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 - Divided Values

Type II network, divided values. Interestingly most of the proteins in the first 100 positions in this table would occur in the divided ranks table between position 100 and 200, indicating a difference in emphasis between the two simulations but not in the overall function. The fully annotated table, include Ensembl gene identifiers and network values can be found in the supplementary data.


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 green Filtered Value Type Interaction Map Network Comparison Type red network_comparison
Results: HTML CSV LaTeX Showing element 651 to 700 of 38536 in total
Network Comparison Type  : Divided
description
Rank
green
Filtered
Value Type
Interaction Map
red
network_comparison
40s ribosomal protein s14 (pro2640). [swissprot;acc:p06366] 4717 209.433 1 Ranked Low confidence 208.268 1.00559
4747 70.0583 Rooted 68.8727 1.01721
40s ribosomal protein s15 (rig protein). [swissprot;acc:p11174] 222 23.5258 0 21.0302 1.11867
11013.2 Ranked High confidence 12183 1.10622
251 23.5833 Rooted 21.3142 1.10646
258 1337.54 Measured 1183.16 1.13048
270 3201.81 Squared 2569.37 1.24615
304 266.986 1 Ranked 242.339 1.1017
309 3771.54 0 Squared Low confidence 3227.64 1.16851
314 10922.5 Ranked 12145.3 1.11195
346 1327.26 Measured 1167.68 1.13666
376 45.5688 1 Rooted High confidence 50.2554 1.10285
1989 13523.5 Squared 12388.6 1.09161
2067 3411.18 Measured 3602.75 1.05616
2567 40220.1 Squared Low confidence 41752.3 1.0381
4250 209.342 Ranked 207.351 1.0096
4587 7576.71 Measured 7449.17 1.01712
4822 70.1036 Rooted 69.1027 1.01448
40s ribosomal protein s15a. [swissprot;acc:p39027] 292 266.414 Ranked High confidence 241.411 1.10357
366 45.7763 Rooted 50.5463 1.1042
1303 40292.9 Squared Low confidence 42102.8 1.04492
2008 3435.61 Measured High confidence 3637.47 1.05876
2015 13600.6 Squared 12467.2 1.09091
3989 209.395 Ranked Low confidence 206.934 1.01189
4697 7588.58 Measured 7480.2 1.01449
4864 70.1434 Rooted 69.2629 1.01271
40s ribosomal protein s16. [swissprot;acc:p17008] 391 263.62 Ranked High confidence 241.828 1.09011
534 46.8198 Rooted 50.8036 1.08509
1784 14564.4 Squared 13244.1 1.09969
2448 3611.05 Measured 3730.53 1.03309
2770 40856.6 Squared Low confidence 42362 1.03685
4134 7653.76 Measured 7496.15 1.02103
4676 70.3804 Rooted 69.0873 1.01872
4832 209.034 Ranked 208.276 1.00364
40s ribosomal protein s17. [swissprot;acc:p08708] 144 7.65588 0 Squared 12.5785 1.64299
151 10.7125 Rooted 9.16047 1.16943
156 13327.2 Ranked 15228.1 1.14263
755 146.011 Measured 147.767 1.01203
1630 200.265 1 Ranked 204.428 1.02079
1647 73.5316 Rooted 70.9771 1.03599
2178 43088.4 Squared 44779.1 1.03924
2603 8094.51 Measured 7859.39 1.02992
40s ribosomal protein s18 (ke-3) (ke3). [swissprot;acc:p25232] 387 264.11 Ranked High confidence 242.238 1.09029
531 46.6413 Rooted 50.6537 1.08603
798 39783.7 Squared Low confidence 41825.9 1.05133
1824 14424.1 High confidence 13145.4 1.09727
2309 211.63 Ranked Low confidence 207.747 1.01869
2437 3584.47 Measured High confidence 3708.67 1.03465
4873 7489.39 Low confidence 7428.65 1.00818
4963 69.3391 Rooted 68.9337 1.00588

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/