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

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/