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 Class Would Be Affected (#genes) Average Regulation (ratio) Class Size (#genes) Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 75 to 124 of 328 in total
% Affected Genes
Class
Would Be Affected (#genes)
Average Regulation (ratio)
Class Size (#genes)
Class
3.0351 molecular function 24 1.9826314010118182 778 nucleoside-triphosphatase activity
3.0303 biological process 7 1.3425244291623433 222 cell division
14 1.6056334376335144 458 cell cycle
molecular function 13 1.8281174573031338 432 carrier activity
3.0060 biological process 37 2.403050871690114 1226 response to stress
2.9801 10 2.3975469536251492 338 positive regulation of transcription
2.9680 15 2.46775693159837 499 regulation of transcription from RNA polymerase II promoter
2.9529 43 2.4479837675352356 1442 post-translational protein modification
2.9412 6 2.9956377029418944 195 chromatin modification
2.9393 52 2.470501118236118 1780 biopolymer modification
2.9289 9 2.6086528982434953 318 inflammatory response
2.9197 10 2.4850547462701797 358 response to wounding
2.9091 cellular component 28 2.266423319776853 972 cell fraction
2.9070 biological process 6 2.844642996788025 206 nucleocytoplasmic transport
2.8939 10 2.3975469536251492 347 positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.8754 molecular function 2.523834652370877 363 identical protein binding
2.8736 biological process 12 2.530326783657074 416 response to abiotic stimulus
2.8672 molecular function 73 2.005756884290461 2534 hydrolase activity
2.8646 biological process 13 2.5862315134568648 443 ubiquitin cycle
2.8333 19 2.1418599311043236 686 anatomical structure morphogenesis
2.8249 6 2.7829527854919434 211 visual perception
2.8226 molecular function 45 2.3674656118665425 1596 transcription regulator activity
2.8112 9 1.6669044835226876 327 iron ion binding
2.8090 biological process 6 2.7829527854919434 212 sensory perception of light stimulus
2.7888 molecular function 9 1.4970425537654333 311 ATPase activity, coupled
2.7778 2.043148085474968 323 transcription cofactor activity
2.7661 57 2.1108567559200786 2054 purine nucleotide binding
2.7494 cellular component 70 2.1094915312389997 2528 intracellular
2.7174 biological process 6 3.0316067695617677 231 microtubule-based process
2.6820 33 2.7678764888218472 1217 intracellular signaling cascade
2.6684 molecular function 26 1.9353263832273937 960 ion transporter activity
2.6596 biological process 6 1.6556044340133667 229 anion transport
2.6465 cellular component 16 1.9401746136801583 591 Golgi apparatus
2.6362 biological process 42 2.630213709672292 1588 transcription
2.6247 11 2.28793443441391 429 positive regulation of cellular metabolic process
2.6245 69 2.3178554457061145 2628 regulation of transcription
2.6239 molecular function 12 2.134790725178189 476 endopeptidase activity
2.6235 biological process 20 2.3607054107329426 768 protein transport
2.6201 19 2.6820639967918396 735 immune response
2.6103 33 2.1811264465595115 1273 anatomical structure development
2.6042 molecular function 12 1.9343409657478332 442 transcription factor binding
2.6038 biological process 89 2.408202938131384 3425 biopolymer metabolic process
2.5907 70 2.2985232734680174 2698 regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.5890 18 2.6417386531829834 711 phosphorylation
2.5757 cellular component 121 2.420156256183163 4692 nucleus
2.5654 molecular function 62 2.040321083068848 2412 nucleotide binding
2.5554 biological process 17 2.5815784772237143 675 protein amino acid phosphorylation
2.5487 cellular component 20 1.8778342920191147 770 endoplasmic reticulum
2.5375 biological process 62 2.3732517415826972 2448 regulation of transcription, DNA-dependent
2.5312 84 2.365392540051387 3325 cellular protein metabolic 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/