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 Would Be Affected (#genes) Class Class Size (#genes) Class Microarray Measured (#genes) affected Accession
Results: HTML CSV LaTeX Showing element 1 to 50 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class
Class Size (#genes)
Class
6.564077854156494 12.5000 1 DNA-directed RNA polymerase III complex 8 cellular component
5.5556 transcription from RNA polymerase III promoter 19 biological process
3.7037 DNA-directed RNA polymerase complex 31 cellular component
nuclear DNA-directed RNA polymerase complex
3.5714 RNA polymerase complex 32
2.5000 DNA-directed RNA polymerase activity 51 molecular function
0.9091 nucleotidyltransferase activity 129
5.84607458114624 20.0000 beta-tubulin folding 5 biological process
14.2857 tubulin folding 8
6.6667 chaperone binding 17 molecular function
5.835443019866943 100.0000 cytoplasmic chromatin 1 cellular component
oocyte differentiation biological process
50.0000 positive regulation of meiosis 2
33.3333 regulation of meiosis 3
10.0000 regulation of exit from mitosis 12
7.6923 histone binding 15 molecular function
6.2500 2 single fertilization 27 biological process
5.5556 fertilization 30
4.7619 1 nuclear chromatin cellular component
5.811023712158203 1.1628 cell surface 104
5.530585289001465 1.8868 heat shock protein binding 63 molecular function
5.326116561889648 5.2632 cellular respiration 22 biological process
1.4085 energy derivation by oxidation of organic compounds 82
5.230461120605469 25.0000 phosphatidylinositol-4,5-bisphosphate 3-kinase activity 4 molecular function
10.0000 1-phosphatidylinositol-3-kinase activity 11
phosphoinositide 3-kinase activity
9.0909 phosphoinositide phosphorylation 13 biological process
8.3333 lipid phosphorylation 14
6.2500 phosphoinositide 3-kinase complex 17 cellular component
4.7619 lipid kinase activity 25 molecular function
3.3333 lipid modification 35 biological process
3.1250 inositol or phosphatidylinositol kinase activity 37 molecular function
1.7857 phosphoinositide-mediated signaling 76 biological process
5.197549819946289 11.1111 hormone-mediated signaling 11
3.4483 hormone binding 31 molecular function
3.2258 fatty acid oxidation 32 biological process
1.3158 response to hormone stimulus 85
5.013317108154297 thiolester hydrolase activity 105 molecular function
4.940977334976196 3.5714 3 nuclear chromosome part 73 cellular component
4.7113165855407715 50.0000 1 pyruvate kinase activity 2 molecular function
1.9608 glycolysis 68 biological process
1.6393 glucose catabolic process 79
1.4706 hexose catabolic process 89
1.4493 monosaccharide catabolic process 90
1.3699 alcohol catabolic process 96
1.1236 cellular carbohydrate catabolic process 114
1.0638 carbohydrate catabolic process 121
0.9615 glucose metabolic process 130
0.6944 hexose metabolic process 174
0.6623 monosaccharide metabolic process 182

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/