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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Click on the attribute name to hide/unhide it. The green arrows can be used to shift columns left/right. Exact word match is written as =..., regular expressions can be matched with ~.... To select all values larger or equal than use >.... This would be <... for values smaller or equal than. To select all values within a specific range use [...,...].

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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	green	red	Rank	Value Type	Network Comparison Type	Interaction Map	Filtered	network_comparison
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	17.0804	16.298	537	Rooted	Divided	Low confidence	0	1.04801
			634		Subtracted			0.7824
	18.0183	11.844	53		Divided	High confidence		1.5213
			69		Subtracted			6.1743
	47.2654	63.8686	64		Divided		1	1.35128
			67		Subtracted			16.6032
	72.6287	71.9496	4914		Divided	Low confidence		1.00944
			4919		Subtracted			0.6791
	201.5	199.383	4130	Ranked	Divided			1.01062
			4141		Subtracted			2.117
	245.247	185.678	18		Divided	High confidence		1.32082
			54		Subtracted			59.569
	851.77	645.504	131	Measured	Divided	Low confidence	0	1.31954
			273		Subtracted			206.266
	934.348	334.401	37		Divided	High confidence		2.79409
			45		Subtracted			599.947
	1034.13	101.05	37	Squared	Divided			10.2338
			131		Subtracted			933.08
	1268.51	775.72	146		Divided	Low confidence		1.63527
			319		Subtracted			492.79
	2765.82	4489.19	60	Measured	Divided	High confidence	1	1.6231
			164		Subtracted			1723.37
	6768.05	8875.01	245	Squared	Divided			1.31131
			1962		Subtracted			2106.96
	7900.54	7853.62	4909	Measured		Low confidence		46.92
			4914		Divided			1.00597
	13590.3	13205.3	600	Ranked	Subtracted		0	385
			629		Divided			1.02915
	13895.8	15260.6	172		Subtracted	High confidence		1364.8
			242		Divided			1.09822
	41688.5	43628.5	1119	Squared		Low confidence	1	1.04654
			1423		Subtracted			1940
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]	76.3375	73.5001	980	Rooted				2.8374
			1092		Divided			1.0386
	79.1513	74.3557	610		Subtracted	High confidence		4.7956
			805		Divided			1.0645
	181.041	186.741	1038	Ranked				1.03148
			1120		Subtracted			5.7
	194.038	198.342	1328		Divided	Low confidence		1.02218
			1408		Subtracted			4.304
	8585.64	8255.95	780	Measured				329.69
			885		Divided			1.03993
	8630.06	7551.8	310		Subtracted	High confidence		1078.26
			509		Divided			1.14278
	39351.7	30807.7	274	Squared	Subtracted			8544
			295		Divided			1.27733
	45736	46617.7	4514		Subtracted	Low confidence		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]	76.3467	73.5068	977	Rooted	Subtracted			2.8399
			1084		Divided			1.03863

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.