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.

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

Results: HTML CSV LaTeX

Showing element 1 to 10 of 10 in total

Filtered  : 1
green  : 245.247
Value Type  : Ranked
Interaction Map  : High confidence
red  : 185.678

description	network_comparison	Rank	Network Comparison Type
1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446]	1.32082	18	Divided
	59.569	54	Subtracted
glycogen phosphorylase, brain form (ec 2.4.1.1). [swissprot;acc:p11216]	1.32082	19	Divided
	59.569	55	Subtracted
glycogen phosphorylase, liver form (ec 2.4.1.1). [swissprot;acc:p06737]	1.32082	20	Divided
	59.569	56	Subtracted
glycogen phosphorylase, muscle form (ec 2.4.1.1) (myophosphorylase). [swissprot;acc:p11217]	1.32082	22	Divided
	59.569	58	Subtracted
myosin xv (unconventional myosin-15). [swissprot;acc:q9ukn7]	1.32082	21	Divided
	59.569	57	Subtracted

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.