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