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 [...,...].
Average Regulation (ratio) % Affected Genes Would Be Affected (#genes) Class Class Size (#genes) Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 101 to 150 of 173 in total
Class  : biological process
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class
Class Size (#genes)
2.1655175536870956 5.7143 9 dephosphorylation 158
2.16537378515516 2.0202 17 intracellular transport 840
2.158773183822632 1.8421 8 response to endogenous stimulus 428
2.1474349200725555 2.1390 9 cell motility 432
2.1418599311043236 2.8333 19 anatomical structure morphogenesis 686
2.123886121643914 2.0179 11 regulation of apoptosis 534
1.9912 regulation of programmed cell death 540
2.1234114333987235 2.3959 104 regulation of cellular process 4348
2.121824940045675 1.9824 10 vesicle-mediated transport 510
2.1211151123046874 2.0325 13 macromolecular complex assembly 663
1.9120 cellular component assembly 701
2.1150057166814804 2.0202 9 negative regulation of metabolic process 460
2.114047809080644 2.0992 13 response to chemical stimulus 633
2.105520764986674 2.1164 14 cation transport 669
2.0980815972600664 1.9204 16 RNA metabolic process 832
2.089855896725374 2.3262 110 regulation of biological process 4730
2.0859246611595155 1.5773 11 cell differentiation 727
2.0707096576690676 2.4272 system development 466
2.0665640378820487 2.3577 70 establishment of localization 2969
2.0664001241807015 2.2856 120 biological regulation 5267
2.046714186668396 2.5078 9 cell proliferation 370
2.044925112809454 2.3304 68 transport 2906
2.02202084991667 2.2167 22 ion transport 974
2.017735466957092 2.4655 29 positive regulation of biological process 1165
2.0103142169805674 2.5048 16 homeostatic process 623
2.3679 regulation of biological quality 660
1.9949067831039429 2.0833 7 protein complex assembly 335
1.9786490954850848 1.8357 26 biosynthetic process 1417
1.9769652134332902 2.0945 48 multicellular organismal process 2294
1.9759902954101562 2.1417 17 proteolysis 800
1.9687834978103638 1.0870 6 cellular catabolic process 559
0.8741 catabolic process 704
1.9621534997766668 2.4123 25 positive regulation of cellular process 1036
1.9346576482057571 1.6701 11 generation of precursor metabolites and energy 629
1.9312101155519485 1.6327 9 carboxylic acid metabolic process 570
1.6227 organic acid metabolic process 573
1.9144784212112427 2.0661 6 positive regulation of cell proliferation 272
1.8924930147502734 3.5604 27 cell cycle process 746
1.8484420895576477 4.3573 23 regulation of progression through cell cycle 535
4.3197 regulation of cell cycle 539
1.8477724552154542 2.1930 6 cell-cell adhesion 287
1.8413102626800537 2.2670 10 RNA processing 448
1.8383450422968184 2.1407 17 biological adhesion 806
cell adhesion
1.8230999537876673 3.7234 8 RNA splicing 208
1.7971266508102417 2.1368 6 lipid biosynthetic process 275
1.7727066993713378 2.4510 regulation of protein kinase activity 236
2.3810 regulation of kinase activity 243
2.3364 regulation of transferase activity 247
1.7531960964202882 mRNA processing 242

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/