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

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/