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 Gene final Hugo expected Rank measured
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
description  :
final
Hugo
expected
Rank
measured
0.000219976 no value 0.7865 3206 0.000173011
C1orf166 2.59675 3205 0.000571223
0.036862138 CHMP2B 0.104721 3199 0.00386024
0.036862209 CHMP4B 0.85608 3196 0.031557
0.036862264 CHMP4C 0.649583 3194 0.0239451
0.037314982 FIBCD1 1.34852 3191 0.05032
0.04678744 CCDC104 1.01816 3185 0.0476371
0.049410892 PYCRL 1.32794 3184 0.0656147
0.055311655 C6orf130 0.333333 3176 0.0184372
NIPA2 3175
0.06471012 C5orf33 11.3823 3167 0.73655
0.065381433 MAGEB18 1.00804 3154 0.0659071
0.065381739 NSMCE4A 25.135 3139 1.64337
0.065381917 MAGEB10 1.01213 3136 0.066175
0.068499242 CC2D1A 1.29368 3129 0.0886161
0.088193051 C1orf14 0.634694 3119 0.0559756
0.097635809 METTL2A 0.498014 3091 0.048624
TM4SF19 3089
0.097635972 FAM20A 0.397415 3087 0.038802
0.103197055 C1orf156 0.353982 3070 0.0365299
0.103197093 no value 0.517345 3069 0.0533885
0.117651073 UBE2E2 1.62653 3032 0.191363
0.117651086 PTCD1 1.09557 3031 0.128895
0.121833673 FRY 0.266776 3013 0.0325023
0.125273906 SEPT11 1.08705 3007 0.136179
0.12785257 C1orf164 1.33704 3002 0.170944
0.135336712 HS3ST4 0.155504 2990 0.0210454
0.138195 C9orf68 1 2987 0.138195
0.139559153 MTERFD1 0.285269 2981 0.0398119
0.141551046 RIBC2 0.735452 2970 0.104104
0.146165148 FRMPD4 0.689453 2959 0.100774
0.152530807 SLC30A9 0.679961 2945 0.103715
0.157068631 VPS37B 0.682084 2938 0.107134
0.157207261 VPS37C 0.529029 2936 0.0831672
0.167353852 NUP93 0.704322 2925 0.117871
0.174141808 ANKS6 0.241467 2911 0.0420495
0.174142027 SAP30L 0.187331 2908 0.0326222
0.174142084 TMEM55A 0.332958 2907 0.057982
0.174142329 PLEKHG2 0.139564 2905 0.024304
0.175384941 LASS5 0.822334 2893 0.144225
0.178353445 SPTY2D1 0.285736 2890 0.050962
0.179909858 C9orf95 0.515188 2889 0.0926874
0.184481531 CXorf56 0.278146 2880 0.0513128
0.188897649 no value 0.196598 2872 0.0371369
0.188940403 ORAI2 0.163279 2867 0.03085
0.188941031 ORAI3 0.196899 2863 0.0372023
0.188941052 ORAI1 0.162737 2860 0.0307477
0.193516584 ZNF496 0.849984 2824 0.164486
0.193522393 ZNF449 0.852537 2822 0.164985
0.197047403 C9orf23 0.616542 2812 0.121488

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/