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

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/