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 Network Type I Analysis

Type 1 network in which we propagated the absolute log regulation ratio abs(log(r/g)). We used the filtered lowest boundary of the confidence interval for the microarray measurement based and used the high confidence interaction map. Because type-I networks tend to favour highly connected proteins we tested a normalisation scheme in which we would run the network once with real values (the measured column) and once with simulated values where each measured point is set to 1 instead of the actual signal (the expected column). Afterwards we divided the measured value by the expected value. This normalisation scheme works to a certain extend but will lead to a variance that is directly related to the connectivity of each protein. In the end we dropped the use of Type-I networks due to the many technical problems they pose.


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 measured Hugo final Gene Rank expected
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
description  :
measured
Hugo
final
Rank
expected
0.000173011 no value 0.000219976 3206 0.7865
0.000571223 C1orf166 3205 2.59675
0.00386024 CHMP2B 0.036862138 3199 0.104721
0.0141571 BPIL2 0.227245148 2157 0.0622988
0.0163276 ARHGAP10 0.23959628 1623 0.0681463
0.0184372 C6orf130 0.055311655 3176 0.333333
NIPA2 3175
0.0189917 ESF1 0.231320896 1950 0.0821011
0.0194686 MED11 0.231217978 1963 0.0842002
0.0196837 LTV1 0.232183447 1907 0.0847765
0.0200176 HHATL 0.212890457 2598 0.0940277
0.0209707 FAM86C 0.214613494 2543 0.0977138
0.0210454 HS3ST4 0.135336712 2990 0.155504
0.02137 no value 0.237039108 1731 0.0901539
0.0217565 0.214614057 2541 0.101375
0.0218584 ZC3H12C 0.227823377 2141 0.0959445
0.023532 DAGLA 0.23111827 1975 0.101818
0.0239451 CHMP4C 0.036862264 3194 0.649583
0.024304 PLEKHG2 0.174142329 2905 0.139564
0.0243256 FAM98B 0.23171431 1931 0.104981
0.0243642 DPY19L2P2 0.228174079 2116 0.106779
0.0244129 VPS8 0.218452136 2410 0.111754
0.0245797 ISCA1 0.246000935 1286 0.0999171
0.0246707 AARSD1 0.209997361 2640 0.117481
0.0251255 NFASC 0.209232704 2673 0.120084
0.0252114 TMEM64 0.205329641 2738 0.122785
0.0252313 FCF1 0.233430784 1857 0.108089
0.0255702 COQ2 0.243470064 1443 0.105024
0.0256005 NGDN 0.242523139 1511 0.105559
0.0256535 SLC25A31 0.237869389 1695 0.107847
0.0256791 DPY19L1 0.228173482 2118 0.112542
0.0257019 CHCHD3 0.274303992 485 0.0936986
0.0267948 C18orf22 0.233540481 1840 0.114733
0.027214 C20orf80 0.21671511 2459 0.125575
0.0273323 FAM86B2 0.214613367 2545 0.127356
0.0274494 no value 0.233450983 1854 0.117581
0.0275762 0.23902401 1647 0.11537
0.0279282 FAM98A 0.23171353 1933 0.120529
0.0280218 C14orf153 0.219694392 2385 0.127549
URM1 2387
0.0282774 ZC3H12A 0.227823074 2143 0.12412
0.0285481 MARCH1 0.232772088 1881 0.122644
0.0290537 COQ10B 0.229715284 2054 0.126477
0.0291377 KIAA1033 0.223778109 2241 0.130208
0.0295892 C1orf50 0.22118632 2336 0.133775
0.029603 no value 0.230743449 2002 0.128294
0.0298356 DPY19L2 0.228175929 2112 0.130757
0.0305282 TMCC1 0.2620109 808 0.116515
0.0307477 ORAI1 0.188941052 2860 0.162737
0.030828500000000002 no value 0.218349163 2413 0.141189

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 bloody hugo identifier as demanded by the BMC Bioinformatics idiots

- http://analysis.yellowcouch.org/