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

Results: HTML CSV LaTeX

Showing element 501 to 550 of 77072 in total

Filtered  : 0

description	Value Type	Rank	Network Comparison Type	network_comparison	Interaction Map	green	red
60s ribosomal protein l18a. [swissprot;acc:q02543]	Rooted	327	Subtracted	1.3691	High confidence	32.2238	30.8547
		363	Divided	1.04437
		737	Subtracted	0.3793	Low confidence	36.9967	36.6174
		769	Divided	1.01036
60s ribosomal protein l21. [swissprot;acc:p46778]	Measured	72		1.73441	High confidence	992.083	572
		75	Subtracted	420.083
		474		82.01	Low confidence	2075.51	2157.52
		587	Divided	1.03951
	Ranked	41		1.47871	High confidence	6758.83	9994.33
		60	Subtracted	3235.5
		328		825.7	Low confidence	10779.4	11605.1
		428	Divided	1.0766
	Squared	86		2.45254	High confidence	359.589	146.619
		115	Subtracted	2327.1	Low confidence	10078.9	12406
		228		212.97	High confidence	359.589	146.619
		252	Divided	1.23089	Low confidence	10078.9	12406
	Rooted	40	Subtracted	8.6557	High confidence	29.2291	20.5734
		65	Divided	1.42072
		501	Subtracted	1.3111	Low confidence	27.0433	25.7322
		518	Divided	1.05095
60s ribosomal protein l22 (epstein-barr virus small rna associated protein) (eber associated protein) (eap) (heparin binding protein hbp15). [swissprot;acc:p35268]	Measured	97		1.52879	High confidence	476.619	728.65
		135	Subtracted	252.031
		426		106.65	Low confidence	1895.34	1788.69
		503	Divided	1.05962
	Ranked	387	Subtracted	392.6	High confidence	12508.3	12115.7
		411	Divided	1.0324
		564		1.04466	Low confidence	11452	10962.4
		566	Subtracted	489.6
	Squared	82	Divided	2.63788	High confidence	141.849	374.181
		198	Subtracted	1109.76	Low confidence	7316.01	6206.25
		223		232.332	High confidence	141.849	374.181
		294	Divided	1.17881	Low confidence	7316.01	6206.25
	Rooted	131		1.20341	High confidence	16.0484	19.3128
		161	Subtracted	3.2644
		642		0.7357	Low confidence	26.2873	27.023
		648	Divided	1.02799
60s ribosomal protein l23 (l17). [swissprot;acc:p23131]	Measured	162	Subtracted	202.51	High confidence	1956.36	1753.85
		284	Divided	1.11547
		731	Subtracted	22.63	Low confidence	2362.61	2339.98
		774	Divided	1.00967
	Ranked	311		1.06558	High confidence	9622.45	10253.5
		334	Subtracted	631.05
		677	Divided	1.02072	Low confidence	10251.3	10463.7
		693	Subtracted	212.4
	Squared	122		1011.96	High confidence	5226.4	4214.44
		274	Divided	1.24012
		527	Subtracted	207.9	Low confidence	14238.8	14446.7
		777	Divided	1.0146
	Rooted	269	Subtracted	2.0925	High confidence	30.112	28.0195
		298	Divided	1.07468

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.