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

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

Results: HTML CSV LaTeX

Showing element 59174 to 59223 of 66312 in total

Filtered  : 1

description	Rank	Hugo	Network Comparison Type	Value Type	Interaction Map	red	green	network_comparison
transketolase-like 1 (ec 2.2.1.1) (transketolase 2) (tk 2) (transketolase related protein). [swissprot;acc:p51854]	2531	TKTL1	Divided	Measured	Low confidence	8140.93	8386.95	1.03022
	2828		Subtracted	Squared		46476.4	44901.9	1574.5
	3092		Divided					1.03507
translation initiation factor eif-2b alpha subunit (eif-2b gdp-gtp exchange factor). [swissprot;acc:q14232]	428	EIF2B1	Subtracted			49536.2	46463.8	3072.4
	443		Divided					1.06612
	1648		Subtracted		High confidence	26276.4	28767.6	2491.2
	1693		Divided	Measured		5767.69	6165.87	1.06904
	1719		Subtracted					398.18
	1886		Divided	Squared		26276.4	28767.6	1.09481
	1992			Rooted		61.8616	63.5621	1.02749
	2023		Subtracted					1.7005
	2407			Ranked		218.2	218.984	0.784
	2419		Divided					1.00359
	2732				Low confidence	199.881	196.448	1.01748
	2764		Subtracted					3.433
	3354			Rooted		73.4999	75.714	2.2141
	3520		Divided					1.03012
	4398		Subtracted	Measured		8397.58	8555.3	157.72
	4494		Divided					1.01878
translation initiation factor eif-2b beta subunit (eif-2b gdp-gtp exchange factor) (s20i15) (s20iii15). [swissprot;acc:p49770]	1442	EIF2B2	Subtracted	Squared	High confidence	23320.4	26051	2730.6
	1463		Divided					1.11709
	1799			Measured		5456.57	5816.14	1.0659
	1910		Subtracted					359.57
	2027			Ranked		220.787	222.634	1.847
	2049		Divided					1.00837
	2234			Rooted		60.5029	61.7843	1.02118
	2266		Subtracted	Measured	Low confidence	8038.57	8286.32	247.75
	2282			Rooted	High confidence	60.5029	61.7843	1.2814
	2372		Divided	Measured	Low confidence	8038.57	8286.32	1.03082
	2473			Rooted		71.9589	74.383	1.03369
	2524		Subtracted					2.4241
	2879			Squared		46009.4	44444.9	1564.5
	2887			Ranked		202.414	199.03	3.384
	2927		Divided					1.017
	3072			Squared		46009.4	44444.9	1.0352
translation initiation factor eif-2b delta subunit (eif-2b gdp-gtp exchange factor). [swissprot;acc:q9ui10]	1501	EIF2B4	Subtracted		High confidence	23482.8	26128.5	2645.7
	1540		Divided					1.11267
	1800			Measured		5424.3	5781.58	1.06587
	1831		Subtracted	Ranked		221.725	224.133	2.408
	1866		Divided					1.01086
	1936		Subtracted	Measured		5424.3	5781.58	357.28
	2269				Low confidence	8053.1	8300.78	247.68
	2280		Divided	Rooted	High confidence	60.1708	61.3807	1.02011
	2317		Subtracted					1.2099
	2379		Divided		Low confidence	71.9965	74.4406	1.03395
	2390			Measured		8053.1	8300.78	1.03076
	2406		Subtracted	Rooted		71.9965	74.4406	2.4441
	2639			Ranked		202.466	198.969	3.497
	2692		Divided					1.01758
	2809		Subtracted	Squared		46154.2	44578.4	1575.8

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.