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

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/