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

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/