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

Table 3: Type II network, divided ranks. This table presents the output of the simulation of a type-II network in which we relied on the high confidence interactions and micro-array results. The output of the micro-array was then ranked and these ranks used as input into the network simulation. After performing two such simulations (one for the MK5 off and one for the MK5 on microarray output), we divided the ranks and sorted the results accordingly. The output of this technique is a collection of proteins that cluster naturally together.

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

Results: HTML CSV LaTeX

Showing element 551 to 600 of 14920 in total

Network Comparison Type  : Divided
Interaction Map  : High confidence

description	Value Type	Rank	red	Filtered	network_comparison	green
60s ribosomal protein l10 (qm protein) (tumor suppressor qm) (laminin receptor homolog). [swissprot;acc:p27635]	Ranked	199	11781.8	0	1.11721	10545.7
		357	243.12	1	1.09683	266.661
	Squared	262	2463.89	0	1.25915	3102.4
		1895	12581.2	1	1.09413	13765.5
	Rooted	261	22.315	0	1.10328	24.6198
		444	50.1636	1	1.09701	45.7275
60s ribosomal protein l10a (csa-19). [swissprot;acc:p53025]	Measured	322	1621.1	0	1.09249	1771.04
		2255	3624.59	1	1.04655	3463.37
	Ranked	356	243.24		1.09684	266.796
		397	10006.9	0	1.03414	9676.53
	Squared	259	3438.01		1.26235	4339.96
		1906	12688.5	1	1.09397	13880.9
	Rooted	355	27.6061	0	1.04709	28.9062
		443	50.1766	1	1.09707	45.7369
60s ribosomal protein l11, mitochondrial precursor (l11mt) (cgi-113). [swissprot;acc:q9y3b7]	Measured	2417	3598.55		1.03775	3467.65
	Ranked	373	242.37		1.09442	265.255
	Squared	1743	12299.6		1.10078	13539.1
	Rooted	509	50.2583		1.09122	46.057
60s ribosomal protein l11. [swissprot;acc:p39026]	Measured	1834	3593.24		1.06437	3375.93
	Ranked	283	241.828		1.10552	267.346
	Squared	2108	12200.6		1.08823	13277
	Rooted	336	50.3167		1.10814	45.4063
60s ribosomal protein l12 like protein. [sptrembl;acc:o60886]	Measured	330	1658.23	0	1.08882	1805.52
		2186	3586.3	1	1.05035	3414.4
	Ranked	338	243.583		1.0983	267.528
		396	10194.8	0	1.03436	9856.12
	Squared	265	3687.69		1.25845	4640.77
		1933	12442.9	1	1.09354	13606.8
	Rooted	362	27.5242	0	1.04491	28.7604
		407	49.9856	1	1.09996	45.4431
60s ribosomal protein l12, mitochondrial precursor (l12mt) (5c5-2). [swissprot;acc:p52815]	Measured	2372	3677.53		1.04278	3526.65
	Ranked	369	242.159		1.09475	265.104
	Squared	1878	12933		1.09484	14159.6
	Rooted	489	50.5505		1.09228	46.2797
60s ribosomal protein l12. [swissprot;acc:p30050]	Measured	328	1657.78	0	1.08884	1805.05
		2185	3586.32	1	1.05035	3414.42
	Ranked	337	243.583		1.0983	267.527
		394	10196.9	0	1.0344	9857.79
	Squared	264	3686.65		1.25845	4639.46
		1931	12442.9	1	1.09355	13606.9
	Rooted	360	27.5183	0	1.04493	28.7547
		406	49.9858	1	1.09996	45.4433
60s ribosomal protein l13, mitochondrial (l13mt). [swissprot;acc:q9byd1]	Measured	2447	3730.53		1.03309	3611.05
	Ranked	390	241.828		1.09011	263.62
	Squared	1783	13244.1		1.09969	14564.4
	Rooted	533	50.8036		1.08509	46.8198
60s ribosomal protein l13a (23 kda highly basic protein). [swissprot;acc:p40429]	Measured	2449	3730.74		1.03303	3611.45
	Ranked	392	241.83		1.09008	263.615
	Squared	1782	13245.8		1.09971	14566.6
	Rooted	535	50.8041		1.08505	46.8218

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.