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

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/