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