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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

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