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