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 1 to 50 of 3206 in total
description  :
Rank
measured
expected
final
Hugo
3206 0.000173011 0.7865 0.000219976 no value
4 3.66001 3.3348 1.097520091
17 0.0856348 0.180231 0.475139127
18 0.0773877 0.162874 0.475138451 FAM49B
24 0.229891 0.5 0.459782 CNOT10
55 0.231369 0.562729 0.411155281 no value
76 0.212647 0.523598 0.406126456 C22orf9
77 0.0637106 0.156874 0.406125935 ABLIM3
87 0.113929 0.295729 0.38524798 PLEKHG6
89 0.152828 0.396725 0.385224022 no value
91 SHROOM4
92 0.914796 2.37847 0.38461532 no value
112 0.0828978 0.229439 0.361306491 C11orf56
125 0.557991 1.56247 0.357121097 C9orf41
148 0.474383 1.35049 0.351267318 FKBP15
153 0.0544673 0.15506 0.351265962 CCDC95
154 0.145659 0.414669 0.351265708 C11orf60
156 0.205566 0.585616 0.351025245 DTX4
170 0.0714655 0.210056 0.340221179 EPC2
186 0.185143 0.561582 0.329681151 KCTD9
221 0.535221 1.68161 0.318278911 B9D2
238 0.887185 2.82668 0.313861137 BTF3L4
251 0.743299 2.38318 0.311893772 no value
254 0.604572 1.93876 0.311834368 NACAD
262 0.0556846 0.180466 0.308560061 no value
267 0.152054 0.494121 0.307726245
273 0.0542439 0.177846 0.305004892 TRMT6
274 0.316909 1.03903 0.305004668 C14orf172
289 0.054901 0.181906 0.301809726 C10orf58
290 0.0436706 0.144696 0.301809311 NXNL1
295 0.310048 1.02794 0.301620717 EFHC2
302 0.515003 1.71949 0.299509157 ATG16L1
305 0.329649 1.10466 0.298416707 ATG16L2
309 0.0503334 0.170278 0.295595438 RBM42
321 0.102544 0.354268 0.289453182 KY
323 0.176498 0.613112 0.287872363 THOC7
343 0.0396993 0.139829 0.283913208 C16orf57
347 0.135144 0.478436 0.282470383 no value
350 0.116954 0.41404 0.282470293 MAPKBP1
356 0.0483186 0.171674 0.281455549 no value
357 0.042516 0.151058 0.281454805
373 0.034272 0.122748 0.279206179
377 0.0389719 0.139616 0.279136345 CCDC12
381 0.0666911 0.23892 0.279135694 CAPSL
391 0.368426 1.32182 0.278726302 FNBP1L
396 0.0370257 0.132897 0.278604483 TSR2
406 0.0546138 0.196275 0.278251433 MOSC1
407 MOSC2
411 0.356784 1.28488 0.277678849 no value
413 0.197804 0.712745 0.27752422 CCDC49

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/