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) Would Be Affected (#genes) % Affected Genes Class Size (#genes) Class Class Accession affected Microarray Measured (#genes)
Results: HTML CSV LaTeX Showing element 125 to 174 of 328 in total
Average Regulation (ratio)
Would Be Affected (#genes)
% Affected Genes
Class Size (#genes)
Class
Class
2.3127479553222656 6 1.4970 398 biological process behavior
2.312502180275164 96 2.3114 4136 cell communication
2.3059755516052247 64 2.2085 2892 cellular component intracellular organelle part
2.2017 2900 organelle part
2.3038527108075324 66 2.4081 2739 biological process developmental process
2.3028621958649675 65 2.4798 2641 molecular function DNA binding
2.299432896077633 20 1.8561 1060 cellular component integral to plasma membrane
1.8286 1077 intrinsic to plasma membrane
2.2985232734680174 70 2.5907 2698 biological process regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.28793443441391 11 2.6247 429 positive regulation of cellular metabolic process
2.4631 456 positive regulation of metabolic process
2.2792132452352725 96 2.5000 3858 molecular function nucleic acid binding
2.2737072706222534 17 2.2364 752 biological process lipid metabolic process
2.2681225514251913 179 2.4354 7366 molecular function protein binding
2.267966568470001 7 3.9735 164 biological process transmembrane receptor protein tyrosine kinase signaling pathway
2.2671763740532787 374 2.3725 15762 cellular component cellular_component
2.2670372059712043 72 2.4610 2913 biological process regulation of cellular metabolic process
2.2664323395275208 452 2.4356 18539 universal all
2.266423319776853 28 2.9091 972 cellular component cell fraction
2.2609615601026096 18 2.4030 734 molecular function peptidase activity
2.2604436332529243 14 2.2267 634 biological process response to external stimulus
2.2601398825645447 7 1.5228 464 monovalent inorganic cation transport
2.259431820927244 401 2.3913 16757 molecular function molecular_function
2.2576280551010304 352 2.3831 14761 cellular component cell part
2.2540424267450967 7 1.9608 358 biological process negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.252760338363143 294 2.4522 11986 cellular process
2.248631090488074 73 2.4047 3018 regulation of metabolic process
2.246480769722174 377 2.4413 15431 biological_process
2.243723976612091 15 2.0202 762 macromolecule biosynthetic process
2.241470267334763 319 2.4400 13082 molecular function binding
2.2348088707242693 8 2.5271 321 biological process nervous system development
2.2326475211552212 1.9608 414 negative regulation of cellular metabolic process
2.231512101073014 22 3.0400 739 cellular component membrane fraction
2.2257004976272583 9 1.8248 497 molecular function olfactory receptor activity
2.2204760638150303 14 1.6923 826 cellular component extracellular region part
2.220401409599516 53 2.2099 2403 molecular function zinc ion binding
2.216642654982189 192 2.4279 7902 cellular component intracellular organelle
2.4275 7904 organelle
2.2164768129587173 9 3.4335 264 biological process organ morphogenesis
2.215940025315356 170 2.4157 7030 cellular component intracellular membrane-bound organelle
membrane-bound organelle
2.210925724557651 239 2.3834 10046 intracellular part
2.2093183655257618 137 2.3335 5858 molecular function catalytic activity
2.2058627247810363 23 2.0161 1164 biological process negative regulation of cellular process
1.8957 1238 negative regulation of biological process
2.201751559972763 1.8244 1284 molecular function G-protein coupled receptor activity
2.201178240776062 24 3.3727 723 hydrolase activity, acting on ester bonds
2.195966625213623 14 1.9569 696 cellular component cytoskeletal part
2.1927802711725235 20 3.4188 579 molecular function sequence-specific DNA binding
2.1918027877807615 12 2.0661 569 biological process metal ion transport

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/