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

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/