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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

description	Filtered	Value Type	Rank	Network Comparison Type	green	network_comparison	Interaction Map	red
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	0	Measured	37	Divided	934.348	2.79409	High confidence	334.401
			45	Subtracted		599.947
			131	Divided	851.77	1.31954	Low confidence	645.504
			273	Subtracted		206.266
		Ranked	172		13895.8	1364.8	High confidence	15260.6
			242	Divided		1.09822
			600	Subtracted	13590.3	385	Low confidence	13205.3
			629	Divided		1.02915
		Squared	37		1034.13	10.2338	High confidence	101.05
			131	Subtracted		933.08
			146	Divided	1268.51	1.63527	Low confidence	775.72
			319	Subtracted		492.79
		Rooted	53	Divided	18.0183	1.5213	High confidence	11.844
			69	Subtracted		6.1743
			537	Divided	17.0804	1.04801	Low confidence	16.298
			634	Subtracted		0.7824
	1	Measured	60	Divided	2765.82	1.6231	High confidence	4489.19
			164	Subtracted		1723.37
			4909		7900.54	46.92	Low confidence	7853.62
			4914	Divided		1.00597
		Ranked	18		245.247	1.32082	High confidence	185.678
			54	Subtracted		59.569
			4130	Divided	201.5	1.01062	Low confidence	199.383
			4141	Subtracted		2.117
		Squared	245	Divided	6768.05	1.31131	High confidence	8875.01
			1119		41688.5	1.04654	Low confidence	43628.5
			1423	Subtracted		1940
			1962		6768.05	2106.96	High confidence	8875.01
		Rooted	64	Divided	47.2654	1.35128		63.8686
			67	Subtracted		16.6032
			4914	Divided	72.6287	1.00944	Low confidence	71.9496
			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]		Measured	310		8630.06	1078.26	High confidence	7551.8
			509	Divided		1.14278
			780	Subtracted	8585.64	329.69	Low confidence	8255.95
			885	Divided		1.03993
		Ranked	1038		181.041	1.03148	High confidence	186.741
			1120	Subtracted		5.7
			1328	Divided	194.038	1.02218	Low confidence	198.342
			1408	Subtracted		4.304
		Squared	274		39351.7	8544	High confidence	30807.7
			295	Divided		1.27733
			4514	Subtracted	45736	881.7	Low confidence	46617.7
			4562	Divided		1.01928
		Rooted	610	Subtracted	79.1513	4.7956	High confidence	74.3557
			805	Divided		1.0645
			980	Subtracted	76.3375	2.8374	Low confidence	73.5001
			1092	Divided		1.0386
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	307	Subtracted	8636.87	1080.12	High confidence	7556.75
			508	Divided		1.14293

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.