucleophilic residues, Cys, His, Lys, Tyr & Arg, and counts were adjusted for protein abundance, which was calculated using emPAI values [38]. Results showed the ratio of non-nucleophiles to nucleophiles to be ∼83:17
Figure 5.
Summary of all proteins, and false discovery rates, identified within each iTRAQ 4-plex experiment.
The number of proteins identified in skin samples from different volunteers following MASCOT searches of the NCBI non-redundant human database, including the number of proteins that also had quantitative data associated with each participant. The graph also indicates the number of proteins that yielded quantitative data and the false discovery rates for each experiment, as determined by searching the reverse NCBI non-redundant human database.