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

Results: HTML CSV LaTeX

Showing element 551 to 600 of 29840 in total

Interaction Map  : High confidence

description	Rank	Value Type	Filtered	Network Comparison Type	green	red	network_comparison
4-aminobutyrate aminotransferase, mitochondrial precursor (ec 2.6.1.19) (gamma-amino-n-butyrate transaminase) (gaba transaminase) (gaba aminotransferase) (gaba-at) (gaba-t). [swissprot;acc:p80404]	2352	Rooted	1	Divided	61.9962	60.9091	1.01785
	2363			Subtracted			1.0871
40s ribosomal protein s11. [swissprot;acc:p04643]	199	Ranked			267.088	241.399	25.689
	278			Divided			1.10642
	335	Rooted			45.5342	50.4705	1.10841
	585			Subtracted			4.9363
	1873	Measured		Divided	3402.09	3618.46	1.0636
	2016	Squared			13514	12389	1.09081
	2360	Measured		Subtracted	3402.09	3618.46	216.37
	2517	Squared			13514	12389	1125
40s ribosomal protein s13. [swissprot;acc:q02546]	776			Divided	25607.9	21976	1.16527
	936			Subtracted			3631.9
	1498	Measured		Divided	5818.7	5414.98	1.07456
	1677			Subtracted			403.72
	1695	Ranked			223.813	220.899	2.914
	1722			Divided			1.01319
	2348	Rooted			61.6019	60.5137	1.01798
	2361			Subtracted			1.0882
40s ribosomal protein s14 (pro2640). [swissprot;acc:p06366]	323	Ranked			264.11	242.238	21.872
	386			Divided			1.09029
	530	Rooted			46.6413	50.6537	1.08603
	824			Subtracted			4.0124
	1823	Squared		Divided	14424.1	13145.4	1.09727
	2418			Subtracted			1278.7
	2436	Measured		Divided	3584.47	3708.67	1.03465
	2520			Subtracted			124.2
40s ribosomal protein s15 (rig protein). [swissprot;acc:p11174]	157	Squared	0		3201.81	2569.37	632.44
	205	Measured			1337.54	1183.16	154.38
		Ranked			11013.2	12183	1169.8
	219		1		266.986	242.339	24.647
	222		0	Divided	11013.2	12183	1.10622
	251	Rooted			23.5833	21.3142	1.10646
	257			Subtracted			2.2691
	258	Measured		Divided	1337.54	1183.16	1.13048
	270	Squared			3201.81	2569.37	1.24615
	304	Ranked	1		266.986	242.339	1.1017
	376	Rooted			45.5688	50.2554	1.10285
	651			Subtracted			4.6866
	1989	Squared		Divided	13523.5	12388.6	1.09161
	2067	Measured			3411.18	3602.75	1.05616
	2391			Subtracted			191.57
	2497	Squared			13523.5	12388.6	1134.9
40s ribosomal protein s15a. [swissprot;acc:p39027]	206	Ranked			266.414	241.411	25.003
	292			Divided			1.10357
	366	Rooted			45.7763	50.5463	1.1042
	615			Subtracted			4.77
	2008	Measured		Divided	3435.61	3637.47	1.05876
	2015	Squared			13600.6	12467.2	1.09091
	2368	Measured		Subtracted	3435.61	3637.47	201.86
	2502	Squared			13600.6	12467.2	1133.4

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.