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	Filtered	Interaction Map	Value Type	Network Comparison Type	green	network_comparison	red

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	Rank	Filtered	Interaction Map	Value Type	Network Comparison Type	green	network_comparison	red
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	18	1	High confidence	Ranked	Divided	245.247	1.32082	185.678
	37	0		Measured		934.348	2.79409	334.401
				Squared		1034.13	10.2338	101.05
	45			Measured	Subtracted	934.348	599.947	334.401
	53			Rooted	Divided	18.0183	1.5213	11.844
	54	1		Ranked	Subtracted	245.247	59.569	185.678
	60			Measured	Divided	2765.82	1.6231	4489.19
	64			Rooted		47.2654	1.35128	63.8686
	67				Subtracted		16.6032
	69	0				18.0183	6.1743	11.844
	131			Squared		1034.13	933.08	101.05
			Low confidence	Measured	Divided	851.77	1.31954	645.504
	146			Squared		1268.51	1.63527	775.72
	164	1	High confidence	Measured	Subtracted	2765.82	1723.37	4489.19
	172	0		Ranked		13895.8	1364.8	15260.6
	242				Divided		1.09822
	245	1		Squared		6768.05	1.31131	8875.01
	273	0	Low confidence	Measured	Subtracted	851.77	206.266	645.504
	319			Squared		1268.51	492.79	775.72
	537			Rooted	Divided	17.0804	1.04801	16.298
	600			Ranked	Subtracted	13590.3	385	13205.3
	629				Divided		1.02915
	634			Rooted	Subtracted	17.0804	0.7824	16.298
	1119	1		Squared	Divided	41688.5	1.04654	43628.5
	1423				Subtracted		1940
	1962		High confidence			6768.05	2106.96	8875.01
	4130		Low confidence	Ranked	Divided	201.5	1.01062	199.383
	4141				Subtracted		2.117
	4909			Measured		7900.54	46.92	7853.62
	4914				Divided		1.00597
				Rooted		72.6287	1.00944	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]	274		High confidence	Squared		39351.7	8544	30807.7
	295				Divided		1.27733
	310			Measured	Subtracted	8630.06	1078.26	7551.8
	509				Divided		1.14278
	610			Rooted	Subtracted	79.1513	4.7956	74.3557
	780		Low confidence	Measured		8585.64	329.69	8255.95
	805		High confidence	Rooted	Divided	79.1513	1.0645	74.3557
	885		Low confidence	Measured		8585.64	1.03993	8255.95
	980			Rooted	Subtracted	76.3375	2.8374	73.5001
	1038		High confidence	Ranked	Divided	181.041	1.03148	186.741
	1092		Low confidence	Rooted		76.3375	1.0386	73.5001
	1120		High confidence	Ranked	Subtracted	181.041	5.7	186.741
	1328		Low confidence		Divided	194.038	1.02218	198.342
	1408				Subtracted		4.304
	4514			Squared		45736	881.7	46617.7
	4562				Divided		1.01928
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]	273		High confidence		Subtracted	39383.9	8557.4	30826.5
	294				Divided		1.2776

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.