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