Table I. For each metal condition, protein quantification was database independent. Only proteins identified in all three databases were compared under each condition.
Micronutrient status | Number of significant changesa | Total number of proteins comparedb | Percentage of significant changes | Average % changec | |
---|---|---|---|---|---|
Metal | μm in medium | Au10.2 vs. FM3.1 | |||
Cu | 0 | 24 | 839 | 2.9 | 16 |
2 | 20 | 782 | 2.6 | 17 | |
Zn | 0 | 31 | 692 | 4.5 | 16 |
2.5 | 15 | 625 | 2.4 | 15 | |
Fe | 0.25 | 14 | 434 | 3.2 | 14 |
1 | 17 | 534 | 3.2 | 14 | |
20 | 21 | 553 | 3.8 | 14 | |
Mn | 0 | 2 | 418 | 0.5 | 14 |
0.05 | 8 | 404 | 2.0 | 14 | |
2 | 6 | 408 | 1.5 | 16 | |
Au10.2 vs. FM4 | |||||
Cu | 0 | 12 | 833 | 1.4 | 12 |
2 | 14 | 791 | 1.8 | 13 | |
Zn | 0 | 21 | 692 | 3.0 | 15 |
2.5 | 7 | 625 | 1.1 | 14 | |
Fe | 0.25 | 8 | 434 | 1.8 | 14 |
1 | 11 | 534 | 2.1 | 13 | |
20 | 31 | 553 | 5.6 | 18 | |
Mn | 0 | 4 | 418 | 0.96 | 16 |
0.05 | 11 | 404 | 2.72 | 15 | |
2 | 4 | 408 | 0.98 | 15 | |
FM3.1 vs. FM4 | |||||
Cu | 0 | 14 | 839 | 1.7 | 15 |
2 | 14 | 796 | 1.8 | 16 | |
Zn | 0 | 24 | 692 | 3.5 | 17 |
2.5 | 15 | 625 | 2.4 | 16 | |
Fe | 0.25 | 10 | 434 | 2.3 | 16 |
1 | 22 | 534 | 4.1 | 16 | |
20 | 29 | 553 | 5.2 | 19 | |
Mn | 0 | 5 | 418 | 1.2 | 18 |
0.05 | 10 | 404 | 2.5 | 17 | |
2 | 7 | 408 | 1.7 | 19 |
a Significance determined by Student's t-test with a 95% confidence interval.
b Proteins were selected for comparison only if identified using all three databases.
c Calculated as (Average abundanceDatabase1 − Average abundanceDatabase2)/(Average abundanceall values).