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