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.

Proteome Analysis

Below the proteome analysis is presented. The analysis methods are presented in the paper Propagating Differential Gene Expression in Protein Interaction Networks. If you are interested in the most reliable results choose the

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

Results: HTML CSV LaTeX

Showing element 3180 to 3229 of 9634 in total

Value Type  : Measured
Network Comparison Type  : Divided

description	Filtered	Rank	green	Interaction Map	network_comparison	red
galectin-8 (gal-8) (prostate carcinoma tumor antigen 1) (pcta-1) (po66 carbohydrate-binding protein) (po66-cbp). [swissprot;acc:o00214]	1	2641	8152.91	Low confidence	1.02975	7917.39
galectin-9 (hom-hd-21) (ecalectin). [swissprot;acc:o00182]		570	8364.68		1.04596	7997.15
		973	8566.29	High confidence	1.09682	7810.11
gamma adducin (adducin-like protein 70). [swissprot;acc:q9uey8]		1365	6255.04		1.07862	5799.14
		2718	7960.07	Low confidence	1.02943	7732.51
gamma enolase (ec 4.2.1.11) (2-phospho-d-glycerate hydro-lyase) (neural enolase) (nse) (enolase 2). [swissprot;acc:p09104]		943	7241	High confidence	1.09746	6597.98
		4083	8082.09	Low confidence	1.02155	7911.57
gamma-aminobutyric acid type b receptor, subunit 2 precursor (gaba-b receptor 2) (gaba-b-r2) (gb2) (gababr2) (g protein-coupled receptor 51) (gpr 51) (hg20). [swissprot;acc:o75899]		1429	8293.26		1.03444	8017.16
gamma-aminobutyric-acid receptor alpha-1 subunit precursor (gaba(a) receptor). [swissprot;acc:p14867]		587	7644.63	High confidence	1.13425	6739.83
		1907	8240	Low confidence	1.03253	7980.36
gamma-aminobutyric-acid receptor alpha-2 subunit precursor (gaba(a) receptor). [swissprot;acc:p47869]		580	7644.63	High confidence	1.13425	6739.83
		1901	8240	Low confidence	1.03253	7980.36
gamma-aminobutyric-acid receptor alpha-3 subunit precursor (gaba(a) receptor). [swissprot;acc:p34903]		588	7644.63	High confidence	1.13425	6739.83
		1908	8240	Low confidence	1.03253	7980.36
gamma-aminobutyric-acid receptor alpha-4 subunit precursor (gaba(a) receptor). [swissprot;acc:p48169]		584	7644.63	High confidence	1.13425	6739.82
		1904	8240.01	Low confidence	1.03253	7980.37
gamma-aminobutyric-acid receptor alpha-6 subunit precursor (gaba(a) receptor). [swissprot;acc:q16445]		581	7644.63	High confidence	1.13425	6739.82
		1902	8240.01	Low confidence	1.03253	7980.37
gamma-aminobutyric-acid receptor epsilon subunit precursor (gaba(a) receptor). [swissprot;acc:p78334]		585	7644.63	High confidence	1.13425	6739.82
		1906	8240.01	Low confidence	1.03253	7980.37
gamma-aminobutyric-acid receptor gamma-1 subunit precursor (gaba(a) receptor). [swissprot;acc:q8n1c3]		579	7644.62	High confidence	1.13425	6739.82
		1897	8240.05	Low confidence	1.03254	7980.4
gamma-aminobutyric-acid receptor gamma-2 subunit precursor (gaba(a) receptor). [swissprot;acc:p18507]		582	7644.62	High confidence	1.13425	6739.82
		1898	8240.05	Low confidence	1.03254	7980.4
gamma-aminobutyric-acid receptor gamma-3 subunit precursor (gaba(a) receptor). [swissprot;acc:q99928]		577	7644.62	High confidence	1.13425	6739.81
		1896	8240.09	Low confidence	1.03254	7980.43
gamma-butyrobetaine,2-oxoglutarate dioxygenase (ec 1.14.11.1) (gamma-butyrobetaine hydroxylase) (gamma-bbh). [swissprot;acc:o75936]		1339	8381.53		1.03508	8097.5
		1348	6640.77	High confidence	1.07921	6153.36
gamma-glutamyltransferase-like activity 4; gamma-glutamyltranspeptidase-like. [refseq;acc:nm_080920]	0	838	0.00001	Low confidence	1	0.00001
	1	5030
gamma-glutamyltransferase. [sptrembl;acc:q14390]	0	841
	1	5053
gamma-glutamyltranspeptidase 1 precursor (ec 2.3.2.2) (gamma- glutamyltransferase 1) (cd224 antigen). [swissprot;acc:p19440]	0	842
	1	5054
gamma-glutamyltranspeptidase 2 (ec 2.3.2.2) (gamma-glutamyltransferase 2) (fragment). [swissprot;acc:p36268]	0	837
	1	5021
gamma-glutamyltranspeptidase 5 precursor (ec 2.3.2.2) (gamma- glutamyltransferase 5) (ggt-rel). [swissprot;acc:p36269]	0	843
	1	5055
gamma-interferon inducible lysosomal thiol reductase precursor (gamma-interferon-inducible protein ip-30). [swissprot;acc:p13284]		3101		High confidence
		4766	8337.89	Low confidence	1.01275	8232.92
gamma-sarcoglycan (gamma-sg) (35 kda dystrophin-associated glycoprotein) (35dag). [swissprot;acc:q13326]		741	6434.78	High confidence	1.11554	5768.32
		2151	8022.11	Low confidence	1.03162	7776.2
gamma-snap-associated factor 1; rab11-interacting protein. [refseq;acc:nm_015470]		1253	8222.82		1.03574	7939.04
		1450	6031.05	High confidence	1.07659	5602.01
gamma-soluble nsf attachment protein (snap-gamma) (n-ethylmaleimide- sensitive factor attachment protein, gamma). [swissprot;acc:q99747]		500	4093.05		1.1441	4682.87
		3057	8193.5	Low confidence	1.02784	7971.58
gamma-tubulin complex component 2 (gcp-2) (spindle pole body protein spc97 homolog) (hspc97) (hgcp2) (h103p). [swissprot;acc:q9bsj2]		3384	8266.31		1.02652	8052.79
gamma-tubulin complex component 3 (gcp-3) (spindle pole body protein spc98 homolog) (hspc98) (hgcp3) (h104p). [swissprot;acc:q96cw5]		3432	8248.53		1.02635	8036.77
gamma-tubulin complex component 5 (gcp-5). [swissprot;acc:q96rt8]		3108	8249.36		1.02761	8027.74
ganglioside induced differentiation associated protein 2; likely ortholog of mouse ganglioside-induced differentiation-associated-protein 2. [refseq;acc:nm_017686]	0	833	9357.07		1.0002	9355.21

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.