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

Results: HTML CSV LaTeX

Showing element 1 to 50 of 173 in total

Class  : biological process

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

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.