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 measured expected Gene Rank final Hugo
Results: HTML CSV LaTeX Showing element 51 to 100 of 3206 in total
description  :
measured
expected
Rank
final
Hugo
0.0308447 0.126946 1481 0.242974966 no value
0.03085 0.163279 2867 0.188940403 ORAI2
0.0308958 0.138512 2261 0.223055042 ATPAF1
0.0309189 0.138615 2254 0.223055946 C7orf24
0.0311675 0.126112 1262 0.24714143 SHQ1
0.0312832 0.119396 798 0.262012128 TMCC3
0.031325 0.13696 2088 0.228716414 no value
0.0313747 0.1519 2723 0.206548387
0.031449 0.134819 1863 0.233268308 DOLK
0.0314703 0.14496 2445 0.21709644 UBL4B
0.0315458 0.137326 2056 0.229714694 COQ10A
0.031557 0.85608 3196 0.036862209 CHMP4B
0.0315866 0.136317 1930 0.231714313 CWF19L2
0.0315995 0.129562 1422 0.243894815 PCID2
0.0319701 0.120575 707 0.265147004 RCOR2
0.0325023 0.266776 3013 0.121833673 FRY
0.0325606 0.142608 2107 0.228322394 FBXO42
0.0326222 0.187331 2908 0.174142027 SAP30L
0.0327033 0.142004 2026 0.230298442 C3orf23
0.0327294 0.12923 1043 0.253264722 TMEM87B
0.0328701 0.124442 755 0.264139921 CCDC93
0.0331615 0.142049 1853 0.233451133 no value
0.0333153 0.155451 2556 0.214313835 C1orf26
0.0335839 0.140652 1671 0.238773 MIER2
0.0336981 0.14113 1670 0.238773471 MIER3
0.0337015 0.155511 2461 0.216714573 RPAP1
0.0339667 0.137332 1259 0.247332741 AQR
0.034272 0.122748 373 0.279206179 no value
0.0343037 0.159725 2511 0.214767256 C20orf42
0.0344618 0.125634 490 0.274303135 CHCHD6
492 no value
0.0346049 0.159272 2436 0.2172692 SETD3
0.0349396 0.138505 1078 0.252262373 UBE2W
0.0349547 0.135465 912 0.258034917 SLC37A2
0.0355674 0.134909 767 0.263639935 RAB11FIP2
0.0358609 0.13229 540 0.271077935 LRRC4B
0.0359748 0.135679 708 0.265146412 RCOR3
0.0365299 0.353982 3070 0.103197055 C1orf156
0.0370257 0.132897 396 0.278604483 TSR2
0.0370628 0.160934 2027 0.230298135 SIN3B
0.0370737 0.147075 1081 0.252073432 ZFAND1
0.0371369 0.196598 2872 0.188897649 no value
0.0372023 0.196899 2863 0.188941031 ORAI3
0.0374708 0.135742 450 0.27604426 ISY1
0.0377474 0.144067 792 0.262012813 TMCC2
0.0378601 0.144194 784 0.26256363 no value
0.0381158 0.151938 1110 0.250864168 WDR22
0.038359 0.163741 1823 0.234266311 no value
0.0384193 0.138512 418 0.277371636 C8orf79
0.038432 0.157255 1392 0.244392865 WDR82

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/