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 Class Size (#genes) Would Be Affected (#genes) Class Class Microarray Measured (#genes) affected Accession
Results: HTML CSV LaTeX Showing element 625 to 674 of 5007 in total
Class  : biological process
Average Regulation (ratio)
% Affected Genes
Class Size (#genes)
Would Be Affected (#genes)
Class
1.4450746377309163 2.8302 121 3 calcium ion homeostasis
2.1429 167 4 di-, tri-valent inorganic cation homeostasis
2.0408 175 metal ion homeostasis
1.439520239830017 1.6129 242 sexual reproduction
1.6043 243 reproduction
1.4335074424743652 100.0000 1 1 vacuolar protein catabolic process
1.4308764934539795 25.0000 5 carotenoid biosynthetic process
terpenoid biosynthetic process
tetraterpenoid biosynthetic process
20.0000 6 carotenoid metabolic process
tetraterpenoid metabolic process
11.1111 15 2 isoprenoid biosynthetic process
7.6923 1 terpenoid metabolic process
5.5556 25 isoprenoid metabolic process
5.2632 22 cholesterol biosynthetic process
3.8462 30 sterol biosynthetic process
2.9412 38 pigment biosynthetic process
2.6316 42 pigment metabolic process
1.3514 91 steroid biosynthetic process
1.4288471937179565 1.2500 209 3 regulation of hydrolase activity
1.4221534729003906 100.0000 1 1 serotonin transport
16.6667 6 monoamine transport
12.5000 8 neurotransmitter uptake
1.4218664169311523 1.9231 190 4 inorganic anion transport
1.4206408858299255 5.2632 39 2 protein amino acid lipidation
5.1282 40 lipoprotein biosynthetic process
3.7736 69 3 lipoprotein metabolic process
1.4074867963790894 1.4493 95 1 phosphate transport
1.4038362503051758 2.6549 129 3 hemostasis
2.1898 154 regulation of body fluids
1.4007941484451294 2.3585 250 6 positive regulation of apoptosis
2.3364 252 positive regulation of programmed cell death
1.3985020518302917 5.1282 43 2 cell growth
1.39005708694458 66.6667 3 neural nucleus development
1.3853528201580048 2.5478 186 5 cation homeostasis
2.4096 196 cell ion homeostasis
2.1390 221 ion homeostasis
1.5625 304 cell homeostasis
1.3825213313102722 11.1111 19 2 mitotic checkpoint
3.8462 55 cell cycle checkpoint
1.3795016606648762 8.1081 48 4 positive regulation of transport
2.6316 136 regulation of transport
1.3786529898643494 7.1429 32 2 blood vessel development
6.6667 34 vasculature development
1.377636730670929 1.8519 123 blood coagulation
coagulation
1.3772193988164265 5.2632 59 3 positive regulation of cell differentiation
3.6585 88 positive regulation of developmental process
1.3756878972053528 1.5094 308 5 regulation of protein metabolic process
1.371099054813385 1.3333 184 2 cellular protein catabolic 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/