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) Class % Affected Genes Would Be Affected (#genes) Class Size (#genes) affected Microarray Measured (#genes) Class Accession
Results: HTML CSV LaTeX Showing element 501 to 550 of 8866 in total
Average Regulation (ratio)
Class
% Affected Genes
Would Be Affected (#genes)
Class Size (#genes)
Class
2.259546995162964 threonine-tRNA ligase activity 33.3333 1 3 molecular function
threonyl-tRNA aminoacylation biological process
tRNA aminoacylation 1.3889 79
tRNA aminoacylation for protein translation
2.259431820927244 molecular_function 2.3913 401 16757 molecular function
2.259032130241394 cell activation 2.0408 4 174 biological process
leukocyte activation 2.3077 3 146
2.2586302757263184 calcium channel activity 4.8780 5 93 molecular function
2.2576280551010304 cell part 2.3831 352 14761 cellular component
2.255178689956665 negative regulation of enzyme activity 2.6667 2 89 biological process
negative regulation of protein kinase activity 3.8462 58
negative regulation of transferase activity 3.7736 59
2.2540424267450967 negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process 1.9608 7 358
2.252760338363143 cellular process 2.4522 294 11986
2.252472698688507 transcription corepressor activity 1.7544 2 119 molecular function
2.248631090488074 regulation of metabolic process 2.4047 73 3018 biological process
2.246480769722174 biological_process 2.4413 377 15431
2.243723976612091 macromolecule biosynthetic process 2.0202 15 762
2.241470267334763 binding 2.4400 319 13082 molecular function
2.2348088707242693 nervous system development 2.5271 8 321 biological process
2.2326475211552212 negative regulation of cellular metabolic process 1.9608 414
2.231512101073014 membrane fraction 3.0400 22 739 cellular component
2.2310752868652344 actin cytoskeleton organization and biogenesis 1.0582 2 224 biological process
actin filament-based process 0.9950 237
actomyosin structure organization and biogenesis 11.1111 3 25
2.2257004976272583 olfactory receptor activity 1.8248 9 497 molecular function
2.2204760638150303 extracellular region part 1.6923 14 826 cellular component
2.220401409599516 zinc ion binding 2.2099 53 2403 molecular function
2.216642654982189 intracellular organelle 2.4279 192 7902 cellular component
organelle 2.4275 7904
2.2164768129587173 organ morphogenesis 3.4335 9 264 biological process
2.215940025315356 intracellular membrane-bound organelle 2.4157 170 7030 cellular component
membrane-bound organelle
2.210925724557651 intracellular part 2.3834 239 10046
2.2093183655257618 catalytic activity 2.3335 137 5858 molecular function
2.208425521850586 carbohydrate transport 1.8868 1 62 biological process
glucose transport 4.3478 27
hexose transport 4.1667 28
monosaccharide transport
protein amino acid autophosphorylation 2.0408 50
protein autoprocessing 1.9608 53
2.2058627247810363 negative regulation of biological process 1.8957 23 1238
negative regulation of cellular process 2.0161 1164
2.201751559972763 G-protein coupled receptor activity 1.8244 1284 molecular function
2.201178240776062 hydrolase activity, acting on ester bonds 3.3727 24 723
2.195966625213623 cytoskeletal part 1.9569 14 696 cellular component
2.1933199167251587 tRNA metabolic process 1.6000 2 142 biological process
2.1927802711725235 sequence-specific DNA binding 3.4188 20 579 molecular function
2.1918027877807615 metal ion transport 2.0661 12 569 biological process
2.189393002362478 integral to membrane 2.1594 110 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/