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