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 [...,...].
% Affected Genes Average Regulation (ratio) Class Would Be Affected (#genes) Class Size (#genes) Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 1 to 50 of 328 in total
% Affected Genes
Average Regulation (ratio)
Class
Would Be Affected (#genes)
Class Size (#genes)
Class
12.1951 1.8410587787628174 protein serine/threonine phosphatase activity 6 47 molecular function
8.0645 1.864961290359497 tubulin binding 71
6.6667 2.113001174396939 hormone activity 12 176
6.3492 2.1655175536870956 protein amino acid dephosphorylation 9 142 biological process
6.0976 1.8525358200073243 endonuclease activity 6 96 molecular function
6.0000 2.116744134161207 phosphoprotein phosphatase activity 10 171
5.7692 2.6894871592521667 muscle development 7 117 biological process
5.7143 2.1655175536870956 dephosphorylation 9 158
5.6180 1.8354295253753663 metalloendopeptidase activity 7 116 molecular function
5.4945 2.046875333786011 chromatin binding 6 110
5.4545 3.243556241194407 potassium ion binding 118
5.1546 2.329086923599243 embryonic morphogenesis 107 biological process
5.0000 2.6329536702897816 response to cold 11 226
4.8000 2.9601402282714844 chromatin 9 184 cellular component
4.7619 2.455523896217346 GTPase activity 13 270 molecular function
4.7244 1.632481078306834 mitosis 7 142 biological process
4.7059 2.4113256633281708 ice binding 10 216 molecular function
response to freezing biological process
water binding molecular function
4.6784 homoiothermy 217 biological process
4.5113 1.7925277551015217 calmodulin binding 6 142 molecular function
4.4554 2.6329536702897816 response to temperature stimulus 11 249 biological process
4.4444 2.4113256633281708 thermoregulation 10 226
4.3796 1.82427982489268 nuclease activity 7 165 molecular function
4.3573 1.8484420895576477 regulation of progression through cell cycle 23 535 biological process
4.3197 regulation of cell cycle 539
4.2424 2.037709048816136 anion transporter activity 8 196 molecular function
4.2017 1.4174904584884644 ATPase activity, coupled to transmembrane movement of substances 7 156
4.1420 1.7680698462894984 metallopeptidase activity 9 221
4.1322 1.5547808408737183 heme binding 7 172
tetrapyrrole binding
1.4174904584884644 ATPase activity, coupled to movement of substances 158
hydrolase activity, acting on acid anhydrides, catalyzing transmembrane movement of substances 159
4.1270 2.3509053725462694 GTP binding 17 417
4.0541 2.12662406762441 phosphoric ester hydrolase activity 14 341
4.0268 2.7959404488404593 protein dimerization activity 360
4.0248 2.3509053725462694 guanyl nucleotide binding 17 427
3.9823 2.116744134161207 phosphoric monoester hydrolase activity 10 261
3.9773 2.6829177481787547 regulation of growth 8 192 biological process
3.9735 2.267966568470001 transmembrane receptor protein tyrosine kinase signaling pathway 7 164
3.8095 2.3925783783197403 enzyme linked receptor protein signaling pathway 9 230
3.7234 1.8230999537876673 RNA splicing 8 208
3.6810 1.6151355107625325 Golgi apparatus part 7 184 cellular component
3.6145 2.5402226646741233 chromosome 9 245
3.5971 2.599970555305481 amine receptor activity 7 182 molecular function
3.5604 1.8924930147502734 cell cycle process 27 746 biological process
3.4700 2.8238616314801304 chromosomal part 16 472 cellular component
3.4682 3.243556241194407 alkali metal ion binding 7 191 molecular function
3.4335 2.2164768129587173 organ morphogenesis 9 264 biological process
3.4272 2.3974582254886627 transcription factor activity 36 1038 molecular function

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/