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	network_comparison	green

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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	network_comparison	green
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	1.32082	245.247
	54		Subtracted				59.569
	60		Divided	Measured	4489.19		1.6231	2765.82
	64			Rooted	63.8686		1.35128	47.2654
	67		Subtracted				16.6032
	164			Measured	4489.19		1723.37	2765.82
	245		Divided	Squared	8875.01		1.31131	6768.05
	1119				43628.5	Low confidence	1.04654	41688.5
	1423		Subtracted				1940
	1962				8875.01	High confidence	2106.96	6768.05
	4130		Divided	Ranked	199.383	Low confidence	1.01062	201.5
	4141		Subtracted				2.117
	4909			Measured	7853.62		46.92	7900.54
	4914		Divided				1.00597
				Rooted	71.9496		1.00944	72.6287
	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	8544	39351.7
	295		Divided				1.27733
	310		Subtracted	Measured	7551.8		1078.26	8630.06
	509		Divided				1.14278
	610		Subtracted	Rooted	74.3557		4.7956	79.1513
	780			Measured	8255.95	Low confidence	329.69	8585.64
	805		Divided	Rooted	74.3557	High confidence	1.0645	79.1513
	885			Measured	8255.95	Low confidence	1.03993	8585.64
	980		Subtracted	Rooted	73.5001		2.8374	76.3375
	1038		Divided	Ranked	186.741	High confidence	1.03148	181.041
	1092			Rooted	73.5001	Low confidence	1.0386	76.3375
	1120		Subtracted	Ranked	186.741	High confidence	5.7	181.041
	1328		Divided		198.342	Low confidence	1.02218	194.038
	1408		Subtracted				4.304
	4514			Squared	46617.7		881.7	45736
	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	8557.4	39383.9
	294		Divided				1.2776
	307		Subtracted	Measured	7556.75		1080.12	8636.87
	508		Divided				1.14293
	609		Subtracted	Rooted	74.3877		4.8054	79.1931
	773			Measured	8256.68	Low confidence	330.35	8587.03
	804		Divided	Rooted	74.3877	High confidence	1.0646	79.1931
	880			Measured	8256.68	Low confidence	1.04001	8587.03
	977		Subtracted	Rooted	73.5068		2.8399	76.3467
	1032		Divided	Ranked	186.664	High confidence	1.03162	180.943
	1084			Rooted	73.5068	Low confidence	1.03863	76.3467
	1115		Subtracted	Ranked	186.664	High confidence	5.721	180.943
	1322		Divided		198.322	Low confidence	1.0222	194.014
	1406		Subtracted				4.308
	4523			Squared	46616.1		875.6	45740.5
	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		550.78	9081.29
	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.