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.


Navigation/Query Panel:
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 Rank Network Comparison Type Value Type Interaction Map green red Filtered network_comparison
Results: HTML CSV LaTeX Showing element 501 to 550 of 25824 in total
Interaction Map  : High confidence
Filtered  : 1
description
Rank
Network Comparison Type
Value Type
green
red
network_comparison
40s ribosomal protein s13. [swissprot;acc:q02546] 1695 Subtracted Ranked 223.813 220.899 2.914
1722 Divided 1.01319
2348 Rooted 61.6019 60.5137 1.01798
2361 Subtracted 1.0882
40s ribosomal protein s14 (pro2640). [swissprot;acc:p06366] 323 Ranked 264.11 242.238 21.872
386 Divided 1.09029
530 Rooted 46.6413 50.6537 1.08603
824 Subtracted 4.0124
1823 Divided Squared 14424.1 13145.4 1.09727
2418 Subtracted 1278.7
2436 Divided Measured 3584.47 3708.67 1.03465
2520 Subtracted 124.2
40s ribosomal protein s15 (rig protein). [swissprot;acc:p11174] 219 Ranked 266.986 242.339 24.647
304 Divided 1.1017
376 Rooted 45.5688 50.2554 1.10285
651 Subtracted 4.6866
1989 Divided Squared 13523.5 12388.6 1.09161
2067 Measured 3411.18 3602.75 1.05616
2391 Subtracted 191.57
2497 Squared 13523.5 12388.6 1134.9
40s ribosomal protein s15a. [swissprot;acc:p39027] 206 Ranked 266.414 241.411 25.003
292 Divided 1.10357
366 Rooted 45.7763 50.5463 1.1042
615 Subtracted 4.77
2008 Divided Measured 3435.61 3637.47 1.05876
2015 Squared 13600.6 12467.2 1.09091
2368 Subtracted Measured 3435.61 3637.47 201.86
2502 Squared 13600.6 12467.2 1133.4
40s ribosomal protein s16. [swissprot;acc:p17008] 326 Ranked 263.62 241.828 21.792
391 Divided 1.09011
534 Rooted 46.8198 50.8036 1.08509
830 Subtracted 3.9838
1784 Divided Squared 14564.4 13244.1 1.09969
2407 Subtracted 1320.3
2448 Divided Measured 3611.05 3730.53 1.03309
2528 Subtracted 119.48
40s ribosomal protein s18 (ke-3) (ke3). [swissprot;acc:p25232] 324 Ranked 264.11 242.238 21.872
387 Divided 1.09029
531 Rooted 46.6413 50.6537 1.08603
825 Subtracted 4.0124
1824 Divided Squared 14424.1 13145.4 1.09727
2419 Subtracted 1278.7
2437 Divided Measured 3584.47 3708.67 1.03465
2521 Subtracted 124.2
40s ribosomal protein s19. [swissprot;acc:p39019] 771 Divided Rooted 59.3786 55.6817 1.06639
807 Measured 5226.71 4708.61 1.11003
820 Subtracted Ranked 224.958 234.025 9.067
861 Divided 1.04031
907 Subtracted Rooted 59.3786 55.6817 3.6969
1099 Measured 5226.71 4708.61 518.1

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/