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 1 to 50 of 328 in total
Average Regulation (ratio)
% Affected Genes
Class Size (#genes)
Would Be Affected (#genes)
Class
Class
3.243556241194407 5.4545 118 6 molecular function potassium ion binding
3.4682 191 7 alkali metal ion binding
3.175950493131365 2.5000 416 10 biological process establishment and/or maintenance of chromatin architecture
2.4561 422 DNA packaging
2.0349 496 chromosome organization and biogenesis (sensu Eukaryota)
3.0782742261886598 2.2026 680 15 defense response
3.0316067695617677 2.7174 231 6 microtubule-based process
2.9956377029418944 2.9412 195 chromatin modification
2.9851186752319334 1.3369 448 molecular function lipid binding
2.9601402282714844 4.8000 184 9 cellular component chromatin
2.941256210207939 2.1858 519 11 biological process chromosome organization and biogenesis
2.9320233133104114 1.9459 1086 21 molecular function transferase activity, transferring phosphorus-containing groups
2.8815125972032547 2.4922 379 9 biological process apoptosis
2.4845 381 programmed cell death
2.844642996788025 2.9070 206 6 nucleocytoplasmic transport
2.8238616314801304 3.4700 472 16 cellular component chromosomal part
2.8162122435039945 2.4658 430 11 biological process cell death
death
2.8144334629178047 2.3088 810 19 molecular function phosphotransferase activity, alcohol group as acceptor
2.7959404488404593 4.0268 360 14 protein dimerization activity
2.7829527854919434 2.8249 211 6 biological process visual perception
2.8090 212 sensory perception of light stimulus
2.7678764888218472 2.6820 1217 33 intracellular signaling cascade
2.745920252799988 1.1390 544 6 carbohydrate metabolic process
2.718373046201818 2.1277 938 20 molecular function kinase activity
2.7119380235671997 1.8182 531 10 biological process cytoskeleton organization and biogenesis
2.7082830667495728 1.7921 636 11 cellular component cytoskeleton
2.6960288683573403 2.4064 442 biological process small GTPase mediated signal transduction
2.6934666122709 2.1605 379 8 cellular component nucleoplasm part
2.6894871592521667 5.7692 117 7 biological process muscle development
2.6829177481787547 3.9773 192 8 regulation of growth
2.6820639967918396 2.6201 735 19 immune response
2.6707380056381225 2.3502 990 23 cellular component nuclear part
2.659621460097177 1.7926 1890 34 molecular function transferase activity
2.644248050451279 2.1413 1204 26 biological process organelle organization and biogenesis
2.6417386531829834 2.5890 711 18 phosphorylation
2.6377359429995217 2.2556 315 7 molecular function voltage-gated ion channel activity
2.6329536702897816 5.0000 226 11 biological process response to cold
4.4554 249 response to temperature stimulus
2.630213709672292 2.6362 1588 42 transcription
2.6115847550905666 2.2184 879 20 immune system process
2.6086528982434953 2.9289 318 9 inflammatory response
2.599970555305481 3.5971 182 7 molecular function amine receptor activity
2.5862315134568648 2.8646 443 13 biological process ubiquitin cycle
2.5815784772237143 2.5554 675 17 protein amino acid phosphorylation
2.5402226646741233 3.6145 245 9 cellular component chromosome
2.539123611790793 2.5045 644 16 biological process organ development
2.5307046931523542 2.3508 2985 70 response to stimulus
2.530326783657074 2.8736 416 12 response to abiotic stimulus
2.5267262917298536 1.9118 884 17 DNA 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/