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

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/