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

Results: HTML CSV LaTeX

Showing element 523 to 572 of 66312 in total

Filtered  : 1

description	Rank	Hugo	Value Type	Network Comparison Type	Interaction Map	red	green	network_comparison
26s proteasome non-atpase regulatory subunit 11 (26s proteasome regulatory subunit s9) (26s proteasome regulatory subunit p44.5). [swissprot;acc:o00231]	1278	PSMD11	Squared	Subtracted	High confidence	26736.9	29677.3	2940.4
	1282		Rooted		Low confidence	74.0544	76.7559	2.7015
	1508			Divided				1.03648
	1586		Squared		High confidence	26736.9	29677.3	1.10998
	1592		Measured			5853.1	6271.79	1.07153
	1634			Subtracted				418.69
	2016		Rooted			62.2803	63.9816	1.7013
	2026			Divided				1.02732
	2174		Ranked		Low confidence	197.69	193.995	1.01905
	2274			Subtracted				3.695
	2353				High confidence	217.589	218.475	0.886
	2367			Divided				1.00407
	4818		Squared	Subtracted	Low confidence	47846.2	47445.6	400.6
	4838			Divided				1.00844
26s proteasome non-atpase regulatory subunit 12 (26s proteasome regulatory subunit p55). [swissprot;acc:o00232]	933	no value	Measured	Subtracted		8358.82	8671.34	312.52
	1073			Divided				1.03739
	1248		Squared	Subtracted	High confidence	26551.2	29539	2987.8
	1541			Divided				1.11253
	1579		Measured			5842.44	6261.87	1.07179
	1633			Subtracted				419.43
	2042		Rooted			62.309	63.9809	1.6719
	2045			Divided				1.02683
	2154			Subtracted	Low confidence	73.7276	76.2257	2.4981
	2300		Ranked		High confidence	217.241	218.311	1.07
	2316			Divided				1.00493
	2398		Rooted		Low confidence	73.7276	76.2257	1.03388
	3393		Ranked			198.522	195.526	1.01532
	3428			Subtracted				2.996
	4889		Squared			48009.9	47728.1	281.8
	4914			Divided				1.0059
26s proteasome non-atpase regulatory subunit 13 (26s proteasome regulatory subunit s11) (26s proteasome regulatory subunit p40.5). [swissprot;acc:q9unm6]	1265	PSMD13		Subtracted	High confidence	26688.8	29658.6	2969.8
	1570			Divided				1.11128
	1585		Measured			5858.48	6278.32	1.07166
	1632			Subtracted				419.84
	1795				Low confidence	8126.5	8388.54	262.04
	1982			Divided				1.03225
	2033		Rooted	Subtracted	High confidence	62.382	64.07	1.688
	2038			Divided				1.02706
	2324		Ranked	Subtracted		217.112	218.116	1.004
	2329			Divided				1.00462
	2363		Rooted	Subtracted	Low confidence	72.5927	75.0454	2.4527
	2429			Divided				1.03379
	2798		Ranked			200.64	197.228	1.0173
	2828			Subtracted				3.412
	4046		Squared			46320.5	45129.7	1190.8
	4156			Divided				1.02639
26s proteasome non-atpase regulatory subunit 2 (26s proteasome regulatory subunit s2) (26s proteasome subunit p97) (tumor necrosis factor type 1 receptor associated protein 2) (55.11 protein). [swissprot;acc:q13200]	986	PSMD2	Measured	Subtracted	High confidence	6436.19	6980.13	543.94
	1014		Squared			30653.9	34111.1	3457.2
	1241		Measured	Divided		6436.19	6980.13	1.08451
	1331		Rooted	Subtracted		65.478	68.0886	2.6106

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.