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 [...,...].

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

Results: HTML CSV LaTeX

Showing element 451 to 500 of 77072 in total

Filtered  : 0

description	green	Rank	red	Value Type	network_comparison	Interaction Map	Network Comparison Type
60s ribosomal protein l14 (cag-isl 7). [swissprot;acc:p50914]	10927.4	239	12003.2	Ranked	1075.8	Low confidence	Subtracted
		345			1.09845		Divided
	12631.5	423	12318.7		312.8	High confidence	Subtracted
		429			1.02539		Divided
	42399.1	72	46009.8	Squared	3610.7	Low confidence	Subtracted
		560			1.08516		Divided
60s ribosomal protein l15. [swissprot;acc:p39030]	17.0546	186	19.482	Rooted	1.14233	High confidence
		233			2.4274		Subtracted
	18.2577	413	19.6961		1.07878	Low confidence	Divided
		476			1.4384		Subtracted
	753.793	272	846.216	Measured	1.12261	High confidence	Divided
		284			92.423		Subtracted
	1035.81	599	1073.94		1.03681	Low confidence	Divided
		642			38.13		Subtracted
	1286.61	300	1362.84	Squared	76.23	High confidence
		410			1.05925		Divided
	4629.2	577	4507.15		122.05	Low confidence	Subtracted
		721			1.02708		Divided
	12972.6	296	12083.8	Ranked	888.8		Subtracted
		447			1.07355		Divided
	13203.1	167	11745.2		1457.9	High confidence	Subtracted
		188			1.12413		Divided
60s ribosomal protein l17 (l23). [swissprot;acc:p18621]	28.761	210	26.0693	Rooted	2.6917		Subtracted
		262			1.10325		Divided
	31.1643	399	29.4019		1.7624	Low confidence	Subtracted
		482			1.05994		Divided
	1906.28	138	1663.73	Measured	242.55	High confidence	Subtracted
		232			1.14579		Divided
	2987.56	228	2742.51		245.05	Low confidence	Subtracted
		422			1.08935		Divided
	5159.2	118	4121.56	Squared	1037.64	High confidence	Subtracted
		269			1.25176		Divided
	10251.6	277	11096.8	Ranked	1.08245
		281			845.2		Subtracted
	10757.5	605	11129		371.5	Low confidence
		607			1.03453		Divided
	21937.1	97	19108.6	Squared	2828.5		Subtracted
		334			1.14802		Divided
60s ribosomal protein l18a. [swissprot;acc:q02543]	32.2238	327	30.8547	Rooted	1.3691	High confidence	Subtracted
		363			1.04437		Divided
	36.9967	737	36.6174		0.3793	Low confidence	Subtracted
		769			1.01036		Divided
	2604.71	313	2688.7	Measured	83.99	High confidence	Subtracted
		419			1.03225		Divided
	3920.97	264	3708.61		212.36	Low confidence	Subtracted
		516			1.05726		Divided
	9385.52	302	9310.69	Squared	74.83	High confidence	Subtracted
		475			1.00804		Divided
	10063.9	617	10372.1	Ranked	1.03062	Low confidence
		629			308.2		Subtracted

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.