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