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

Results: HTML CSV LaTeX

Showing element 562 to 611 of 16578 in total

Value Type  : Ranked
Filtered  : 1

description	Rank	Network Comparison Type	Hugo	Interaction Map	red	network_comparison	green
60s ribosomal protein l15. [swissprot;acc:p39030]	4877	Divided	RPL15	Low confidence	202.236	1.00259	201.713
60s ribosomal protein l17 (l23). [swissprot;acc:p18621]	200	Subtracted	no value	High confidence	241.808	25.527	267.335
	281	Divided				1.10557
	4169	Subtracted		Low confidence	206.899	2.088	208.987
	4212	Divided				1.01009
60s ribosomal protein l18. [swissprot;acc:q07020]	411	Subtracted	RPL18	High confidence	237.109	17.558	254.667
	485	Divided				1.07405
	4192	Subtracted		Low confidence	205.452	2.061	203.391
	4209	Divided				1.01013
60s ribosomal protein l18a. [swissprot;acc:q02543]	819	Subtracted	no value	High confidence	234.025	9.067	224.958
	860	Divided				1.04031
	1988	Subtracted		Low confidence	201.763	3.844	197.919
	2022	Divided				1.01942
60s ribosomal protein l19. [swissprot;acc:p14118]	245	Subtracted	RPL19	High confidence	240.73	23.999	264.729
	319	Divided				1.09969
	4565	Subtracted		Low confidence	206.719	1.57	208.289
	4578	Divided				1.00759
60s ribosomal protein l21. [swissprot;acc:p46778]	1019	Subtracted	no value	High confidence	223.958	6.695	217.263
	1054	Divided				1.03082
	4501			Low confidence	198.901	1.00867	197.192
	4508	Subtracted				1.709
60s ribosomal protein l22 (epstein-barr virus small rna associated protein) (eber associated protein) (eap) (heparin binding protein hbp15). [swissprot;acc:p35268]	2205	Divided		High confidence	199.129	1.00645	200.413
	2229	Subtracted				1.284
	4590			Low confidence	204.498	1.476	203.022
	4593	Divided				1.00727
60s ribosomal protein l23 (l17). [swissprot;acc:p23131]	208	Subtracted		High confidence	240.782	24.935	265.717
	293	Divided				1.10356
	4670	Subtracted		Low confidence	205.529	1.192	206.721
	4684	Divided				1.0058
60s ribosomal protein l23a. [swissprot;acc:p29316]	243	Subtracted		High confidence	241.884	24.061	265.945
	323	Divided				1.09947
	4107	Subtracted		Low confidence	207.351	2.16	209.511
	4167	Divided				1.01042
60s ribosomal protein l24 (l30). [swissprot;acc:p38663]	1767		RPL24	High confidence	201.288	1.01221	198.86
	1821	Subtracted				2.428
	3900			Low confidence	203.414	2.517	200.897
	3921	Divided				1.01253
60s ribosomal protein l26. [swissprot;acc:q02877]	217	Subtracted	RPL26	High confidence	242.326	24.682	267.008
	302	Divided				1.10185
	4489	Subtracted		Low confidence	207.061	1.776	208.837
	4505	Divided				1.00858
60s ribosomal protein l27. [swissprot;acc:p08526]	197		RPL27		211.912	1.05138	201.556
	198	Subtracted				10.356
60s ribosomal protein l28. [swissprot;acc:p46779]	1868		RPL28	High confidence	215.896	2.286	213.61
	1882	Divided				1.0107
	2654	Subtracted		Low confidence	203.065	3.489	199.576
	2733	Divided				1.01748
60s ribosomal protein l29 (cell surface heparin binding protein hip). [swissprot;acc:p47914]	159	Subtracted	RPL29		216.79	11.72	205.07
	169	Divided				1.05715
	2664			High confidence	204.768	1.00107	204.549

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
- Hugo is the HGNC identifier if it exists
- 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.