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