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.

Navigation/Query Panel:
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	Filtered	Value Type	green	network_comparison	red	Interaction Map	Gene	Rank	Network Comparison Type

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	Filtered	Value Type	green	network_comparison	red	Interaction Map	Rank	Network Comparison Type
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	0	Measured	851.77	1.31954	645.504	Low confidence	131	Divided
				206.266			273	Subtracted
			934.348	2.79409	334.401	High confidence	37	Divided
				599.947			45	Subtracted
		Ranked	13590.3	1.02915	13205.3	Low confidence	629	Divided
				385			600	Subtracted
			13895.8	1.09822	15260.6	High confidence	242	Divided
				1364.8			172	Subtracted
		Squared	1034.13	10.2338	101.05		37	Divided
				933.08			131	Subtracted
			1268.51	1.63527	775.72	Low confidence	146	Divided
				492.79			319	Subtracted
		Rooted	17.0804	0.7824	16.298		634
				1.04801			537	Divided
			18.0183	1.5213	11.844	High confidence	53
				6.1743			69	Subtracted
	1	Measured	2765.82	1.6231	4489.19		60	Divided
				1723.37			164	Subtracted
			7900.54	1.00597	7853.62	Low confidence	4914	Divided
				46.92			4909	Subtracted
		Ranked	201.5	1.01062	199.383		4130	Divided
				2.117			4141	Subtracted
			245.247	1.32082	185.678	High confidence	18	Divided
				59.569			54	Subtracted
		Squared	6768.05	1.31131	8875.01		245	Divided
				2106.96			1962	Subtracted
			41688.5	1.04654	43628.5	Low confidence	1119	Divided
				1940			1423	Subtracted
		Rooted	47.2654	1.35128	63.8686	High confidence	64	Divided
				16.6032			67	Subtracted
			72.6287	0.6791	71.9496	Low confidence	4919
				1.00944			4914	Divided
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	8585.64	1.03993	8255.95		885
				329.69			780	Subtracted
			8630.06	1.14278	7551.8	High confidence	509	Divided
				1078.26			310	Subtracted
		Ranked	181.041	1.03148	186.741		1038	Divided
				5.7			1120	Subtracted
			194.038	1.02218	198.342	Low confidence	1328	Divided
				4.304			1408	Subtracted
		Squared	39351.7	1.27733	30807.7	High confidence	295	Divided
				8544			274	Subtracted
			45736	1.01928	46617.7	Low confidence	4562	Divided
				881.7			4514	Subtracted
		Rooted	76.3375	1.0386	73.5001		1092	Divided
				2.8374			980	Subtracted
			79.1513	1.0645	74.3557	High confidence	805	Divided
				4.7956			610	Subtracted
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	8587.03	1.04001	8256.68	Low confidence	880	Divided
				330.35			773	Subtracted

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.