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 [...,...].

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

Results: HTML CSV LaTeX

Showing element 3180 to 3229 of 77072 in total

description	Filtered	Rank	Value Type	Network Comparison Type	green	Interaction Map	red	network_comparison
60s ribosomal protein l37 (g1.16). [swissprot;acc:p02403]	1	1255	Measured	Subtracted	8101.14	Low confidence	7817.38	283.76
		1501	Squared	Divided	20672	High confidence	18555.4	1.11407
		1696	Rooted		54.8538		56.6562	1.03286
		1829			73.5542	Low confidence	71.0339	1.03548
		1948	Squared	Subtracted	20672	High confidence	18555.4	2116.6
		1950	Rooted		54.8538		56.6562	1.8024
		2048			73.5542	Low confidence	71.0339	2.5203
		2548	Measured	Divided	4824.4	High confidence	4725.79	1.02087
		2569		Subtracted				98.61
		3117	Ranked		200.191	Low confidence	203.428	3.237
		3174		Divided				1.01617
		4198	Squared		42999.9		44114.5	1.02592
		4203		Subtracted				1114.6
60s ribosomal protein l37a. [swissprot;acc:p12751]	0	18	Measured	Divided	26.1599	High confidence	305.45	11.6763
		25	Squared		0.344399		44.3683	128.828
			Rooted		3.80565		13.7805	3.62106
		27	Ranked	Subtracted	18499.2		12941.7	5557.5
			Rooted		3.80565		13.7805	9.97485
		37	Ranked		15783.5	Low confidence	12374.3	3409.2
		41	Rooted		9.96201		16.1217	6.15969
		46	Ranked	Divided	18499.2	High confidence	12941.7	1.42943
		54	Rooted		9.96201	Low confidence	16.1217	1.61832
		63	Ranked		15783.5		12374.3	1.27551
		101	Measured		362.955		535.61	1.47569
		114		Subtracted	26.1599	High confidence	305.45	279.29
		301			362.955	Low confidence	535.61	172.655
		335	Squared		0.344399	High confidence	44.3683	44.0239
		680			1009.55	Low confidence	1052.5	42.95
		684		Divided				1.04254
	1	53	Ranked	Subtracted	217.005		239.692	22.687
		55	Rooted	Divided	64.3669		57.2649	1.12402
		68	Ranked		217.005		239.692	1.10455
			Rooted	Subtracted	64.3669		57.2649	7.102
		139	Measured	Divided	6277.91		5762.4	1.08946
		244		Subtracted				515.51
		2959		Divided	0.00001	High confidence	0.00001	1
				Subtracted	0		0	0
			Ranked	Divided	0.00001		0.00001	1
				Subtracted	0		0	0
			Squared	Divided	0.00001		0.00001	1
				Subtracted	0		0	0
			Rooted	Divided	0.00001		0.00001	1
				Subtracted	0		0	0
		3873	Squared	Divided	31052	Low confidence	31970.2	1.02957
		4479		Subtracted				918.2
60s ribosomal protein l38. [swissprot;acc:p23411]		2612	Measured	Divided	8146.53		7910.01	1.0299
		2613		Subtracted				236.52
		2985	Squared		43366.8		44901.4	1534.6
		3043		Divided				1.03539
		3566	Rooted		73.6472		71.5134	1.02984

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.