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