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) affected Class Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 501 to 550 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class
Class Size (#genes)
Class
2.259546995162964 1.3889 1 tRNA aminoacylation for protein translation 79 biological process
1.3514 aminoacyl-tRNA ligase activity 82 molecular function
ligase activity, forming aminoacyl-tRNA and related compounds
ligase activity, forming carbon-oxygen bonds
2.259431820927244 2.3913 401 molecular_function 16757
2.259032130241394 2.3077 3 leukocyte activation 146 biological process
2.0408 4 cell activation 174
2.2586302757263184 4.8780 5 calcium channel activity 93 molecular function
2.2576280551010304 2.3831 352 cell part 14761 cellular component
2.255178689956665 3.8462 2 negative regulation of protein kinase activity 58 biological process
3.7736 negative regulation of transferase activity 59
2.6667 negative regulation of enzyme activity 89
2.2540424267450967 1.9608 7 negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process 358
2.252760338363143 2.4522 294 cellular process 11986
2.252472698688507 1.7544 2 transcription corepressor activity 119 molecular function
2.248631090488074 2.4047 73 regulation of metabolic process 3018 biological process
2.246480769722174 2.4413 377 biological_process 15431
2.243723976612091 2.0202 15 macromolecule biosynthetic process 762
2.241470267334763 2.4400 319 binding 13082 molecular function
2.2348088707242693 2.5271 8 nervous system development 321 biological process
2.2326475211552212 1.9608 negative regulation of cellular metabolic process 414
2.231512101073014 3.0400 22 membrane fraction 739 cellular component
2.2310752868652344 11.1111 3 actomyosin structure organization and biogenesis 25 biological process
1.0582 2 actin cytoskeleton organization and biogenesis 224
0.9950 actin filament-based process 237
2.2257004976272583 1.8248 9 olfactory receptor activity 497 molecular function
2.2204760638150303 1.6923 14 extracellular region part 826 cellular component
2.220401409599516 2.2099 53 zinc ion binding 2403 molecular function
2.216642654982189 2.4279 192 intracellular organelle 7902 cellular component
2.4275 organelle 7904
2.2164768129587173 3.4335 9 organ morphogenesis 264 biological process
2.215940025315356 2.4157 170 intracellular membrane-bound organelle 7030 cellular component
membrane-bound organelle
2.210925724557651 2.3834 239 intracellular part 10046
2.2093183655257618 2.3335 137 catalytic activity 5858 molecular function
2.208425521850586 4.3478 1 glucose transport 27 biological process
4.1667 hexose transport 28
monosaccharide transport
2.0408 protein amino acid autophosphorylation 50
1.9608 protein autoprocessing 53
1.8868 carbohydrate transport 62
2.2058627247810363 2.0161 23 negative regulation of cellular process 1164
1.8957 negative regulation of biological process 1238
2.201751559972763 1.8244 G-protein coupled receptor activity 1284 molecular function
2.201178240776062 3.3727 24 hydrolase activity, acting on ester bonds 723
2.195966625213623 1.9569 14 cytoskeletal part 696 cellular component
2.1933199167251587 1.6000 2 tRNA metabolic process 142 biological process
2.1927802711725235 3.4188 20 sequence-specific DNA binding 579 molecular function
2.1918027877807615 2.0661 12 metal ion transport 569 biological process
2.189393002362478 2.1594 110 integral to membrane 5089 cellular component

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/