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 measured Gene expected final Hugo
Results: HTML CSV LaTeX Showing element 51 to 100 of 3206 in total
description  :
Rank
measured
expected
final
Hugo
418 0.0384193 0.138512 0.277371636 C8orf79
424 0.0397949 0.143472 0.277370497 ARHGAP23
446 0.260039 0.939933 0.276656953 NPLOC4
448 0.141581 0.511852 0.276605347 SEC16A
449 0.0621484 0.224949 0.276277734 TSNARE1
450 0.0374708 0.135742 0.27604426 ISY1
456 0.0394844 0.143261 0.275611646 ZMAT2
485 0.0257019 0.0936986 0.274303992 CHCHD3
490 0.0344618 0.125634 0.274303135 CHCHD6
492 no value
497 0.25596 0.9333 0.274252652 R3HDM2
498 0.236585 0.862726 0.274229593 no value
502 0.0401445 0.146476 0.274068789 CDV3
510 0.250323 0.914445 0.27374309 KIAA1217
516 0.0480412 0.176368 0.272391817 METT10D
517 0.313715 1.15171 0.272390619 UBAP2L
530 0.260139 0.957852 0.271585798 RBM24
539 0.0778103 0.28704 0.271078247 SRBD1
540 0.0358609 0.13229 0.271077935 LRRC4B
543 0.0431799 0.15929 0.27107728 LRRC4C
562 1.06428 3.92996 0.270811917 RAD54L2
563 0.230346 0.850576 0.270811779 BTBD9
567 0.136702 0.504965 0.270715792 DHRS7B
571 0.0726249 0.268301 0.270684418 KSR2
578 0.565201 2.09213 0.270155774 IRF2BP2
579 0.483254 1.78896 0.270131249 C14orf4
589 0.393043 1.45917 0.269360664 PGM2L1
593 0.460943 1.71147 0.269325784 PGM2
601 0.0700114 0.260164 0.269104872 ZNF503
602 0.0897926 0.333672 0.26910439 ZNF703
625 0.102776 0.383122 0.268259197 CYP4F22
626 0.0869771 0.324228 0.268259065 no value
639 0.116093 0.432823 0.268222807 C18orf55
644 0.0415188 0.154846 0.268129626 no value
652 0.170567 0.63684 0.267833365 ZMIZ2
669 0.11907 0.44632 0.266781681 RSRC2
670 0.167849 0.629342 0.266705543 USP30
672 0.0436424 0.163636 0.266704148 no value
673 0.105333 0.394979 0.266680001 SFT2D3
687 0.0814182 0.306494 0.265643699 SIPA1L2
692 0.0644285 0.242538 0.26564291 SIPA1L3
699 0.160096 0.603029 0.265486403 USP47
706 0.220284 0.830799 0.265147166 AOF2
707 0.0319701 0.120575 0.265147004 RCOR2
708 0.0359748 0.135679 0.265146412 RCOR3
719 0.424703 1.60405 0.264769178 ARPC5L
741 0.0385694 0.145821 0.264498255 ZCCHC8
743 HSDL2
744 0.10892 0.411799 0.264497971 INTS10
747 0.192847 0.729107 0.264497529 CLUAP1

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/