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 affected Class Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 501 to 550 of 5007 in total
Class  : biological process
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class Size (#genes)
Class
1.6198676824569702 4.5455 1 23 peptidyl-tyrosine phosphorylation
4.3478 27 protein import into nucleus, translocation
4.1667 25 peptidyl-tyrosine modification
27 protein kinase C activation
3.0303 38 caspase activation
42 regulation of muscle contraction
2.7778 43 positive regulation of caspase activity
2.2222 54 regulation of caspase activity
1.7544 63 activation of protein kinase activity
1.7241 69 positive regulation of hydrolase activity
1.3158 84 peptidyl-amino acid modification
1.6164775490760803 9.0909 2 24 lymphocyte proliferation
mononuclear cell proliferation
1.7857 123 lymphocyte activation
1.6134718656539917 1.3514 1 92 epidermis development
1.6074604988098145 4.3478 28 tetracycline transport
4.1667 30 response to antibiotic
3.7037 33 drug transport
1.6066848039627075 100.0000 1 osmosensory signaling pathway
14.2857 8 regulation of cell volume
10.0000 11 response to osmotic stress
4.5455 29 response to mechanical stimulus
1.6056334376335144 3.0303 14 458 cell cycle
1.6005929708480835 2.7027 5 184 steroid metabolic process
1.598192811012268 2.5000 1 48 detection of stimulus during sensory perception
1.4286 84 detection of stimulus
1.5929162161690849 1.7949 8 463 amine metabolic process
1.7157 484 nitrogen compound metabolic process
1.581991195678711 3.2787 2 62 amino acid transport
1.5804486274719238 7.6923 1 13 peroxisome organization and biogenesis
1.575242853164673 1.8727 6 314 amino acid metabolic process
1.5708750486373901 100.0000 1 1 caudate nucleus development
putamen development
1.5622674822807312 13.3333 2 15 fibroblast growth factor receptor signaling pathway
1.5580885410308838 5.0000 1 21 GPI anchor biosynthetic process
4.7619 22 GPI anchor metabolic process
4.0000 27 phosphoinositide biosynthetic process
2.8571 40 glycerophospholipid biosynthetic process
1.6393 69 phospholipid biosynthetic process
1.3699 83 membrane lipid biosynthetic process
1.5568770170211792 1.2579 3 205 male gamete generation
spermatogenesis
1.0989 235 gamete generation
1.5545271039009094 0.9524 2 248 tissue development
1.5518782138824463 2.5974 91 intracellular protein transport across a membrane
1.545079529285431 3.2787 72 regulation of secretion
1.541499376296997 1.3699 1 80 chloride transport
1.5287119547526042 4.1667 3 74 amine transport
1.523066798845927 1.2346 278 DNA repair
1.5134246349334717 2.2222 2 108 defense response to bacterium

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/