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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	Value Type	Rank	Network Comparison Type	Filtered	Interaction Map	network_comparison	green	red
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	Measured	37	Divided	0	High confidence	2.79409	934.348	334.401
		45	Subtracted			599.947
		60	Divided	1		1.6231	2765.82	4489.19
		131		0	Low confidence	1.31954	851.77	645.504
		164	Subtracted	1	High confidence	1723.37	2765.82	4489.19
		273		0	Low confidence	206.266	851.77	645.504
		4909		1		46.92	7900.54	7853.62
		4914	Divided			1.00597
	Ranked	18			High confidence	1.32082	245.247	185.678
		54	Subtracted			59.569
		172		0		1364.8	13895.8	15260.6
		242	Divided			1.09822
		600	Subtracted		Low confidence	385	13590.3	13205.3
		629	Divided			1.02915
		4130		1		1.01062	201.5	199.383
		4141	Subtracted			2.117
	Squared	37	Divided	0	High confidence	10.2338	1034.13	101.05
		131	Subtracted			933.08
		146	Divided		Low confidence	1.63527	1268.51	775.72
		245		1	High confidence	1.31131	6768.05	8875.01
		319	Subtracted	0	Low confidence	492.79	1268.51	775.72
		1119	Divided	1		1.04654	41688.5	43628.5
		1423	Subtracted			1940
		1962			High confidence	2106.96	6768.05	8875.01
	Rooted	53	Divided	0		1.5213	18.0183	11.844
		64		1		1.35128	47.2654	63.8686
		67	Subtracted			16.6032
		69		0		6.1743	18.0183	11.844
		537	Divided		Low confidence	1.04801	17.0804	16.298
		634	Subtracted			0.7824
		4914	Divided	1		1.00944	72.6287	71.9496
		4919	Subtracted			0.6791
1-acyl-sn-glycerol-3-phosphate acyltransferase alpha (ec 2.3.1.51) (1- agp acyltransferase 1) (1-agpat 1) (lysophosphatidic acid acyltransferase-alpha) (lpaat-alpha) (1-acylglycerol-3-phosphate o- acyltransferase 1) (g15 protein). [swissprot;acc:q99943]	Measured	310			High confidence	1078.26	8630.06	7551.8
		509	Divided			1.14278
		780	Subtracted		Low confidence	329.69	8585.64	8255.95
		885	Divided			1.03993
	Ranked	1038			High confidence	1.03148	181.041	186.741
		1120	Subtracted			5.7
		1328	Divided		Low confidence	1.02218	194.038	198.342
		1408	Subtracted			4.304
	Squared	274			High confidence	8544	39351.7	30807.7
		295	Divided			1.27733
		4514	Subtracted		Low confidence	881.7	45736	46617.7
		4562	Divided			1.01928
	Rooted	610	Subtracted		High confidence	4.7956	79.1513	74.3557
		805	Divided			1.0645
		980	Subtracted		Low confidence	2.8374	76.3375	73.5001
		1092	Divided			1.0386
1-acyl-sn-glycerol-3-phosphate acyltransferase beta (ec 2.3.1.51) (1- agp acyltransferase 2) (1-agpat 2) (lysophosphatidic acid acyltransferase-beta) (lpaat-beta) (1-acylglycerol-3-phosphate o- acyltransferase 2). [swissprot;acc:o15120]	Measured	307	Subtracted		High confidence	1080.12	8636.87	7556.75
		508	Divided			1.14293

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.