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 [...,...].
Average Regulation (ratio) % Affected Genes Class Size (#genes) Would Be Affected (#genes) Class Class Microarray Measured (#genes) affected Accession
Results: HTML CSV LaTeX Showing element 25 to 74 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Class Size (#genes)
Would Be Affected (#genes)
Class
Class
5.230461120605469 10.0000 11 1 1-phosphatidylinositol-3-kinase activity molecular function
phosphoinositide 3-kinase activity
9.0909 13 phosphoinositide phosphorylation biological process
8.3333 14 lipid phosphorylation
6.2500 17 phosphoinositide 3-kinase complex cellular component
4.7619 25 lipid kinase activity molecular function
3.3333 35 lipid modification biological process
3.1250 37 inositol or phosphatidylinositol kinase activity molecular function
1.7857 76 phosphoinositide-mediated signaling biological process
5.197549819946289 11.1111 11 hormone-mediated signaling
3.4483 31 hormone binding molecular function
3.2258 32 fatty acid oxidation biological process
1.3158 85 response to hormone stimulus
5.013317108154297 105 thiolester hydrolase activity molecular function
4.940977334976196 3.5714 73 3 nuclear chromosome part cellular component
4.7113165855407715 50.0000 2 1 pyruvate kinase activity molecular function
1.9608 68 glycolysis biological process
1.6393 79 glucose catabolic process
1.4706 89 hexose catabolic process
1.4493 90 monosaccharide catabolic process
1.3699 96 alcohol catabolic process
1.1236 114 cellular carbohydrate catabolic process
1.0638 121 carbohydrate catabolic process
0.9615 130 glucose metabolic process
0.6944 174 hexose metabolic process
0.6623 182 monosaccharide metabolic process
4.7064167857170105 1.9231 135 3 oxidoreductase activity, acting on the CH-OH group of donors, NAD or NADP as acceptor molecular function
1.6807 151 oxidoreductase activity, acting on CH-OH group of donors
4.679882526397705 25.0000 4 1 outward rectifier potassium channel activity
8.3333 13 delayed rectifier potassium channel activity
4.620415210723877 2.7027 40 protein amino acid N-linked glycosylation biological process
4.601345539093018 1.0811 225 2 reproductive process
4.553711891174316 50.0000 2 1 parathyroid hormone receptor activity molecular function
3.5714 37 secretin-like receptor activity
4.506189823150635 5.8824 18 phagocytosis biological process
4.492823123931885 6.6667 20 negative regulation of gene expression, epigenetic
5.8824 19 nuclear membrane cellular component
2.2222 53 regulation of gene expression, epigenetic biological process
4.407965660095215 14.2857 8 aldehyde dehydrogenase (NAD) activity molecular function
1.3333 100 neuropeptide signaling pathway biological process
4.405977725982666 50.0000 2 GMP reductase activity molecular function
oxidoreductase activity, acting on NADH or NADPH, nitrogenous group as acceptor
1.5873 87 oxidoreductase activity, acting on NADH or NADPH
4.290065228939056 3.7037 66 2 histamine receptor activity
4.135706186294556 3.9474 90 4 nucleoplasm cellular component
4.105485280354817 5.4545 80 humoral immune response biological process
4.079947471618652 3.4483 32 1 insulin receptor signaling pathway
3.3333 transport vesicle cellular component
4.046511650085449 50.0000 3 2 nuclear migration biological process
33.3333 1 nuclear chromosome, telomeric region cellular component

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/