Scientific

MK5 Microarray Data


Affected Genes - Ontology Breakdown - Gene Enrichment - Proteome Analysis

These are the micro-array results of a differential gene expression microarray experiments and the subsequent analysis steps performed on them. The up/down- regulation ratio was obtained by measuring WT cells against MK5 activated cells. See material and methods for technical information as well as the data usage policy.

MK5 Proteome Analysis

Table 3: Type II network, divided ranks. This table presents the output of the simulation of a type-II network in which we relied on the high confidence interactions and micro-array results. The output of the micro-array was then ranked and these ranks used as input into the network simulation. After performing two such simulations (one for the MK5 off and one for the MK5 on microarray output), we divided the ranks and sorted the results accordingly. The output of this technique is a collection of proteins that cluster naturally together.


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Click on the attribute name to hide/unhide it. The green arrows can be used to shift columns left/right. Exact word match is written as =..., regular expressions can be matched with ~.... To select all values larger or equal than use >.... This would be <... for values smaller or equal than. To select all values within a specific range use [...,...].
Gene description Network Comparison Type Rank red Interaction Map Value Type green network_comparison Filtered
Results: HTML CSV LaTeX Showing element 501 to 550 of 25824 in total
Interaction Map  : High confidence
Filtered  : 1
description
Network Comparison Type
Rank
red
Value Type
green
network_comparison
40s ribosomal protein s13. [swissprot;acc:q02546] Subtracted 936 21976 Squared 25607.9 3631.9
1677 5414.98 Measured 5818.7 403.72
1695 220.899 Ranked 223.813 2.914
2361 60.5137 Rooted 61.6019 1.0882
40s ribosomal protein s14 (pro2640). [swissprot;acc:p06366] Divided 386 242.238 Ranked 264.11 1.09029
530 50.6537 Rooted 46.6413 1.08603
1823 13145.4 Squared 14424.1 1.09727
2436 3708.67 Measured 3584.47 1.03465
Subtracted 323 242.238 Ranked 264.11 21.872
824 50.6537 Rooted 46.6413 4.0124
2418 13145.4 Squared 14424.1 1278.7
2520 3708.67 Measured 3584.47 124.2
40s ribosomal protein s15 (rig protein). [swissprot;acc:p11174] Divided 304 242.339 Ranked 266.986 1.1017
376 50.2554 Rooted 45.5688 1.10285
1989 12388.6 Squared 13523.5 1.09161
2067 3602.75 Measured 3411.18 1.05616
Subtracted 219 242.339 Ranked 266.986 24.647
651 50.2554 Rooted 45.5688 4.6866
2391 3602.75 Measured 3411.18 191.57
2497 12388.6 Squared 13523.5 1134.9
40s ribosomal protein s15a. [swissprot;acc:p39027] Divided 292 241.411 Ranked 266.414 1.10357
366 50.5463 Rooted 45.7763 1.1042
2008 3637.47 Measured 3435.61 1.05876
2015 12467.2 Squared 13600.6 1.09091
Subtracted 206 241.411 Ranked 266.414 25.003
615 50.5463 Rooted 45.7763 4.77
2368 3637.47 Measured 3435.61 201.86
2502 12467.2 Squared 13600.6 1133.4
40s ribosomal protein s16. [swissprot;acc:p17008] Divided 391 241.828 Ranked 263.62 1.09011
534 50.8036 Rooted 46.8198 1.08509
1784 13244.1 Squared 14564.4 1.09969
2448 3730.53 Measured 3611.05 1.03309
Subtracted 326 241.828 Ranked 263.62 21.792
830 50.8036 Rooted 46.8198 3.9838
2407 13244.1 Squared 14564.4 1320.3
2528 3730.53 Measured 3611.05 119.48
40s ribosomal protein s18 (ke-3) (ke3). [swissprot;acc:p25232] Divided 387 242.238 Ranked 264.11 1.09029
531 50.6537 Rooted 46.6413 1.08603
1824 13145.4 Squared 14424.1 1.09727
2437 3708.67 Measured 3584.47 1.03465
Subtracted 324 242.238 Ranked 264.11 21.872
825 50.6537 Rooted 46.6413 4.0124
2419 13145.4 Squared 14424.1 1278.7
2521 3708.67 Measured 3584.47 124.2
40s ribosomal protein s19. [swissprot;acc:p39019] Divided 771 55.6817 Rooted 59.3786 1.06639
807 4708.61 Measured 5226.71 1.11003
861 234.025 Ranked 224.958 1.04031
1129 18854.4 Squared 21540.4 1.14246
Subtracted 820 234.025 Ranked 224.958 9.067
907 55.6817 Rooted 59.3786 3.6969

Legend:
- Rank is the rank after comparing the two networks
- Gene is the ensembl human gene identifier measured by 1 or more probes on the microarray
- Value Type describes how the microarray measurement was processed. Ranked indicates that we sorted all measurements and use the rank as red and green value. Measured is the normal measurement. Squared and Rooted are the square and square root respecitcely. This might be valueable to compensate for non linear light distributions.
- Network Comparison Type describes whether we divided the red and green types or whether we sutractcted them
- Interaction Map specifies whether we used only the hig hconfidence protein-protein interactions or also included the low confidence interactions.
- Filtered specifies whether we only included the high confidence microarry measurements or not.

- http://analysis.yellowcouch.org/