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 [...,...].
Gene description Rank Hugo measured final expected
Results: HTML CSV LaTeX Showing element 101 to 150 of 3206 in total
description  :
Rank
Hugo
measured
final
expected
751 C15orf44 0.0771387 0.264497005 0.291643
755 CCDC93 0.0328701 0.264139921 0.124442
767 RAB11FIP2 0.0355674 0.263639935 0.134909
784 no value 0.0378601 0.26256363 0.144194
792 TMCC2 0.0377474 0.262012813 0.144067
798 TMCC3 0.0312832 0.262012128 0.119396
808 TMCC1 0.0305282 0.2620109 0.116515
810 no value 0.117829 0.261549868 0.450503
812 NKAP 0.118571 0.261360731 0.453668
814 EXDL2 0.0395402 0.261355419 0.151289
823 TANC1 0.0385127 0.261276645 0.147402
837 SLC46A1 0.152414 0.260705654 0.584621
838 SLC46A3
847 no value 0.0410035 0.260622644 0.157329
862 PYROXD1 0.0441578 0.260292254 0.169647
879 ARRDC2 1.02292 0.260078513 3.93312
892 TMEM53 0.0770577 0.259877039 0.296516
896 PRPF38B 0.161768 0.259556388 0.623248
900 TEX9 0.0403612 0.259399081 0.155595
910 CCDC85A 0.233873 0.258064196 0.906259
912 SLC37A2 0.0349547 0.258034917 0.135465
942 C1orf121 0.0943614 0.256406396 0.368015
958 TIMM50 0.0783783 0.256286479 0.305823
963 C6orf32 0.0391646 0.25604137 0.152962
980 no value 0.32192 0.255279331 1.26105
986 HECW2 0.087747 0.255168242 0.343879
998 NUAK2 0.115392 0.254913613 0.452671
1000 ISOC2 0.143571 0.254911047 0.56322
1009 C20orf72 0.0413585 0.254565543 0.162467
1022 TBC1D10B 0.178897 0.25347022 0.705791
1043 TMEM87B 0.0327294 0.253264722 0.12923
1044 ASCC1 0.343832 0.253264585 1.3576
1045 TMEM87A 0.0425806 0.253264496 0.168127
1070 GMCL1 0.412942 0.252633447 1.63455
1073 EIF2AK4 0.832577 0.2522823 3.30018
1078 UBE2W 0.0349396 0.252262373 0.138505
1081 ZFAND1 0.0370737 0.252073432 0.147075
1087 RPAP3 0.189368 0.251777632 0.752124
1089 RSPH10B 0.113583 0.251628296 0.451392
1098 CCDC42 0.335885 0.251309351 1.33654
1103 THG1L 0.133213 0.251027 0.530672
1106 C2orf25 0.110645 0.250915606 0.440965
1110 WDR22 0.0381158 0.250864168 0.151938
1117 PAF1 0.116498 0.250814353 0.464479
1119 GTDC1 0.0385624 0.250799308 0.153758
1120 AGGF1 0.283453 0.250798974 1.1302
1144 TMEM132C 0.0559574 0.250245517 0.22361
1145 TMEM132D 0.0465063 0.250228942 0.185855
1146 TMEM132B 0.0452858 0.250225439 0.18098
1147 TMEM132E 0.0445191 0.250223981 0.177917

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/