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

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/