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

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/