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 expected final Rank Gene measured Hugo
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
description  :
expected
final
Rank
measured
Hugo
0.7865 0.000219976 3206 0.000173011 no value
0.0622988 0.227245148 2157 0.0141571 BPIL2
0.0681463 0.23959628 1623 0.0163276 ARHGAP10
0.0821011 0.231320896 1950 0.0189917 ESF1
0.0842002 0.231217978 1963 0.0194686 MED11
0.0847765 0.232183447 1907 0.0196837 LTV1
0.0901539 0.237039108 1731 0.02137 no value
0.0936986 0.274303992 485 0.0257019 CHCHD3
0.0940277 0.212890457 2598 0.0200176 HHATL
0.0959445 0.227823377 2141 0.0218584 ZC3H12C
0.0977138 0.214613494 2543 0.0209707 FAM86C
0.0999171 0.246000935 1286 0.0245797 ISCA1
0.101375 0.214614057 2541 0.0217565 no value
0.101818 0.23111827 1975 0.023532 DAGLA
0.104721 0.036862138 3199 0.00386024 CHMP2B
0.104981 0.23171431 1931 0.0243256 FAM98B
0.105024 0.243470064 1443 0.0255702 COQ2
0.105559 0.242523139 1511 0.0256005 NGDN
0.106779 0.228174079 2116 0.0243642 DPY19L2P2
0.107847 0.237869389 1695 0.0256535 SLC25A31
0.108089 0.233430784 1857 0.0252313 FCF1
0.111754 0.218452136 2410 0.0244129 VPS8
0.112542 0.228173482 2118 0.0256791 DPY19L1
0.114733 0.233540481 1840 0.0267948 C18orf22
0.11537 0.23902401 1647 0.0275762 no value
0.116515 0.2620109 808 0.0305282 TMCC1
0.117481 0.209997361 2640 0.0246707 AARSD1
0.117581 0.233450983 1854 0.0274494 no value
0.119396 0.262012128 798 0.0312832 TMCC3
0.120084 0.209232704 2673 0.0251255 NFASC
0.120529 0.23171353 1933 0.0279282 FAM98A
0.120575 0.265147004 707 0.0319701 RCOR2
0.122644 0.232772088 1881 0.0285481 MARCH1
0.122748 0.279206179 373 0.034272 no value
0.122785 0.205329641 2738 0.0252114 TMEM64
0.12412 0.227823074 2143 0.0282774 ZC3H12A
0.124442 0.264139921 755 0.0328701 CCDC93
0.125575 0.21671511 2459 0.027214 C20orf80
0.125634 0.274303135 490 0.0344618 CHCHD6
492 no value
0.126112 0.24714143 1262 0.0311675 SHQ1
0.126477 0.229715284 2054 0.0290537 COQ10B
0.126946 0.242974966 1481 0.0308447 no value
0.127356 0.214613367 2545 0.0273323 FAM86B2
0.127549 0.219694392 2385 0.0280218 C14orf153
2387 URM1
0.128294 0.230743449 2002 0.029603 no value
0.12923 0.253264722 1043 0.0327294 TMEM87B
0.129562 0.243894815 1422 0.0315995 PCID2
0.130208 0.223778109 2241 0.0291377 KIAA1033

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/