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