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

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Showing element 1 to 5 of 5 in total

Value Type  : Ranked
Network Comparison Type  : Divided
Interaction Map  : High confidence
Filtered  : 1
network_comparison  : 1.06891

Rank	description	red	green
521	exosome complex exonuclease rrp41 (ec 3.1.13.-) (ribosomal rna processing protein 41) (p12a). [swissprot;acc:q9npd3]	215.237	230.07
522	pleiotropic regulator 1 (prl1homolog, arabidopsis); pleiotropic regulator 1 (prl1, arabidopsis homolog). [refseq;acc:nm_002669]	222.893	208.523
523	exosome complex exonuclease rrp4 (ec 3.1.13.-) (ribosomal rna processing protein 4). [swissprot;acc:q13868]	215.237	230.07
524	exosome complex exonuclease rrp40 (ec 3.1.13.-) (ribosomal rna processing protein 40) (p10) (cgi-102). [swissprot;acc:q9nqt5]
525	exosome complex exonuclease rrp46 (ec 3.1.13.-) (ribosomal rna processing protein 46) (p12b) (chronic myelogenous leukemia tumor antigen 28). [swissprot;acc:q9nqt4]

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.