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 Would Be Affected (#genes) Class Size (#genes) Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 75 to 124 of 173 in total
Class  : biological process
% Affected Genes
Average Regulation (ratio)
Class
Would Be Affected (#genes)
Class Size (#genes)
2.4610 2.2670372059712043 regulation of cellular metabolic process 72 2913
2.4561 3.175950493131365 DNA packaging 10 422
2.4522 2.252760338363143 cellular process 294 11986
2.4510 1.7727066993713378 regulation of protein kinase activity 6 236
2.4413 2.246480769722174 biological_process 377 15431
2.4343 2.357159194284982 primary metabolic process 178 7318
2.4272 2.0707096576690676 system development 11 466
2.4123 1.9621534997766668 positive regulation of cellular process 25 1036
2.4081 2.3038527108075324 developmental process 66 2739
2.4068 2.374769774137759 macromolecule metabolic process 130 5408
2.4064 2.6960288683573403 small GTPase mediated signal transduction 11 442
2.4047 2.248631090488074 regulation of metabolic process 73 3018
2.3959 2.1234114333987235 regulation of cellular process 104 4348
2.3810 1.7727066993713378 regulation of kinase activity 6 243
2.3679 2.0103142169805674 regulation of biological quality 16 660
2.3585 1.4007941484451294 positive regulation of apoptosis 6 250
2.3577 2.0665640378820487 establishment of localization 70 2969
2.3508 2.5307046931523542 response to stimulus 2985
2.3483 2.416864479581515 G-protein coupled receptor protein signaling pathway 34 1453
2.3364 1.7727066993713378 regulation of transferase activity 6 247
1.7531960964202882 mRNA processing 242
1.4007941484451294 positive regulation of programmed cell death 252
2.3304 2.044925112809454 transport 68 2906
2.3262 2.089855896725374 regulation of biological process 110 4730
2.3133 2.3753860882350377 signal transduction 88 3816
2.3114 2.312502180275164 cell communication 96 4136
2.2856 2.0664001241807015 biological regulation 120 5267
2.2670 1.8413102626800537 RNA processing 10 448
2.2514 2.4382004340489707 sensory perception 16 732
2.2398 2.1725611826952766 establishment of cellular localization 20 914
2.2364 2.2737072706222534 lipid metabolic process 17 752
2.2321 1.368695902824402 chemical homeostasis 6 260
2.2307 2.395317418234689 cell surface receptor linked signal transduction 46 2077
2.2267 2.2604436332529243 response to external stimulus 14 634
2.2184 2.6115847550905666 immune system process 20 879
2.2181 2.4382004340489707 neurological process 16 741
2.2167 2.02202084991667 ion transport 22 974
2.2026 3.0782742261886598 defense response 15 680
2.1930 1.8477724552154542 cell-cell adhesion 6 287
2.1879 2.4306948675828823 nucleobase, nucleoside, nucleotide and nucleic acid metabolic process 67 3075
2.1858 2.941256210207939 chromosome organization and biogenesis 11 519
2.1417 1.9759902954101562 proteolysis 17 800
2.1413 2.644248050451279 organelle organization and biogenesis 26 1204
2.1407 1.8383450422968184 biological adhesion 17 806
cell adhesion
2.1390 2.1474349200725555 cell motility 9 432
2.1368 1.7971266508102417 lipid biosynthetic process 6 275
2.1318 2.383645436980508 cellular lipid metabolic process 13 619
2.1164 2.105520764986674 cation transport 14 669
2.0992 2.114047809080644 response to chemical stimulus 13 633

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/