Table 1.
A Proteins identified by Spectrum Mill | |||
---|---|---|---|
|
Number of identified proteins |
||
Protein pre-fractionation | High confidencea | Low confidenceb | Total identified proteinsc |
1-D pre-fractionationd |
2354 |
1066 |
3420 |
2-D pre-fractionatione |
|
|
|
Fr. 1 (pH 3–4.6) |
1189 |
708 |
1897 |
Fr. 2 (pH 4.6-5.4) |
1753 |
827 |
2580 |
Fr. 3 (pH 5.4-6.2) |
1423 |
886 |
2309 |
Fr. 4 (pH6.2-7.0) |
2228 |
909 |
3137 |
Fr. 5 (pH 7.0-10.0) |
1699 |
841 |
2540 |
Total numberf |
8292 |
4171 |
12463 |
Total distinct proteinsg |
4322 |
1875 |
6197 |
Total distinct genesh |
|
|
2085 |
B Proteins identified by Mascot | |||
1-D pre-fractionationd |
543 |
261 |
804 |
2-D pre-fractionatione |
|
|
|
Fr. 1 (pH 3–4.6) |
268 |
123 |
391 |
Fr. 2 (pH 4.6-5.4) |
393 |
178 |
571 |
Fr. 3 (pH 5.4-6.2) |
370 |
139 |
509 |
Fr. 4 (pH6.2-7.0) |
562 |
171 |
733 |
Fr. 5 (pH 7.0-10.0) |
416 |
147 |
563 |
Total numberf |
2009 |
758 |
2767 |
Total distinct proteinsg |
1340 |
477 |
1817 |
Total distinct genesh | 1478 |
aThe number of identified proteins with two or more peptide matches counted by using the non-redundant dataset of identified proteins. bThe number of identified proteins with one peptide match counted by using non-redundant dataset of identified proteins. cThe sum of the number of identified proteins with high confidence and low confidence as defined above. dGlomerular proteins were directly separated into 15 fractions by one-dimensional (1-D) SDS-PAGE. eGlomerular proteins were separated into 5 fractions with different pI ranges by solution-phase IEF in the first dimension and each fraction was further separated into 15 fractions by 1-D SDS-PAGE in the second dimension. fThe sum of the numbers of proteins identified in each fraction of 2-D pre-fractionation with high confidence or low-confidence as defined above. gThe sum of identified proteins counted by using the non-redundant dataset created by merging all the identified proteins in fractions of 1-D and 2-D pre-fractionation. hTotal distinct proteins included proteins derived from the same genes. In order to identify total distinct genes, the same gene symbols dispersed in the dataset were processed in an Excel work sheet to merge into one gene symbol by using the “Remove Duplicate” command.