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.


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