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) Would Be Affected (#genes) % Affected Genes Class Size (#genes) Class Class Accession affected Microarray Measured (#genes)
Results: HTML CSV LaTeX Showing element 51 to 100 of 8866 in total
Average Regulation (ratio)
Would Be Affected (#genes)
% Affected Genes
Class Size (#genes)
Class
Class
4.7064167857170105 3 1.9231 135 molecular function oxidoreductase activity, acting on the CH-OH group of donors, NAD or NADP as acceptor
1.6807 151 oxidoreductase activity, acting on CH-OH group of donors
4.679882526397705 1 25.0000 4 outward rectifier potassium channel activity
8.3333 13 delayed rectifier potassium channel activity
4.620415210723877 2.7027 40 biological process protein amino acid N-linked glycosylation
4.601345539093018 2 1.0811 225 reproductive process
4.553711891174316 1 50.0000 2 molecular function parathyroid hormone receptor activity
3.5714 37 secretin-like receptor activity
4.506189823150635 5.8824 18 biological process phagocytosis
4.492823123931885 6.6667 20 negative regulation of gene expression, epigenetic
5.8824 19 cellular component nuclear membrane
2.2222 53 biological process regulation of gene expression, epigenetic
4.407965660095215 14.2857 8 molecular function aldehyde dehydrogenase (NAD) activity
1.3333 100 biological process neuropeptide signaling pathway
4.405977725982666 50.0000 2 molecular function GMP reductase activity
oxidoreductase activity, acting on NADH or NADPH, nitrogenous group as acceptor
1.5873 87 oxidoreductase activity, acting on NADH or NADPH
4.290065228939056 2 3.7037 66 histamine receptor activity
4.135706186294556 4 3.9474 90 cellular component nucleoplasm
4.105485280354817 5.4545 80 biological process humoral immune response
4.079947471618652 1 3.4483 32 insulin receptor signaling pathway
3.3333 cellular component transport vesicle
4.046511650085449 33.3333 3 biological process nuclear membrane organization and biogenesis
cellular component nuclear chromosome, telomeric region
12.5000 9 biological process mitotic spindle organization and biogenesis
7.6923 16 cellular component condensed nuclear chromosome
5.0000 23 chromosome, telomeric region
2.3256 56 nuclear envelope
2 50.0000 3 biological process nuclear migration
25.0000 6 establishment of nucleus localization
4.037245273590088 1 14.2857 7 transmembrane receptor protein tyrosine phosphatase signaling pathway
5.5556 18 molecular function transmembrane receptor protein phosphatase activity
transmembrane receptor protein tyrosine phosphatase activity
3.9968204498291016 1.7857 72 vascular endothelial growth factor receptor activity
1.0309 119 GPI anchor binding
3.9418493509292603 3 1.5385 172 cysteine-type peptidase activity
3.9217323064804077 2 40.0000 5 biological process embryonic skeletal morphogenesis
18.1818 13 skeletal morphogenesis
3.895843982696533 1 1.0309 109 Wnt receptor signaling pathway
3.8507699966430664 2 100.0000 2 molecular function arylamine N-acetyltransferase activity
4.5455 52 N-acetyltransferase activity
4.0000 61 N-acyltransferase activity
3.7736 63 acetyltransferase activity
3.8397669792175293 1 5.0000 21 cellular component nuclear matrix
3.819567561149597 4 3.2258 133 biological process regulation of cell growth
3.8173599243164062 1 2.9412 39 transcription initiation from RNA polymerase II promoter
1.7857 68 transcription initiation
3.789476911226908 4 4.4118 80 molecular function structural constituent of cell wall
3.749711751937866 1 12.5000 10 glutathione peroxidase activity
2 5.2632 31 selenium binding

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/