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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	green	red	Rank	Value Type	Interaction Map	network_comparison	Network Comparison Type	Filtered
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	Low confidence	1.04801	Divided	0
			634			0.7824	Subtracted
	18.0183	11.844	53		High confidence	1.5213	Divided
			69			6.1743	Subtracted
	47.2654	63.8686	64			1.35128	Divided	1
			67			16.6032	Subtracted
	72.6287	71.9496	4914		Low confidence	1.00944	Divided
			4919			0.6791	Subtracted
	201.5	199.383	4130	Ranked		1.01062	Divided
			4141			2.117	Subtracted
	245.247	185.678	18		High confidence	1.32082	Divided
			54			59.569	Subtracted
	851.77	645.504	131	Measured	Low confidence	1.31954	Divided	0
			273			206.266	Subtracted
	934.348	334.401	37		High confidence	2.79409	Divided
			45			599.947	Subtracted
	1034.13	101.05	37	Squared		10.2338	Divided
			131			933.08	Subtracted
	1268.51	775.72	146		Low confidence	1.63527	Divided
			319			492.79	Subtracted
	2765.82	4489.19	60	Measured	High confidence	1.6231	Divided	1
			164			1723.37	Subtracted
	6768.05	8875.01	245	Squared		1.31131	Divided
			1962			2106.96	Subtracted
	7900.54	7853.62	4909	Measured	Low confidence	46.92
			4914			1.00597	Divided
	13590.3	13205.3	600	Ranked		385	Subtracted	0
			629			1.02915	Divided
	13895.8	15260.6	172		High confidence	1364.8	Subtracted
			242			1.09822	Divided
	41688.5	43628.5	1119	Squared	Low confidence	1.04654		1
			1423			1940	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]	76.3375	73.5001	980	Rooted		2.8374
			1092			1.0386	Divided
	79.1513	74.3557	610		High confidence	4.7956	Subtracted
			805			1.0645	Divided
	181.041	186.741	1038	Ranked		1.03148
			1120			5.7	Subtracted
	194.038	198.342	1328		Low confidence	1.02218	Divided
			1408			4.304	Subtracted
	8585.64	8255.95	780	Measured		329.69
			885			1.03993	Divided
	8630.06	7551.8	310		High confidence	1078.26	Subtracted
			509			1.14278	Divided
	39351.7	30807.7	274	Squared		8544	Subtracted
			295			1.27733	Divided
	45736	46617.7	4514		Low confidence	881.7	Subtracted
			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]	76.3467	73.5068	977	Rooted		2.8399	Subtracted
			1084			1.03863	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.