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.

Ontology Breakdown

Below is a table that can help you break down the effect of the gene alteration on the bioloigcal system. To create the table below we went over all the ontology terms and counted the number of times a gene was listed in that specific class, or one of its children. As can be expected, each class will differ in its behavior. Some will have a strong average regulation, but will contain very few genes, while others will be very large and broad classes that will have a lower average regulation, but which will whos an overall effect with many genes in many subgroups being affected.

The best strategy to analyze such classes is to a) filter out all the classes for which we have too little data (less than 5 affected genes on the micro array measurement). This can be done by writing '>5' in the 'Affected Genes' field. SEcondly we might also want to look at one specific ontology at first (click on 'biological process' in the table.

Once this is done we can sort the data properly by placing the 'Average Regulation' to the left (click on the green arrows) and the '% Affected Genes' as a second. We also want to sort them descending (the grey arrow should be pointing downward).

Now we can go investigate the data by first look at broadly affected classes ('Would Be Affected Genes'>60) and progressively lowering this value (to something like 'Would Be Affected Genes'>20)


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 [...,...].
% Affected Genes Average Regulation (ratio) Would Be Affected (#genes) affected Class Class Class Size (#genes) Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 501 to 550 of 5007 in total
Class  : biological process
% Affected Genes
Average Regulation (ratio)
Would Be Affected (#genes)
Class
Class Size (#genes)
3.3898 2.0335476994514465 2 cellular protein complex assembly 65
1.9050463438034058 rRNA metabolic process
1.7028499245643616 regulation of phosphorylation 69
3.3708 2.8630340496699014 3 embryonic development 98
3.3333 5.230461120605469 1 lipid modification 35
2.7880274454752603 3 cyclic-nucleotide-mediated signaling 101
1.9514372944831848 2 vitamin metabolic process 73
1.9051852226257324 cAMP-mediated signaling 68
1.4955823421478271 1 regulation of bone remodeling 32
1.3052469968795777 6 regulation of cell differentiation 170
1.3020682334899902 1 regulation of binding 31
1.258076786994934 eye development 34
1.1951740384101868 2 sulfur metabolic process 72
1.1151909828186035 1 translational initiation 37
3.2967 1.9009546041488647 3 response to drug 99
3.2787 1.581991195678711 2 amino acid transport 62
1.545079529285431 regulation of secretion 72
3.2520 1.9630463421344757 5 oxygen and reactive oxygen species metabolic process 139
3.2258 5.197549819946289 1 fatty acid oxidation 32
3.819567561149597 4 regulation of cell growth 133
2.8696537017822266 1 DNA topological change 33
2.3798144817352296 12 alcohol metabolic process 378
1.9489291310310364 4 sensory perception of sound 138
1.3642695546150208 2 elevation of cytosolic calcium ion concentration 68
1.2835599184036255 1 cell fate determination 36
1.258076786994934 sensory organ development
1.192122220993042 hormone biosynthetic process 43
3.2000 1.9489291310310364 4 sensory perception of mechanical stimulus 139
3.1746 3.3942748308181763 2 glycerophospholipid metabolic process 72
1.7028499245643616 regulation of phosphate metabolic process 73
regulation of phosphorus metabolic process
1.3642695546150208 cytosolic calcium ion homeostasis 69
3.1250 1.4955823421478271 1 odontogenesis 36
1.4563519954681396 DNA integrity checkpoint 32
1.2915130853652954 establishment and/or maintenance of cell polarity 37
1.2048066854476929 menstrual cycle process 34
1.1848907470703125 cyclic nucleotide metabolic process
3.0968 2.4829982866843543 28 phosphate metabolic process 890
phosphorus metabolic process
3.0405 2.470501118236118 52 protein modification process 1721
3.0303 1.9220449527104695 4 positive regulation of multicellular organismal process 120
1.6198676824569702 1 caspase activation 38
regulation of muscle contraction 42
1.6056334376335144 14 cell cycle 458
1.3425244291623433 7 cell division 222
1.2733992338180542 1 regulated secretory pathway 36
1.1882063150405884 cytokine and chemokine mediated signaling pathway 41
3.0060 2.403050871690114 37 response to stress 1226
3.0000 1.67010498046875 3 Golgi vesicle transport 114
2.9801 2.3975469536251492 10 positive regulation of transcription 338

Legend:
- The Average Regulation (ratio) is calculated only for the measured genes in this gene ontology term
- % Affected Genes is the % of genes in this gene ontology class that have been affected by the Mk5 alteration.
- Would Be Affected (#genes) represents how many genes of the overall class would have been affected if we measured each of them.
- The Class Size (#genes) counts the number of genes listed under the specific gene ontology term.
- Class is the GO class description.
- The Class refers to the ontology category, which can be molecular_function, biological_process or cellular_component.
- The Microarray Measured (#genes) lists how many genes of the specific ontology term were measured.
- Accession is the GO accession key.

- http://analysis.yellowcouch.org/