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.

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

Results: HTML CSV LaTeX

Showing element 551 to 600 of 77072 in total

description	Rank	Filtered	Value Type	Network Comparison Type	green	Interaction Map	red	network_comparison
26s proteasome non-atpase regulatory subunit 10 (26s proteasome regulatory subunit p28) (gankyrin). [swissprot;acc:o75832]	380	0	Measured	Subtracted	2642.79	High confidence	2683.61	40.82
	451			Divided				1.01545
	584		Squared	Subtracted	6490.54	Low confidence	6603.33	112.79
	762		Measured		1609.88		1593.68	16.2
	763		Squared	Divided	6490.54		6603.33	1.01738
	771		Measured		1609.88		1593.68	1.01017
	793		Rooted		23.2445		23.11	1.00582
	797			Subtracted				0.1345
	822		Ranked		11854.2		11832.8	21.4
	825			Divided				1.00181
	1249	1	Squared	Subtracted	29419.4	High confidence	26432.8	2986.6
	1537			Divided				1.11299
	1609		Measured		6242.44		5826.74	1.07134
	1646			Subtracted				415.7
	1884				8397.56	Low confidence	8137.96	259.6
	2056			Divided				1.0319
	2061		Rooted	Subtracted	63.8594	High confidence	62.2279	1.6315
	2064			Divided				1.02622
	2256		Ranked	Subtracted	218.627		217.419	1.208
	2269			Divided				1.00556
	2566		Rooted	Subtracted	75.1187	Low confidence	72.7032	2.4155
	2649			Divided				1.03322
	3038		Ranked		197.031		200.303	1.01661
	3047			Subtracted				3.272
	4026		Squared		45056.5		46258.5	1202
	4141			Divided				1.02668
26s proteasome non-atpase regulatory subunit 11 (26s proteasome regulatory subunit s9) (26s proteasome regulatory subunit p44.5). [swissprot;acc:o00231]	744		Measured	Subtracted	8727.99		8393.58	334.41
	889			Divided				1.03984
	1278		Squared	Subtracted	29677.3	High confidence	26736.9	2940.4
	1282		Rooted		76.7559	Low confidence	74.0544	2.7015
	1508			Divided				1.03648
	1586		Squared		29677.3	High confidence	26736.9	1.10998
	1592		Measured		6271.79		5853.1	1.07153
	1634			Subtracted				418.69
	2016		Rooted		63.9816		62.2803	1.7013
	2026			Divided				1.02732
	2174		Ranked		193.995	Low confidence	197.69	1.01905
	2274			Subtracted				3.695
	2353				218.475	High confidence	217.589	0.886
	2367			Divided				1.00407
	4818		Squared	Subtracted	47445.6	Low confidence	47846.2	400.6
	4838			Divided				1.00844
26s proteasome non-atpase regulatory subunit 12 (26s proteasome regulatory subunit p55). [swissprot;acc:o00232]	136	0		Subtracted	5878.56	High confidence	6747.71	869.15
	199				14694	Low confidence	15800.9	1106.9
	328			Divided	5878.56	High confidence	6747.71	1.14785
	434		Measured	Subtracted	2263.85		2281.12	17.27
	446		Rooted		28.5146		28.0847	0.4299
	458			Divided				1.01531
	474		Measured		2263.85		2281.12	1.00763
	493		Ranked	Subtracted	11748.1		11725.2	22.9

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.