MK5 Microarray Data

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.

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Gene	description	Rank	Value Type	Interaction Map	Filtered	Network Comparison Type	red	network_comparison	green

Results: HTML CSV LaTeX

Showing element 551 to 600 of 16578 in total

Value Type  : Measured
Filtered  : 1

description	Rank	Interaction Map	Network Comparison Type	red	network_comparison	green
60s ribosomal protein l13a (23 kda highly basic protein). [swissprot;acc:p40429]	2449	High confidence	Divided	3730.74	1.03303	3611.45
	2529		Subtracted		119.29
	4771	Low confidence	Divided	7684.73	1.0125	7780.81
	4777		Subtracted		96.08
60s ribosomal protein l14 (cag-isl 7). [swissprot;acc:p50914]	2074	High confidence	Divided	3614.91	1.05579	3423.89
	2392		Subtracted		191.02
	4217	Low confidence	Divided	8183.95	1.02016	8348.94
	4312		Subtracted		164.99
60s ribosomal protein l15. [swissprot;acc:p39030]	2530	High confidence		4888.72	117.38	5006.1
	2532		Divided		1.02401
	3472	Low confidence		7801.03	1.02615	8005.05
	3543		Subtracted		204.02
60s ribosomal protein l17 (l23). [swissprot;acc:p18621]	1894	High confidence	Divided	3598.08	1.06308	3384.59
	2362		Subtracted		213.49
	4719	Low confidence	Divided	7511.52	1.01373	7614.69
	4759		Subtracted		103.17
60s ribosomal protein l18. [swissprot;acc:q07020]	2694	High confidence	Divided	4113.79	1.00446	4095.53
	2734		Subtracted		18.26
	3503	Low confidence	Divided	7757.29	1.026	7958.97
	3586		Subtracted		201.68
60s ribosomal protein l18a. [swissprot;acc:q02543]	806	High confidence	Divided	4708.61	1.11003	5226.71
	1083	Low confidence		7735.75	1.03727	8024.04
	1098	High confidence	Subtracted	4708.61	518.1	5226.71
	1192	Low confidence		7735.75	288.29	8024.04
60s ribosomal protein l19. [swissprot;acc:p14118]	2136	High confidence	Divided	3687.49	1.05381	3499.2
	2401		Subtracted		188.29
	4481	Low confidence	Divided	7474.75	1.01893	7616.28
	4545		Subtracted		141.53
60s ribosomal protein l21. [swissprot;acc:p46778]	343			8452.93	458.06	8910.99
	367		Divided		1.05419
	1510	High confidence		5546.11	1.07426	5957.99
	1663		Subtracted		411.88
60s ribosomal protein l22 (epstein-barr virus small rna associated protein) (eber associated protein) (eap) (heparin binding protein hbp15). [swissprot;acc:p35268]	2662			7780.98	39.84	7741.14
	2673		Divided		1.00515
	3186	Low confidence		7800.18	1.0273	8013.09
	3332		Subtracted		212.91
60s ribosomal protein l23 (l17). [swissprot;acc:p23131]	2115	High confidence	Divided	3672.49	1.0546	3482.34
	2397		Subtracted		190.15
	4239	Low confidence	Divided	7562.4	1.01991	7712.96
	4459		Subtracted		150.56
60s ribosomal protein l23a. [swissprot;acc:p29316]	2175	High confidence	Divided	3642.13	1.05146	3463.88
	2421		Subtracted		178.25
	4610	Low confidence	Divided	7434.61	1.01653	7557.49
	4665		Subtracted		122.88
60s ribosomal protein l24 (l30). [swissprot;acc:p38663]	510	High confidence		7087.23	824.02	7911.25
	727		Divided		1.11627
	2829	Low confidence		7874.91	1.02894	8102.83
	2876		Subtracted		227.92
60s ribosomal protein l26. [swissprot;acc:q02877]	2051	High confidence	Divided	3601.97	1.05646	3409.48
	2388		Subtracted		192.49

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.