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 [...,...].
% Affected Genes Average Regulation (ratio) Would Be Affected (#genes) Class Size (#genes) Class Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 51 to 100 of 328 in total
% Affected Genes
Average Regulation (ratio)
Would Be Affected (#genes)
Class Size (#genes)
Class
Class
3.4188 2.1927802711725235 20 579 sequence-specific DNA binding molecular function
3.4146 1.6467143297195435 8 229 cell cycle phase biological process
3.4014 1.753389847278595 11 326 cytoplasmic vesicle cellular component
3.3727 2.201178240776062 24 723 hydrolase activity, acting on ester bonds molecular function
3.3626 1.8800545464391294 29 877 receptor binding
3.3557 1.753389847278595 11 331 vesicle cellular component
3.3333 1.8456570080348425 8 249 RNA polymerase II transcription factor activity molecular function
1.3052469968795777 6 170 regulation of cell differentiation biological process
3.2258 2.3798144817352296 12 378 alcohol metabolic process
3.1873 1.9443604201078415 9 295 electrochemical potential-driven transporter activity molecular function
porter activity
3.1746 1.8491697907447815 7 208 synapse cellular component
3.1250 1.3853561878204346 6 197 vacuole
3.0968 2.4829982866843543 28 890 phosphate metabolic process biological process
phosphorus metabolic process
3.0928 2.506679137547811 10 331 transcriptional activator activity molecular function
2.506638288497925 7 238 microtubule cellular component
3.0628 1.9421986639499664 25 807 pyrophosphatase activity molecular function
3.0612 1.9925966064135234 7 216 cytoplasmic membrane-bound vesicle cellular component
membrane-bound vesicle
3.0581 1.9421986639499664 25 811 hydrolase activity, acting on acid anhydrides, in phosphorus-containing anhydrides molecular function
3.0488 814 hydrolase activity, acting on acid anhydrides
3.0405 2.470501118236118 52 1721 protein modification process biological process
3.0400 2.231512101073014 22 739 membrane fraction cellular component
3.0351 1.9826314010118182 24 778 nucleoside-triphosphatase activity molecular function
3.0303 1.8281174573031338 13 432 carrier activity
1.6056334376335144 14 458 cell cycle biological process
1.3425244291623433 7 222 cell division
3.0060 2.403050871690114 37 1226 response to stress
2.9801 2.3975469536251492 10 338 positive regulation of transcription
2.9680 2.46775693159837 15 499 regulation of transcription from RNA polymerase II promoter
2.9529 2.4479837675352356 43 1442 post-translational protein modification
2.9412 2.9956377029418944 6 195 chromatin modification
2.9393 2.470501118236118 52 1780 biopolymer modification
2.9289 2.6086528982434953 9 318 inflammatory response
2.9197 2.4850547462701797 10 358 response to wounding
2.9091 2.266423319776853 28 972 cell fraction cellular component
2.9070 2.844642996788025 6 206 nucleocytoplasmic transport biological process
2.8939 2.3975469536251492 10 347 positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.8754 2.523834652370877 363 identical protein binding molecular function
2.8736 2.530326783657074 12 416 response to abiotic stimulus biological process
2.8672 2.005756884290461 73 2534 hydrolase activity molecular function
2.8646 2.5862315134568648 13 443 ubiquitin cycle biological process
2.8333 2.1418599311043236 19 686 anatomical structure morphogenesis
2.8249 2.7829527854919434 6 211 visual perception
2.8226 2.3674656118665425 45 1596 transcription regulator activity molecular function
2.8112 1.6669044835226876 9 327 iron ion binding
2.8090 2.7829527854919434 6 212 sensory perception of light stimulus biological process
2.7888 1.4970425537654333 9 311 ATPase activity, coupled molecular function
2.7778 2.043148085474968 323 transcription cofactor activity

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/