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

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/