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.


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

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/