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 Gene expected Hugo measured Rank final
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
description  :
expected
Hugo
measured
Rank
final
0.7865 no value 0.000173011 3206 0.000219976
0.0622988 BPIL2 0.0141571 2157 0.227245148
0.0681463 ARHGAP10 0.0163276 1623 0.23959628
0.0821011 ESF1 0.0189917 1950 0.231320896
0.0842002 MED11 0.0194686 1963 0.231217978
0.0847765 LTV1 0.0196837 1907 0.232183447
0.0901539 no value 0.02137 1731 0.237039108
0.0936986 CHCHD3 0.0257019 485 0.274303992
0.0940277 HHATL 0.0200176 2598 0.212890457
0.0959445 ZC3H12C 0.0218584 2141 0.227823377
0.0977138 FAM86C 0.0209707 2543 0.214613494
0.0999171 ISCA1 0.0245797 1286 0.246000935
0.101375 no value 0.0217565 2541 0.214614057
0.101818 DAGLA 0.023532 1975 0.23111827
0.104721 CHMP2B 0.00386024 3199 0.036862138
0.104981 FAM98B 0.0243256 1931 0.23171431
0.105024 COQ2 0.0255702 1443 0.243470064
0.105559 NGDN 0.0256005 1511 0.242523139
0.106779 DPY19L2P2 0.0243642 2116 0.228174079
0.107847 SLC25A31 0.0256535 1695 0.237869389
0.108089 FCF1 0.0252313 1857 0.233430784
0.111754 VPS8 0.0244129 2410 0.218452136
0.112542 DPY19L1 0.0256791 2118 0.228173482
0.114733 C18orf22 0.0267948 1840 0.233540481
0.11537 no value 0.0275762 1647 0.23902401
0.116515 TMCC1 0.0305282 808 0.2620109
0.117481 AARSD1 0.0246707 2640 0.209997361
0.117581 no value 0.0274494 1854 0.233450983
0.119396 TMCC3 0.0312832 798 0.262012128
0.120084 NFASC 0.0251255 2673 0.209232704
0.120529 FAM98A 0.0279282 1933 0.23171353
0.120575 RCOR2 0.0319701 707 0.265147004
0.122644 MARCH1 0.0285481 1881 0.232772088
0.122748 no value 0.034272 373 0.279206179
0.122785 TMEM64 0.0252114 2738 0.205329641
0.12412 ZC3H12A 0.0282774 2143 0.227823074
0.124442 CCDC93 0.0328701 755 0.264139921
0.125575 C20orf80 0.027214 2459 0.21671511
0.125634 no value 0.0344618 492 0.274303135
CHCHD6 490
0.126112 SHQ1 0.0311675 1262 0.24714143
0.126477 COQ10B 0.0290537 2054 0.229715284
0.126946 no value 0.0308447 1481 0.242974966
0.127356 FAM86B2 0.0273323 2545 0.214613367
0.127549 C14orf153 0.0280218 2385 0.219694392
URM1 2387
0.128294 no value 0.029603 2002 0.230743449
0.12923 TMEM87B 0.0327294 1043 0.253264722
0.129562 PCID2 0.0315995 1422 0.243894815
0.130208 KIAA1033 0.0291377 2241 0.223778109

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/