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

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/