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

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

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Showing element 801 to 850 of 38536 in total

Network Comparison Type  : Divided

description	Filtered	Value Type	Rank	network_comparison	Interaction Map	green	red
40s ribosomal protein s28. [swissprot;acc:p25112]	0	Measured	385	1.04615	High confidence	405.367	387.486
			550	1.05276	Low confidence	936.963	890.008
		Ranked	258	1.09459	High confidence	14193.6	12967.1
			612	1.03359	Low confidence	11459	11843.9
		Squared	304	1.19893	High confidence	879.603	1054.58
			790	1.00964	Low confidence	3503.57	3470.13
		Rooted	285	1.08467	High confidence	12.5026	13.5612
			468	1.06383	Low confidence	19.6324	18.4544
	1	Measured	700	1.11936	High confidence	8015.92	7161.14
			3584	1.0256	Low confidence	8409.22	8199.31
		Ranked	1982	1.00966	High confidence	198.427	200.343
			2356	1.01859	Low confidence	197.696	201.372
		Squared	352	1.24446	High confidence	38183.6	30682.9
			790	1.0517	Low confidence	45812.7	48181.1
		Rooted	1171	1.04745	High confidence	73.7627	70.4215
			2726	1.03296	Low confidence	74.9792	72.5868
40s ribosomal protein s29. [swissprot;acc:p30054]	0	Measured	297	1.10737	High confidence	1895.38	1711.6
			356	1.12795	Low confidence	2217.3	1965.77
		Ranked	225	1.10378	High confidence	9997.71	11035.3
			729	1.0145	Low confidence	10653.8	10808.3
		Squared	203	1.32724		9439.12	7111.83
			305	1.19472	High confidence	6326.82	5295.67
		Rooted	265	1.0985		28.6733	26.1023
			554	1.04577	Low confidence	28.6337	27.3804
	1	Measured	1756	1.067	High confidence	3357.6	3582.57
			4862	1.00887	Low confidence	7472.73	7407.06
		Ranked	277	1.10665	High confidence	267.642	241.849
			3809	1.01327	Low confidence	208.959	206.222
		Squared	1275	1.04506		38953.5	40708.8
			2128	1.08728	High confidence	13163.1	12106.4
		Rooted	320	1.11005		45.294	50.2784
			4922	1.00923	Low confidence	69.8785	69.2392
40s ribosomal protein s3. [swissprot;acc:p23396]		Measured	2235	1.04736	High confidence	3508.13	3674.29
			4486	1.01882	Low confidence	7635.68	7494.6
		Ranked	346	1.09729	High confidence	265.119	241.612
			4895	1.00219	Low confidence	207.531	207.078
		Squared	1980	1.0927	High confidence	14048	12856.2
			1988	1.04038	Low confidence	40447.2	42080.6
		Rooted	462	1.09498	High confidence	46.236	50.6274
			4654	1.01927	Low confidence	70.6474	69.3117
40s ribosomal protein s30. [swissprot;acc:q05472]		Measured	1145	1.08858	High confidence	6416.07	5893.97
			2921	1.02839	Low confidence	8127.82	7903.47
		Ranked	1081	1.03027	High confidence	216.875	223.44
			2714	1.01752	Low confidence	199.033	202.521
		Squared	1044	1.04748		43022.6	45065.2
			1195	1.13683	High confidence	31984.1	28134.5
		Rooted	1002	1.05438		64.6874	61.3513
			2433	1.03379	Low confidence	73.8632	71.4486
40s ribosomal protein s3a. [swissprot;acc:p49241]	0	Measured	439	1.08345		2069.56	1910.16
			447	1.01735	High confidence	2879.55	2929.51

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.