Scientific

MK5 Microarray Data


Affected Genes - Ontology Breakdown - Gene Enrichment - Proteome Analysis

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 [...,...].
green Filtered description red Value Type network_comparison Gene Interaction Map Rank Network Comparison Type
Results: HTML CSV LaTeX Showing element 601 to 650 of 2121 in total
green  : 0
Filtered  : 1
red  : 0
network_comparison  : 0
Network Comparison Type  : Subtracted
description
Value Type
Interaction Map
Rank
g protein-coupled receptor 66. [refseq;acc:nm_006056] Measured High confidence 2815
Ranked
Squared
Rooted
gamma-glutamyltransferase-like activity 4; gamma-glutamyltranspeptidase-like. [refseq;acc:nm_080920] Measured Low confidence 5030
Ranked 5029
Squared 5030
Rooted
gamma-glutamyltransferase. [sptrembl;acc:q14390] Measured 5053
Ranked
Squared
Rooted
gamma-glutamyltranspeptidase 1 precursor (ec 2.3.2.2) (gamma- glutamyltransferase 1) (cd224 antigen). [swissprot;acc:p19440] Measured 5054
Ranked
Squared
Rooted
gamma-glutamyltranspeptidase 2 (ec 2.3.2.2) (gamma-glutamyltransferase 2) (fragment). [swissprot;acc:p36268] Measured 5021
Ranked 5020
Squared 5021
Rooted
gamma-glutamyltranspeptidase 5 precursor (ec 2.3.2.2) (gamma- glutamyltransferase 5) (ggt-rel). [swissprot;acc:p36269] Measured 5055
Ranked
Squared
Rooted
gamma-interferon inducible lysosomal thiol reductase precursor (gamma-interferon-inducible protein ip-30). [swissprot;acc:p13284] Measured High confidence 3101
Ranked
Squared
Rooted
gdp-fucose protein o-fucosyltransferase 1 precursor (ec 2.4.1.221) (peptide o-fucosyltransferase) (o-fuct-1). [swissprot;acc:q9h488] Measured 3125
Ranked
Squared
Rooted
geranylgeranyl transferase type ii beta subunit (ec 2.5.1.-) (rab geranylgeranyltransferase beta subunit) (rab geranyl- geranyltransferase beta subunit) (rab gg transferase beta) (rab ggtase beta). [swissprot;acc:p53611] Measured 2963
Ranked
Squared
Rooted
glioma pathogenesis-related protein (glipr) (rtvp-1 protein). [swissprot;acc:p48060] Measured 2953
Ranked
Squared
Rooted
glioma tumor suppressor candidate region gene 2 protein (p60). [swissprot;acc:q9nzm5] Measured 3104
Ranked
Squared
Rooted
glioma-amplified sequence-41; numa binding protein 1. [refseq;acc:nm_006530] Measured 3007
Ranked
Squared
Rooted
glucosamine-6-phosphate isomerase (ec 3.5.99.6) (glucosamine-6- phosphate deaminase) (gnpda) (glcn6p deaminase) (oscillin). [swissprot;acc:p46926] Measured 3058
Ranked

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.

- http://analysis.yellowcouch.org/