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