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

Table 3: Type II network, divided ranks. This table presents the output of the simulation of a type-II network in which we relied on the high confidence interactions and micro-array results. The output of the micro-array was then ranked and these ranks used as input into the network simulation. After performing two such simulations (one for the MK5 off and one for the MK5 on microarray output), we divided the ranks and sorted the results accordingly. The output of this technique is a collection of proteins that cluster naturally together.

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

Results: HTML CSV LaTeX

Showing element 501 to 550 of 66312 in total

Filtered  : 1

description	Rank	Value Type	Interaction Map	green	red	Network Comparison Type	network_comparison
26s proteasome non-atpase regulatory subunit 1 (26s proteasome regulatory subunit s1) (26s proteasome subunit p112). [swissprot;acc:q99460]	2355	Ranked	High confidence	219.434	218.555	Subtracted	0.879
	2368					Divided	1.00402
	2447	Measured	Low confidence	8063.51	7825.14		1.03046
	2527					Subtracted	238.37
26s proteasome non-atpase regulatory subunit 10 (26s proteasome regulatory subunit p28) (gankyrin). [swissprot;acc:o75832]	1249	Squared	High confidence	29419.4	26432.8		2986.6
	1537					Divided	1.11299
	1609	Measured		6242.44	5826.74		1.07134
	1646					Subtracted	415.7
	1884		Low confidence	8397.56	8137.96		259.6
	2056					Divided	1.0319
	2061	Rooted	High confidence	63.8594	62.2279	Subtracted	1.6315
	2064					Divided	1.02622
	2256	Ranked		218.627	217.419	Subtracted	1.208
	2269					Divided	1.00556
	2566	Rooted	Low confidence	75.1187	72.7032	Subtracted	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		8727.99	8393.58	Subtracted	334.41
	889					Divided	1.03984
	1278	Squared	High confidence	29677.3	26736.9	Subtracted	2940.4
	1282	Rooted	Low confidence	76.7559	74.0544		2.7015
	1508					Divided	1.03648
	1586	Squared	High confidence	29677.3	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	Low confidence	193.995	197.69		1.01905
	2274					Subtracted	3.695
	2353		High confidence	218.475	217.589		0.886
	2367					Divided	1.00407
	4818	Squared	Low confidence	47445.6	47846.2	Subtracted	400.6
	4838					Divided	1.00844
26s proteasome non-atpase regulatory subunit 12 (26s proteasome regulatory subunit p55). [swissprot;acc:o00232]	933	Measured		8671.34	8358.82	Subtracted	312.52
	1073					Divided	1.03739
	1248	Squared	High confidence	29539	26551.2	Subtracted	2987.8
	1541					Divided	1.11253
	1579	Measured		6261.87	5842.44		1.07179
	1633					Subtracted	419.43
	2042	Rooted		63.9809	62.309		1.6719
	2045					Divided	1.02683
	2154		Low confidence	76.2257	73.7276	Subtracted	2.4981
	2300	Ranked	High confidence	218.311	217.241		1.07
	2316					Divided	1.00493
	2398	Rooted	Low confidence	76.2257	73.7276		1.03388
	3393	Ranked		195.526	198.522		1.01532
	3428					Subtracted	2.996

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.