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) Would Be Affected (#genes) % Affected Genes Class Size (#genes) Class Class Microarray Measured (#genes) affected Accession
Results: HTML CSV LaTeX Showing element 125 to 174 of 328 in total
Average Regulation (ratio)
Would Be Affected (#genes)
% Affected Genes
Class Size (#genes)
Class
Class
2.3127479553222656 6 1.4970 398 behavior biological process
2.312502180275164 96 2.3114 4136 cell communication
2.3059755516052247 64 2.2085 2892 intracellular organelle part cellular component
2.2017 2900 organelle part
2.3038527108075324 66 2.4081 2739 developmental process biological process
2.3028621958649675 65 2.4798 2641 DNA binding molecular function
2.299432896077633 20 1.8561 1060 integral to plasma membrane cellular component
1.8286 1077 intrinsic to plasma membrane
2.2985232734680174 70 2.5907 2698 regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process biological process
2.28793443441391 11 2.6247 429 positive regulation of cellular metabolic process
2.4631 456 positive regulation of metabolic process
2.2792132452352725 96 2.5000 3858 nucleic acid binding molecular function
2.2737072706222534 17 2.2364 752 lipid metabolic process biological process
2.2681225514251913 179 2.4354 7366 protein binding molecular function
2.267966568470001 7 3.9735 164 transmembrane receptor protein tyrosine kinase signaling pathway biological process
2.2671763740532787 374 2.3725 15762 cellular_component cellular component
2.2670372059712043 72 2.4610 2913 regulation of cellular metabolic process biological process
2.2664323395275208 452 2.4356 18539 all universal
2.266423319776853 28 2.9091 972 cell fraction cellular component
2.2609615601026096 18 2.4030 734 peptidase activity molecular function
2.2604436332529243 14 2.2267 634 response to external stimulus biological process
2.2601398825645447 7 1.5228 464 monovalent inorganic cation transport
2.259431820927244 401 2.3913 16757 molecular_function molecular function
2.2576280551010304 352 2.3831 14761 cell part cellular component
2.2540424267450967 7 1.9608 358 negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process biological process
2.252760338363143 294 2.4522 11986 cellular process
2.248631090488074 73 2.4047 3018 regulation of metabolic process
2.246480769722174 377 2.4413 15431 biological_process
2.243723976612091 15 2.0202 762 macromolecule biosynthetic process
2.241470267334763 319 2.4400 13082 binding molecular function
2.2348088707242693 8 2.5271 321 nervous system development biological process
2.2326475211552212 1.9608 414 negative regulation of cellular metabolic process
2.231512101073014 22 3.0400 739 membrane fraction cellular component
2.2257004976272583 9 1.8248 497 olfactory receptor activity molecular function
2.2204760638150303 14 1.6923 826 extracellular region part cellular component
2.220401409599516 53 2.2099 2403 zinc ion binding molecular function
2.216642654982189 192 2.4279 7902 intracellular organelle cellular component
2.4275 7904 organelle
2.2164768129587173 9 3.4335 264 organ morphogenesis biological process
2.215940025315356 170 2.4157 7030 intracellular membrane-bound organelle cellular component
membrane-bound organelle
2.210925724557651 239 2.3834 10046 intracellular part
2.2093183655257618 137 2.3335 5858 catalytic activity molecular function
2.2058627247810363 23 2.0161 1164 negative regulation of cellular process biological process
1.8957 1238 negative regulation of biological process
2.201751559972763 1.8244 1284 G-protein coupled receptor activity molecular function
2.201178240776062 24 3.3727 723 hydrolase activity, acting on ester bonds
2.195966625213623 14 1.9569 696 cytoskeletal part cellular component
2.1927802711725235 20 3.4188 579 sequence-specific DNA binding molecular function
2.1918027877807615 12 2.0661 569 metal ion transport biological 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/