Figure 3: Diversity of Propionibacterium freudenreichii surface proteome and the distribution of identified surface proteins into in silico predicted localisations. | Scientific Reports

Figure 3: Diversity of Propionibacterium freudenreichii surface proteome and the distribution of identified surface proteins into in silico predicted localisations.

From: Identification of proteins involved in the anti-inflammatory properties of Propionibacterium freudenreichii by means of a multi-strain study

Figure 3

(A) Guanidine hydrochloride-extracted proteins, analysed by SDS PAGE, evidenced variability among the Pf strains. (B,C). An inventory of the surface proteins of 12 Pf strains was further made by combining the three surface proteomic methods and produced a total of 509 proteomic identifications representing 174 different proteins. (B) Global distribution of in silico predicted localisations of the 174 different proteins identified. (C) Number and predicted localisations of the proteins identified using each analytical method: shaving, cyDye surface labelling and guanidine hydrochloride extraction (Le Maréchal et al.19). The localisations were predicted by SurfG + software, as described by Barinov et al.20 and the categories were as follows: (C) cytoplasmic protein, PSE: Protein surface exposed, M: membrane protein, SEC: secreted protein.

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