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

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Showing element 1 to 50 of 66312 in total

Filtered  : 1

description	Rank	Network Comparison Type	Value Type	Hugo	Interaction Map	red	green	network_comparison
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	18	Divided	Ranked	GBE1	High confidence	185.678	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				Low confidence	43628.5	41688.5	1.04654
	1423	Subtracted						1940
	1962				High confidence	8875.01	6768.05	2106.96
	4130	Divided	Ranked		Low confidence	199.383	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		Squared	no value	High confidence	30807.7	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		Low confidence	8255.95	8585.64	329.69
	805	Divided	Rooted		High confidence	74.3557	79.1513	1.0645
	885		Measured		Low confidence	8255.95	8585.64	1.03993
	980	Subtracted	Rooted			73.5001	76.3375	2.8374
	1038	Divided	Ranked		High confidence	186.741	181.041	1.03148
	1092		Rooted		Low confidence	73.5001	76.3375	1.0386
	1120	Subtracted	Ranked		High confidence	186.741	181.041	5.7
	1328	Divided			Low confidence	198.342	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	Subtracted		AGPAT2	High confidence	30826.5	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		Low confidence	8256.68	8587.03	330.35
	804	Divided	Rooted		High confidence	74.3877	79.1931	1.0646
	880		Measured		Low confidence	8256.68	8587.03	1.04001
	977	Subtracted	Rooted			73.5068	76.3467	2.8399
	1032	Divided	Ranked		High confidence	186.664	180.943	1.03162
	1084		Rooted		Low confidence	73.5068	76.3467	1.03863
	1115	Subtracted	Ranked		High confidence	186.664	180.943	5.721
	1322	Divided			Low confidence	198.322	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	Subtracted	Measured	AGPAT4		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.