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