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 Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 451 to 500 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class Size (#genes)
Class
Class
2.3310728073120117 33.3333 1 3 cullin-RING ubiquitin ligase complex cellular component
SCF ubiquitin ligase complex
2.329086923599243 5.1546 6 107 embryonic morphogenesis biological process
2.328269682611738 2.5307 90 3555 protein metabolic process
2.319896697998047 2.5057 13 534 intracellular protein transport
2.31939160823822 3.3898 2 67 contractile fiber part cellular component
2.3178554457061145 2.6245 69 2628 regulation of transcription biological process
2.317225064550127 1.7677 9 510 extracellular space cellular component
2.316990613937378 33.3333 2 5 protein phosphatase type 2A activity molecular function
5.2632 1 21 protein phosphatase type 2A complex cellular component
2.3127479553222656 1.4970 6 398 behavior biological process
2.312502180275164 2.3114 96 4136 cell communication
2.3103933334350586 25.0000 1 5 maintenance of protein localization in nucleus
4.7619 25 maintenance of cellular protein localization
26 maintenance of protein localization
4.3478 27 maintenance of cellular localization
3.5714 34 maintenance of localization
2.309741258621216 3.0534 5 168 microsome cellular component
2.9412 173 vesicular fraction
2.3059755516052247 2.2085 64 2892 intracellular organelle part
2.2017 2900 organelle part
2.3038527108075324 2.4081 66 2739 developmental process biological process
2.3028621958649675 2.4798 65 2641 DNA binding molecular function
2.299432896077633 1.8561 20 1060 integral to plasma membrane cellular component
1.8286 1077 intrinsic to plasma membrane
2.2985232734680174 2.5907 70 2698 regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process biological process
2.293897867202759 3.5714 1 33 pigmentation
2.2892844676971436 5.3571 3 59 protein C-terminus binding molecular function
2.2890394926071167 11.1111 2 21 peptide metabolic process biological process
2.28793443441391 2.6247 11 429 positive regulation of cellular metabolic process
2.4631 456 positive regulation of metabolic process
2.28659725189209 6.2500 1 18 protein phosphatase type 2C activity molecular function
2.2792132452352725 2.5000 96 3858 nucleic acid binding
2.27594193816185 3.8462 5 124 protein amino acid glycosylation biological process
3.7736 126 biopolymer glycosylation
2.2737072706222534 2.2364 17 752 lipid metabolic process
2.2681225514251913 2.4354 179 7366 protein binding molecular function
2.267966568470001 3.9735 7 164 transmembrane receptor protein tyrosine kinase signaling pathway biological process
2.2671763740532787 2.3725 374 15762 cellular_component cellular component
2.2670372059712043 2.4610 72 2913 regulation of cellular metabolic process biological process
2.2664323395275208 2.4356 452 18539 all universal
2.266423319776853 2.9091 28 972 cell fraction cellular component
2.2657248179117837 1.3100 4 281 proteinaceous extracellular matrix
2.2609615601026096 2.4030 18 734 peptidase activity molecular function
2.2604436332529243 2.2267 14 634 response to external stimulus biological process
2.2601398825645447 1.5228 7 464 monovalent inorganic cation transport
2.259546995162964 33.3333 1 3 threonine-tRNA ligase activity molecular function
threonyl-tRNA aminoacylation biological process
1.3889 79 amino acid activation
tRNA aminoacylation

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/