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.

Proteome Analysis

Below the proteome analysis is presented. The analysis methods are presented in the paper Propagating Differential Gene Expression in Protein Interaction Networks. If you are interested in the most reliable results choose the

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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 77072 in total

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