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 Gene measured expected final Hugo
Results: HTML CSV LaTeX Showing element 252 to 301 of 3206 in total
description  :
Rank
measured
expected
final
Hugo
1825 0.341137 1.45621 0.234263602 RFK
1831 0.263169 1.12425 0.234084056 TSR1
1837 0.0766245 0.327833 0.233730283 C8orf53
1838 0.0910964 0.38998 0.233592492 MTHFD1L
1840 0.0267948 0.114733 0.233540481 C18orf22
1853 0.0331615 0.142049 0.233451133 no value
1854 0.0274494 0.117581 0.233450983
1857 0.0252313 0.108089 0.233430784 FCF1
1859 0.111248 0.476584 0.233427895 GTPBP8
1860 0.107268 0.459557 0.233416094 POLR3GL
1863 0.031449 0.134819 0.233268308 DOLK
1881 0.0285481 0.122644 0.232772088 MARCH1
1902 0.549308 2.36366 0.232397214 no value
1907 0.0196837 0.0847765 0.232183447 LTV1
1928 0.704795 3.04081 0.231778704 no value
1930 0.0315866 0.136317 0.231714313 CWF19L2
1931 0.0243256 0.104981 0.23171431 FAM98B
1933 0.0279282 0.120529 0.23171353 FAM98A
1938 0.394428 1.70248 0.231678493 GUF1
1941 0.0589414 0.254478 0.231616878 IARS2
1950 0.0189917 0.0821011 0.231320896 ESF1
1963 0.0194686 0.0842002 0.231217978 MED11
1975 0.023532 0.101818 0.23111827 DAGLA
1994 0.22609 0.979382 0.230849658 DOHH
2002 0.029603 0.128294 0.230743449 no value
2003 0.0937028 0.406091 0.230743356 TXNDC10
2022 0.123498 0.535804 0.230491 C11orf79
2026 0.0327033 0.142004 0.230298442 C3orf23
2027 0.0370628 0.160934 0.230298135 SIN3B
2032 0.116403 0.505621 0.23021789 no value
2034 0.473995 2.05907 0.230198585 PUS3
2035 0.0841705 0.365653 0.230192286 DARS2
2054 0.0290537 0.126477 0.229715284 COQ10B
2056 0.0315458 0.137326 0.229714694 COQ10A
2057 0.130459 0.567954 0.22969994 TKTL2
2064 0.134261 0.584848 0.229565631 GPD1L
2069 0.0584321 0.25466 0.229451425 ZCCHC4
2081 0.0966625 0.421972 0.229073256 C6orf153
2088 0.031325 0.13696 0.228716414 no value
2094 0.282831 1.23673 0.228692601
2102 0.0653467 0.286165 0.228353223 INTS8
2103 0.0653647 0.286244 0.228353083 GON4L
2107 0.0325606 0.142608 0.228322394 FBXO42
2108 0.0651212 0.285217 0.228321594 PUS7
2112 0.0298356 0.130757 0.228175929 DPY19L2
2116 0.0243642 0.106779 0.228174079 DPY19L2P2
2118 0.0256791 0.112542 0.228173482 DPY19L1
2123 0.0476698 0.208966 0.228122278 TCP11L2
2125 0.038682 0.169567 0.228122217 TCP11L1
2136 0.0629265 0.276021 0.227977219 BSCL2

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/