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

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Showing element 1 to 50 of 66312 in total

Filtered  : 1

description	Rank	Hugo	Network Comparison Type	Value Type	red	Interaction Map	green	network_comparison
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	18	GBE1	Divided	Ranked	185.678	High confidence	245.247	1.32082
	54		Subtracted					59.569
	60		Divided	Measured	4489.19		2765.82	1.6231
	64			Rooted	63.8686		47.2654	1.35128
	67		Subtracted					16.6032
	164			Measured	4489.19		2765.82	1723.37
	245		Divided	Squared	8875.01		6768.05	1.31131
	1119				43628.5	Low confidence	41688.5	1.04654
	1423		Subtracted					1940
	1962				8875.01	High confidence	6768.05	2106.96
	4130		Divided	Ranked	199.383	Low confidence	201.5	1.01062
	4141		Subtracted					2.117
	4909			Measured	7853.62		7900.54	46.92
	4914		Divided					1.00597
				Rooted	71.9496		72.6287	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	no value		Squared	30807.7	High confidence	39351.7	8544
	295		Divided					1.27733
	310		Subtracted	Measured	7551.8		8630.06	1078.26
	509		Divided					1.14278
	610		Subtracted	Rooted	74.3557		79.1513	4.7956
	780			Measured	8255.95	Low confidence	8585.64	329.69
	805		Divided	Rooted	74.3557	High confidence	79.1513	1.0645
	885			Measured	8255.95	Low confidence	8585.64	1.03993
	980		Subtracted	Rooted	73.5001		76.3375	2.8374
	1038		Divided	Ranked	186.741	High confidence	181.041	1.03148
	1092			Rooted	73.5001	Low confidence	76.3375	1.0386
	1120		Subtracted	Ranked	186.741	High confidence	181.041	5.7
	1328		Divided		198.342	Low confidence	194.038	1.02218
	1408		Subtracted					4.304
	4514			Squared	46617.7		45736	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	AGPAT2	Subtracted		30826.5	High confidence	39383.9	8557.4
	294		Divided					1.2776
	307		Subtracted	Measured	7556.75		8636.87	1080.12
	508		Divided					1.14293
	609		Subtracted	Rooted	74.3877		79.1931	4.8054
	773			Measured	8256.68	Low confidence	8587.03	330.35
	804		Divided	Rooted	74.3877	High confidence	79.1931	1.0646
	880			Measured	8256.68	Low confidence	8587.03	1.04001
	977		Subtracted	Rooted	73.5068		76.3467	2.8399
	1032		Divided	Ranked	186.664	High confidence	180.943	1.03162
	1084			Rooted	73.5068	Low confidence	76.3467	1.03863
	1115		Subtracted	Ranked	186.664	High confidence	180.943	5.721
	1322		Divided		198.322	Low confidence	194.014	1.0222
	1406		Subtracted					4.308
	4523			Squared	46616.1		45740.5	875.6
	4569		Divided					1.01914
1-acyl-sn-glycerol-3-phosphate acyltransferase delta (ec 2.3.1.51) (1- agp acyltransferase 4) (1-agpat 4) (lysophosphatidic acid acyltransferase-delta) (lpaat-delta) (1-acylglycerol-3-phosphate o- acyltransferase 4). [swissprot;acc:q9nrz5]	210	AGPAT4	Subtracted	Measured	8530.51		9081.29	550.78
	237		Divided					1.06457

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
- Hugo is the HGNC identifier if it exists
- 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.