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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Gene description Rank expected final Hugo measured
Results: HTML CSV LaTeX Showing element 301 to 350 of 3206 in total
description  :
Rank
expected
final
Hugo
measured
2136 0.276021 0.227977219 BSCL2 0.0629265
2140 0.223943 0.227823598 KIAA1109 0.0510195
2141 0.0959445 0.227823377 ZC3H12C 0.0218584
2143 0.12412 0.227823074 ZC3H12A 0.0282774
2157 0.0622988 0.227245148 BPIL2 0.0141571
2165 1.31793 0.227087933 no value 0.299286
2188 0.84475 0.226362829 C12orf65 0.19122
2207 0.437657 0.225413966 SLC47A2 0.098654
2209 0.569623 0.225110292 SLC47A1 0.128228
2213 0.193087 0.225001683 LRRC48 0.0434449
2222 0.250658 0.224746068 MSRB2 0.0563344
2234 0.251434 0.224063969 SPATA20 0.0563373
2238 0.988036 0.223946293 no value 0.221267
2241 0.130208 0.223778109 KIAA1033 0.0291377
2250 0.41666 0.223177651 ZCCHC7 0.0929892
2254 0.138615 0.223055946 C7orf24 0.0309189
2257 0.389405 0.223055688 no value 0.086859
2261 0.138512 0.223055042 ATPAF1 0.0308958
2275 1.32025 0.2226904 no value 0.294007
2279 0.687157 0.222490639 GDPD3 0.152886
2283 0.846836 0.222409061 GDPD1 0.188344
2286 0.662751 0.222342931 MAP3K7IP3 0.147358
2306 1.14298 0.222191114 no value 0.25396
2310 0.939792 0.22204807 DCAKD 0.208679
2336 0.133775 0.22118632 C1orf50 0.0295892
2337 1.15814 0.221141658 D2HGDH 0.256113
2347 0.628094 0.220508395 no value 0.1385
2349 0.290417 0.220387925 PIH1D2 0.0640044
2350 0.22609 0.220387456 SLIT1 0.0498274
2374 0.234495 0.220048615 TSEN2 0.0516003
2377 1.23303 0.219898137 RIC8A 0.271141
2378 1.01863 0.219878661 RIC8B 0.223975
2381 0.940952 0.219694522 USP52 0.206722
2385 0.127549 0.219694392 C14orf153 0.0280218
2387 URM1
2395 0.416755 0.219349018 MARS2 0.0914148
2400 0.460869 0.219053571 NSUN2 0.100955
2408 0.845209 0.218735248 APIP 0.184877
2409 0.514239 0.218734868 no value 0.112482
2410 0.111754 0.218452136 VPS8 0.0244129
2413 0.141189 0.218349163 no value 0.030828500000000002
2432 0.452567 0.217417532 THNSL1 0.098396
2433 0.884993 0.217269515 IMMP1L 0.192282
2436 0.159272 0.2172692 SETD3 0.0346049
2444 0.536227 0.217096491 C7orf20 0.116413
2445 0.14496 0.21709644 UBL4B 0.0314703
2450 0.808504 0.216890702 HDHD3 0.175357
2454 1.28369 0.216857653 REXO1 0.278378
2458 2.60988 0.21671801 OXSM 0.565608
2459 0.125575 0.21671511 C20orf80 0.027214

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/