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 Average Regulation (ratio) Class Size (#genes) Would Be Affected (#genes) Class Microarray Measured (#genes) Accession affected
Results: HTML CSV LaTeX Showing element 75 to 124 of 328 in total
% Affected Genes
Class
Average Regulation (ratio)
Class Size (#genes)
Would Be Affected (#genes)
Class
3.0351 molecular function 1.9826314010118182 778 24 nucleoside-triphosphatase activity
3.0303 biological process 1.6056334376335144 458 14 cell cycle
1.3425244291623433 222 7 cell division
molecular function 1.8281174573031338 432 13 carrier activity
3.0060 biological process 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 cellular component 2.266423319776853 972 28 cell fraction
2.9070 biological process 2.844642996788025 206 6 nucleocytoplasmic transport
2.8939 2.3975469536251492 347 10 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 2.530326783657074 416 12 response to abiotic stimulus
2.8672 molecular function 2.005756884290461 2534 73 hydrolase activity
2.8646 biological process 2.5862315134568648 443 13 ubiquitin cycle
2.8333 2.1418599311043236 686 19 anatomical structure morphogenesis
2.8249 2.7829527854919434 211 6 visual perception
2.8226 molecular function 2.3674656118665425 1596 45 transcription regulator activity
2.8112 1.6669044835226876 327 9 iron ion binding
2.8090 biological process 2.7829527854919434 212 6 sensory perception of light stimulus
2.7888 molecular function 1.4970425537654333 311 9 ATPase activity, coupled
2.7778 2.043148085474968 323 transcription cofactor activity
2.7661 2.1108567559200786 2054 57 purine nucleotide binding
2.7494 cellular component 2.1094915312389997 2528 70 intracellular
2.7174 biological process 3.0316067695617677 231 6 microtubule-based process
2.6820 2.7678764888218472 1217 33 intracellular signaling cascade
2.6684 molecular function 1.9353263832273937 960 26 ion transporter activity
2.6596 biological process 1.6556044340133667 229 6 anion transport
2.6465 cellular component 1.9401746136801583 591 16 Golgi apparatus
2.6362 biological process 2.630213709672292 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 molecular function 2.134790725178189 476 12 endopeptidase activity
2.6235 biological process 2.3607054107329426 768 20 protein transport
2.6201 2.6820639967918396 735 19 immune response
2.6103 2.1811264465595115 1273 33 anatomical structure development
2.6042 molecular function 1.9343409657478332 442 12 transcription factor binding
2.6038 biological process 2.408202938131384 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 cellular component 2.420156256183163 4692 121 nucleus
2.5654 molecular function 2.040321083068848 2412 62 nucleotide binding
2.5554 biological process 2.5815784772237143 675 17 protein amino acid phosphorylation
2.5487 cellular component 1.8778342920191147 770 20 endoplasmic reticulum
2.5375 biological process 2.3732517415826972 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/