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 - Divided Values

Type II network, divided values. Interestingly most of the proteins in the first 100 positions in this table would occur in the divided ranks table between position 100 and 200, indicating a difference in emphasis between the two simulations but not in the overall function. The fully annotated table, include Ensembl gene identifiers and network values can be found in the supplementary data.


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 [...,...].
description Rank Gene Network Comparison Type Value Type Hugo Interaction Map red Filtered green network_comparison
Results: HTML CSV LaTeX Showing element 65324 to 65373 of 66312 in total
Filtered  : 1
description
Rank
Network Comparison Type
Value Type
Hugo
Interaction Map
red
green
network_comparison
zinc finger protein 304. [swissprot;acc:q9hcx3] 4216 Subtracted Rooted ZNF304 Low confidence 76.1821 78.0464 1.8643
4342 Divided 1.02447
4371 Measured 9143.34 9323.19 1.01967
4376 Ranked 197.793 195.963 1.00934
4395 Subtracted 1.83
zinc finger protein 305. [swissprot;acc:o43309] 870 ZSCAN12 High confidence 269.954 278.219 8.265
1065 Divided 1.03062
1278 Subtracted Squared Low confidence 46670.2 44672.3 1997.9
1323 Divided 1.04472
2480 Measured High confidence 3568.95 3676.56 1.03015
2545 Subtracted 107.61
2657 Divided Squared 17923.9 17435.6 1.02801
2668 Subtracted 488.3
2698 Divided Rooted 44.5858 44.4426 1.00322
2704 Subtracted 0.1432
4115 Divided Measured Low confidence 7962.38 8131.23 1.02121
4275 Subtracted 168.85
4451 Divided Rooted 70.8504 72.5146 1.02349
4472 Subtracted 1.6642
4848 Ranked 206.479 205.846 0.633
4850 Divided 1.00308
zinc finger protein 31. [refseq;acc:nm_145238] 1046 Subtracted Squared ZSCAN20 56615.7 54513.3 2102.4
2421 Divided 1.03857
4094 Subtracted Measured 9143.34 9323.19 179.85
4228 Rooted 76.1821 78.0464 1.8643
4358 Divided 1.02447
4387 Measured 9143.34 9323.19 1.01967
4389 Ranked 197.793 195.963 1.00934
4408 Subtracted 1.83
zinc finger protein 319. [swissprot;acc:q9p2f9] 1098 Squared ZNF319 56615.4 54513.2 2102.2
2460 Divided 1.03856
3988 Subtracted Measured 9143.32 9323.18 179.86
4184 Rooted 76.182 78.0463 1.8643
4303 Divided 1.02447
4330 Measured 9143.32 9323.18 1.01967
4431 Ranked 197.793 195.964 1.00933
4449 Subtracted 1.829
zinc finger protein 32 (zinc finger protein kox30) (fragment). [swissprot;acc:p17041] 1072 Squared no value 56615.5 54513.2 2102.3
2453 Divided 1.03856
3981 Subtracted Measured 9143.32 9323.18 179.86
4154 Rooted 76.182 78.0463 1.8643
4263 Divided 1.02447
4290 Measured 9143.32 9323.18 1.01967
4422 Ranked 197.793 195.964 1.00933
4440 Subtracted 1.829
zinc finger protein 324 (zinc finger protein zf5128). [swissprot;acc:o75467] 1060 Squared ZNF324 56615.6 54513.2 2102.4
2438 Divided 1.03857
4110 Subtracted Measured 9143.34 9323.19 179.85
4288 Rooted 76.1821 78.0463 1.8642
4379 Divided 1.02447

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.

- http://analysis.yellowcouch.org/