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 [...,...].

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

Results: HTML CSV LaTeX

Showing element 451 to 500 of 77072 in total

Filtered  : 1

description	Value Type	green	Interaction Map	network_comparison	red	Rank	Network Comparison Type
26s protease regulatory subunit 6a (tat-binding protein 1) (tbp-1) (proteasome subunit p50). [swissprot;acc:p17980]	Measured	8372.5	Low confidence	1.03218	8111.49	2003	Divided
				261.01		1841	Subtracted
	Ranked	196.948		1.01795	200.484	2595	Divided
				3.536		2596	Subtracted
		217.285	High confidence	0.645	216.64	2466
				1.00298		2474	Divided
	Squared	30410		1.11409	27295.8	1496
				3114.2		1181	Subtracted
		44725.2	Low confidence	1.0303	46080.5	3788	Divided
				1355.3		3664	Subtracted
	Rooted	64.4831	High confidence	1.02878	62.679	1916	Divided
				1.8041		1949	Subtracted
		75.0673	Low confidence	1.03422	72.5833	2293	Divided
				2.484		2219	Subtracted
26s protease regulatory subunit 6b (mip224) (mb67 interacting protein) (tat-binding protein-7) (tbp-7). [swissprot;acc:p43686]	Measured	6242.94	High confidence	1.07226	5822.25	1567	Divided
				420.69		1628	Subtracted
		8556.58	Low confidence	1.03623	8257.44	1203	Divided
				299.14		1060	Subtracted
	Ranked	195.763		1.01951	199.582	1991	Divided
				3.819		2044	Subtracted
		218.426	High confidence	1.00466	217.413	2327	Divided
				1.013		2323	Subtracted
	Squared	29299.3		1.115	26277.3	1489	Divided
				3022		1222	Subtracted
		46205.5	Low confidence	1.01772	47024.3	4609	Divided
				818.8		4581	Subtracted
	Rooted	63.9055	High confidence	1.02686	62.2342	2044	Divided
				1.6713		2043	Subtracted
		75.8817	Low confidence	1.03591	73.251	1667	Divided
				2.6307		1542	Subtracted
26s protease regulatory subunit 7 (mss1 protein). [swissprot;acc:p35998]	Measured	6207.5	High confidence	1.07322	5783.97	1539	Divided
				423.53		1622	Subtracted
		8703.92	Low confidence	1.03794	8385.76	1024	Divided
				318.16		877	Subtracted
	Ranked	194.732		1.01866	198.366	2321	Divided
				3.634		2407	Subtracted
		219.014	High confidence	0.822	218.192	2394
				1.00377		2395	Divided
	Squared	29163.8		1.11557	26142.6	1481
				3021.2		1224	Subtracted
		47560.6	Low confidence	1.00838	47959.2	4841	Divided
				398.6		4819	Subtracted
	Rooted	63.6738	High confidence	1.02776	61.9542	1979	Divided
				1.7196		2006	Subtracted
		76.5062	Low confidence	1.03544	73.8873	1844	Divided
				2.6189		1578	Subtracted
26s protease regulatory subunit 8 (proteasome subunit p45) (thyroid hormone receptor interacting protein 1) (trip1) (msug1 protein) (tat-binding protein homolog 10) (tbp10) (p45/sug). [swissprot;acc:p47210]	Measured	8314.51		1.02789	8088.94	3044	Divided
				225.57		2944	Subtracted
		9234.09	High confidence	1.00914	9150.44	2651	Divided
				83.65		2602	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.