MK5 Microarray Data

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	Accession	Microarray Measured (#genes)	Class Size (#genes)	Average Regulation (ratio)	affected	Would Be Affected (#genes)	Class

Results: HTML CSV LaTeX

Showing element 1 to 50 of 173 in total

Class  : biological process

% Affected Genes	Class	Class Size (#genes)	Average Regulation (ratio)	Would Be Affected (#genes)
6.3492	protein amino acid dephosphorylation	142	2.1655175536870956	9
5.7692	muscle development	117	2.6894871592521667	7
5.7143	dephosphorylation	158	2.1655175536870956	9
5.1546	embryonic morphogenesis	107	2.329086923599243	6
5.0000	response to cold	226	2.6329536702897816	11
4.7244	mitosis	142	1.632481078306834	7
4.7059	response to freezing	216	2.4113256633281708	10
4.6784	homoiothermy	217
4.4554	response to temperature stimulus	249	2.6329536702897816	11
4.4444	thermoregulation	226	2.4113256633281708	10
4.3573	regulation of progression through cell cycle	535	1.8484420895576477	23
4.3197	regulation of cell cycle	539
3.9773	regulation of growth	192	2.6829177481787547	8
3.9735	transmembrane receptor protein tyrosine kinase signaling pathway	164	2.267966568470001	7
3.8095	enzyme linked receptor protein signaling pathway	230	2.3925783783197403	9
3.7234	RNA splicing	208	1.8230999537876673	8
3.5604	cell cycle process	746	1.8924930147502734	27
3.4335	organ morphogenesis	264	2.2164768129587173	9
3.4146	cell cycle phase	229	1.6467143297195435	8
3.3333	regulation of cell differentiation	170	1.3052469968795777	6
3.2258	alcohol metabolic process	378	2.3798144817352296	12
3.0968	phosphate metabolic process	890	2.4829982866843543	28
	phosphorus metabolic process
3.0405	protein modification process	1721	2.470501118236118	52
3.0303	cell cycle	458	1.6056334376335144	14
	cell division	222	1.3425244291623433	7
3.0060	response to stress	1226	2.403050871690114	37
2.9801	positive regulation of transcription	338	2.3975469536251492	10
2.9680	regulation of transcription from RNA polymerase II promoter	499	2.46775693159837	15
2.9529	post-translational protein modification	1442	2.4479837675352356	43
2.9412	chromatin modification	195	2.9956377029418944	6
2.9393	biopolymer modification	1780	2.470501118236118	52
2.9289	inflammatory response	318	2.6086528982434953	9
2.9197	response to wounding	358	2.4850547462701797	10
2.9070	nucleocytoplasmic transport	206	2.844642996788025	6
2.8939	positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	347	2.3975469536251492	10
2.8736	response to abiotic stimulus	416	2.530326783657074	12
2.8646	ubiquitin cycle	443	2.5862315134568648	13
2.8333	anatomical structure morphogenesis	686	2.1418599311043236	19
2.8249	visual perception	211	2.7829527854919434	6
2.8090	sensory perception of light stimulus	212
2.7174	microtubule-based process	231	3.0316067695617677
2.6820	intracellular signaling cascade	1217	2.7678764888218472	33
2.6596	anion transport	229	1.6556044340133667	6
2.6362	transcription	1588	2.630213709672292	42
2.6247	positive regulation of cellular metabolic process	429	2.28793443441391	11
2.6245	regulation of transcription	2628	2.3178554457061145	69
2.6235	protein transport	768	2.3607054107329426	20
2.6201	immune response	735	2.6820639967918396	19
2.6103	anatomical structure development	1273	2.1811264465595115	33

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.