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The magic building blocks that Airbnb adds are tools for matching, spot pricing, and analyzing the data it collects on all participants in its ecosystem.
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Matching spots were rechecked manually.
Spots on 2D western blots were overlayed with the reference map, and matching spots were excised for protein identification by mass spectrometry.
The high number of antigen spots allows to identify patterns that can be compared to the patterns obtained by protein staining and used to define the coordinates of the matching spots.
Manual verification of matching spots was applied.
At 1 °C, but not at 28 °C and 40 °C, the matching spots were mainly represented by proteins with high molecular weight.
The analysis of groups of matching spots allowed the evaluation of changes and similarities in protein expression patterns.
Protein intensities of matching spots were statistically analysed by Student's T-test to identify significant differences at P ≤ 0.05.
The gel patterns from different gels were automatically matched, with some additional manual editing, and the quantities of matching spots in different gels were compared.
This allows for 100% matching spots and, in turn, complete expression profiles for reliable statistical analysis (Voigt et al. 2006; Höper et al. 2006).
At 1 °C, 41 matching spots were observed as common between F. endolithicus and E. jeanselmei and 62 were common with C. perforans.
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