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