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 expected Rank final Hugo Gene measured
Results: HTML CSV LaTeX Showing element 51 to 100 of 3206 in total
description  :
expected
Rank
final
Hugo
measured
0.130757 2112 0.228175929 DPY19L2 0.0298356
0.13229 540 0.271077935 LRRC4B 0.0358609
0.132897 396 0.278604483 TSR2 0.0370257
0.133775 2336 0.22118632 C1orf50 0.0295892
0.134819 1863 0.233268308 DOLK 0.031449
0.134909 767 0.263639935 RAB11FIP2 0.0355674
0.135465 912 0.258034917 SLC37A2 0.0349547
0.135679 708 0.265146412 RCOR3 0.0359748
0.135742 450 0.27604426 ISY1 0.0374708
0.136317 1930 0.231714313 CWF19L2 0.0315866
0.13696 2088 0.228716414 no value 0.031325
0.137326 2056 0.229714694 COQ10A 0.0315458
0.137332 1259 0.247332741 AQR 0.0339667
0.138505 1078 0.252262373 UBE2W 0.0349396
0.138512 418 0.277371636 C8orf79 0.0384193
2261 0.223055042 ATPAF1 0.0308958
0.138615 2254 0.223055946 C7orf24 0.0309189
0.139564 2905 0.174142329 PLEKHG2 0.024304
0.139616 377 0.279136345 CCDC12 0.0389719
0.139829 343 0.283913208 C16orf57 0.0396993
0.140652 1671 0.238773 MIER2 0.0335839
0.14113 1670 0.238773471 MIER3 0.0336981
0.141189 2413 0.218349163 no value 0.030828500000000002
0.142004 2026 0.230298442 C3orf23 0.0327033
0.142049 1853 0.233451133 no value 0.0331615
0.142608 2107 0.228322394 FBXO42 0.0325606
0.143261 456 0.275611646 ZMAT2 0.0394844
0.143472 424 0.277370497 ARHGAP23 0.0397949
0.144067 792 0.262012813 TMCC2 0.0377474
0.144194 784 0.26256363 no value 0.0378601
0.144696 290 0.301809311 NXNL1 0.0436706
0.14496 2445 0.21709644 UBL4B 0.0314703
0.145821 741 0.264498255 ZCCHC8 0.0385694
743 HSDL2
0.146476 502 0.274068789 CDV3 0.0401445
0.147075 1081 0.252073432 ZFAND1 0.0370737
0.147402 823 0.261276645 TANC1 0.0385127
0.151058 357 0.281454805 no value 0.042516
0.151289 814 0.261355419 EXDL2 0.0395402
0.1519 2723 0.206548387 no value 0.0313747
0.151938 1110 0.250864168 WDR22 0.0381158
0.152962 963 0.25604137 C6orf32 0.0391646
0.153758 1119 0.250799308 GTDC1 0.0385624
0.154846 644 0.268129626 no value 0.0415188
0.15506 153 0.351265962 CCDC95 0.0544673
0.155349 1192 0.24860218 ATP13A4 0.0386201
0.155451 2556 0.214313835 C1orf26 0.0333153
0.155504 2990 0.135336712 HS3ST4 0.0210454
0.155511 2461 0.216714573 RPAP1 0.0337015
0.155595 900 0.259399081 TEX9 0.0403612

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/