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