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	network_comparison	Network Comparison Type	Filtered	Value Type	green	red	Interaction Map

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	Rank	network_comparison	Network Comparison Type	Filtered	Value Type	green	red	Interaction Map
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	18	1.32082	Divided	1	Ranked	245.247	185.678	High confidence
	37	2.79409		0	Measured	934.348	334.401
		10.2338			Squared	1034.13	101.05
	45	599.947	Subtracted		Measured	934.348	334.401
	53	1.5213	Divided		Rooted	18.0183	11.844
	54	59.569	Subtracted	1	Ranked	245.247	185.678
	60	1.6231	Divided		Measured	2765.82	4489.19
	64	1.35128			Rooted	47.2654	63.8686
	67	16.6032	Subtracted
	69	6.1743		0		18.0183	11.844
	131	1.31954	Divided		Measured	851.77	645.504	Low confidence
		933.08	Subtracted		Squared	1034.13	101.05	High confidence
	146	1.63527	Divided			1268.51	775.72	Low confidence
	164	1723.37	Subtracted	1	Measured	2765.82	4489.19	High confidence
	172	1364.8		0	Ranked	13895.8	15260.6
	242	1.09822	Divided
	245	1.31131		1	Squared	6768.05	8875.01
	273	206.266	Subtracted	0	Measured	851.77	645.504	Low confidence
	319	492.79			Squared	1268.51	775.72
	537	1.04801	Divided		Rooted	17.0804	16.298
	600	385	Subtracted		Ranked	13590.3	13205.3
	629	1.02915	Divided
	634	0.7824	Subtracted		Rooted	17.0804	16.298
	1119	1.04654	Divided	1	Squared	41688.5	43628.5
	1423	1940	Subtracted
	1962	2106.96				6768.05	8875.01	High confidence
	4130	1.01062	Divided		Ranked	201.5	199.383	Low confidence
	4141	2.117	Subtracted
	4909	46.92			Measured	7900.54	7853.62
	4914	1.00597	Divided
		1.00944			Rooted	72.6287	71.9496
	4919	0.6791	Subtracted
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	8544			Squared	39351.7	30807.7	High confidence
	295	1.27733	Divided
	310	1078.26	Subtracted		Measured	8630.06	7551.8
	509	1.14278	Divided
	610	4.7956	Subtracted		Rooted	79.1513	74.3557
	780	329.69			Measured	8585.64	8255.95	Low confidence
	805	1.0645	Divided		Rooted	79.1513	74.3557	High confidence
	885	1.03993			Measured	8585.64	8255.95	Low confidence
	980	2.8374	Subtracted		Rooted	76.3375	73.5001
	1038	1.03148	Divided		Ranked	181.041	186.741	High confidence
	1092	1.0386			Rooted	76.3375	73.5001	Low confidence
	1120	5.7	Subtracted		Ranked	181.041	186.741	High confidence
	1328	1.02218	Divided			194.038	198.342	Low confidence
	1408	4.304	Subtracted
	4514	881.7			Squared	45736	46617.7
	4562	1.01928	Divided
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	8557.4	Subtracted			39383.9	30826.5	High confidence
	294	1.2776	Divided

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.