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