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